Joydeep Ghosh - RankMe

369 papers A* 39A 32B 14C 20Misc 10Journal 150Unranked 100

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	LLM Reasoning for Cold-Start Item Recommendation. WWW Shijun Li, Yu Wang, Jin Wang, Ying Li, Joydeep Ghosh, Anne Cocos
2025	J	`jnl`	A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health. CoRR Song Wang, Yishu Wei, Haotian Ma, Max Lovitt, Kelly Deng, Yuan Meng, Zihan Xu, Jingze Zhang, Yunyu Xiao, Ying Ding, Xuhai Xu, Joydeep Ghosh, Yifan Peng
2025	J	`jnl`	Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning. CoRR Hsing-Huan Chung, Shravan Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh
2025	J	`jnl`	Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning. Trans. Mach. Learn. Res. Hsing-Huan Chung, Shravan Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh
2025	J	`jnl`	Guiding Mixture-of-Experts with Temporal Multimodal Interactions. CoRR Xing Han, Hsing-Huan Chung, Joydeep Ghosh, Paul Pu Liang, Suchi Saria
2025	J	`jnl`	LLM Reasoning for Cold-Start Item Recommendation. CoRR Shijun Li, Yu Wang, Jin Wang, Ying Li, Joydeep Ghosh, Anne Cocos
2025	J	`jnl`	OMAC: A Broad Optimization Framework for LLM-Based Multi-Agent Collaboration. CoRR Shijun Li, Hilaf Hasson, Joydeep Ghosh
2024	A*	`conf`	A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings. NeurIPS Disha Makhija, Joydeep Ghosh, Nhat Ho
2024	J	`jnl`	Achieving Fairness Across Local and Global Models in Federated Learning. CoRR Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim
2024	—	`conf`	Exploring Explainability in Video Action Recognition. XAI4CV Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine, Joydeep Ghosh
2024	J	`jnl`	Exploring Explainability in Video Action Recognition. CoRR Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine, Joydeep Ghosh
2024	—	`conf`	FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. AIAI (4) Shubham Sharma, Alan H. Gee, Jette Henderson, Joydeep Ghosh
2024	J	`jnl`	Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR Disha Makhija, Joydeep Ghosh, Yejin Kim
2024	J	`jnl`	Goal-Conditioned Supervised Learning for Multi-Objective Recommendation. CoRR Shijun Li, Hilaf Hasson, Jing Hu, Joydeep Ghosh
2024	—	`conf`	Novel Node Category Detection Under Subpopulation Shift. ECML/PKDD (4) Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh
2024	J	`jnl`	Novel Node Category Detection Under Subpopulation Shift. CoRR Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh
2024	A*	`conf`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. NeurIPS Vijay Lingam, Atula Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi
2024	J	`jnl`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
2024	J	`jnl`	Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. CoRR Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng
2023	B	`conf`	A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data. IJCNN Xing Han, Jing Hu, Joydeep Ghosh
2023	A*	`conf`	Designing Robust Transformers using Robust Kernel Density Estimation. NeurIPS Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho
2023	A*	`conf`	FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. IJCAI Shubham Sharma, Jette Henderson, Joydeep Ghosh
2023	—	`conf`	Incremental Unsupervised Domain Adaptation on Evolving Graphs. CoLLAs Hsing-Huan Chung, Joydeep Ghosh
2023	J	`jnl`	Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. CoRR Disha Makhija, Joydeep Ghosh, Nhat Ho
2022	A*	`conf`	Architecture Agnostic Federated Learning for Neural Networks. ICML Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh
2022	J	`jnl`	Architecture Agnostic Federated Learning for Neural Networks. CoRR Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh
2022	—	`conf`	Dynamic Combination of Heterogeneous Models for Hierarchical Time Series. ICDM (Workshops) Xing Han, Jing Hu, Joydeep Ghosh
2022	J	`jnl`	Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering. CoRR Xing Han, Tongzheng Ren, Jing Hu, Joydeep Ghosh, Nhat Ho
2022	J	`jnl`	FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. CoRR Shubham Sharma, Alan H. Gee, Jette Henderson, Joydeep Ghosh
2022	J	`jnl`	FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. CoRR Shubham Sharma, Jette Henderson, Joydeep Ghosh
2022	J	`jnl`	Federated Self-supervised Learning for Heterogeneous Clients. CoRR Disha Makhija, Nhat Ho, Joydeep Ghosh
2022	—	`conf`	Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. WWW (Companion Volume) Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh
2022	—	`conf`	Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
2022	J	`jnl`	Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
2022	J	`jnl`	Robustify Transformers with Robust Kernel Density Estimation. CoRR Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho
2022	J	`jnl`	Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath
2022	J	`jnl`	Split Localized Conformal Prediction. CoRR Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu
2021	—	`conf`	Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021	J	`jnl`	Biomedical Interpretable Entity Representations. CoRR Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021	C	`conf`	FaiR-N: Fair and Robust Neural Networks for Structured Data. AIES Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh
2021	J	`jnl`	Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. CoRR Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh
2021	J	`jnl`	MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series. CoRR Xing Han, Jing Hu, Joydeep Ghosh
2021	B	`conf`	Model-Agnostic Explanations using Minimal Forcing Subsets. IJCNN Xing Han, Joydeep Ghosh
2021	A	`conf`	Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. AISTATS Xing Han, Sambarta Dasgupta, Joydeep Ghosh
2021	J	`jnl`	Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. CoRR Xing Han, Sambarta Dasgupta, Joydeep Ghosh
2020	J	`jnl`	Biased Models Have Biased Explanations. CoRR Aditya Jain, Manish Ravula, Joydeep Ghosh
2020	C	`conf`	CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models. AIES Shubham Sharma, Jette Henderson, Joydeep Ghosh
2020	A*	`conf`	Certifai: A Toolkit for Building Trust in AI Systems. IJCAI Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh
2020	B	`conf`	Detection and Visualization of Dense Subgroups at Multiple Resolutions in Large Social Networks. ASONAM Neil Gupta, Joydeep Ghosh, Gunjan Gupta, Sheshank Shankar, Alex Tarasar
2020	—	`conf`	Explainable machine learning in deployment. FAT* Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
2020	J	`jnl`	FaiR-N: Fair and Robust Neural Networks for Structured Data. CoRR Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh
2019	J	`jnl`	AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks. Int. J. Data Sci. Anal. Dean Teffer, Ravi Srinivasan, Joydeep Ghosh
2019	J	`jnl`	CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models. CoRR Shubham Sharma, Jette Henderson, Joydeep Ghosh
2019	A	`conf`	CP Tensor Decomposition with Cannot-Link Intermode Constraints. SDM Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho
2019	J	`jnl`	Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh
2019	J	`jnl`	Explainable Machine Learning in Deployment. CoRR Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
2019	—	`conf`	Explaining Deep Classification of Time-Series Data with Learned Prototypes. KDH@IJCAI Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar
2019	J	`jnl`	Explaining Deep Classification of Time-Series Data with Learned Prototypes. CoRR Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar
2019	A	`conf`	Interpreting Black Box Predictions using Fisher Kernels. AISTATS Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo
2019	A*	`conf`	Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. SIGIR Dany Haddad, Joydeep Ghosh
2019	J	`jnl`	Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. CoRR Dany Haddad, Joydeep Ghosh
2019	A*	`conf`	On Single Source Robustness in Deep Fusion Models. NeurIPS Taewan Kim, Joydeep Ghosh
2019	J	`jnl`	On Single Source Robustness in Deep Fusion Models. CoRR Taewan Kim, Joydeep Ghosh
2019	C	`conf`	Scaling Data Association for Hypothesis-Oriented MHT. FUSION Michael Motro, Joydeep Ghosh
2019	J	`jnl`	Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems. CoRR Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh
2019	J	`jnl`	Vehicular Multi-object Tracking with Persistent Detector Failures. CoRR Michael Motro, Joydeep Ghosh
2018	A*	`conf`	A Dual Markov Chain Topic Model for Dynamic Environments. KDD Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
2018	—	`conf`	Bayesian Online Changepoint Detection Of Physiological Transitions. EMBC Alan H. Gee, Joshua Chang, Joydeep Ghosh, David Paydarfar
2018	A	`conf`	Boosting Variational Inference: an Optimization Perspective. AISTATS Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch
2018	A	`conf`	Co-regularized Monotone Retargeting for Semi-supervised LeTOR. SDM Shalmali Joshi, Rajiv Khanna, Joydeep Ghosh
2018	C	`conf`	Fully Supervised Non-Negative Matrix Factorization for Feature Extraction. IGARSS Woody Austin, Dylan Anderson, Joydeep Ghosh
2018	J	`jnl`	Interpreting Black Box Predictions using Fisher Kernels. CoRR Rajiv Khanna, Been Kim, Joydeep Ghosh, Oluwasanmi Koyejo
2018	C	`conf`	Measurement-Wise Occlusion in Multi-Object Tracking. FUSION Michael Motro, Joydeep Ghosh
2018	J	`jnl`	Measurement-wise Occlusion in Multi-object Tracking. CoRR Michael Motro, Joydeep Ghosh
2018	C	`conf`	Non-parametric Discovery of Topics and Communities in Distributed and Streaming Environments. INISTA Dean Teffer, Joydeep Ghosh
2018	A	`conf`	Nonparametric Bayesian sparse graph linear dynamical systems. AISTATS Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou
2018	J	`jnl`	PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization. CoRR Jette Henderson, Bradley A. Malin, Joyce C. Ho, Joydeep Ghosh
2018	—	`conf`	Pedestrian Detection with Simplified Depth Prediction. ITSC Taewan Kim, Michael Motro, Patricia Lavieri, Saharsh Samir Oza, Joydeep Ghosh, Chandra Bhat
2018	Misc	`conf`	Phenotyping through Semi-Supervised Tensor Factorization (PSST). AMIA Jette Henderson, Huan He, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Joydeep Ghosh, Joyce C. Ho
2018	J	`jnl`	xGEMs: Generating Examplars to Explain Black-Box Models. CoRR Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh
2017	A	`conf`	A Deflation Method for Structured Probabilistic PCA. SDM Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2017	J	`jnl`	Active Learning with Multiple Localized Regression Models. INFORMS J. Comput. Meghana Deodhar, Joydeep Ghosh, Maytal Saar-Tsechansky, Vineet Keshari
2017	J	`jnl`	Boosting Variational Inference: an Optimization Perspective. CoRR Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch
2017	Misc	`conf`	Computational Phenotyping on Diverse Data Sources. AMIA Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh
2017	A	`conf`	Frequency Domain Predictive Modelling with Aggregated Data. AISTATS Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2017	—	`conf`	Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping. ICHI Jette Henderson, Joyce C. Ho, Abel N. Kho, Joshua C. Denny, Bradley A. Malin, Jimeng Sun, Joydeep Ghosh
2017	A	`conf`	Information Projection and Approximate Inference for Structured Sparse Variables. AISTATS Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2017	A*	`conf`	LETOR Methods for Unsupervised Rank Aggregation. WWW Avradeep Bhowmik, Joydeep Ghosh
2017	A*	`conf`	On Approximation Guarantees for Greedy Low Rank Optimization. ICML Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban
2017	J	`jnl`	Optimal Alarms for Vehicular Collision Detection. CoRR Michael Motro, Joydeep Ghosh, Chandra Bhat
2017	B	`conf`	Optimal alarms for vehicular collision detection. Intelligent Vehicles Symposium Michael Motro, Joydeep Ghosh, Chandra Bhat
2017	—	`conf`	PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature. CRI Jette Henderson, Ryan Bridges, Joyce C. Ho, Byron C. Wallace, Joydeep Ghosh
2017	J	`jnl`	Relaxed Oracles for Semi-Supervised Clustering. CoRR Taewan Kim, Joydeep Ghosh
2017	A	`conf`	Scalable Greedy Feature Selection via Weak Submodularity. AISTATS Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
2017	J	`jnl`	Scalable Greedy Feature Selection via Weak Submodularity. CoRR Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
2017	J	`jnl`	Semi-Supervised Active Clustering with Weak Oracles. CoRR Taewan Kim, Joydeep Ghosh
2017	—	`conf`	The obesity paradox in ICU patients. EMBC Janice Pan, Robert Shaffer, Zeina Sinno, Marcus Tyler, Joydeep Ghosh
2017	—	`conf`	gamAID: Greedy CP tensor decomposition for supervised EHR-based disease trajectory differentiation. EMBC Jette Henderson, Joyce C. Ho, Joydeep Ghosh
2016	—	`conf`	A distributed, collective intelligence framework for collision-free navigation through busy intersections. ITSC Rahi Kalantari, Michael Motro, Joydeep Ghosh, Chandra Bhat
2016	J	`jnl`	ACDC: $α$-Carving Decision Chain for Risk Stratification. CoRR Yubin Park, Joyce C. Ho, Joydeep Ghosh
2016	—	`conf`	Automated Verification of Phenotypes using PubMed. BCB Ryan Bridges, Jette Henderson, Joyce C. Ho, Byron C. Wallace, Joydeep Ghosh
2016	Misc	`conf`	Evaluating Differences Between MIMIC II and III Critical Care Databases. AMIA Matias I. Hurtado, Jette Henderson, Joydeep Ghosh
2016	J	`jnl`	Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators. Evol. Comput. Thiago F. Covoes, Eduardo Raul Hruschka, Joydeep Ghosh
2016	J	`jnl`	Generalized Linear Models for Aggregated Data. CoRR Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2016	J	`jnl`	Graphical RNN Models. CoRR Ashish Bora, Sugato Basu, Joydeep Ghosh
2016	—	`conf`	Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization. MLHC Shalmali Joshi, Suriya Gunasekar, David A. Sontag, Joydeep Ghosh
2016	J	`jnl`	Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization. CoRR Shalmali Joshi, Suriya Gunasekar, David A. Sontag, Joydeep Ghosh
2016	J	`jnl`	Information Projection and Approximate Inference for Structured Sparse Variables. CoRR Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2016	J	`jnl`	Monotone Retargeting for Unsupervised Rank Aggregation with Object Features. CoRR Avradeep Bhowmik, Joydeep Ghosh
2016	—	`conf`	Preference Completion from Partial Rankings. NIPS Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
2016	J	`jnl`	Preference Completion from Partial Rankings. CoRR Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
2016	—	`conf`	Robust detection of non-motorized road users using deep learning on optical and LIDAR data. ITSC Taewan Kim, Joydeep Ghosh
2016	J	`jnl`	Rényi divergence minimization based co-regularized multiview clustering. Mach. Learn. Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo
2016	A*	`conf`	Sparse Parameter Recovery from Aggregated Data. ICML Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2015	J	`jnl`	A differential evolution algorithm to optimise the combination of classifier and cluster ensembles. Int. J. Bio Inspired Comput. Luiz F. S. Coletta, Eduardo Raul Hruschka, Ayan Acharya, Joydeep Ghosh
2015	J	`jnl`	Building bridges across electronic health record systems through inferred phenotypic topics. J. Biomed. Informatics You Chen, Joydeep Ghosh, Cosmin Adrian Bejan, Carl A. Gunter, Siddharth Gupta, Abel N. Kho, David M. Liebovitz, Jimeng Sun, Joshua C. Denny, Bradley A. Malin
2015	—	`conf`	Evaluation of Spin Lifetime in Thin-Body FETs: A High Performance Computing Approach. LSSC Joydeep Ghosh, Dmitry Osintsev, Viktor Sverdlov, Josef Weinbub, Siegfried Selberherr
2015	J	`jnl`	Exponential Family Matrix Completion under Structural Constraints. CoRR Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh
2015	—	`conf`	Gamma Process Poisson Factorization for Joint Modeling of Network and Documents. ECML/PKDD (1) Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh
2015	A	`conf`	Generalized Linear Models for Aggregated Data. AISTATS Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
2015	A	`conf`	Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices. AISTATS Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
2015	A*	`conf`	Nonparametric Poisson Factorization Machine. ICDM Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh
2015	A	`conf`	Parameter Estimation of Generalized Linear Models without Assuming their Link Function. AISTATS Sreangsu Acharyya, Joydeep Ghosh
2015	—	`ch.`	Privacy-Preserving Data Publishing Methods in Healthcare. Healthcare Data Analytics Yubin Park, Joydeep Ghosh
2015	A*	`conf`	Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. KDD Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun
2015	—	`conf`	Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes. ICHI Shalmali Joshi, Oluwasanmi Koyejo, Kristine Resurreccion, Joydeep Ghosh
2015	—	`conf`	Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data. ICHI Shalmali Joshi, Oluwasanmi Koyejo, Joydeep Ghosh
2015	A	`conf`	Sparse Submodular Probabilistic PCA. AISTATS Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
2015	—	`conf`	Unified View of Matrix Completion under General Structural Constraints. NIPS Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh
2015	J	`jnl`	Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integr. Comput. Aided Eng. Luiz F. S. Coletta, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh
2014	J	`jnl`	A Constrained Matrix-Variate Gaussian Process for Transposable Data. CoRR Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2014	—	`conf`	A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits. Brain Informatics and Health Yubin Park, Joydeep Ghosh
2014	J	`jnl`	A constrained matrix-variate Gaussian process for transposable data. Mach. Learn. Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2014	A	`conf`	Active Multitask Learning Using Both Latent and Supervised Shared Topics. SDM Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh
2014	J	`jnl`	An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning. ACM Trans. Knowl. Discov. Data Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2014	J	`jnl`	EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation. CoRR Duo Ding, Bei Yu, Joydeep Ghosh, David Z. Pan
2014	J	`jnl`	Ensembles of (α)-Trees for Imbalanced Classification Problems. IEEE Trans. Knowl. Data Eng. Yubin Park, Joydeep Ghosh
2014	A*	`conf`	Exponential Family Matrix Completion under Structural Constraints. ICML Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh
2014	—	`conf`	Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization. Brain Informatics and Health Joyce C. Ho, Joydeep Ghosh, Jimeng Sun
2014	J	`jnl`	Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features. IEEE Trans. Inf. Forensics Secur. Suriya Gunasekar, Joydeep Ghosh, Alan C. Bovik
2014	—	`conf`	Face detection on distorted images using perceptual quality-aware features. Human Vision and Electronic Imaging Suriya Gunasekar, Joydeep Ghosh, Alan C. Bovik
2014	—	`conf`	Graph databases for large-scale healthcare systems: A framework for efficient data management and data services. ICDE Workshops Yubin Park, Mallikarjun Shankar, Byung-Hoon Park, Joydeep Ghosh
2014	A	`conf`	LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series. AISTATS Yubin Park, Carlos Carvalho, Joydeep Ghosh
2014	A*	`conf`	LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data. KDD Yubin Park, Joydeep Ghosh
2014	J	`jnl`	Limestone: High-throughput candidate phenotype generation via tensor factorization. J. Biomed. Informatics Joyce C. Ho, Joydeep Ghosh, Steven R. Steinhubl, Walter F. Stewart, Joshua C. Denny, Bradley A. Malin, Jimeng Sun
2014	A	`conf`	MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. UAI Sreangsu Acharyya, Joydeep Ghosh
2014	A*	`conf`	Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. KDD Joyce C. Ho, Joydeep Ghosh, Jimeng Sun
2014	—	`conf`	On Prior Distributions and Approximate Inference for Structured Variables. NIPS Oluwasanmi Koyejo, Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack
2014	J	`jnl`	PeGS: Perturbed Gibbs Samplers that Generate Privacy-Compliant Synthetic Data. Trans. Data Priv. Yubin Park, Joydeep Ghosh
2014	J	`jnl`	Septic Shock Prediction for Patients with Missing Data. ACM Trans. Manag. Inf. Syst. Joyce C. Ho, Cheng H. Lee, Joydeep Ghosh
2013	J	`jnl`	A study of K-Means-based algorithms for constrained clustering. Intell. Data Anal. Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh
2013	A	`conf`	Bayesian Structure Learning for Functional Neuroimaging. AISTATS Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh, Russell A. Poldrack, Jonathan W. Pillow
2013	—	`conf`	Blind image quality assessment without training on human opinion scores. Human Vision and Electronic Imaging Anish Mittal, Rajiv Soundararajan, Gautam S. Muralidhar, Alan C. Bovik, Joydeep Ghosh
2013	J	`jnl`	CUDIA: Probabilistic cross-level imputation using individual auxiliary information. ACM Trans. Intell. Syst. Technol. Yubin Park, Joydeep Ghosh
2013	—	`ch.`	Cluster Ensembles: Theory and Applications. Data Clustering: Algorithms and Applications Joydeep Ghosh, Ayan Acharya
2013	J	`jnl`	Competitive Learning With Pairwise Constraints. IEEE Trans. Neural Networks Learn. Syst. Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh
2013	A	`conf`	Constrained Bayesian Inference for Low Rank Multitask Learning. UAI Oluwasanmi Koyejo, Joydeep Ghosh
2013	J	`jnl`	Constrained Bayesian Inference for Low Rank Multitask Learning. CoRR Oluwasanmi Koyejo, Joydeep Ghosh
2013	—	`conf`	Constrained Gaussian Process Regression for Gene-Disease Association. ICDM Workshops Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2013	A	`conf`	DYNACARE: Dynamic Cardiac Arrest Risk Estimation. AISTATS Joyce C. Ho, Yubin Park, Carlos Carvalho, Joydeep Ghosh
2013	—	`conf`	Identifying candidate disease genes using a trace norm constrained bipartite raking model. EMBC Cheng H. Lee, Oluwasanmi Koyejo, Joydeep Ghosh
2013	—	`conf`	Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models. PRNI Oluwasanmi Koyejo, Priyank Patel, Joydeep Ghosh, Russell A. Poldrack
2013	—	`conf`	Multivariate temporal symptomatic characterization of cardiac arrest. EMBC Yubin Park, Joyce C. Ho, Joydeep Ghosh
2013	—	`conf`	Noisy Matrix Completion Using Alternating Minimization. ECML/PKDD (2) Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh
2013	—	`conf`	Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data. ICHI Yubin Park, Joydeep Ghosh, Mallikarjun Shankar
2013	A	`conf`	Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. SDM Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar
2013	A	`conf`	Retargeted matrix factorization for collaborative filtering. RecSys Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh
2013	—	`conf`	Risk Prediction of a Multiple Sclerosis Diagnosis. ICHI Joyce C. Ho, Joydeep Ghosh, K. P. Unnikrishnan
2013	J	`jnl`	Semisupervised Learning of Hyperspectral Data With Unknown Land-Cover Classes. IEEE Trans. Geosci. Remote. Sens. Goo Jun, Joydeep Ghosh
2013	J	`jnl`	The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking CoRR Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh
2012	J	`jnl`	A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles CoRR Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh
2012	—	`conf`	A probabilistic imputation framework for predictive analysis using variably aggregated, multi-source healthcare data. IHI Yubin Park, Joydeep Ghosh
2012	J	`jnl`	An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers CoRR Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2012	J	`jnl`	Blind Image Quality Assessment Without Human Training Using Latent Quality Factors. IEEE Signal Process. Lett. Anish Mittal, Gautam S. Muralidhar, Joydeep Ghosh, Alan C. Bovik
2012	J	`jnl`	Dating Texts without Explicit Temporal Cues CoRR Abhimanu Kumar, Jason Baldridge, Matthew Lease, Joydeep Ghosh
2012	A*	`conf`	Discovering important people and objects for egocentric video summarization. CVPR Yong Jae Lee, Joydeep Ghosh, Kristen Grauman
2012	—	`conf`	EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation. ASP-DAC Duo Ding, Bei Yu, Joydeep Ghosh, David Z. Pan
2012	J	`jnl`	Learning to Rank With Bregman Divergences and Monotone Retargeting CoRR Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
2012	A	`conf`	Learning to Rank With Bregman Divergences and Monotone Retargeting. UAI Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh
2012	J	`jnl`	Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning CoRR Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Badrul Sarwar, Jean-David Ruvini
2012	A	`conf`	Review quality aware collaborative filtering. RecSys Sindhu Raghavan, Suriya Gunasekar, Joydeep Ghosh
2012	J	`jnl`	Special issue on best of SIGKDD 2011. ACM Trans. Knowl. Discov. Data Joydeep Ghosh, Padhraic Smyth, Andrew Tomkins, Rich Caruana
2012	—	`conf`	Transfer Learning with Cluster Ensembles. ICML Unsupervised and Transfer Learning Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2011	—	`conf`	A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles. SocialCom/PASSAT Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh
2011	—	`conf`	A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems. HetRec@RecSys Oluwasanmi Koyejo, Joydeep Ghosh
2011	—	`conf`	C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. MCS Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
2011	J	`jnl`	Cluster ensembles. WIREs Data Mining Knowl. Discov. Joydeep Ghosh, Ayan Acharya
2011	—	`conf`	Compact Ensemble Trees for Imbalanced Data. MCS Yubin Park, Joydeep Ghosh
2011	—	`conf`	Learning multiple models for exploiting predictive heterogeneity in recommender systems. HetRec@RecSys Clinton Jones, Joydeep Ghosh, Aayush Sharma
2011	—	`conf`	Prediction of New Customer-Product Affinities from Rich Dyadic Data using Localized Models. ICDM (Workshops) Aayush Sharma, Meghana Deodhar, Joydeep Ghosh
2011	A*	`ed.`	Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 KDD Chid Apté, Joydeep Ghosh, Padhraic Smyth
2011	J	`jnl`	Spatially Adaptive Classification of Land Cover With Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. Goo Jun, Joydeep Ghosh
2011	J	`jnl`	Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis. Stat. Anal. Data Min. Goo Jun, Joydeep Ghosh
2011	—	`conf`	Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures. ICDM Workshops Dean Teffer, Amanda Hutton, Joydeep Ghosh
2010	Misc	`conf`	A Decoupled Approach for Modeling Heterogeneous Dyadic Data with Covariates. GrC Meghana Deodhar, Joydeep Ghosh
2010	C	`conf`	Actionable Mining of Large, Multi-relational Data Using Localized Predictive Models. IC3K Joydeep Ghosh, Aayush Sharma
2010	—	`conf`	Actionable Mining of Large, Multi-relational Data using Localized Predictive Models. KDIR Joydeep Ghosh
2010	J	`jnl`	Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Gunjan Gupta, Alexander Liu, Joydeep Ghosh
2010	—	`conf`	Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets. ICDM Workshops Srivatsava Daruru, Sankari Dhandapani, Gunjan Gupta, Ilian Iliev, Weijia Xu, Paul A. Navrátil, Nena M. Marin, Joydeep Ghosh
2010	—	`ch.`	Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers. Data Mining Alexander Liu, Cheryl Martin, Brian La Cour, Joydeep Ghosh
2010	B	`conf`	Nearest-Manifold Classification with Gaussian Processes. ICPR Goo Jun, Joydeep Ghosh
2010	Misc	`conf`	Parallel Simultaneous Co-clustering and Learning with Map-Reduce. GrC Meghana Deodhar, Clinton Jones, Joydeep Ghosh
2010	—	`conf`	Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. KDIR Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic
2010	J	`jnl`	SCOAL: A framework for simultaneous co-clustering and learning from complex data. ACM Trans. Knowl. Discov. Data Meghana Deodhar, Joydeep Ghosh
2010	—	`conf`	Spatially Adaptive Semi-supervised Learning with Gaussian Processes for Hyperspectral Data Analysis. CIDU Goo Jun, Joydeep Ghosh
2009	—	`conf`	A Self-training Approach to Cost Sensitive Uncertainty Sampling. ECML/PKDD (1) Alexander Liu, Goo Jun, Joydeep Ghosh
2009	A*	`conf`	A scalable framework for discovering coherent co-clusters in noisy data. ICML Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon
2009	J	`jnl`	A self-training approach to cost sensitive uncertainty sampling. Mach. Learn. Alexander Liu, Goo Jun, Joydeep Ghosh
2009	—	`conf`	Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs. IGARSS (5) Alexander Liu, Goo Jun, Joydeep Ghosh
2009	—	`conf`	Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis. MCS Goo Jun, Joydeep Ghosh
2009	—	`conf`	MiPPS: A Generative Model for Multi-Manifold Clustering. AAAI Fall Symposium: Manifold Learning and Its Applications Oluwasanmi Koyejo, Joydeep Ghosh
2009	A*	`conf`	Mining for the most certain predictions from dyadic data. KDD Meghana Deodhar, Joydeep Ghosh
2009	—	`conf`	Multi-class Boosting with Class Hierarchies. MCS Goo Jun, Joydeep Ghosh
2009	A*	`conf`	Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data. KDD Srivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh
2009	—	`conf`	Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. ICDM Workshops Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
2009	—	`conf`	Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes. IGARSS (2) Goo Jun, Joydeep Ghosh
2009	A	`conf`	Spatially Cost-Sensitive Active Learning. SDM Alexander Liu, Goo Jun, Joydeep Ghosh
2008	—	`conf`	A Text Retrieval Approach to Content-Based Audio Hashing. ISMIR Matthew Riley, Eric Heinen, Joydeep Ghosh
2008	A	`conf`	A spam resistant family of concavo-convex ranks for link analysis. CIKM Sreangsu Acharyya, Joydeep Ghosh
2008	J	`jnl`	An Active Learning Approach to Hyperspectral Data Classification. IEEE Trans. Geosci. Remote. Sens. Suju Rajan, Joydeep Ghosh, Melba M. Crawford
2008	—	`conf`	An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data Analysis. IGARSS (1) Goo Jun, Joydeep Ghosh
2008	J	`jnl`	Analysing and improving clustering based sampling for microprocessor simulation. Int. J. High Perform. Comput. Netw. Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kurian John, Joydeep Ghosh
2008	J	`jnl`	Bregman bubble clustering: A robust framework for mining dense clusters. ACM Trans. Knowl. Discov. Data Gunjan Gupta, Joydeep Ghosh
2008	J	`jnl`	Consensus-Based Ensembles of Soft Clusterings. Appl. Artif. Intell. Kunal Punera, Joydeep Ghosh
2008	A*	`conf`	Enhanced hierarchical classification via isotonic smoothing. WWW Kunal Punera, Joydeep Ghosh
2008	—	`conf`	Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets. ICDM Workshops Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk Cho, Inderjit S. Dhillon
2008	C	`conf`	Probabilistic frameworks for privacy-aware data mining. ISI Joydeep Ghosh
2008	—	`conf`	Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data. ICDM Workshops Meghana Deodhar, Joydeep Ghosh
2008	—	`conf`	Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data. IGARSS (1) Wonkook Kim, Melba M. Crawford, Joydeep Ghosh
2008	J	`jnl`	Top 10 algorithms in data mining. Knowl. Inf. Syst. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
2007	J	`jnl`	A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. J. Mach. Learn. Res. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha
2007	A*	`conf`	A framework for simultaneous co-clustering and learning from complex data. KDD Meghana Deodhar, Joydeep Ghosh
2007	—	`conf`	Consensus Based Ensembles of Soft Clusterings. MLMTA Kunal Punera, Joydeep Ghosh
2007	J	`jnl`	Data Mining Technical Committee. IEEE Comput. Intell. Mag. Joydeep Ghosh
2007	—	`conf`	Generative Oversampling for Mining Imbalanced Datasets. DMIN Alexander Liu, Joydeep Ghosh, Cheryl Martin
2007	C	`conf`	Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification. CIDM Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2007	C	`conf`	Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data. CIBCB Chase Krumpelman, Joydeep Ghosh
2007	C	`conf`	Multiresolution manifold learning for classification of hyperspectral data. IGARSS Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh
2007	—	`conf`	Simultaneous Co-clustering and Modeling of Market Data. ICDM (Posters and Workshops) Meghana Deodhar, Joydeep Ghosh
2006	C	`conf`	An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis. IGARSS Suju Raj, Joydeep Ghosh, Melba M. Crawford
2006	—	`conf`	Automatic Construction of N-ary Tree Based Taxonomies. ICDM Workshops Kunal Punera, Suju Rajan, Joydeep Ghosh
2006	A*	`conf`	Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data. ICDM Gunjan Gupta, Joydeep Ghosh
2006	—	`conf`	Consensus Clustering for Detection of Overlapping Clusters in Microarray Data. ICDM Workshops Meghana Deodhar, Joydeep Ghosh
2006	J	`jnl`	Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. Suju Rajan, Joydeep Ghosh, Melba M. Crawford
2006	—	`conf`	Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets. ICDM Workshops Gunjan Gupta, Alexander Liu, Joydeep Ghosh
2006	C	`conf`	Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection. IGARSS Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2006	A	`ed.`	Proceedings of the Sixth SIAM International Conference on Data Mining, April 20-22, 2006, Bethesda, MD, USA SDM Joydeep Ghosh, Diane Lambert, David B. Skillicorn, Jaideep Srivastava
2006	J	`jnl`	Scalable Clustering Algorithms with Balancing Constraints. Data Min. Knowl. Discov. Arindam Banerjee, Joydeep Ghosh
2006	—	`ch.`	Similarity-Based Text Clustering: A Comparative Study. Grouping Multidimensional Data Joydeep Ghosh, Alexander Strehl
2005	A*	`conf`	A Maximum Likelihood Framework for Integrating Taxonomies. AAAI Suju Rajan, Kunal Punera, Joydeep Ghosh
2005	A*	`conf`	A distributed learning framework for heterogeneous data sources. KDD Srujana Merugu, Joydeep Ghosh
2005	J	`jnl`	A privacy-sensitive approach to distributed clustering. Pattern Recognit. Lett. Srujana Merugu, Joydeep Ghosh
2005	C	`conf`	Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation. SBAC-PAD Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kurian John, Joydeep Ghosh
2005	C	`conf`	Applying nonlinear manifold learning to hyperspectral data for land cover classification. IGARSS Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2005	—	`conf`	Automatically learning document taxonomies for hierarchical classification. WWW (Special interest tracks and posters) Kunal Punera, Suju Rajan, Joydeep Ghosh
2005	A*	`conf`	CLUMP: A Scalable and Robust Framework for Structure Discovery. ICDM Kunal Punera, Joydeep Ghosh
2005	J	`jnl`	Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. J. Mach. Learn. Res. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
2005	J	`jnl`	Clustering with Bregman Divergences. J. Mach. Learn. Res. Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh
2005	—	`conf`	Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. Multiple Classifier Systems Suju Rajan, Joydeep Ghosh
2005	J	`jnl`	Generative model-based document clustering: a comparative study. Knowl. Inf. Syst. Shi Zhong, Joydeep Ghosh
2005	J	`jnl`	Investigation of the random forest framework for classification of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. Jisoo Ham, Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2005	A*	`conf`	Model-based overlapping clustering. KDD Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney
2005	—	`conf`	Probabilistic Principal Surface Classifier. FSKD (2) Kuiyu Chang, Joydeep Ghosh
2005	A*	`conf`	Robust one-class clustering using hybrid global and local search. ICML Gunjan Gupta, Joydeep Ghosh
2004	A*	`conf`	A generalized maximum entropy approach to bregman co-clustering and matrix approximation. KDD Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha
2004	J	`jnl`	Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data. Int. J. Pattern Recognit. Artif. Intell. Joseph T. Morgan, Jisoo Ham, Melba M. Crawford, Alex Henneguelle, Joydeep Ghosh
2004	—	`conf`	An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. Multiple Classifier Systems Suju Rajan, Joydeep Ghosh
2004	A*	`conf`	An information theoretic analysis of maximum likelihood mixture estimation for exponential families. ICML Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu
2004	A	`conf`	Clustering with Bregman Divergences. SDM Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh
2004	J	`jnl`	Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres. IEEE Trans. Neural Networks Arindam Banerjee, Joydeep Ghosh
2004	C	`conf`	Integrating support vector machines in a hierarchical output space decomposition framework. IGARSS Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
2004	—	`conf`	Outlink estimation for pagerank computation under missing data. WWW (Alternate Track Papers & Posters) Sreangsu Acharyya, Joydeep Ghosh
2003	J	`jnl`	A Unified Framework for Model-based Clustering. J. Mach. Learn. Res. Shi Zhong, Joydeep Ghosh
2003	C	`conf`	Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search. IGARSS Donna Korycinski, Melba M. Crawford, J. W. Barnes, Joydeep Ghosh
2003	B	`conf`	Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts. IJCNN Arindam Banerjee, Joydeep Ghosh
2003	A*	`conf`	Generative model-based clustering of directional data. KDD Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
2003	—	`conf`	Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data. IICAI Alex Henneguelle, Joydeep Ghosh, Melba M. Crawford
2003	A*	`conf`	Privacy-preserving Distributed Clustering using Generative Models. ICDM Srujana Merugu, Joydeep Ghosh
2003	J	`jnl`	Relationship-Based Clustering and Visualization for High-Dimensional Data Mining. INFORMS J. Comput. Alexander Strehl, Joydeep Ghosh
2003	A	`conf`	Scalable, Balanced Model-based Clustering. SDM Shi Zhong, Joydeep Ghosh
2002	—	`conf`	Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data. Multiple Classifier Systems Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy Neuenschwander
2002	C	`conf`	Best bases Bayesian hierarchical classifier for hyperspectral data analysis. IGARSS Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy L. Neuenschwander
2002	J	`jnl`	Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions. J. Mach. Learn. Res. Alexander Strehl, Joydeep Ghosh
2002	—	`conf`	Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings. AAAI/IAAI Alexander Strehl, Joydeep Ghosh
2002	J	`jnl`	Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis. Pattern Anal. Appl. Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
2002	—	`conf`	Multiclassifier Systems: Back to the Future. Multiple Classifier Systems Joydeep Ghosh
2002	A	`conf`	On Scaling Up Balanced Clustering Algorithms. SDM Arindam Banerjee, Joydeep Ghosh
2002	J	`jnl`	Robust Combining of Disparate Classifiers through Order Statistics. Pattern Anal. Appl. Kagan Tumer, Joydeep Ghosh
2001	J	`jnl`	A Unified Model for Probabilistic Principal Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. Kuiyu Chang, Joydeep Ghosh
2001	J	`jnl`	Best-bases feature extraction algorithms for classification of hyperspectral data. IEEE Trans. Geosci. Remote. Sens. Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
2001	A	`conf`	Detecting Seasonal Trends and Cluster Motion Visualization for Very High Dimensional Transactional Data. SDM Gunjan Gupta, Joydeep Ghosh
2001	A*	`conf`	Evaluating the novelty of text-mined rules using lexical knowledge. KDD Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh
2001	—	`conf`	Value-balanced agglomerative connectivity clustering. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Gunjan Gupta, Joydeep Ghosh
2000	—	`conf`	A Hierarchical Multiclassifier System for Hyperspectral Data Analysis. Multiple Classifier Systems Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
2000	Misc	`conf`	A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets. HiPC Alexander Strehl, Joydeep Ghosh
2000	J	`jnl`	Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. SIGKDD Explor. Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic
2000	—	`conf`	The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. IJCNN (3) Adrian K. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa
2000	—	`conf`	Two-Dimensional Phase Unwrapping Using Neural Networks. SSIAI Wade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh, Brian L. Evans, Alan C. Bovik
2000	—	`conf`	Value-based customer grouping from large retail data sets. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Alexander Strehl, Joydeep Ghosh
1999	B	`conf`	A neural network based classifier and biofeedback device for improving clarinet tone-quality. IJCNN Ian R. Fasel, Kurt Dewitt Bollacker, Joydeep Ghosh
1999	B	`conf`	A versatile framework for labelling imagery with a large number of classes. IJCNN Shailesh Kumar, Melba M. Crawford, Joydeep Ghosh
1999	J	`jnl`	Effective supra-classifiers for knowledge base construction. Pattern Recognit. Lett. Kurt Dewitt Bollacker, Joydeep Ghosh
1999	J	`jnl`	Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer CoRR Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Rebecca R. Richards-Kortum
1999	J	`jnl`	Fast image classification using a sequence of visual fixations. IEEE Trans. Syst. Man Cybern. Part B Turker Kuyel, Wilson S. Geisler, Joydeep Ghosh
1999	J	`jnl`	Linear and Order Statistics Combiners for Pattern Classification CoRR Kagan Tumer, Joydeep Ghosh
1999	B	`conf`	Probabilistic principal surfaces. IJCNN Kyu-Yu Chang, Joydeep Ghosh
1999	J	`jnl`	Retinally reconstructed images: digital images having a resolution match with the human eye. IEEE Trans. Syst. Man Cybern. Part A T. Kyuel, Wilson S. Geisler, Joydeep Ghosh
1999	J	`jnl`	Robust Combining of Disparate Classifiers through Order Statistics CoRR Kagan Tumer, Joydeep Ghosh
1999	J	`jnl`	Structurally adaptive modular networks for nonstationary environments. IEEE Trans. Neural Networks Viswanath Ramamurti, Joydeep Ghosh
1999	J	`jnl`	Symbolic Interpretation of Artificial Neural Networks. IEEE Trans. Knowl. Data Eng. Ismail A. Taha, Joydeep Ghosh
1999	B	`conf`	Visualization of radial basis function networks. IJCNN Adrian K. Agogino, Joydeep Ghosh, Cheryl E. Martin
1998	A*	`conf`	A Supra-Classifier Architecture for Scalable Knowledge Reuse. ICML Kurt Dewitt Bollacker, Joydeep Ghosh
1998	J	`jnl`	Ensembles of radial basis function networks for spectroscopic detection of cervical precancer. IEEE Trans. Biomed. Eng. Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Rebecca R. Richards-Kortum
1998	—	`conf`	Retinally reconstructed images (RRIs): digital images having a resolution match with the human eye. Human Vision and Electronic Imaging Turker Kuyel, Wilson S. Geisler, Joydeep Ghosh
1997	J	`jnl`	A mixture-of-experts framework for adaptive Kalman filtering. IEEE Trans. Syst. Man Cybern. Part B Wassim S. Chaer, Robert H. Bishop, Joydeep Ghosh
1997	—	`conf`	A scalable method for classifier knowledge reuse. ICNN Kurt Dewitt Bollacker, Joydeep Ghosh
1997	J	`jnl`	Complete memory structures for approximating nonlinear discrete-time mappings. IEEE Trans. Neural Networks Bryan W. Stiles, Irwin W. Sandberg, Joydeep Ghosh
1997	—	`conf`	Evaluation and ordering of rules extracted from feedforward networks. ICNN Ismail A. Taha, Joydeep Ghosh
1997	J	`jnl`	Function Emulation Using Radial Basis Function Networks. Neural Networks V. Srinivasa Chakravarthy, Joydeep Ghosh
1997	J	`jnl`	Habituation based neural networks for spatio-temporal classification. Neurocomputing Bryan W. Stiles, Joydeep Ghosh
1997	J	`jnl`	Knowledge reuse in multiple classifier systems. Pattern Recognit. Lett. Kurt Dewitt Bollacker, Joydeep Ghosh
1997	—	`conf`	Multisensor Integration for Scene Classifiction: An Experiment in Human Form Detection. ICIP (2) Shishir Shah, J. K. Aggarwal, Jayakrishnan Eledath, Joydeep Ghosh
1997	J	`jnl`	On Hebbian-like adaptation in heart muscle: a proposal for 'cardiac memory'. Biol. Cybern. V. Srinivasa Chakravarthy, Joydeep Ghosh
1997	—	`conf`	Regularization and error bars for the mixture of experts network. ICNN Viswanath Ramamurti, Joydeep Ghosh
1996	J	`jnl`	A Concurrent Architecture for Serializable Production Systems. IEEE Trans. Parallel Distributed Syst. José N. Amaral, Joydeep Ghosh
1996	J	`jnl`	A complex-valued associative memory for storing patterns as oscillatory states. Biol. Cybern. V. Srinivasa Chakravarthy, Joydeep Ghosh
1996	Misc	`conf`	Advances in using hierarchical mixture of experts for signal classification. ICASSP Viswanath Ramamurti, Joydeep Ghosh
1996	J	`jnl`	Analysis of decision boundaries in linearly combined neural classifiers. Pattern Recognit. Kagan Tumer, Joydeep Ghosh
1996	J	`jnl`	Error Correlation and Error Reduction in Ensemble Classifiers. Connect. Sci. Kagan Tumer, Joydeep Ghosh
1996	B	`conf`	Estimating the Bayes error rate through classifier combining. ICPR Kagan Tumer, Joydeep Ghosh
1996	B	`conf`	Linear feature extractors based on mutual information. ICPR Kurt Dewitt Bollacker, Joydeep Ghosh
1996	—	`conf`	Mutual information feature extractors for neural classifiers. ICNN Kurt Dewitt Bollacker, Joydeep Ghosh
1996	J	`jnl`	Scale-based clustering using the radial basis function network. IEEE Trans. Neural Networks V. Srinivasa Chakravarthy, Joydeep Ghosh
1996	—	`conf`	Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. NIPS Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh
1996	B	`conf`	Structural adaptation in mixture of experts. ICPR Viswanath Ramamurti, Joydeep Ghosh
1995	J	`jnl`	Designing genetic algorithms for the state assignment problem. IEEE Trans. Syst. Man Cybern. José Nelson Amaral, Kagan Tumer, Joydeep Ghosh
1995	Misc	`conf`	Habituation based neural classifiers for spatio-temporal signals. ICASSP Bryan W. Stiles, Joydeep Ghosh
1995	—	`conf`	Performance measurements of a concurrent production system architecture without global synchronization. IPPS José N. Amaral, Joydeep Ghosh
1995	J	`jnl`	Predictive Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM. IEEE J. Sel. Areas Commun. Song Chong, San-qi Li, Joydeep Ghosh
1995	J	`jnl`	Ridge polynomial networks. IEEE Trans. Neural Networks Yoan Shin, Joydeep Ghosh
1994	J	`jnl`	A Comprehensive Analytical Model for Wormhole Routng in Multicomputer Systems. J. Parallel Distributed Comput. Jeffrey T. Draper, Joydeep Ghosh
1994	J	`jnl`	Concurrent Processing of Linearly Ordered Data Structures on Hypercube Multicomputers. IEEE Trans. Parallel Distributed Syst. Joydeep Ghosh, Sajal K. Das, Ajita John
1994	J	`jnl`	Distributed control schemes for fast arbitration in large crossbar networks. IEEE Trans. Very Large Scale Integr. Syst. Joydeep Ghosh, Anujan Varma, Naveen Krishnamurthy
1994	A*	`conf`	Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM. INFOCOM Song Chong, San-qi Li, Joydeep Ghosh
1994	Misc	`conf`	OTA Based Neural Network Architectures with On-Chip Tuning of Synapses. VLSI Design Joydeep Ghosh, Patrick LaCour, Spence Jackson
1994	J	`jnl`	Repeated Computation of Global Functions in a Distributed Environment. IEEE Trans. Parallel Distributed Syst. Vijay K. Garg, Joydeep Ghosh
1994	C	`conf`	Sequence Recognition by Input Anticipation. IEA/AIE Kagan Tumer, Joydeep Ghosh
1994	J	`jnl`	The M-Cache: A Message-Handling Mechanism for Multicomputer Systems. Parallel Comput. Jeffrey T. Draper, Joydeep Ghosh
1993	—	`conf`	A temporal memory network with state-dependent thresholds. ICNN Joydeep Ghosh, Shaoyun Wang
1993	Misc	`conf`	Fault-Tolerant Arbitration in Multichip Crossbar Switches. VLSI Design Joydeep Ghosh, Nari Krishnamurthy
1993	J	`jnl`	Pattern association and retrieval in a continuous neural system. Biol. Cybern. Hung-Jen Chang, Joydeep Ghosh
1993	J	`jnl`	Performance Evaluation of a Parallel I/O Subsystem for Hypercube Multicomputers. J. Parallel Distributed Comput. Joydeep Ghosh, Kelvin D. Goveas, Jeffrey T. Draper
1993	—	`conf`	Time optimal control using pi-sigma networks. ICNN Kunio Iwata, Joydeep Ghosh, Yoan Shin
1992	J	`jnl`	A Macroscopic Model of Neural Ensembles: Learning-Induced Oscillations in a Cell Assembly. Int. J. Neural Syst. Hung-Jen Chang, Joydeep Ghosh, Kadir Liano
1992	J	`jnl`	Efficient Higher-Order Neural Networks for Classification and Function Approximation. Int. J. Neural Syst. Joydeep Ghosh, Yoan Shin
1992	—	`conf`	Multipath E-Cube Algorithms (MECA) for Adaptive Wormhole Routing and Broadcasting in itk-ary itn-Cubes. IPPS Jeffrey T. Draper, Joydeep Ghosh
1992	J	`jnl`	Stirling Networks: A Versatile Combinatorial Topology for Multiprocessor Systems. Discret. Appl. Math. Sajal K. Das, Joydeep Ghosh, Narsingh Deo
1991	—	`conf`	Parallel I/O Subsystems for Distributed-Memory Multicomputers. IPPS Joydeep Ghosh, Bipul Agarwal
1991	—	`conf`	The M-cache: a message-retrieving mechanism for multicomputer systems. SPDP Jeffrey T. Draper, Joydeep Ghosh, William C. Athas
1990	—	`conf`	Multisensor fusion using neural networks. SPDP Joydeep Ghosh, Richard L. Holmberg
1990	J	`jnl`	Rearrangeable operation of large crosspoint switching networks. IEEE Trans. Commun. Anujan Varma, Joydeep Ghosh, Christos J. Georgiou
1990	C	`conf`	Reliable design of multichip nonblocking crossbars. ICCD Joydeep Ghosh, Anujan Varma
1990	A	`conf`	Symmetry in Spite of Hierarchy. ICDCS Vijay K. Garg, Joydeep Ghosh
1989	J	`jnl`	Mapping Neural Networks onto Message-Passing Multicomputers. J. Parallel Distributed Comput. Joydeep Ghosh, Kai Hwang
1988	A*	`conf`	Critical Issues in Mapping Neural Networks on Message-Passing Multicomputers. ISCA Joydeep Ghosh, Kai Hwang
1988	—	`conf`	Reliable design of large crosspoint switching networks. FTCS Anujan Varma, Joydeep Ghosh, Christos J. Georgiou
1987	J	`jnl`	Computer Architectures for Artificial Intelligence Processing. Computer Kai Hwang, Joydeep Ghosh, Raymond Chowkwanyun
1987	B	`conf`	Hypernet Architectures for Parallel Processing. ICPP Kai Hwang, Joydeep Ghosh
1987	J	`jnl`	Hypernet: A Communication-Efficient Architecture for Constructing Massively Parallel Computers. IEEE Trans. Computers Kai Hwang, Joydeep Ghosh