Svetha Venkatesh

758 papers A* 117A 57B 73C 24Misc 6Journal 325Unranked 155

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models. CoRR Giang Ngo, Dat Phan-Trong, Dang Nguyen, Sunil Gupta, Svetha Venkatesh
2026	J	`jnl`	ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities. CoRR Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Svetha Venkatesh
2026	J	`jnl`	Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention. CoRR Manh Nguyen, Anh Nguyen, Dung Nguyen, Svetha Venkatesh, Hung Le
2026	J	`jnl`	Score-based Integrated Gradient for Root Cause Explanations of Outliers. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025	J	`jnl`	Accelerated experimental design using a human-AI teaming framework. Knowl. Based Syst. Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Sunil Gupta, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
2025	—	`conf`	Defense Against Multi-target Multi-trigger Backdoor Attacks. PAKDD (6) Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh
2025	—	`conf`	Dynamic Steering With Episodic Memory For Large Language Models. ACL (Findings) Van Dai Do, Quan Hung Tran, Svetha Venkatesh, Hung Le
2025	A	`conf`	Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. WACV Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh
2025	A*	`conf`	Federated Domain Generalization with Latent Space Inversion. ICDM Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
2025	J	`jnl`	Federated Domain Generalization with Latent Space Inversion. CoRR Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta
2025	J	`jnl`	Finding the Trigger: Causal Abductive Reasoning on Video Events. CoRR Thao Minh Le, Vuong Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	J	`jnl`	Fine-Grained Fidgety Movement Classification Using Active Learning. IEEE J. Biomed. Health Informatics Romero F. A. B. de Morais, Truyen Tran, Caroline Alexander, Natasha Amery, Catherine Morgan, Alicia J. Spittle, Vuong Le, Nadia Badawi, Alison Salt, Jane Valentine, Catherine Elliott, Elizabeth M. Hurrion, Paul A. Dawson, Svetha Venkatesh
2025	J	`jnl`	LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying. Neural Comput. Appl. Thommen Karimpanal George, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025	J	`jnl`	Large Language Models for Imbalanced Classification: Diversity makes the difference. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Binh T. Nguyen, Taylor A. Braund, Alexis E. Whitton, Svetha Venkatesh
2025	A*	`conf`	Multi-Reference Preference Optimization for Large Language Models. AAAI Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2025	A	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. AAMAS Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	A*	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	J	`jnl`	Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. CoRR Hung Le, Dai Do, Dung Nguyen, Svetha Venkatesh
2025	J	`jnl`	Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. Trans. Mach. Learn. Res. Hung Le, Van Dai Do, Dung Nguyen, Svetha Venkatesh
2025	J	`jnl`	SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models. CoRR Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le
2025	A*	`conf`	Score-Based Integrated Gradient for Root Cause Explanations of Outliers. ICDM Phuoc Nguyen, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025	A*	`conf`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. ICLR Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2025	—	`conf`	Targeted Manifold Manipulation Against Adversarial Attacks. SaTML Banibrata Ghosh, Haripriya Harikumar, Svetha Venkatesh, Santu Rana
2025	J	`jnl`	Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models. CoRR Manh Nguyen, Dung Nguyen, Dai Do, Svetha Venkatesh, Hung Le
2025	J	`jnl`	Unpaired recurrent learning for real-world video de-hazing. Pattern Recognit. Prashant W. Patil, Santosh Nagnath Randive, Sunil Gupta, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala
2025	J	`jnl`	amVAE: Age-aware multimorbidity clustering using variational autoencoders. Comput. Biol. Medicine Nikolaj Normann Holm, Thao Minh Le, Anne Frølich, Ove Andersen, Helle Gybel Juul-Larsen, Anders Stockmarr, Svetha Venkatesh
2024	A*	`conf`	Active Set Ordering. NeurIPS Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh, Bryan Kian Hsiang Low, Patrick Jaillet
2024	A	`conf`	Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2024	—	`conf`	Composite Concept Extraction Through Backdooring. ICPR (29) Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana
2024	J	`jnl`	Composite Concept Extraction through Backdooring. CoRR Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana
2024	A*	`conf`	Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks. CoRR Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh
2024	—	`conf`	Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. ECML/PKDD (6) A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh
2024	J	`jnl`	Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. CoRR A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh
2024	J	`jnl`	Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	A*	`conf`	Generating Realistic Tabular Data with Large Language Models. ICDM Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	J	`jnl`	Generating Realistic Tabular Data with Large Language Models. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	A	`conf`	Large Language Model Prompting with Episodic Memory. ECAI Dai Do, Quan Tran, Svetha Venkatesh, Hung Le
2024	J	`jnl`	Large Language Models Prompting With Episodic Memory. CoRR Dai Do, Quan Tran, Svetha Venkatesh, Hung Le
2024	A	`conf`	Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. WACV Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh
2024	J	`jnl`	Learning evolving relations for multivariate time series forecasting. Appl. Intell. Binh Nguyen-Thai, Vuong Le, Ngoc-Dung T. Tieu, Truyen Tran, Svetha Venkatesh, Naeem Ramzan
2024	J	`jnl`	Multi-Reference Preference Optimization for Large Language Models. CoRR Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
2024	J	`jnl`	Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime. CoRR Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. Trans. Mach. Learn. Res. Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Predicting the Reliability of an Image Classifier under Image Distortion. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2024	—	`conf`	Revisiting Sample Weights Based Method for Noisy-Label Detection and Classification. ACCV (1) Tuan Hoang, Hung Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh
2024	A	`conf`	Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	A*	`conf`	Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
2024	J	`jnl`	Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. CoRR Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh
2024	—	`conf`	Variable-Agnostic Causal Exploration for Reinforcement Learning. ECML/PKDD (2) Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
2024	J	`jnl`	Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
2023	J	`jnl`	BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR Sunil Gupta, Alistair Shilton, Arun Kumar A. V., Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
2023	J	`jnl`	Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2023	C	`conf`	Domain Generalization with Interpolation Robustness. ACML Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
2023	J	`jnl`	Gradient Descent in Neural Networks as Sequential Learning in RKBS. CoRR Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
2023	A*	`conf`	Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space. ICML Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
2023	A	`conf`	Guiding Visual Question Answering with Attention Priors. WACV Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Intrinsic Motivation via Surprise Memory. CoRR Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
2023	J	`jnl`	LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2023	J	`jnl`	Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. CoRR Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh
2023	A*	`conf`	Memory-Augmented Theory of Mind Network. AAAI Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Memory-Augmented Theory of Mind Network. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	A*	`conf`	Multi-weather Image Restoration via Domain Translation. ICCV Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala
2023	A*	`conf`	On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. AAAI Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
2023	A*	`conf`	Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. ICCV Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. CoRR Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Predictive Modeling through Hyper-Bayesian Optimization. CoRR Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh
2023	J	`jnl`	Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. IEEE J. Biomed. Health Informatics Romero F. A. B. de Morais, Vuong Le, Catherine Morgan, Alicia J. Spittle, Nadia Badawi, Jane Valentine, Elizabeth M. Hurrion, Paul A. Dawson, Truyen Tran, Svetha Venkatesh
2023	J	`jnl`	Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
2023	A*	`conf`	Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	A*	`conf`	TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. SP Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh
2023	J	`jnl`	Zero-shot Sim2Real Adaptation Across Environments. CoRR Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
2022	—	`conf`	Black-Box Few-Shot Knowledge Distillation. ECCV (21) Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2022	J	`jnl`	Black-box Few-shot Knowledge Distillation. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
2022	J	`jnl`	Defense Against Multi-target Trojan Attacks. CoRR Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Dual-frame spatio-temporal feature modulation for video enhancement. Pattern Recognit. Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh
2022	A*	`conf`	Episodic Policy Gradient Training. AAAI Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2022	A*	`conf`	Expected Improvement for Contextual Bandits. NeurIPS Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh
2022	J	`jnl`	Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
2022	B	`conf`	Fast Model-based Policy Search for Universal Policy Networks. ICPR Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Fast Model-based Policy Search for Universal Policy Networks. CoRR Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
2022	A*	`conf`	Generative Pseudo-Inverse Memory. ICLR Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
2022	J	`jnl`	Guiding Visual Question Answering with Attention Priors. CoRR Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2022	A*	`conf`	Human-AI Collaborative Bayesian Optimisation. NeurIPS Arun Kumar A. V., Santu Rana, Alistair Shilton, Svetha Venkatesh
2022	—	`conf`	Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. ICPR Workshops (2) Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
2022	A	`conf`	Learning Theory of Mind via Dynamic Traits Attribution. AAMAS Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning Theory of Mind via Dynamic Traits Attribution. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	A*	`conf`	Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	A	`conf`	Learning to Transfer Role Assignment Across Team Sizes. AAMAS Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning to Transfer Role Assignment Across Team Sizes. CoRR Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Memory-Constrained Policy Optimization. CoRR Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
2022	A*	`conf`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	A*	`conf`	Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML Hung Le, Svetha Venkatesh
2022	A*	`conf`	Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. ICLR Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
2022	J	`jnl`	On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
2022	J	`jnl`	On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces. Trans. Mach. Learn. Res. Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh
2022	—	`conf`	Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Persistent-Transient Duality in Human Behavior Modeling. CoRR Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Prescriptive analytics with differential privacy. Int. J. Data Sci. Anal. Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
2022	—	`conf`	Real-Time Skill Discovery in Intelligent Virtual Assistants. PAKDD (1) Preeti Gopal, Sunil Gupta, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh
2022	A	`conf`	Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. AISTATS Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. CoRR Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
2022	—	`conf`	Semantic Control of Generative Musical Attributes. ISMIR Stewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta, Svetha Venkatesh
2022	A*	`conf`	TRF: Learning Kernels with Tuned Random Features. AAAI Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh
2022	—	`conf`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	B	`conf`	Uncertainty Aware System Identification with Universal Policies. ICPR Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Uncertainty Aware System Identification with Universal Policies. CoRR Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Verification of integrity of deployed deep learning models using Bayesian Optimization. Knowl. Based Syst. Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
2022	—	`conf`	Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions. ECCV (28) Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research. CoRR Thomas P. Quinn, Sunil Gupta, Svetha Venkatesh, Vuong Le
2021	A*	`conf`	A New Representation of Successor Features for Transfer across Dissimilar Environments. ICML Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	A New Representation of Successor Features for Transfer across Dissimilar Environments. CoRR Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos. IEEE J. Biomed. Health Informatics Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos. CoRR Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms. CoRR Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	Adaptive cost-aware Bayesian optimization. Knowl. Based Syst. Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2021	A*	`conf`	Bayesian Optimistic Optimisation with Exponentially Decaying Regret. ICML Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	Bayesian Optimistic Optimisation with Exponentially Decaying Regret. CoRR Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	A*	`conf`	Clustering by Maximizing Mutual Information Across Views. ICCV Kien Do, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Clustering by Maximizing Mutual Information Across Views. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support. CoRR Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh
2021	A*	`conf`	Distributional Reinforcement Learning via Moment Matching. AAAI Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh
2021	J	`jnl`	Episodic Policy Gradient Training. CoRR Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh
2021	J	`jnl`	Fairness improvement for black-box classifiers with Gaussian process. Inf. Sci. Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
2021	—	`conf`	Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
2021	J	`jnl`	GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh
2021	J	`jnl`	Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. Int. J. Comput. Vis. Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2021	A*	`conf`	High Dimensional Level Set Estimation with Bayesian Neural Network. AAAI Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. CoRR Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
2021	A*	`conf`	Kernel Functional Optimisation. NeurIPS Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
2021	—	`conf`	Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh
2021	A*	`conf`	Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
2021	J	`jnl`	Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
2021	A*	`conf`	Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. CoRR Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
2021	J	`jnl`	On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks. CoRR Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh
2021	J	`jnl`	PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
2021	J	`jnl`	Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient. BioData Min. Haripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta, Svetha Venkatesh
2021	J	`jnl`	Plug and Play, Model-Based Reinforcement Learning. CoRR Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
2021	J	`jnl`	Semantic Host-free Trojan Attack. CoRR Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh
2021	A*	`conf`	Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI Kien Do, Truyen Tran, Svetha Venkatesh
2021	—	`conf`	Sparse Spectrum Gaussian Process for Bayesian Optimization. PAKDD (2) Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2021	C	`conf`	Targeted Universal Adversarial Perturbations for Automatic Speech Recognition. ISC Wei Zong, Yang-Wai Chow, Willy Susilo, Santu Rana, Svetha Venkatesh
2021	—	`conf`	Variational Hyper-encoding Networks. ECML/PKDD (2) Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
2020	A	`conf`	Accelerated Bayesian Optimisation through Weight-Prior Tuning. AISTATS Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
2020	J	`jnl`	Batch Bayesian optimization using multi-scale search. Knowl. Based Syst. Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Bayesian Optimization for Adaptive Experimental Design: A Review. IEEE Access Stewart Greenhill, Santu Rana, Sunil Gupta, Pratibha Vellanki, Svetha Venkatesh
2020	A*	`conf`	Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. AAAI Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
2020	—	`conf`	Bayesian Optimization with Missing Inputs. ECML/PKDD (2) Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	J	`jnl`	Bayesian Optimization with Missing Inputs. CoRR Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	J	`jnl`	Bayesian optimisation in unknown bounded search domains. Knowl. Based Syst. Julian Berk, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh
2020	J	`jnl`	Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing. npj Digit. Medicine Steven Allender, Joshua Hayward, Sunil Gupta, A. Sanigorski, Santu Rana, Hugh Seward, Stephan Jacobs, Svetha Venkatesh
2020	A*	`conf`	DeepCoDA: personalized interpretability for compositional health data. ICML Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	DeepCoDA: personalized interpretability for compositional health data. CoRR Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Distributional Reinforcement Learning with Maximum Mean Discrepancy. CoRR Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh
2020	A	`conf`	Distributionally Robust Bayesian Quadrature Optimization. AISTATS Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh
2020	J	`jnl`	Distributionally Robust Bayesian Quadrature Optimization. CoRR Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh
2020	A*	`conf`	Dynamic Language Binding in Relational Visual Reasoning. IJCAI Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	J	`jnl`	Dynamic Language Binding in Relational Visual Reasoning. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	B	`conf`	Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. ICPR Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Fast hyperparameter tuning using Bayesian optimization with directional derivatives. Knowl. Based Syst. Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	A*	`conf`	Hierarchical Conditional Relation Networks for Video Question Answering. CVPR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	J	`jnl`	Hierarchical Conditional Relation Networks for Video Question Answering. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	J	`jnl`	High Dimensional Level Set Estimation with Bayesian Neural Network. CoRR Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	J	`jnl`	HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
2020	J	`jnl`	Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. CoRR Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh
2020	J	`jnl`	Incorporating Expert Prior in Bayesian Optimisation via Space Warping. CoRR Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2020	J	`jnl`	Incorporating expert prior in Bayesian optimisation via space warping. Knowl. Based Syst. Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2020	B	`conf`	Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. IJCNN Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2020	A	`conf`	Learning to Abstract and Predict Human Actions. BMVC Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Learning to Abstract and Predict Human Actions. CoRR Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
2020	—	`conf`	Level Set Estimation with Search Space Warping. PAKDD (2) Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Logically Consistent Loss for Visual Question Answering. CoRR Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	—	`conf`	MrPC: Causal Structure Learning in Distributed Systems. ICONIP (4) Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh
2020	B	`conf`	Neural Reasoning, Fast and Slow, for Video Question Answering. IJCNN Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	A*	`conf`	Neural Stored-program Memory. ICLR Hung Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. CoRR Hung Le, Svetha Venkatesh
2020	A*	`conf`	Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation. IJCAI Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	J	`jnl`	Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation. CoRR Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	—	`conf`	Scalable Backdoor Detection in Neural Networks. ECML/PKDD (2) Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Scalable Backdoor Detection in Neural Networks. CoRR Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh
2020	A*	`conf`	Self-Attentive Associative Memory. ICML Hung Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Self-Attentive Associative Memory. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition. CoRR Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	A*	`conf`	Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces. NeurIPS Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh
2020	J	`jnl`	Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces. CoRR Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh
2020	A*	`conf`	The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future. ACM Multimedia Susanne Boll, Hari Sundaram, Svetha Venkatesh, Martha A. Larson, Mohan S. Kankanhalli
2020	C	`conf`	Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
2020	J	`jnl`	Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
2020	A*	`conf`	Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. AAAI Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
2020	J	`jnl`	Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Gener. Comput. Syst. Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Hung Nguyen, Duc Thanh Nguyen, John Yearwood, Dinh Quoc Phung, Svetha Venkatesh, Helen Christensen
2019	J	`jnl`	A flexible transfer learning framework for Bayesian optimization with convergence guarantee. Expert Syst. Appl. Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
2019	J	`jnl`	Accelerating Experimental Design by Incorporating Experimenter Hunches. CoRR Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
2019	J	`jnl`	Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2019	A*	`conf`	Bayesian Functional Optimisation with Shape Prior. AAAI Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
2019	—	`conf`	Bayesian Optimisation for Objective Functions with Varying Smoothness. Australasian Conference on Artificial Intelligence A. V. Arun Kumar, Santu Rana, Cheng Li, Sunil Gupta, Alistair Shilton, Svetha Venkatesh
2019	J	`jnl`	Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. CoRR Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
2019	—	`conf`	Bayesian Optimization with Discrete Variables. Australasian Conference on Artificial Intelligence Phuc Luong, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
2019	A*	`conf`	Bayesian Optimization with Unknown Search Space. NeurIPS Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh
2019	J	`jnl`	Bayesian Optimization with Unknown Search Space. CoRR Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh
2019	J	`jnl`	Cost-aware Multi-objective Bayesian optimisation. CoRR Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
2019	—	`conf`	Detection of Compromised Models Using Bayesian Optimization. Australasian Conference on Artificial Intelligence Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
2019	A*	`conf`	Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. ICDM Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh
2019	—	`conf`	Explaining Black-Box Models Using Interpretable Surrogates. PRICAI (1) Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh
2019	J	`jnl`	Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives. CoRR Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
2019	J	`jnl`	Filtering Bayesian optimization approach in weakly specified search space. Knowl. Inf. Syst. Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2019	A*	`conf`	Graph Transformation Policy Network for Chemical Reaction Prediction. KDD Kien Do, Truyen Tran, Svetha Venkatesh
2019	—	`conf`	Improving Generalization and Stability of Generative Adversarial Networks. ICLR (Poster) Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Improving Generalization and Stability of Generative Adversarial Networks. CoRR Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2019	A	`conf`	Incomplete Conditional Density Estimation for Fast Materials Discovery. SDM Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh
2019	—	`conf`	Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation. Australasian Conference on Artificial Intelligence Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh
2019	A*	`conf`	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CVPR Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
2019	J	`jnl`	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
2019	J	`jnl`	Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. CoRR Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Learning to Reason with Relational Video Representation for Question Answering. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2019	—	`conf`	Learning to Remember More with Less Memorization. ICLR Hung Le, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Learning to Remember More with Less Memorization. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2019	A*	`conf`	Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
2019	J	`jnl`	Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
2019	A*	`conf`	Multi-objective Bayesian optimisation with preferences over objectives. NeurIPS Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
2019	J	`jnl`	Multi-objective Bayesian optimisation with preferences over objectives. CoRR Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
2019	J	`jnl`	Neural Stored-program Memory. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Sparse Spectrum Gaussian Process for Bayesian Optimisation. CoRR Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2019	J	`jnl`	Stable Bayesian Optimisation via Direct Stability Quantification. CoRR Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen
2019	J	`jnl`	Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety. npj Digit. Medicine Kit Huckvale, Svetha Venkatesh, Helen Christensen
2019	J	`jnl`	Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. CoRR Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	—	`conf`	A Privacy Preserving Bayesian Optimization with High Efficiency. PAKDD (3) Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	J	`jnl`	Academia versus social media: A psycho-linguistic analysis. J. Comput. Sci. Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	A*	`conf`	Accelerating Experimental Design by Incorporating Experimenter Hunches. ICDM Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
2018	A*	`conf`	Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation. NeurIPS Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh
2018	J	`jnl`	Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	J	`jnl`	Bayesian functional optimisation with shape prior. CoRR Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
2018	A*	`conf`	Differentially Private Prescriptive Analytics. ICDM Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
2018	J	`jnl`	Discovering topic structures of a temporally evolving document corpus. Knowl. Inf. Syst. Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh
2018	—	`conf`	Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2018	A*	`conf`	Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. J. Medical Syst. Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
2018	B	`conf`	Efficient Bayesian Optimisation Using Derivative Meta-model. PRICAI Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2018	J	`jnl`	Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. Kien Do, Truyen Tran, Svetha Venkatesh
2018	B	`conf`	Expected Hypervolume Improvement with Constraints. ICPR Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
2018	A	`conf`	Exploiting Strategy-Space Diversity for Batch Bayesian Optimization. AISTATS Sunil Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh
2018	—	`conf`	Exploration Enhanced Expected Improvement for Bayesian Optimization. ECML/PKDD (2) Julian Berk, Vu Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	B	`conf`	Graph Memory Networks for Molecular Activity Prediction. ICPR Trang Pham, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Graph Memory Networks for Molecular Activity Prediction. CoRR Trang Pham, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Hybrid Generative-Discriminative Models for Inverse Materials Design. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	—	`conf`	Information-Theoretic Transfer Learning Framework for Bayesian Optimisation. ECML/PKDD (2) Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	—	`conf`	Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. WISE (2) Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2018	J	`jnl`	Kernel Pre-Training in Feature Space via m-Kernels. CoRR Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
2018	B	`conf`	Knowledge Graph Embedding with Multiple Relation Projections. ICPR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Knowledge Graph Embedding with Multiple Relation Projections. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. Knowl. Based Syst. Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2018	A	`conf`	Learning Graph Representation via Frequent Subgraphs. SDM Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	A	`conf`	Multi-Target Optimisation via Bayesian Optimisation and Linear Programming. UAI Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
2018	J	`jnl`	On catastrophic forgetting and mode collapse in Generative Adversarial Networks. CoRR Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Practical Batch Bayesian Optimization for Less Expensive Functions. CoRR Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2018	—	`conf`	Prescriptive Analytics Through Constrained Bayesian Optimization. PAKDD (1) Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
2018	J	`jnl`	Relational dynamic memory networks. CoRR Trang Pham, Truyen Tran, Svetha Venkatesh
2018	B	`conf`	Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. IJCNN Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. CoRR Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2018	—	`conf`	Selecting Optimal Source for Transfer Learning in Bayesian Optimisation. PRICAI (1) Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	—	`conf`	Sparse Approximation for Gaussian Process with Derivative Observations. Australasian Conference on Artificial Intelligence Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2018	—	`conf`	Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. ECML/PKDD (2) Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	J	`jnl`	Stable Bayesian optimization. Int. J. Data Sci. Anal. Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	J	`jnl`	The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. CoRR Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen
2018	—	`conf`	Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. PAKDD (3) Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh
2018	A*	`conf`	Variational Memory Encoder-Decoder. NeurIPS Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	J	`jnl`	Variational Memory Encoder-Decoder. CoRR Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2017	J	`jnl`	A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare. IEEE J. Biomed. Health Informatics Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
2017	A*	`conf`	Bayesian Optimization in Weakly Specified Search Space. ICDM Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2017	J	`jnl`	Budgeted Batch Bayesian Optimization With Unknown Batch Sizes. CoRR Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, Svetha Venkatesh
2017	A*	`conf`	Column Networks for Collective Classification. AAAI Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017	—	`conf`	Deep Learning to Attend to Risk in ICU. KDH@IJCAI Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Deep Learning to Attend to Risk in ICU. CoRR Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions. Knowl. Inf. Syst. Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
2017	—	`conf`	Energy-Based Localized Anomaly Detection in Video Surveillance. PAKDD (1) Hung Vu, Tu Dinh Nguyen, Anthony Travers, Svetha Venkatesh, Dinh Q. Phung
2017	J	`jnl`	Energy-based Models for Video Anomaly Detection. CoRR Hung Vu, Dinh Q. Phung, Tu Dinh Nguyen, Anthony Trevors, Svetha Venkatesh
2017	—	`conf`	Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. WISE (1) Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung
2017	J	`jnl`	Estimation of the prevalence of adverse drug reactions from social media. Int. J. Medical Informatics Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2017	J	`jnl`	Finding Algebraic Structure of Care in Time: A Deep Learning Approach. CoRR Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Graph Classification via Deep Learning with Virtual Nodes. CoRR Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh
2017	J	`jnl`	Hierarchical semi-Markov conditional random fields for deep recursive sequential data. Artif. Intell. Truyen Tran, Dinh Quoc Phung, Hung Bui, Svetha Venkatesh
2017	A*	`conf`	High Dimensional Bayesian Optimization using Dropout. IJCAI Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton
2017	A*	`conf`	High Dimensional Bayesian Optimization with Elastic Gaussian Process. ICML Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh
2017	J	`jnl`	Kernel-based features for predicting population health indices from geocoded social media data. Decis. Support Syst. Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2017	J	`jnl`	Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. Int. J. Data Sci. Anal. Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2017	J	`jnl`	Matrix-centric Neural Networks. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization. CoRR Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017	J	`jnl`	Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data. Knowl. Inf. Syst. Pratibha Vellanki, Thi V. Duong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung
2017	J	`jnl`	One Size Fits Many: Column Bundle for Multi-X Learning. CoRR Trang Pham, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Predicting healthcare trajectories from medical records: A deep learning approach. J. Biomed. Informatics Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017	—	`conf`	Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features. WWW (Companion Volume) Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2017	—	`conf`	Process-constrained batch Bayesian optimisation. NIPS Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin, Alessandra Sutti, Thomas Dorin, Murray Height, Paul G. Sanders, Svetha Venkatesh
2017	A	`conf`	Regret Bounds for Transfer Learning in Bayesian Optimisation. AISTATS Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
2017	C	`conf`	Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. ACML Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2017	—	`conf`	Stable Bayesian Optimization. PAKDD (2) Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2017	J	`jnl`	Statistical Latent Space Approach for Mixed Data Modelling and Applications. CoRR Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017	J	`jnl`	Using linguistic and topic analysis to classify sub-groups of online depression communities. Multim. Tools Appl. Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2016	C	`conf`	A Bayesian Nonparametric Approach for Multi-label Classification. ACML Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2016	J	`jnl`	A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. IEEE J. Biomed. Health Informatics Budhaditya Saha, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	A new transfer learning framework with application to model-agnostic multi-task learning. Knowl. Inf. Syst. Sunil Gupta, Santu Rana, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	Achieving stable subspace clustering by post-processing generic clustering results. IJCNN Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh
2016	J	`jnl`	Achieving stable subspace clustering by post-processing generic clustering results. CoRR Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh
2016	J	`jnl`	An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. CoRR Nguyen Cong Thuong, Truyen Tran, Shivapratap Gopakumar, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	Analysing the History of Autism Spectrum Disorder Using Topic Models. DSAA Adham Beykikhoshk, Dinh Q. Phung, Ognjen Arandjelovic, Svetha Venkatesh
2016	B	`conf`	Bayesian nonparametric Multiple Instance Regression. ICPR Saravanan Subramanian, Santu Rana, Sunil Gupta, Palaniappan Bagavathi Sivakumar, C. Shunmuga Velayutham, Svetha Venkatesh
2016	A*	`conf`	Budgeted Batch Bayesian Optimization. ICDM Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh
2016	J	`jnl`	CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features. IEEE Trans. Circuits Syst. Video Technol. Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2016	—	`conf`	Cascade Bayesian Optimization. Australasian Conference on Artificial Intelligence Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Kyle J. Deane, Paul G. Sanders
2016	J	`jnl`	Choice by Elimination via Deep Neural Networks. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Collaborative filtering via sparse Markov random fields. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Collaborative filtering via sparse Markov random fields. Inf. Sci. Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Column Networks for Collective Classification. CoRR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	Misc	`conf`	Computer assisted autism interventions for India. OZCHI Pratibha Vellanki, Stewart Greenhill, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh, Jayashree Godwin, Krishnaveni Achary, Blessin Varkey
2016	J	`jnl`	Control Matching via Discharge Code Sequences. CoRR Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Data Mining of Intervention for Children with Autism Spectrum Disorder. eHealth 360° Pratibha Vellanki, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Data clustering using side information dependent Chinese restaurant processes. Knowl. Inf. Syst. Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. PAKDD (2) Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. CoRR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Deepr: A Convolutional Net for Medical Records. CoRR Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh
2016	—	`conf`	Differentially Private Multi-task Learning. PAISI Sunil Kumar Gupta, Santu Rana, Svetha Venkatesh
2016	A	`conf`	Discovering latent affective dynamics among individuals in online mental health-related communities. ICME Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	—	`conf`	Discriminative Cues for Different Stages of Smoking Cessation in Online Community. WISE (2) Thin Nguyen, Ron Borland, John Yearwood, Hua-Hie Yong, Svetha Venkatesh, Dinh Q. Phung
2016	—	`conf`	Effect of social capital on emotion, language style and latent topics in online depression community. RIVF Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	—	`conf`	Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. Australasian Conference on Artificial Intelligence Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	C	`conf`	Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. ADMA Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh
2016	J	`jnl`	Faster Training of Very Deep Networks Via p-Norm Gates. CoRR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	Faster training of very deep networks via p-norm gates. ICPR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Flexible Transfer Learning Framework for Bayesian Optimisation. PAKDD (1) Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
2016	—	`conf`	Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. ICHI Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Graph-induced restricted Boltzmann machines for document modeling. Inf. Sci. Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records. Knowl. Based Syst. Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	Hyperparameter tuning for big data using Bayesian optimisation. ICPR Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
2016	—	`conf`	Large-Scale Stylistic Analysis of Formality in Academia and Social Media. WISE (2) Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	—	`conf`	Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. PAKDD Workshops Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	B	`conf`	Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. DSAA Nguyen Thanh Binh, Vu Nguyen, Nguyen Cong Thuong, Svetha Venkatesh, Mohan Kumar, Dinh Q. Phung
2016	J	`jnl`	Learning deep representation of multityped objects and tasks. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data. ICPR Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	J	`jnl`	Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach. Knowl. Inf. Syst. Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Modelling multilevel data in multimedia: A hierarchical factor analysis approach. Multim. Tools Appl. Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Multi-task transfer learning for in-hospital-death prediction of ICU patients. EMBC Chandan K. Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh
2016	J	`jnl`	Multilevel Anomaly Detection for Mixed Data. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2016	B	`conf`	Multiple adverse effects prediction in longitudinal cancer treatment. ICPR Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, David Ashely, Trish Livingston
2016	J	`jnl`	Multiple task transfer learning with small sample sizes. Knowl. Inf. Syst. Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Neural Choice by Elimination via Highway Networks. PAKDD Workshops Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Nonparametric discovery of movement patterns from accelerometer signals. Pattern Recognit. Lett. Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung
2016	A*	`conf`	One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. ICDM Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung
2016	C	`conf`	Outlier Detection on Mixed-Type Data: An Energy-Based Approach. ADMA Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Outlier Detection on Mixed-Type Data: An Energy-based Approach. CoRR Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data. MLHC Truyen Tran, Wei Luo, Dinh Q. Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh
2016	—	`conf`	Privacy Aware K-Means Clustering with High Utility. PAKDD (2) Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
2016	A	`conf`	Scalable Nonparametric Bayesian Multilevel Clustering. UAI Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui
2016	C	`conf`	Stabilizing Linear Prediction Models Using Autoencoder. ADMA Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Stabilizing l J. Biomed. Informatics Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	Stable clinical prediction using graph support vector machines. ICPR Iman Kamkar, Sunil Gupta, Cheng Li, Dinh Q. Phung, Svetha Venkatesh
2016	C	`conf`	Textual Cues for Online Depression in Community and Personal Settings. ADMA Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	—	`conf`	Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. PAKDD (1) Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung
2016	B	`conf`	Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. ICPR Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
2016	C	`conf`	Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media. ADMA Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh
2015	—	`conf`	A Bayesian Nonparametric Approach to Multilevel Regression. PAKDD (1) Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2015	J	`jnl`	A predictive framework for modeling healthcare data with evolving clinical interventions. Stat. Anal. Data Min. Santu Rana, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings. IEEE Trans. Affect. Comput. Thin Nguyen, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung
2015	—	`conf`	Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning. PAKDD (1) Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Detection of Dynamic Background Due to Swaying Movements From Motion Features. IEEE Trans. Image Process. Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh
2015	A*	`conf`	Differentially Private Random Forest with High Utility. ICDM Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
2015	—	`conf`	Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues. WISE (2) Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2015	J	`jnl`	Discovering topic structures of a temporally evolving document corpus. CoRR Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Efficient and accurate set-based registration of time-separated aerial images. Pattern Recognit. Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2015	B	`conf`	Exploiting feature relationships towards stable feature selection. DSAA Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2015	—	`conf`	Fast One-Class Support Vector Machine for Novelty Detection. PAKDD (2) Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh
2015	A*	`conf`	Groupwise Registration of Aerial Images. IJCAI Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2015	J	`jnl`	Groupwise registration of aerial images. CoRR Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2015	—	`conf`	Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature. PAKDD (1) Adham Beykikhoshk, Ognjen Arandjelovic, Svetha Venkatesh, Dinh Q. Phung
2015	J	`jnl`	Hierarchical Dirichlet process for tracking complex topical structure evolution and its application to autism research literature. CoRR Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh
2015	B	`conf`	Improved risk predictions via sparse imputation of patient conditions in electronic medical records. DSAA Budhaditya Saha, Sunil Gupta, Svetha Venkatesh
2015	—	`conf`	Learning Conditional Latent Structures from Multiple Data Sources. PAKDD (1) Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
2015	—	`conf`	Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines. PAKDD Workshops Pratibha Vellanki, Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh
2015	J	`jnl`	Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM). J. Biomed. Informatics Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Mixed-norm sparse representation for multi view face recognition. Pattern Recognit. Xin Zhang, Duc-Son Pham, Svetha Venkatesh, Wanquan Liu, Dinh Q. Phung
2015	Misc	`conf`	Multi-View Subspace Clustering for Face Images. DICTA Xin Zhang, Dinh Q. Phung, Svetha Venkatesh, Duc-Son Pham, Wanquan Liu
2015	B	`conf`	Nonparametric discovery of online mental health-related communities. DSAA Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2015	B	`conf`	Overcoming Data Scarcity of Twitter: Using Tweets as Bootstrap with Application to Autism-Related Topic Content Analysis. ASONAM Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis. CoRR Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh
2015	—	`conf`	Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. PAKDD (1) Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh
2015	—	`conf`	Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints. PAKDD (2) Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Stabilized sparse ordinal regression for medical risk stratification. Knowl. Inf. Syst. Truyen Tran, Dinh Q. Phung, Wei Luo, Svetha Venkatesh
2015	J	`jnl`	Stabilizing High-Dimensional Prediction Models Using Feature Graphs. IEEE J. Biomed. Health Informatics Shivapratap Gopakumar, Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh
2015	—	`conf`	Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. PAKDD (2) Shivapratap Gopakumar, Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2015	—	`conf`	Stable Feature Selection with Support Vector Machines. Australasian Conference on Artificial Intelligence Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso. J. Biomed. Informatics Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2015	C	`conf`	Streaming Variational Inference for Dirichlet Process Mixtures. ACML Viet Huynh, Dinh Q. Phung, Svetha Venkatesh
2015	A*	`conf`	Tensor-Variate Restricted Boltzmann Machines. AAAI Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2015	B	`conf`	The adaptable buffer algorithm for high quantile estimation in non-stationary data streams. IJCNN Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2015	J	`jnl`	The adaptable buffer algorithm for high quantile estimation in non-stationary data streams. CoRR Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2015	J	`jnl`	Tree-based iterated local search for Markov random fields with applications in image analysis. J. Heuristics Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams. IEEE Trans. Circuits Syst. Video Technol. Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2015	—	`conf`	Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. Australasian Conference on Artificial Intelligence Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Using Twitter to learn about the autism community. CoRR Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh, Terry Caelli
2015	J	`jnl`	Using Twitter to learn about the autism community. Soc. Netw. Anal. Min. Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh, Terry Caelli
2015	J	`jnl`	Viewpoint distortion compensation in practical surveillance systems. CoRR Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2015	A	`conf`	Visual Object Clustering via Mixed-Norm Regularization. WACV Xin Zhang, Duc-Son Pham, Dinh Q. Phung, Wanquan Liu, Budhaditya Saha, Svetha Venkatesh
2015	A	`conf`	What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships. SDM Sunil Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2014	B	`conf`	A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data. ICPR Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung
2014	J	`jnl`	A framework for feature extraction from hospital medical data with applications in risk prediction. BMC Bioinform. Truyen Tran, Wei Luo, Dinh Q. Phung, Sunil Gupta, Santu Rana, Richard Kennedy, Ann Larkins, Svetha Venkatesh
2014	J	`jnl`	Affective and Content Analysis of Online Depression Communities. IEEE Trans. Affect. Comput. Thin Nguyen, Dinh Q. Phung, Bo Dao, Svetha Venkatesh, Michael Berk
2014	—	`conf`	Affective, Linguistic and Topic Patterns in Online Autism Communities. WISE (2) Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh
2014	B	`conf`	Analysis of circadian rhythms from online communities of individuals with affective disorders. DSAA Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2014	J	`jnl`	Anomaly detection in large-scale data stream networks. Data Min. Knowl. Discov. Duc-Son Pham, Svetha Venkatesh, Mihai M. Lazarescu, Budhaditya Saha
2014	A*	`conf`	Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. ICML Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui
2014	J	`jnl`	Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
2014	J	`jnl`	Boosted Markov Networks for Activity Recognition. CoRR Tran The Truyen, Hung Bui, Svetha Venkatesh
2014	J	`jnl`	Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	B	`conf`	Data-mining twitter and the autism spectrum disorder: A Pilot study. ASONAM Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh, Terry Caelli
2014	—	`conf`	Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis. WISE (1) Bo Dao, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
2014	A*	`conf`	Fixed-lag particle filter for continuous context discovery using Indian Buffet Process. PerCom Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung
2014	J	`jnl`	Human Activity Learning and Segmentation using Partially Hidden Discriminative Models. CoRR Tran The Truyen, Hung Bui, Svetha Venkatesh
2014	B	`conf`	Individualized arrhythmia detection with ECG signals from wearable devices. DSAA Nguyen Thanh Binh, Wei Luo, Terry Caelli, Svetha Venkatesh, Dinh Q. Phung
2014	—	`conf`	Intervention-Driven Predictive Framework for Modeling Healthcare Data. PAKDD (1) Santu Rana, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2014	A	`conf`	Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions. SDM Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Learning From Ordered Sets and Applications in Collaborative Ranking. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Learning Rank Functionals: An Empirical Study. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Learning Structured Outputs from Partial Labels using Forest Ensemble. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	MCMC for Hierarchical Semi-Markov Conditional Random Fields. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2014	J	`jnl`	Mixed-Variate Restricted Boltzmann Machines. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Mood sensing from social media texts and its applications. Knowl. Inf. Syst. Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2014	B	`conf`	Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data. ICPR Pratibha Vellanki, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung
2014	J	`jnl`	Permutation Models for Collaborative Ranking. CoRR Truyen Tran, Svetha Venkatesh
2014	J	`jnl`	Preference Networks: Probabilistic Models for Recommendation Systems. CoRR Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
2014	B	`conf`	Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models. ICPR Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Social reader: towards browsing the social web. Multim. Tools Appl. Brett Adams, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records. CoRR Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	—	`conf`	Stream Quantiles via Maximal Entropy Histograms. ICONIP (2) Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2014	J	`jnl`	Stream quantiles via maximal entropy histograms. CoRR Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2014	J	`jnl`	Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Tree-based iterated local search for Markov random fields with applications in image analysis. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams. CoRR Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh
2014	B	`conf`	Unsupervised inference of significant locations from WiFi data for understanding human dynamics. MUM Nguyen Thanh Binh, Nguyen Cong Thuong, Wei Luo, Svetha Venkatesh, Dinh Q. Phung
2014	—	`conf`	iPoll: Automatic Polling Using Online Search. WISE (1) Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh
2013	J	`jnl`	A novel information theoretic approach to wavelet feature selection for texture classification. Comput. Electr. Eng. Imran Naseem, Duc-Son Pham, Svetha Venkatesh
2013	A*	`conf`	An integrated framework for suicide risk prediction. KDD Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh
2013	A	`conf`	Analysis of psycholinguistic processes and topics in online autism communities. ICME Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
2013	—	`conf`	Clustering Patient Medical Records via Sparse Subspace Representation. PAKDD (2) Budhaditya Saha, Duc-Son Pham, Dinh Q. Phung, Svetha Venkatesh
2013	J	`jnl`	Compressive speech enhancement. Speech Commun. Siow Yong Low, Duc-Son Pham, Svetha Venkatesh
2013	J	`jnl`	Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis. IEEE Trans. Multim. Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh
2013	J	`jnl`	Detection of cross-channel anomalies. Knowl. Inf. Syst. Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
2013	J	`jnl`	Efficient Algorithms for Robust Recovery of Images From Compressed Data. IEEE Trans. Image Process. Duc-Son Pham, Svetha Venkatesh
2013	J	`jnl`	Event extraction using behaviors of sentiment signals and burst structure in social media. Knowl. Inf. Syst. Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2013	A	`conf`	Exploiting side information in distance dependent Chinese restaurant processes for data clustering. ICME Cheng Li, Dinh Q. Phung, Santu Rana, Svetha Venkatesh
2013	A*	`conf`	Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes. PerCom Nguyen Cong Thuong, Dinh Q. Phung, Sunil Gupta, Svetha Venkatesh
2013	—	`conf`	Factorial Multi-Task Learning : A Bayesian Nonparametric Approach. ICML (3) Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2013	—	`conf`	Interactive browsing system for anomaly video surveillance. ISSNIP Tien-Vu Nguyen, Dinh Q. Phung, Sunil Gupta, Svetha Venkatesh
2013	—	`conf`	Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. PAKDD (1) Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013	C	`conf`	Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine. ACML Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013	A	`conf`	Learning sparse latent representation and distance metric for image retrieval. ICME Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013	A	`conf`	Online Social Capital: Mood, Topical and Psycholinguistic Analysis. ICWSM Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk
2013	J	`jnl`	Regularized nonnegative shared subspace learning. Data Min. Knowl. Discov. Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2013	A	`conf`	Sparse Subspace Clustering via Group Sparse Coding. SDM Duc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh
2013	—	`conf`	Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes. PAKDD (2) Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2013	A*	`conf`	TOBY: early intervention in autism through technology. CHI Svetha Venkatesh, Dinh Q. Phung, Thi V. Duong, Stewart Greenhill, Brett Adams
2013	—	`conf`	Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. ICML (2) Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013	—	`conf`	Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification. ICONIP (2) Tien-Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh
2012	A	`conf`	A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources. SDM Sunil Kumar Gupta, Dinh Quoc Phung, Svetha Venkatesh
2012	A	`conf`	A Sentiment-Aware Approach to Community Formation in Social Media. ICWSM Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2012	A*	`conf`	A Sequential Decision Approach to Ordinal Preferences in Recommender Systems. AAAI Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	J	`jnl`	A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning CoRR Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2012	A	`conf`	A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning. UAI Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2012	J	`jnl`	A Spectral Slit Approach to Doubletalk Detection. IEEE Trans. Speech Audio Process. Siow Yong Low, Svetha Venkatesh, Sven Nordholm
2012	B	`conf`	A nonparametric Bayesian Poisson gamma model for count data. ICPR Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2012	J	`jnl`	An innovative face image enhancement based on principle component analysis. Int. J. Mach. Learn. Cybern. Xiang Xu, Wanquan Liu, Svetha Venkatesh
2012	C	`conf`	Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. ACML Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	J	`jnl`	Efficient algorithms for robust recovery of images from compressed data. CoRR Duc-Son Pham, Svetha Venkatesh
2012	C	`conf`	Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis. FUSION Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	—	`conf`	Funniest thing i've seen since [href=//flic.kr/p/KGEGB]: shifting perspectives from multimedia artefacts to utterances. SAM@MM Brett Adams, Dinh Q. Phung, Svetha Venkatesh
2012	J	`jnl`	Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise. IEEE Trans. Image Process. Duc-Son Pham, Svetha Venkatesh
2012	A*	`conf`	Improved subspace clustering via exploitation of spatial constraints. CVPR Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
2012	—	`conf`	Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach. ICVGIP Santu Rana, Dinh Q. Phung, Sonny Pham, Svetha Venkatesh
2012	A	`conf`	Learning Boltzmann Distance Metric for Face Recognition. ICME Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	C	`conf`	Learning From Ordered Sets and Applications in Collaborative Ranking. ACML Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	B	`conf`	Multi-modal abnormality detection in video with unknown data segmentation. ICPR Tien-Vu Nguyen, Dinh Q. Phung, Santu Rana, Duc-Son Pham, Svetha Venkatesh
2012	B	`conf`	Optimal metric selection for improved multi-pose face recognition with group information. ICPR Xin Zhang, Due-Son Pharn, Wanquan Liu, Svetha Venkatesh
2012	J	`jnl`	Ordinal Boltzmann Machines for Collaborative Filtering CoRR Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
2012	J	`jnl`	Pervasive multimedia for autism intervention. Pervasive Mob. Comput. Svetha Venkatesh, Stewart Greenhill, Dinh Q. Phung, Brett Adams, Thi V. Duong
2012	A*	`conf`	Sparse Subspace Representation for Spectral Document Clustering. ICDM Budhaditya Saha, Dinh Q. Phung, Duc-Son Pham, Svetha Venkatesh
2012	—	`conf`	Towards a Video Browser for the Digital Native. ICME Workshops Brett Adams, Stewart Greenhill, Svetha Venkatesh
2011	—	`conf`	A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources. PAKDD (1) Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	—	`conf`	A context-sensitive device to help people with autism cope with anxiety. CHI Extended Abstracts Marziya Mohammedali, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	A*	`conf`	Cognitive intervention in autism using multimedia stimulus. ACM Multimedia Svetha Venkatesh, Stewart Greenhill, Dinh Q. Phung, Brett Adams
2011	A*	`conf`	Detection of Cross-Channel Anomalies from Multiple Data Channels. ICDM Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
2011	A*	`conf`	Efficient subwindow search with submodular score functions. CVPR Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh
2011	—	`conf`	Emotional Reactions to Real-World Events in Social Networks. PAKDD Workshops Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	A*	`conf`	Eventscapes: visualizing events over time with emotive facets. ACM Multimedia Brett Adams, Dinh Q. Phung, Svetha Venkatesh
2011	C	`conf`	Mixed-Variate Restricted Boltzmann Machines. ACML Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2011	A*	`conf`	Networking of multimedia women event beyond epsilon science: where to look and how to realize new opportunities. ACM Multimedia Klara Nahrstedt, Svetha Venkatesh, Nalini Venkatasubramanian, Dulce B. Ponceleon, Maria Zemankova, Susanne Boll
2011	J	`jnl`	Policy Recognition in the Abstract Hidden Markov Model CoRR Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2011	B	`conf`	Prediction of Age, Sentiment, and Connectivity from Social Media Text. WISE Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	A	`conf`	Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. SDM Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2011	—	`conf`	Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold. Australasian Conference on Artificial Intelligence Duc-Son Pham, Svetha Venkatesh
2011	A	`conf`	Towards Discovery of Influence and Personality Traits through Social Link Prediction. ICWSM Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	J	`jnl`	Unified formulation of linear discriminant analysis methods and optimal parameter selection. Pattern Recognit. Senjian An, Wanquan Liu, Svetha Venkatesh, Hong Yan
2010	B	`conf`	A Fast Extension for Sparse Representation on Robust Face Recognition. ICPR Huining Qiu, Duc-Son Pham, Svetha Venkatesh, Wanquan Liu, Jian-Huang Lai
2010	C	`conf`	A Smartphone-Based Obstacle Sensor for the Visually Impaired. UIC En Peng, Patrick Peursum, Ling Li, Svetha Venkatesh
2010	J	`jnl`	A Study on Smoothing for Particle-Filtered 3D Human Body Tracking. Int. J. Comput. Vis. Patrick Peursum, Svetha Venkatesh, Geoff A. W. West
2010	C	`conf`	A unified 2D-3D video scene change detection framework for mobile camera platforms. ICARCV Wilson S. Leoputra, Tele Tan, Svetha Venkatesh
2010	—	`conf`	Augmenting trust establishment in dynamic systems with social networks. CSIIRW Brent Lagesse, Mohan Kumar, Svetha Venkatesh, Mihai M. Lazarescu
2010	J	`jnl`	Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification. IEEE Trans. Inf. Theory Duc-Son Pham, Hung Hai Bui, Svetha Venkatesh
2010	—	`conf`	Classification and Pattern Discovery of Mood in Weblogs. PAKDD (2) Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2010	J	`jnl`	Discovery of latent subcommunities in a blog's readership. ACM Trans. Web Brett Adams, Dinh Q. Phung, Svetha Venkatesh
2010	A*	`conf`	Exploiting Monge structures in optimum subwindow search. CVPR Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh, Xiaoming Chen
2010	J	`jnl`	Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data CoRR Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
2010	—	`conf`	Hyper-community detection in the blogosphere. WSM@MM Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2010	—	`conf`	Interactively browsing movies in terms of action, foreshadowing and resolution. JCDL Stewart Greenhill, Brett Adams, Svetha Venkatesh
2010	B	`conf`	Multi-class Pattern Classification in Imbalanced Data. ICPR Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West
2010	A*	`conf`	Nonnegative shared subspace learning and its application to social media retrieval. KDD Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2010	—	`conf`	Portable form filling assistant for the visually impaired. BCS HCI En Peng, Patrick Peursum, Ling Li, Svetha Venkatesh
2010	J	`jnl`	Probabilistic Models over Ordered Partitions with Application in Learning to Rank CoRR Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
2009	A	`conf`	A Framework for the design of privacy preserving pervasive healthcare. ICME Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2009	J	`jnl`	A unified tensor framework for face recognition. Pattern Recognit. Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh
2009	—	`conf`	Automatic Fitting of a Deformable Face Mask Using a Single Image. MIRAGE Annika Kuhl, Tele Tan, Svetha Venkatesh
2009	—	`conf`	Classifying Multiple Imbalanced Attributes in Relational Data. Australasian Conference on Artificial Intelligence Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West
2009	Misc	`conf`	Comparative evaluation of pedestrian detection methods for mobile bus surveillance. ICASSP Wilson S. Leoputra, Svetha Venkatesh, Tele Tan
2009	B	`conf`	Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS Thorsten Kühnapfel, Tele Tan, Svetha Venkatesh, Burkhard Igel
2009	J	`jnl`	Dynamic Privacy in Public Surveillance. Computer Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2009	A*	`conf`	Effective Anomaly Detection in Sensor Networks Data Streams. ICDM Budhaditya Saha, Duc-Son Pham, Mihai M. Lazarescu, Svetha Venkatesh
2009	A*	`conf`	Efficient algorithms for subwindow search in object detection and localization. CVPR Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh
2009	J	`jnl`	Efficient duration and hierarchical modeling for human activity recognition. Artif. Intell. Thi V. Duong, Dinh Q. Phung, Hung Bui, Svetha Venkatesh
2009	A*	`conf`	Flickr hypergroups. ACM Multimedia Radu Andrei Negoescu, Brett Adams, Dinh Q. Phung, Svetha Venkatesh, Daniel Gatica-Perez
2009	A*	`conf`	High Accuracy Context Recovery using Clustering Mechanisms. PerCom Dinh Q. Phung, Brett Adams, Kha Tran, Svetha Venkatesh, Mohan Kumar
2009	A	`conf`	Ordinal Boltzmann Machines for Collaborative Filtering. UAI Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
2009	—	`conf`	Social reader: following social networks in the wilds of the blogosphere. WSM@MM Brett Adams, Dinh Q. Phung, Svetha Venkatesh
2009	J	`jnl`	Unsupervised context detection using wireless signals. Pervasive Mob. Comput. Dinh Q. Phung, Brett Adams, Svetha Venkatesh, Mohan Kumar
2008	J	`jnl`	"You Tube and I Find" - Personalizing Multimedia Content Access. Proc. IEEE Svetha Venkatesh, Brett Adams, Dinh Q. Phung, Chitra Dorai, Robert G. Farrell, Lalitha Agnihotri, Nevenka Dimitrova
2008	—	`conf`	08251 Abstracts Collection - Contextual and Social Media Understanding and Usage. Contextual and Social Media Understanding and Usage Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, Svetha Venkatesh
2008	—	`conf`	08251 Summary - Contextual and Social Media Understanding and Usage. Contextual and Social Media Understanding and Usage Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, Svetha Venkatesh
2008	B	`conf`	Adaptive speech enhancement with varying noise backgrounds. ICPR Thorsten Kühnapfel, Tele Tan, Svetha Venkatesh, Sven E. Nordholm, Burkhard Igel
2008	B	`conf`	Boosting performance for 2D Linear Discriminant Analysis via regression. ICPR Nam Nguyen, Wanquan Liu, Svetha Venkatesh
2008	—	`conf`	Computable social patterns from sparse sensor data. LocWeb Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2008	B	`conf`	Constrained Sequence Classification for Lexical Disambiguation. PRICAI Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
2008	B	`conf`	Context aware privacy in visual surveillance. ICPR Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2008	—	`ed.`	Contextual and Social Media Understanding and Usage, 15.06. - 20.06.2008 Contextual and Social Media Understanding and Usage Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, Svetha Venkatesh
2008	A*	`conf`	Contextual navigation in a multimedia journal. ACM Multimedia Stewart Greenhill, Svetha Venkatesh
2008	J	`jnl`	Dynamic privacy assessment in a smart house environment using multimodal sensing. ACM Trans. Multim. Comput. Commun. Appl. Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2008	B	`conf`	Efficient tensor based face recognition. ICPR Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh
2008	A*	`conf`	Exploiting side information in locality preserving projection. CVPR Senjian An, Wanquan Liu, Svetha Venkatesh
2008	—	`conf`	Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data. NIPS Tran The Truyen, Dinh Q. Phung, Hung Bui, Svetha Venkatesh
2008	Misc	`conf`	Indoor Location Prediction Using Multiple Wireless Received Signal Strengths. AusDM Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2008	A*	`conf`	Joint learning and dictionary construction for pattern recognition. CVPR Duc-Son Pham, Svetha Venkatesh
2008	B	`conf`	Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition. PRICAI Tran The Truyen, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
2008	B	`conf`	Learning in imbalanced relational data. ICPR Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West
2008	B	`conf`	Model-based character recognition in low resolution. ICIP Annika Kuhl, Tele Tan, Svetha Venkatesh
2008	B	`conf`	Model-based combined tracking and resolution enhancement. ICPR Annika Kuhl, Tele Tan, Svetha Venkatesh
2008	C	`conf`	Passenger monitoring in moving bus video. ICARCV Wilson S. Leoputra, Svetha Venkatesh, Tele Tan
2008	C	`conf`	Pedestrian detection for mobile bus surveillance. ICARCV Wilson S. Leoputra, Svetha Venkatesh, Tele Tan
2008	A*	`conf`	Recognising faces in unseen modes: A tensor based approach. CVPR Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh
2008	J	`jnl`	Recognising online spatial activities using a bioinformatics inspired sequence alignment approach. Pattern Recognit. Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu
2008	B	`conf`	Ridge Regression for Two Dimensional Locality Preserving Projection. ICPR Nam Thanh Nguyen, Wanquan Liu, Svetha Venkatesh
2008	A*	`conf`	Robust learning of discriminative projection for multicategory classification on the Stiefel manifold. CVPR Duc-Son Pham, Svetha Venkatesh
2008	J	`jnl`	Sensing and using social context. ACM Trans. Multim. Comput. Commun. Appl. Brett Adams, Dinh Q. Phung, Svetha Venkatesh
2008	A	`conf`	Temporal semantic compression for video browsing. IUI Brett Adams, Stewart Greenhill, Svetha Venkatesh
2008	A*	`conf`	The Hidden Permutation Model and Location-Based Activity Recognition. AAAI Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh, Hai Phan
2008	J	`jnl`	Using dynamic time warping for online temporal fusion in multisensor systems. Inf. Fusion Ming Hsiao Ko, Geoff A. W. West, Svetha Venkatesh, Mohan Kumar
2007	—	`conf`	Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering. PCM Senjian An, Wanquan Liu, Svetha Venkatesh
2007	—	`conf`	Calibration of Audio-Video Sensors for Multi-Modal Event Indexing. ICASSP (2) Thorsten Kühnapfel, Tele Tan, Svetha Venkatesh, Eric A. Lehmann
2007	A*	`conf`	Distributed query processing for mobile surveillance. ACM Multimedia Stewart Greenhill, Svetha Venkatesh
2007	A	`conf`	Dynamic Privacy in a Smart House Environment. ICME Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2007	A*	`conf`	Face Recognition Using Kernel Ridge Regression. CVPR Senjian An, Wanquan Liu, Svetha Venkatesh
2007	A*	`conf`	Face Recognition via the Overlapping Energy Histogram. IJCAI Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh
2007	J	`jnl`	Face recognition based on ordinal correlation. Int. J. Intell. Syst. Technol. Appl. Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh
2007	J	`jnl`	Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression. Pattern Recognit. Senjian An, Wanquan Liu, Svetha Venkatesh
2007	J	`jnl`	Film audio pace. Int. J. Intell. Syst. Technol. Appl. Simon Moncrieff, Svetha Venkatesh
2007	—	`conf`	Generating comprehensible summaries of rushes sequences based on robust feature matching. TVS Ba Tu Truong, Svetha Venkatesh
2007	—	`conf`	Infrequent Item Mining in Multiple Data Streams. ICDM Workshops Budhaditya Saha, Mihai M. Lazarescu, Svetha Venkatesh
2007	—	`conf`	Linking Identities and Viewpoints in Home Movies Based on Robust Feature Matching. MMM (1) Ba Tu Truong, Svetha Venkatesh
2007	J	`jnl`	Multi-modal emotive computing in a smart house environment. Pervasive Mob. Comput. Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West, Stewart Greenhill
2007	J	`jnl`	Online audio background determination for complex audio environments. ACM Trans. Multim. Comput. Commun. Appl. Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2007	Misc	`conf`	Preference Networks: Probabilistic Models for Recommendation Systems. AusDM Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
2007	A*	`conf`	Privacy and the access of information in a smart house environment. ACM Multimedia Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2007	—	`conf`	Random Subspace Two-Dimensional PCA for Face Recognition. PCM Nam Nguyen, Wanquan Liu, Svetha Venkatesh
2007	J	`jnl`	Recognition of emergent human behaviour in a smart home: A data mining approach. Pervasive Mob. Comput. Sebastian Lühr, Geoff A. W. West, Svetha Venkatesh
2007	A*	`conf`	Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis. CVPR Patrick Peursum, Svetha Venkatesh, Geoff A. W. West
2007	—	`conf`	Utility-Based Summarization of Home Videos. MMM (1) Ba Tu Truong, Svetha Venkatesh
2007	J	`jnl`	Video abstraction: A systematic review and classification. ACM Trans. Multim. Comput. Commun. Appl. Ba Tu Truong, Svetha Venkatesh
2006	J	`jnl`	A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers. Neural Process. Lett. Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny Tjahyadi
2006	B	`conf`	A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition. AVSS Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu
2006	J	`jnl`	A chemotactic-based model for spatial activity recognition. Int. J. Syst. Sci. Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu
2006	—	`conf`	AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition. CVPR (2) Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2006	A	`conf`	An Embedded Suggestive Interface for Making Home Videos. ICME Brett Adams, Svetha Venkatesh
2006	A*	`conf`	Browsing personal media archives with spatial context using panoramas. ACM Multimedia Brett Adams, Stewart Greenhill, Svetha Venkatesh
2006	—	`conf`	Curtin at TRECVID 2006 Rushes Summarization. TRECVID Ba Tu Truong, Svetha Venkatesh
2006	—	`conf`	Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation. ICPR (3) Senjian An, Wanquan Liu, Svetha Venkatesh
2006	A*	`conf`	Extraction of social context and application to personal multimedia exploration. ACM Multimedia Brett Adams, Dinh Q. Phung, Svetha Venkatesh
2006	—	`conf`	Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model. ICPR (3) Thi V. Duong, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
2006	B	`conf`	Narrative structure detection through audio pace. MMM Simon Moncrieff, Svetha Venkatesh
2006	—	`conf`	Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects. ICPR (4) Patrick Peursum, Svetha Venkatesh, Geoff A. W. West
2006	A	`conf`	Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association. BMVC Nam Thanh Nguyen, Svetha Venkatesh, Hung Bui
2006	—	`conf`	Unifying Background Models over Complex Audio using Entropy. ICPR (4) Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2006	A*	`conf`	Virtual observers in a mobile surveillance system. ACM Multimedia Stewart Greenhill, Svetha Venkatesh
2005	—	`conf`	A Probabilistic Approach to the Anxious Home for Activity Monitoring. COMPSAC (1) Geoff A. W. West, Stewart Greenhill, Svetha Venkatesh
2005	J	`jnl`	A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures. Multim. Tools Appl. Brett Adams, Svetha Venkatesh, Hung Hai Bui, Chitra Dorai
2005	—	`conf`	Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model. CVPR (1) Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
2005	A*	`conf`	Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views. ICCV Patrick Peursum, Geoff A. W. West, Svetha Venkatesh
2005	A	`conf`	Discovery of Activity Structures using the Hierarchical Hidden Markov Model. BMVC Nam Nguyen, Svetha Venkatesh
2005	A*	`conf`	Dynamic shot suggestion filtering for home video based on user performance. ACM Multimedia Brett Adams, Svetha Venkatesh
2005	J	`jnl`	Extraction of Film Takes for Cinematic Analysis. Multim. Tools Appl. Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2005	C	`conf`	Fast cross-validation of kernel Fisher discriminant classifiers. ICMLA Senjian An, Wanquan Liu, Svetha Venkatesh
2005	A	`conf`	Finding the Optimal Temporal Partitioning of Video Sequences. ICME Ba Tu Truong, Svetha Venkatesh
2005	J	`jnl`	IMCE: Integrated media creation environment. ACM Trans. Multim. Comput. Commun. Appl. Brett Adams, Svetha Venkatesh, Ramesh C. Jain
2005	A	`conf`	Injection, detection and repair of aesthetics in home movies. ICME Brett Adams, Svetha Venkatesh
2005	—	`conf`	Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models. CVPR (2) Nam Thanh Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Bui
2005	A	`conf`	Persistent audio modelling for background determination. ICME Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West
2005	J	`jnl`	Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations. EURASIP J. Adv. Signal Process. Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2005	A*	`conf`	Situated event bootstrapping and capture guidance for automated home movie authoring. ACM Multimedia Brett Adams, Svetha Venkatesh
2005	A*	`conf`	Topic transition detection using hierarchical hidden Markov and semi-Markov models. ACM Multimedia Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hung Hai Bui
2004	B	`conf`	Adaptive Model for Foreground Extraction in Adverse Lighting Conditions. PRICAI Stewart Greenhill, Svetha Venkatesh, Geoff A. W. West
2004	—	`conf`	An Immunological Approach to Raising Alarms in Video Surveillance. PCM (3) Lukman Sasmita, Wanquan Liu, Svetha Venkatesh
2004	J	`jnl`	Authoring Multimedia Authoring Tools. IEEE Multim. Frank Nack, Brett Adams, Svetha Venkatesh
2004	—	`conf`	Automatic Labeling of Sports Video Using Umpire Gesture Recognition. SSPR/SPR Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West
2004	B	`conf`	Automatically learning structural units in educational videos with the hierarchical hidden markov models. ICIP Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2004	A*	`conf`	Between context-aware media capture and multimedia content analysis: where do we find the promised land? ACM Multimedia Susanne Boll, Dick C. A. Bulterman, Ramesh C. Jain, Tat-Seng Chua, Rainer Lienhart, Lynn Wilcox, Marc Davis, Svetha Venkatesh
2004	B	`conf`	Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton. PRICAI Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2004	—	`conf`	Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models. SSPR/SPR Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
2004	A*	`conf`	Director in your pocket: holistic help for the hapless home videographer. ACM Multimedia Brett Adams, Svetha Venkatesh
2004	B	`conf`	Discovering Semantics from Visualizations of Film Takes. MMM Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2004	B	`conf`	Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity. PRICAI Sebastian Lühr, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	J	`jnl`	Formation of a geometric pattern with a mobile wireless sensor network. J. Field Robotics Justin Lee, Svetha Venkatesh, Mohan Kumar
2004	—	`conf`	Human Action Segmentation via Controlled Use of Missing Data in HMMs. ICPR (4) Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2004	A	`conf`	IMCE: integrated media creation environment. ICME Brett Adams, Svetha Venkatesh, Ramesh C. Jain
2004	A*	`conf`	Learning Hierarchical Hidden Markov Models with General State Hierarchy. AAAI Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
2004	—	`conf`	Learning People Movement Model from Multiple Cameras for Behaviour Recognition. SSPR/SPR Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	B	`conf`	Segmentation of Intentional Human Gestures for Sports Video Annotation. MMM Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	B	`conf`	Taming the roving camera: A framework for creating professional home movies through narrative and cinesthetic elements. MMM Brett Adams, Svetha Venkatesh
2004	J	`jnl`	Using Interaction Signatures to Find and Label Chairs and Floors. IEEE Pervasive Comput. Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	J	`jnl`	Using multiple windows to track concept drift. Intell. Data Anal. Mihai M. Lazarescu, Svetha Venkatesh, Hung Hai Bui
2003	J	`jnl`	Guest Editors' Introduction: Bridging the Semantic Gap with Computational Media Aesthetics. IEEE Multim. Chitra Dorai, Svetha Venkatesh
2003	A*	`conf`	Hierarchical topical segmentation in instructional films based on cinematic expressive functions. ACM Multimedia Dinh Q. Phung, Svetha Venkatesh, Chitra Dorai
2003	A	`conf`	Horror film genre typing and scene labeling via audio analysis. ICME Simon Moncrieff, Svetha Venkatesh, Chitra Dorai
2003	A	`conf`	Identifying film takes for cinematic analysis. ICME Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2003	A	`conf`	Indexing narrative structure and semantics in motion pictures with a probabilistic framework. ICME Brett Adams, Chitra Dorai, Svetha Venkatesh, Hung Hai Bui
2003	J	`jnl`	Low-cost interactive active range finder. Mach. Vis. Appl. Masahiro Takatsuka, Geoff A. W. West, Svetha Venkatesh, Terry M. Caelli
2003	A*	`conf`	Object Labelling from Human Action Recognition. PerCom Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2003	A	`conf`	On the extraction of thematic and dramatic functions of content in educational videos. ICME Dinh Quoc Phung, Svetha Venkatesh, Chitra Dorai
2003	—	`conf`	Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments. CVPR (2) Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2003	A*	`conf`	Recognition of Human Activity through Hierarchical Stochastic Learning. PerCom Sebastian Lühr, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2003	J	`jnl`	Resource-aware Speculative Prefetching in Wireless Networks. Wirel. Networks Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh
2003	J	`jnl`	Scene extraction in motion pictures. IEEE Trans. Circuits Syst. Video Technol. Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2003	A	`conf`	Using camera motion to identify types of American football plays. ICME Mihai M. Lazarescu, Svetha Venkatesh
2003	A*	`conf`	Weaving stories in digital media: when Spielberg makes home movies. ACM Multimedia Brett Adams, Svetha Venkatesh
2002	—	`conf`	A Generalised Cost-Aware Caching Scheme for Caching Continuous Media Objects in Best-Effort Network Environments. IWDC W. H. O. Lau, Mohan Kumar, Svetha Venkatesh
2002	C	`conf`	A cooperative cache architecture in support of caching multimedia objects in MANETs. WOWMOM W. H. O. Lau, Mohan Kumar, Svetha Venkatesh
2002	—	`conf`	An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression. SSPR/SPR Mihai M. Lazarescu, Andrew Turpin, Svetha Venkatesh
2002	J	`jnl`	An application of "agent-oriented" techniques to symbolic matching and object recognition. Pattern Recognit. Lett. Masahiro Takatsuka, Terry Caelli, Geoff A. W. West, Svetha Venkatesh
2002	A*	`conf`	Application of computational media aesthetics methodology to extracting color semantics in film. ACM Multimedia Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2002	—	`conf`	Comparing Shape and Temporal PDMs. SSPR/SPR Ezra Tassone, Geoff A. W. West, Svetha Venkatesh
2002	—	`conf`	Film grammar based refinements to extracting scenes in motion pictures. ICME (1) Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2002	J	`jnl`	Finding the Beat: An Analysis of the Rhythmic Elements of Motion Pictures. Int. J. Image Graph. Brett Adams, Chitra Dorai, Svetha Venkatesh
2002	—	`conf`	Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras. ICPR (1) Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2002	—	`conf`	Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation. ICPR (2) Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2002	A*	`conf`	High level segmentation of instructional videos based on content density. ACM Multimedia Dinh Q. Phung, Svetha Venkatesh, Chitra Dorai
2002	—	`conf`	Narrative Structure Analysis with Education and Training Videos for E-Learning. ICPR (2) Dinh Quoc Phung, Chitra Dorai, Svetha Venkatesh
2002	—	`conf`	Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction. ICPR (2) Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2002	—	`conf`	On the automatic indexing of cricket using camera motion parameters. ICME (1) Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West
2002	J	`jnl`	Performance Optimization Problem in Speculative Prefetching. IEEE Trans. Parallel Distributed Syst. Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh, Sajal K. Das
2002	J	`jnl`	Policy Recognition in the Abstract Hidden Markov Model. J. Artif. Intell. Res. Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2002	—	`conf`	Temporal PDMs for Gait Classification. ICPR (2) Ezra Tassone, Geoff A. W. West, Svetha Venkatesh
2002	J	`jnl`	Toward automatic extraction of expressive elements from motion pictures: tempo. IEEE Trans. Multim. Bill Adams, Chitra Dorai, Svetha Venkatesh
2001	A	`conf`	A Cache-Based Mobility-Aware Scheme For Real-Time Continuous Media Delivery In Wireless Networks. ICME W. H. O. Lau, Mohan Kumar, Svetha Venkatesh
2001	—	`conf`	A Flexible Receiver-Driven Cache Replacement Scheme for Continuous Media Objects in Best-Effort Networks. HICSS W. H. O. Lau, Mohan Kumar, Svetha Venkatesh
2001	A*	`conf`	Affect computing in film through sound energy dynamics. ACM Multimedia Simon Moncrieff, Chitra Dorai, Svetha Venkatesh
2001	—	`conf`	Analysis of Environmental Sounds as Indexical Signs in Film. IEEE Pacific Rim Conference on Multimedia Simon Moncrieff, Chitra Dorai, Svetha Venkatesh
2001	A	`conf`	Automated Film Rhythm Extraction For Scene Analysis. ICME Brett Adams, Chitra Dorai, Svetha Venkatesh
2001	J	`jnl`	Combining multiple tracking algorithms for improved general performance. Pattern Recognit. Kim Shearer, Kirrily D. Wong, Svetha Venkatesh
2001	J	`jnl`	Computational Media Aesthetics: Finding Meaning Beautiful. IEEE Multim. Chitra Dorai, Svetha Venkatesh
2001	A	`conf`	Detecting Indexical Signs In Film Audio For Scene Interpretation. ICME Simon Moncrieff, Chitra Dorai, Svetha Venkatesh
2001	A	`conf`	Determining Dramatic Intensification via Flashing Lights in Movies. ICME Ba Tu Truong, Svetha Venkatesh
2001	A	`conf`	Effect of Speculative Prefetching on Network Load in Distributed Systems. IPDPS Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh
2001	J	`jnl`	Obtaining functional parametric models using active vision strategies. Pattern Recognit. Chiou Peng Lam, Geoff A. W. West, Svetha Venkatesh
2001	J	`jnl`	Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model. Int. J. Pattern Recognit. Artif. Intell. Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2001	J	`jnl`	Video indexing and similarity retrieval by largest common subgraph detection using decision trees. Pattern Recognit. Kim Shearer, Horst Bunke, Svetha Venkatesh
2001	J	`jnl`	Video sequence matching via decision tree path following. Pattern Recognit. Lett. Kim Shearer, Svetha Venkatesh, Horst Bunke
2000	B	`conf`	A Probabilistic Framework for Tracking in Wide-Area Environments. ICPR Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2000	B	`conf`	Automatic Genre Identification for Content-Based Video Categorization. ICPR Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
2000	B	`conf`	Determining Motion Components Using the Point Distribution Model. ICMI Ezra Tassone, Geoff A. W. West, Svetha Venkatesh
2000	—	`conf`	Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques. SSPR/SPR Mihai M. Lazarescu, Horst Bunke, Svetha Venkatesh
2000	J	`jnl`	How honeybees make grazing landings on flat surfaces. Biol. Cybern. Mandyam V. Srinivasan, Shaowu Zhang, Javaan S. Chahl, Erhardt Barth, Svetha Venkatesh
2000	B	`conf`	Improved Fade and Dissolve Detection for Reliable Video Segmentation. ICIP Ba Tu Truong, Chitra Dorai, Svetha Venkatesh
2000	—	`conf`	Incorporating Domain Knowledge with Video and Voice Data Analysis in News Broadcasts. MDM/KDD Kim Shearer, Chitra Dorai, Svetha Venkatesh
2000	A*	`conf`	New enhancements to cut, fade, and dissolve detection processes in video segmentation. ACM Multimedia Ba Tu Truong, Chitra Dorai, Svetha Venkatesh
2000	B	`conf`	Novel Approach to Determining Tempo and Dramatic Story Sections in Motion Pictures. ICIP Brett Adams, Chitra Dorai, Svetha Venkatesh
2000	B	`conf`	On the Incremental Learning and Recognition of the Pattern of Movement of Multiple Labeled Objects in Dynamic Scenes. ICPR Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West
2000	—	`conf`	On the Recognition of Abstract Markov Policies. AAAI/IAAI Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2000	C	`conf`	Performance modelling of speculative prefetching for compound requests in low bandwidth networks. WOWMOM Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh
2000	J	`jnl`	Semantic data modelling and visualisation using Noetica. Data Knowl. Eng. Stewart Greenhill, Svetha Venkatesh
2000	A*	`conf`	Study of shot length and motion as contributing factors to movie tempo (poster session). ACM Multimedia Brett Adams, Chitra Dorai, Svetha Venkatesh
2000	A	`conf`	Towards Automatic Extraction of Expressive Elements from Motion Pictures: Tempo. IEEE International Conference on Multimedia and Expo (II) Brett Adams, Chitra Dorai, Svetha Venkatesh
1999	—	`conf`	A Performance Model of Speculative Prefetching in Distributed Information Systems. IPPS/SPDP Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh
1999	B	`conf`	An empirical study of neighbourhood decay in Kohonen's self organising map. IJCNN Russell Keith-Magee, Svetha Venkatesh, Masahiro Takatsuka
1999	—	`conf`	Classifying and Learning Cricket Shots Using Camera Motion. Australian Joint Conference on Artificial Intelligence Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West
1999	J	`jnl`	Constructing and navigating personalised views of the Web. Inf. Process. Manag. Stewart Greenhill, Svetha Venkatesh
1999	—	`conf`	Detection of Setting and Subject Information in Documentary Video. ICMCS, Vol. 1 Kim Shearer, Svetha Venkatesh
1999	—	`conf`	From Insects to Robots. ISER Mandyam V. Srinivasan, Javaan S. Chahl, Keven Weber, Svetha Venkatesh, Shaowu Zhang, Martin G. Nagle
1999	J	`jnl`	Information access and QoS issues in a mobile computing environment. J. Netw. Comput. Appl. Mohan Kumar, Svetha Venkatesh, Kok Yong Lim, H. Santoso
1999	J	`jnl`	Insect-Inspired Robotic Homing. Adapt. Behav. Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan
1999	J	`jnl`	Layered dynamic probabilistic networks for spatio-temporal modelling. Intell. Data Anal. Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
1999	J	`jnl`	Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier. Int. J. Cooperative Inf. Syst. Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska
1999	A*	`conf`	Low-Cost Interactive Active Monocular Range Finder. CVPR Masahiro Takatsuka, Geoff A. W. West, Svetha Venkatesh, Terry Caelli
1999	—	`conf`	On the Automated Interpretation and Indexing of American Football. ICMCS, Vol. 1 Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West, Terry Caelli
1999	J	`jnl`	Robot navigation inspired by principles of insect vision. Robotics Auton. Syst. Mandyam V. Srinivasan, Javaan S. Chahl, Keven Weber, Svetha Venkatesh, Martin G. Nagle, Shaowu Zhang
1999	A	`conf`	Symbolic Representation and Distributed Matching Strategies for Schematics. ICDAR Masahiro Takatsuka, Terry Caelli, Geoff A. W. West, Svetha Venkatesh
1998	B	`conf`	An efficient least common subgraph algorithm for video indexing. ICPR Kim Shearer, Svetha Venkatesh, Horst Bunke
1998	B	`conf`	An insect-based approach to robotic homing. ICPR Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan
1998	B	`conf`	Classifying and detecting group behaviour from visual surveillance data. ICPR Robin Hosie, Svetha Venkatesh, Geoff A. W. West
1998	B	`conf`	Combining NL processing and video data to query American Football. ICPR Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West, Terry Caelli
1998	J	`jnl`	Extracting Common Subtrees from Decision Trees. Int. J. Pattern Recognit. Artif. Intell. Mihai M. Lazarescu, Terry Caelli, Svetha Venkatesh
1998	B	`ed.`	Fourteenth International Conference on Pattern Recognition, ICPR 1998, Brisbane, Australia, 16-20 August, 1998 ICPR Anil K. Jain, Svetha Venkatesh, Brian C. Lovell
1998	C	`conf`	Investigation of a Prefetch Model for Low Bandwidth Networks. WOWMOM Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh
1998	J	`jnl`	Noetica: A Tool for Semantic Data Modelling. Inf. Process. Manag. Stewart Greenhill, Svetha Venkatesh
1998	J	`jnl`	Stabilising The Camera-To-Fixation Point Distance In Active Vision. Pattern Recognit. Chiou Peng Lam, Geoff A. W. West, Svetha Venkatesh
1997	—	`conf`	A Framework for Coordination and Learning among Teams of Agents. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska
1997	J	`jnl`	Conceptual Representation for Multimedia Information. Int. J. Pattern Recognit. Artif. Intell. Roger W. Smith, Dorota H. Kieronska, Svetha Venkatesh
1997	J	`jnl`	Hypothesis Verification Using Parametric Models and Active Vision Strategies. Comput. Vis. Image Underst. Chiou Peng Lam, Svetha Venkatesh, Geoff A. W. West
1997	—	`conf`	Optimal Communication Among Team Members. Australian Joint Conference on Artificial Intelligence Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh
1997	J	`jnl`	Qualitative estimation of camera motion parameters from video sequences. Pattern Recognit. Mandyam V. Srinivasan, Svetha Venkatesh, Robin Hosie
1997	J	`jnl`	Resequencing of Video using Spatial Indexing. J. Vis. Lang. Comput. Kim Shearer, Dorota H. Kieronska, Svetha Venkatesh
1997	J	`jnl`	Resolution consideration in spatially variant sensors. Image Vis. Comput. Fee-Lee Lim, Svetha Venkatesh, Geoff A. W. West
1997	J	`jnl`	The Visitors Guide: A Simple Video Reuse Application. Int. J. Pattern Recognit. Artif. Intell. Kim Shearer, Svetha Venkatesh, Dorota H. Kieronska
1996	Misc	`conf`	A distributed directory scheme for information access in mobile computers. HiPC Mohan Kumar, Svetha Venkatesh, Sethuraman Panchanathan
1996	—	`conf`	Human saccadic eye movements and tracking by active foveation in log polar space. Human Vision and Electronic Imaging Fee-Lee Lim, Svetha Venkatesh, Geoff A. W. West
1996	B	`conf`	Insect inspired behaviours for the autonomous control of mobile robots. ICPR Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan
1996	—	`conf`	Learning other Agents' Preferences in Multiagent Negotiation. AAAI/IAAI, Vol. 1 Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh
1996	—	`conf`	Media-Independent Information Representation and Retrieval. Storage and Retrieval for Image and Video Databases (SPIE) Dorota H. Kieronska, Svetha Venkatesh
1996	—	`conf`	Media-Independent Knowledge Representation via UMART: Unified Mental Annotation and Retrieval Tool. Storage and Retrieval for Image and Video Databases (SPIE) Roger W. Smith, Dorota H. Kieronska, Svetha Venkatesh
1996	B	`conf`	Resolution consideration in spatially variant sensors. ICPR Fee-Lee Lim, Svetha Venkatesh, Geoff A. W. West
1996	J	`jnl`	Spatial Indexing for Video Databases. J. Vis. Commun. Image Represent. Kim Shearer, Svetha Venkatesh, Dorota H. Kieronska
1996	B	`conf`	Tracking in a space variant active vision system. ICPR Fee-Lee Lim, Geoff A. W. West, Svetha Venkatesh
1995	J	`jnl`	An Investigation into the Use of Physical Modeling for the Prediction of Various Feature Types Visible from Different Viewpoints. Comput. Vis. Image Underst. Michael C. Robey, Geoff A. W. West, Svetha Venkatesh
1995	J	`jnl`	Dynamic Threshold Determination by Local and Global Edge Evaluation. CVGIP Graph. Model. Image Process. Svetha Venkatesh, Paul L. Rosin
1995	J	`jnl`	Hierarchical Directory-Based Shared Memory Architecture. Comput. J. Mohan Kumar, Svetha Venkatesh, Dorota H. Kieronska, Lalit M. Patnaik
1995	J	`jnl`	Local energy and pre-envelope. Pattern Recognit. Svetha Venkatesh, James W. Cooper, Brian White
1995	J	`jnl`	Spatial reasoning via active observation. Appl. Artif. Intell. Svetha Venkatesh, Dorota H. Kieronska, Stewart Smith
1994	A*	`conf`	Emerging hypothesis verification using function-based geometric models and active vision strategies. CVPR Chiou Peng Lam, Geoff A. W. West, Svetha Venkatesh
1994	J	`jnl`	Modeling Edges at Subpixel Accuracy Using the Local Energy Approach. IEEE Trans. Pattern Anal. Mach. Intell. Marsudi Kisworo, Svetha Venkatesh, Geoff A. W. West
1993	J	`jnl`	Early Jump-Out Corner Detectors. IEEE Trans. Pattern Anal. Mach. Intell. James W. Cooper, Svetha Venkatesh, Leslie J. Kitchen
1993	J	`jnl`	Extracting natural scales using fourier descriptors. Pattern Recognit. Paul L. Rosin, Svetha Venkatesh
1993	—	`conf`	Hierarchic Representation for Spatial Knowledge. EUROCAST Dorota H. Kieronska, Svetha Venkatesh
1992	J	`jnl`	Edge evaluation using necessary components. CVGIP Graph. Model. Image Process. Svetha Venkatesh, Leslie John Kitchen
1992	—	`conf`	Local energy, the pre-envelope, and filter resolution. ICPR (3) Svetha Venkatesh, James W. Cooper, Brian White
1991	—	`conf`	A Unified Formalism for Landmark-Based Representation of Maps and Navigation Plans. Fuzzy Logic and Fuzzy Control Svetha Venkatesh, Dorota H. Kieronska
1991	A*	`conf`	Early jump-out corner detectors. CVPR James W. Cooper, Svetha Venkatesh, Leslie J. Kitchen
1990	J	`jnl`	On the classification of image features. Pattern Recognit. Lett. Svetha Venkatesh, Robyn A. Owens
1989	J	`jnl`	Edge detection is a projection. Pattern Recognit. Lett. Robyn A. Owens, Svetha Venkatesh, John Ross