Vasant G. Honavar

320 papers A* 38A 23B 17C 4Misc 11Journal 114Unranked 98

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hyperdimensional Cross-Modal Alignment of Frozen Language and Image Models for Efficient Image Captioning. CoRR Abhishek Dalvi, Vasant G. Honavar
2025	J	`jnl`	A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models. CoRR Weijieying Ren, Jingxi Zhu, Zehao Liu, Tianxiang Zhao, Vasant G. Honavar
2025	J	`jnl`	A practical guide to machine learning interatomic potentials - Status and future. CoRR Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, Kamal Choudhary, Gábor Csányi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant G. Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani, Shyue Ping Ong, Igor Poltavsky, K. J. Schmidt, So Takamoto, Aidan Thompson, Julia Westermayr, Brandon M. Wood
2025	J	`jnl`	Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics. CoRR Hamed Mahdavi, Alireza Hashemi, Majid Daliri, Pegah Mohammadipour, Alireza Farhadi, Samira Malek, Yekta Yazdanifard, Amir Khasahmadi, Vasant G. Honavar
2025	J	`jnl`	C-HDNet: A Fast Hyperdimensional Computing Based Method for Causal Effect Estimation from Networked Observational Data. CoRR Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar
2025	J	`jnl`	C-HDNet: A Fast Hyperdimensional Computing Based Method for Causal Effect Estimation from Networked Observational Data. Soc. Netw. Anal. Min. Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar
2025	A*	`conf`	Checking Consistency of CP-Theory Preferences in Polynomial Time. AAAI Erik Rauer, Samik Basu, Vasant G. Honavar
2025	J	`jnl`	Class Incremental Learning from First Principles: A Review. Trans. Mach. Learn. Res. Neil Ashtekar, Jingxi Zhu, Vasant G. Honavar
2025	J	`jnl`	CombiGraph-Vis: A Curated Multimodal Olympiad Benchmark for Discrete Mathematical Reasoning. CoRR Hamed Mahdavi, Pouria Mahdavinia, Alireza Farhadi, Pegah Mohammadipour, Samira Malek, Majid Daliri, Pedram Mohammadipour, Alireza Hashemi, Amir Khasahmadi, Vasant G. Honavar
2025	J	`jnl`	Correction: C-HDNet: hyperdimensional computing for causal effect estimation from observational data under network interference. Soc. Netw. Anal. Min. Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar
2025	J	`jnl`	DGX: Uncovering General Behavior of Deep Graph Models With Model-Level Explanation. IEEE Trans. Comput. Biol. Bioinform. Jinlong Hu, Jiacheng Liu, Shoubin Dong, Bin Liao, Junjie Liang, Vasant G. Honavar
2025	A*	`conf`	DSPO: Direct Score Preference Optimization for Diffusion Model Alignment. ICLR Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
2025	J	`jnl`	Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions. CoRR Weijieying Ren, Tianxiang Zhao, Yuqing Huang, Vasant G. Honavar
2025	J	`jnl`	DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction. CoRR Weijieying Ren, Tianxiang Zhao, Lei Wang, Tianchun Wang, Vasant G. Honavar
2025	—	`conf`	DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction. ACL (Findings) Weijieying Ren, Tianxiang Zhao, Lei Wang, Tianchun Wang, Vasant G. Honavar
2025	A	`conf`	Hyperdimensional Representation Learning for Node Classification and Link Prediction. WSDM Abhishek Dalvi, Vasant G. Honavar
2025	A*	`conf`	On a Connection Between Imitation Learning and RLHF. ICLR Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar
2025	J	`jnl`	On a Connection Between Imitation Learning and RLHF. CoRR Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G. Honavar
2025	J	`jnl`	RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows. CoRR Hamed Mahdavi, Pouria Mahdavinia, Samira Malek, Pegah Mohammadipour, Alireza Hashemi, Majid Daliri, Alireza Farhadi, Amir Khasahmadi, Niloofar Mireshghallah, Vasant G. Honavar
2025	A*	`conf`	Reinforcement Learning for Large Language Models via Group Preference Reward Shaping. EMNLP Huaisheng Zhu, Siyuan Xu, Hangfan Zhang, Teng Xiao, Zhimeng Guo, Shijie Zhou, Shuyue Hu, Vasant G. Honavar
2025	A*	`conf`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. ICLR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	J	`jnl`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. CoRR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	J	`jnl`	Simple Denoising Diffusion Language Models. CoRR Huaisheng Zhu, Zhengyu Chen, Shijie Zhou, Zhihui Xie, Yige Yuan, Zhimeng Guo, Siyuan Xu, Hangfan Zhang, Vasant G. Honavar, Teng Xiao
2025	J	`jnl`	Skin-R1: Toward Trustworthy Clinical Reasoning for Dermatological Diagnosis. CoRR Zehao Liu, Wejieying Ren, Jipeng Zhang, Tianxiang Zhao, Jingxi Zhu, Xiaoting Li, Vasant G. Honavar
2024	J	`jnl`	3M-Diffusion: Latent Multi-Modal Diffusion for Text-Guided Generation of Molecular Graphs. CoRR Huaisheng Zhu, Teng Xiao, Vasant G. Honavar
2024	A*	`conf`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. NeurIPS Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	J	`jnl`	Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. CoRR Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G. Honavar
2024	J	`jnl`	Causal Effect Estimation Using Random Hyperplane Tessellations. CoRR Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar
2024	—	`conf`	Causal Matching using Random Hyperplane Tessellations. CLeaR Abhishek Dalvi, Neil Ashtekar, Vasant G. Honavar
2024	A*	`conf`	Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar
2024	A	`conf`	EsaCL: An Efficient Continual Learning Algorithm. SDM Weijieying Ren, Vasant G. Honavar
2024	J	`jnl`	EsaCL: Efficient Continual Learning of Sparse Models. CoRR Weijieying Ren, Vasant G. Honavar
2024	—	`conf`	GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. BIBM Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	J	`jnl`	GeomCLIP: Contrastive Geometry-Text Pre-training for Molecules. CoRR Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	A*	`conf`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. EMNLP Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	J	`jnl`	How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. CoRR Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G. Honavar
2024	A*	`conf`	Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. AAAI Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G. Honavar
2024	J	`jnl`	MolBind: Multimodal Alignment of Language, Molecules, and Proteins. CoRR Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
2024	J	`jnl`	One-Shot Graph Representation Learning Using Hyperdimensional Computing. CoRR Abhishek Dalvi, Vasant G. Honavar
2024	J	`jnl`	Regression with Large Language Models for Materials and Molecular Property Prediction. CoRR Ryan Jacobs, Maciej P. Polak, Lane E. Schultz, Hamed Mahdavi, Vasant G. Honavar, Dane Morgan
2024	A*	`conf`	TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. ICML Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar
2023	—	`conf`	A Simple, Fast Algorithm for Continual Learning from High-Dimensional Data. Tiny Papers @ ICLR Neil Ashtekar, Vasant G. Honavar
2023	J	`jnl`	Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. IEEE J. Biomed. Health Informatics Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang
2023	B	`conf`	License Forecasting and Scheduling for HPC. MASCOTS Ahmed Burak Gulhan, Gulsum Gudukbay Akbulut, Amit Amritkar, Jack Sampson, Vasant G. Honavar, Adam Focht, Chuck Pavloski, Mahmut T. Kandemir
2023	A	`conf`	Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries. ECAI Samik Basu, Vasant G. Honavar, Ganesh Ram Santhanam, Jia Tao
2023	J	`jnl`	Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries. CoRR Samik Basu, Vasant G. Honavar, Ganesh Ram Santhanam, Jia Tao
2022	J	`jnl`	Detecting and Interpreting Changes in Scanning Behavior in Large Network Telescopes. IEEE Trans. Inf. Forensics Secur. Michael G. Kallitsis, Rupesh Prajapati, Vasant G. Honavar, Dinghao Wu, John Yen
2022	J	`jnl`	Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. CoRR Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang
2021	A	`conf`	Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. WSDM Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
2021	A*	`conf`	FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data. NDSS Junjie Liang, Wenbo Guo, Tongbo Luo, Vasant G. Honavar, Gang Wang, Xinyu Xing
2021	A	`conf`	Functional Autoencoders for Functional Data Representation Learning. SDM Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
2021	A*	`conf`	Longitudinal Deep Kernel Gaussian Process Regression. AAAI Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar
2021	A	`conf`	Shedding light into the darknet: scanning characterization and detection of temporal changes. CoNEXT Rupesh Prajapati, Vasant G. Honavar, Dinghao Wu, John Yen, Michalis Kallitsis
2021	A*	`conf`	SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. WWW Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
2021	J	`jnl`	Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes. CoRR Michalis Kallitsis, Vasant G. Honavar, Rupesh Prajapati, Dinghao Wu, John Yen
2020	J	`jnl`	A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution. CoRR Aria Khademi, Vasant G. Honavar
2020	A*	`conf`	Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. WWW Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2020	A*	`conf`	Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract). AAAI Aria Khademi, Vasant G. Honavar
2020	J	`jnl`	Commuting Network Spillovers and COVID-19 Deaths Across US Counties. CoRR Christopher Seto, Aria Khademi, Corina Graif, Vasant G. Honavar
2020	—	`conf`	Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data. FODS Thanh Le, Vasant G. Honavar
2020	J	`jnl`	Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals. CoRR Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
2020	A*	`conf`	LMLFM: Longitudinal Multi-Level Factorization Machine. AAAI Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar
2020	J	`jnl`	Longitudinal Deep Kernel Gaussian Process Regression. CoRR Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar
2020	J	`jnl`	The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research. Comput. Sci. Eng. Manish Parashar, Anthony Simonet, Ivan Rodero, Forough Ghahramani, Grace Agnew, Ron Jantz, Vasant G. Honavar
2020	J	`jnl`	iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machines. SoftwareX Nicolas Renaud, Yong Jung, Vasant G. Honavar, Cunliang Geng, Alexandre M. J. J. Bonvin, Li C. Xue
2020	J	`jnl`	iScore: a novel graph kernel-based function for scoring protein-protein docking models. Bioinform. Cunliang Geng, Yong Jung, Nicolas Renaud, Vasant G. Honavar, Alexandre M. J. J. Bonvin, Li C. Xue
2019	—	`conf`	Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. ICBK Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
2019	J	`jnl`	Algorithmic Bias in Recidivism Prediction: A Causal Perspective. CoRR Aria Khademi, Vasant G. Honavar
2019	A*	`conf`	Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality. WWW Aria Khademi, Sanghack Lee, David Foley, Vasant G. Honavar
2019	J	`jnl`	Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality. CoRR Aria Khademi, Sanghack Lee, David Foley, Vasant G. Honavar
2019	A	`conf`	Improving Image Captioning by Leveraging Knowledge Graphs. WACV Yimin Zhou, Yiwei Sun, Vasant G. Honavar
2019	J	`jnl`	Improving Image Captioning by Leveraging Knowledge Graphs. CoRR Yimin Zhou, Yiwei Sun, Vasant G. Honavar
2019	J	`jnl`	LMLFM: Longitudinal Multi-Level Factorization Machine. CoRR Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant G. Honavar
2019	A*	`conf`	MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. IJCAI Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019	J	`jnl`	MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. CoRR Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019	A*	`conf`	Minimum Intervention Cover of a Causal Graph. AAAI Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar
2019	J	`jnl`	Node Injection Attacks on Graphs via Reinforcement Learning. CoRR Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2019	J	`jnl`	The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario. CoRR Thanh Le, Vasant G. Honavar
2019	A	`conf`	Towards Robust Relational Causal Discovery. UAI Sanghack Lee, Vasant G. Honavar
2019	J	`jnl`	Towards Robust Relational Causal Discovery. CoRR Sanghack Lee, Vasant G. Honavar
2018	J	`jnl`	A user similarity-based Top- Expert Syst. Appl. Jinlong Hu, Junjie Liang, Yuezhen Kuang, Vasant G. Honavar
2018	—	`conf`	Compositional Stochastic Average Gradient for Machine Learning and Related Applications. IDEAL (1) Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar
2018	J	`jnl`	Compositional Stochastic Average Gradient for Machine Learning and Related Applications. CoRR Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar
2018	—	`ch.`	Machine Learning in Computational Biology. Encyclopedia of Database Systems (2nd ed.) Cornelia Caragea, Vasant G. Honavar
2018	—	`conf`	Microbiomarkers Discovery in Inflammatory Bowel Diseases using Network-Based Feature Selection. BCB Mostafa M. Abbas, Thanh Le, Halima Bensmail, Vasant G. Honavar, Yasser El-Manzalawy
2018	J	`jnl`	Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement. CoRR Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar
2018	—	`conf`	Multi-view Network Embedding via Graph Factorization Clustering and Co-regularized Multi-view Agreement. ICDM Workshops Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh, Vasant G. Honavar
2018	—	`conf`	PATENet: Pairwise Alignment of Time Evolving Networks. MLDM (1) Shlomit Gur, Vasant G. Honavar
2018	—	`ed.`	Proceedings of the 1st ACM SIGSOFT International Workshop on Automated Specification Inference, WASPI@ESEC/SIGSOFT FSE, Lake Buena Vista, FL, USA, November 9, 2018 WASPI@ESEC/SIGSOFT FSE Robert Dyer, Vasant G. Honavar, Gary T. Leavens, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan
2018	—	`conf`	Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. IEEE BigData Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar
2018	J	`jnl`	Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. CoRR Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant G. Honavar
2018	—	`conf`	Toward personalized sleep-wake prediction from actigraphy. BHI Aria Khademi, Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar
2017	J	`jnl`	Advanced Cyberinfrastructure for Science, Engineering, and Public Policy. CoRR Vasant G. Honavar, Katherine A. Yelick, Klara Nahrstedt, Holly E. Rushmeier, Jennifer Rexford, Mark D. Hill, Elizabeth Bradley, Elizabeth D. Mynatt
2017	J	`jnl`	Advances in Artificial Intelligence Require Progress Across all of Computer Science. CoRR Gregory D. Hager, Randal E. Bryant, Eric Horvitz, Maja J. Mataric, Vasant G. Honavar
2017	J	`jnl`	Big Data, Data Science, and Civil Rights. CoRR Solon Barocas, Elizabeth Bradley, Vasant G. Honavar, Foster J. Provost
2017	A	`conf`	Self-Discrepancy Conditional Independence Test. UAI Sanghack Lee, Vasant G. Honavar
2017	—	`conf`	Sleep/wake state prediction and sleep parameter estimation using unsupervised classification via clustering. BIBM Yasser El-Manzalawy, Orfeu M. Buxton, Vasant G. Honavar
2017	J	`jnl`	Template-based protein-protein docking exploiting pairwise interfacial residue restraints. Briefings Bioinform. Li C. Xue, João P. G. L. M. Rodrigues, Drena Dobbs, Vasant G. Honavar, Alexandre M. J. J. Bonvin
2017	A	`conf`	Towards Conditional Independence Test for Relational Data. UAI Sanghack Lee, Vasant G. Honavar
2016	A	`conf`	A Characterization of Markov Equivalence Classes of Relational Causal Models under Path Semantics. UAI Sanghack Lee, Vasant G. Honavar
2016	J	`jnl`	Accelerating Science: A Computing Research Agenda. CoRR Vasant G. Honavar, Mark D. Hill, Katherine A. Yelick
2016	—	`conf`	Labeling actors in multi-view social networks by integrating information from within and across multiple views. IEEE BigData Ngot Bui, Thanh Le, Vasant G. Honavar
2016	A*	`conf`	On Learning Causal Models from Relational Data. AAAI Sanghack Lee, Vasant G. Honavar
2016	—	`book`	Representing and Reasoning with Qualitative Preferences: Tools and Applications Representing and Reasoning with Qualitative Preferences Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2016	Misc	`conf`	Session Introduction. PSB Drena Dobbs, Steven E. Brenner, Vasant G. Honavar, Robert L. Jernigan, Alain Laederach, Quaid Morris
2016	J	`jnl`	Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network. IEEE Trans. Comput. Soc. Syst. Ngot Bui, John Yen, Vasant G. Honavar
2015	J	`jnl`	CRISNER: A Practically Efficient Reasoner for Qualitative Preferences. CoRR Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2015	Misc	`conf`	Discovery Informatics in Biological and Biomedical Sciences: Research Challenges and Opportunities. Pacific Symposium on Biocomputing Vasant G. Honavar
2015	—	`conf`	Learning classifiers from remote RDF data stores augmented with RDFS subclass hierarchies. IEEE BigData Harris T. Lin, Ngot Bui, Vasant G. Honavar
2015	—	`conf`	Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning. ACI@UAI Sanghack Lee, Vasant G. Honavar
2015	J	`jnl`	Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning. CoRR Sanghack Lee, Vasant G. Honavar
2015	—	`conf`	Temporal Causality of Social Support in an Online Community for Cancer Survivors. SBP Ngot Bui, John Yen, Vasant G. Honavar
2014	—	`ed.`	2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014 IEEE BigData Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne
2014	J	`jnl`	A Conceptual Framework for Secrecy-preserving Reasoning in Knowledge Bases. ACM Trans. Comput. Log. Jia Tao, Giora Slutzki, Vasant G. Honavar
2014	—	`conf`	An analysis of conformational changes upon RNA-protein binding. BCB Kannan Sankar, Rasna R. Walia, Carla M. Mann, Robert L. Jernigan, Vasant G. Honavar, Drena Dobbs
2014	J	`jnl`	Efficient Markov Network Structure Discovery Using Independence Tests. CoRR Facundo Bromberg, Dimitris Margaritis, Vasant G. Honavar
2014	—	`conf`	Labeling Actors in Social Networks Using a Heterogeneous Graph Kernel. SBP Ngot Bui, Vasant G. Honavar
2014	J	`jnl`	Representing and Reasoning with Qualitative Preferences for Compositional Systems. CoRR Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2013	A	`conf`	Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability. UAI Sanghack Lee, Vasant G. Honavar
2013	J	`jnl`	Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability. CoRR Sanghack Lee, Vasant G. Honavar
2013	—	`conf`	Clustering remote RDF data using SPARQL update queries. ICDE Workshops Letao Qi, Harris T. Lin, Vasant G. Honavar
2013	—	`conf`	Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores. BigData Congress Harris T. Lin, Vasant G. Honavar
2013	—	`conf`	Learning Classifiers from Distributional Data. BigData Congress Harris T. Lin, Sanghack Lee, Ngot Bui, Vasant G. Honavar
2013	B	`conf`	On the utility of abstraction in labeling actors in social networks. ASONAM Ngot Bui, Vasant G. Honavar
2013	—	`conf`	Preference Based Service Adaptation Using Service Substitution. Web Intelligence Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2013	—	`conf`	Transportability from Multiple Environments with Limited Experiments. NIPS Elias Bareinboim, Sanghack Lee, Vasant G. Honavar, Judea Pearl
2013	—	`conf`	Verifying Preferential Equivalence and Subsumption via Model Checking. ADT Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2013	A*	`conf`	m-Transportability: Transportability of a Causal Effect from Multiple Environments. AAAI Sanghack Lee, Vasant G. Honavar
2012	J	`jnl`	B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis. Genom. Proteom. Bioinform. Fadi Towfic, Shakti Gupta, Vasant G. Honavar, Shankar Subramaniam
2012	—	`conf`	Learning predictive models from large distributed autonomous data sources. CIDU Vasant G. Honavar
2012	—	`conf`	Model Checking of Qualitative Sensitivity Preferences to Minimize Credential Disclosure. FACS Zachary J. Oster, Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2012	J	`jnl`	PSPACE Tableau Algorithms for Acyclic Modalized $\boldsymbol{\mathcal{ALC}}$. J. Autom. Reason. Jia Tao, Giora Slutzki, Vasant G. Honavar
2012	—	`conf`	Predicting protective bacterial antigens using random forest classifiers. BCB Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
2012	J	`jnl`	Predicting protein-protein interface residues using local surface structural similarity. BMC Bioinform. Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
2012	J	`jnl`	Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. BMC Bioinform. Rasna R. Walia, Cornelia Caragea, Benjamin A. Lewis, Fadi Towfic, Michael Terribilini, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
2012	—	`conf`	Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars. EMNLP-CoNLL Kewei Tu, Vasant G. Honavar
2011	—	`conf`	Abstraction Super-Structuring Normal Forms: Towards a Theory of Structural Induction. Algorithmic Probability and Friends Adrian Silvescu, Vasant G. Honavar
2011	J	`jnl`	Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction CoRR Adrian Silvescu, Vasant G. Honavar
2011	A	`conf`	Exemplar-based Robust Coherent Biclustering. SDM Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant G. Honavar
2011	J	`jnl`	HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods. BMC Bioinform. Li C. Xue, Drena Dobbs, Vasant G. Honavar
2011	—	`conf`	Identifying Sustainable Designs Using Preferences over Sustainability Attributes. AAAI Spring Symposium: Artificial Intelligence and Sustainable Design Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2011	—	`conf`	Improving protein-RNA interface prediction by combining sequence homology based method with a naive Bayes classifier: preliminary results. BCB Li C. Xue, Rasna R. Walia, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
2011	—	`conf`	Learning Relational Bayesian Classifiers from RDF Data. ISWC (1) Harris T. Lin, Neeraj Koul, Vasant G. Honavar
2011	A	`conf`	Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies. BMVC Oksana Yakhnenko, Vasant G. Honavar
2011	A*	`conf`	On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars. IJCAI Kewei Tu, Vasant G. Honavar
2011	J	`jnl`	PRIDB: a protein-RNA interface database. Nucleic Acids Res. Benjamin A. Lewis, Rasna R. Walia, Michael Terribilini, Jeff Ferguson, Charles Zheng, Vasant G. Honavar, Drena Dobbs
2011	J	`jnl`	Predicting MHC-II Binding Affinity Using Multiple Instance Regression. IEEE ACM Trans. Comput. Biol. Bioinform. Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
2011	J	`jnl`	Predicting RNA-Protein Interactions Using Only Sequence Information. BMC Bioinform. Usha Muppirala, Vasant G. Honavar, Drena Dobbs
2011	—	`conf`	Ranking docked models of protein-protein complexes using predicted partner-specific protein-protein interfaces: a preliminary study. BCB Li C. Xue, Rafael A. Jordan, Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
2011	J	`jnl`	Representing and Reasoning with Qualitative Preferences for Compositional Systems. J. Artif. Intell. Res. Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2011	A*	`conf`	Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach. AAAI Ganesh Ram Santhanam, Yuly Suvorov, Samik Basu, Vasant G. Honavar
2010	—	`conf`	A framework for developing epitope prediction tools. BCB Yasser El-Manzalawy, Vasant G. Honavar
2010	A*	`conf`	Abstraction Augmented Markov Models. ICDM Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar
2010	A	`conf`	Automata-Based Verification of Security Requirements of Composite Web Services. ISSRE Hongyu Sun, Samik Basu, Vasant G. Honavar, Robyn R. Lutz
2010	J	`jnl`	Detection of gene orthology from gene co-expression and protein interaction networks. BMC Bioinform. Fadi Towfic, Susan VanderPlas, Casey A. Oliver, Oliver Couture, Christopher K. Tuggle, M. Heather West Greenlee, Vasant G. Honavar
2010	A*	`conf`	Dominance Testing via Model Checking. AAAI Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2010	A*	`conf`	Efficient Dominance Testing for Unconditional Preferences. KR Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2010	—	`conf`	Failure Analysis for Composition of Web Services Represented as Labeled Transition Systems. WS-FM Dinanath Nadkarni, Samik Basu, Vasant G. Honavar, Robyn R. Lutz
2010	—	`conf`	Identifying and Eliminating Inconsistencies in Mappings across Hierarchical Ontologies. OTM Conferences (2) Bhavesh Sanghvi, Neeraj Koul, Vasant G. Honavar
2010	—	`conf`	Learning in Presence of Ontology Mapping Errors. Web Intelligence Neeraj Koul, Vasant G. Honavar
2010	—	`conf`	Ontology-guided Extraction of Complex Nested Relationships. ICTAI (2) Sushain Pandit, Vasant G. Honavar
2010	—	`conf`	Scalable, updatable predictive models for sequence data. BIBM Neeraj Koul, Ngot Bui, Vasant G. Honavar
2010	—	`conf`	Secrecy-Preserving Query Answering for Instance Checking in RR Jia Tao, Giora Slutzki, Vasant G. Honavar
2010	J	`jnl`	Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models. BMC Bioinform. Cornelia Caragea, Doina Caragea, Adrian Silvescu, Vasant G. Honavar
2010	—	`conf`	Semi-supervised sequence classification using abstraction augmented Markov models. BCB Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar
2010	J	`jnl`	Struct-NB: predicting protein-RNA binding sites using structural features. Int. J. Data Min. Bioinform. Fadi Towfic, Cornelia Caragea, David C. Gemperline, Drena Dobbs, Vasant G. Honavar
2009	C	`conf`	Aligning Biomolecular Networks Using Modular Graph Kernels. WABI Fadi Towfic, M. Heather West Greenlee, Vasant G. Honavar
2009	A*	`conf`	Combining Super-Structuring and Abstraction on Sequence Classification. ICDM Adrian Silvescu, Cornelia Caragea, Vasant G. Honavar
2009	B	`conf`	Design and Implementation of a Query Planner for Data Integration. ICTAI Neeraj Koul, Vasant G. Honavar
2009	—	`conf`	Detection of Gene Orthology Based on Protein-Protein Interaction Networks. BIBM Fadi Towfic, M. Heather West Greenlee, Vasant G. Honavar
2009	J	`jnl`	Efficient Markov Network Structure Discovery Using Independence Tests. J. Artif. Intell. Res. Facundo Bromberg, Dimitris Margaritis, Vasant G. Honavar
2009	—	`ch.`	Knowledge Acquisition from Semantically Heterogeneous Data. Encyclopedia of Data Warehousing and Mining Doina Caragea, Vasant G. Honavar
2009	B	`conf`	Learning Link-Based Classifiers from Ontology-Extended Textual Data. ICTAI Cornelia Caragea, Doina Caragea, Vasant G. Honavar
2009	—	`conf`	Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. OTM Conferences (2) Cornelia Caragea, Doina Caragea, Vasant G. Honavar
2009	B	`conf`	MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. Discovery Science Yasser El-Manzalawy, Vasant G. Honavar
2009	—	`ch.`	Machine Learning in Computational Biology. Encyclopedia of Database Systems Cornelia Caragea, Vasant G. Honavar
2009	J	`jnl`	Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. BMC Bioinform. Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant G. Honavar
2009	A	`conf`	Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence. SDM Oksana Yakhnenko, Vasant G. Honavar
2009	—	`conf`	Multiple label prediction for image annotation with multiple Kernel correlation models. CVPR Workshops Oksana Yakhnenko, Vasant G. Honavar
2009	—	`ch.`	Package-Based Description Logics. Modular Ontologies Jie Bao, George Voutsadakis, Giora Slutzki, Vasant G. Honavar
2009	—	`conf`	Web Service Substitution Based on Preferences Over Non-functional Attributes. IEEE SCC Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2008	—	`conf`	Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm. ICTAI (1) Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yang, Vasant G. Honavar
2008	—	`conf`	Complexes of on-line self assembly. EIT Neeraj Koul, Jim Lathrop, Jack H. Lutz, Vasant G. Honavar
2008	—	`conf`	Composing Web Services through Automatic Reformulation of Service Specifications. IEEE SCC (1) Jyotishman Pathak, Samik Basu, Vasant G. Honavar
2008	—	`conf`	Federated ALCI: Preliminary Report. Web Intelligence George Voutsadakis, Giora Slutzki, Vasant G. Honavar, Jie Bao
2008	—	`conf`	Learning Classifiers from Large Databases Using Statistical Queries. Web Intelligence Neeraj Koul, Cornelia Caragea, Vasant G. Honavar, Vikas Bahirwani, Doina Caragea
2008	J	`jnl`	MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications. Int. J. Artif. Intell. Tools Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant G. Honavar
2008	—	`conf`	On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach. SERVICES I Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2008	A*	`conf`	On the Decidability of Role Mappings between Modular Ontologies. AAAI Jie Bao, George Voutsadakis, Giora Slutzki, Vasant G. Honavar
2008	—	`conf`	Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information. BIBM Yasser El-Manzalawy, Drena Dobbs, Vasant G. Honavar
2008	—	`ed.`	Proceedings of the 2nd International Workshop on Modular Ontologies, WoMO 2007, Whistler, Canada, October 28, 2007 WoMO Bernardo Cuenca Grau, Vasant G. Honavar, Anne Schlicht, Frank Wolter
2008	Misc	`conf`	Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. Pacific Symposium on Biocomputing Jae-Hyung Lee, Michael Hamilton, Colin Gleeson, Cornelia Caragea, Peter Zaback, Jeffry D. Sander, Li C. Xue, Feihong Wu, Michael Terribilini, Vasant G. Honavar, Drena Dobbs
2008	A	`conf`	TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences. ICSOC Ganesh Ram Santhanam, Samik Basu, Vasant G. Honavar
2008	—	`ch.`	Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data. Next Generation of Data Mining Vasant G. Honavar, Doina Caragea
2008	—	`conf`	Towards Semantics-Enabled Distributed Infrastructure for Knowledge Acquisition. AAAI Spring Symposium: Semantic Scientific Knowledge Integration Vasant G. Honavar, Doina Caragea
2008	—	`conf`	Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. ICGI Kewei Tu, Vasant G. Honavar
2008	J	`jnl`	Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable. BMC Bioinform. Myron Peto, Andrzej Kloczkowski, Vasant G. Honavar, Robert L. Jernigan
2008	—	`conf`	Using Global Sequence Similarity to Enhance Biological Sequence Labeling. BIBM Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant G. Honavar
2008	—	`ch.`	Visual Methods for Examining SVM Classifiers. Visual Data Mining Doina Caragea, Dianne Cook, Hadley Wickham, Vasant G. Honavar
2007	A*	`conf`	A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies. AAAI Jie Bao, Giora Slutzki, Vasant G. Honavar
2007	—	`conf`	Analysis of Protein Protein Dimeric Interfaces. BIBM Feihong Wu, Fadi Towfic, Drena Dobbs, Vasant G. Honavar
2007	—	`ch.`	Assembling Composite Web Services from Autonomous Components. Emerging Artificial Intelligence Applications in Computer Engineering Jyotishman Pathak, Samik Basu, Vasant G. Honavar
2007	C	`conf`	Assessing the Performance of Macromolecular Sequence Classifiers. BIBE Cornelia Caragea, Jivko Sinapov, Vasant G. Honavar, Drena Dobbs
2007	J	`jnl`	Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach. BMC Bioinform. Carson M. Andorf, Drena Dobbs, Vasant G. Honavar
2007	J	`jnl`	Glycosylation site prediction using ensembles of Support Vector Machine classifiers. BMC Bioinform. Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant G. Honavar
2007	Misc	`conf`	Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management. International Conference on Computational Science (1) James D. McCalley, Vasant G. Honavar, Sarah M. Ryan, William Q. Meeker, Daji Qiao, Ronald A. Roberts, Yuan Li, Jyotishman Pathak, Mujing Ye, Yili Hong
2007	A	`conf`	On Context-Specific Substitutability of Web Services. ICWS Jyotishman Pathak, Samik Basu, Vasant G. Honavar
2007	—	`conf`	Privacy-Preserving Reasoning on the SemanticWeb. Web Intelligence Jie Bao, Giora Slutzki, Vasant G. Honavar
2007	—	`ed.`	Proceedings of the 1st International Workshop on Modular Ontologies, WoMO'06, co-located with the International Semantic Web Conference, ISWC'06 November 5, 2006, Athens, Georgia, USA WoMO Peter Haase, Vasant G. Honavar, Oliver Kutz, York Sure, Andrei Tamilin
2007	J	`jnl`	RNABindR: a server for analyzing and predicting RNA-binding sites in proteins. Nucleic Acids Res. Michael Terribilini, Jeffry D. Sander, Jae-Hyung Lee, Peter Zaback, Robert L. Jernigan, Vasant G. Honavar, Drena Dobbs
2007	J	`jnl`	Reports on the 2006 AAAI Fall Symposia. AI Mag. Joshua Clifford Bongard, Derek P. Brock, Samuel G. Collins, Ramani Duraiswami, Tim Finin, Ian Harrison, Vasant G. Honavar, Gregory S. Hornby, Ari K. Jónsson, Mike Kassoff, David Kortenkamp, Sanjeev Kumar, Ken Murray, Alexander I. Rudnicky, Goran Trajkovski
2007	J	`jnl`	Software fault tree and coloured Petri net-based specification, design and implementation of agent-based intrusion detection systems. Int. J. Inf. Comput. Secur. Guy G. Helmer, Johnny Wong, Mark Slagell, Vasant G. Honavar, Les Miller, Yanxin Wang, Xia Wang, Natalia Stakhanova
2006	—	`conf`	A General Strategy for Knowledge Acquisition from Semantically Heterogeneous Data Sources. AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition Doina Caragea, Jie Bao, Vasant G. Honavar
2006	—	`conf`	A Service-Oriented Architecture for Electric Power Transmission System Asset Management. ICSOC Workshops Jyotishman Pathak, Yuan Li, Vasant G. Honavar, James D. McCalley
2006	—	`conf`	A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies. Web Intelligence Jie Bao, Doina Caragea, Vasant G. Honavar
2006	—	`conf`	A Tool for Collaborative Construction of Large Biological Ontologies. DEXA Workshops Jie Bao, Zhiliang Hu, Doina Caragea, James M. Reecy, Vasant G. Honavar
2006	—	`conf`	Adapt OWL as a Modular Ontology Language. OWLED Jie Bao, Vasant G. Honavar
2006	Misc	`conf`	Auto-steered Information-Decision Processes for Electric System Asset Management. International Conference on Computational Science (3) James D. McCalley, Vasant G. Honavar, Sarah M. Ryan, William Q. Meeker, Ronald A. Roberts, Daji Qiao, Yuan Li
2006	—	`conf`	Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers. HICSS Jyotishman Pathak, Yong Jiang, Vasant G. Honavar, James D. McCalley
2006	—	`conf`	Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms. WoMO Jie Bao, Vasant G. Honavar
2006	A	`conf`	Efficient Markov Network Structure Discovery using Independence Tests. SDM Facundo Bromberg, Dimitris Margaritis, Vasant G. Honavar
2006	C	`conf`	Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm. ADMA Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant G. Honavar
2006	—	`conf`	Independence, Decomposability and Functions which Take Values into an Abelian Group. AI&M Adrian Silvescu, Vasant G. Honavar
2006	B	`conf`	Learning Classifiers from Distributed, Ontology-Extended Data Sources. DaWaK Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant G. Honavar
2006	J	`jnl`	Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. Knowl. Inf. Syst. Jun Zhang, Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar
2006	—	`conf`	MoSCoE: A Framework for Modeling Web Service Composition and Execution. ICDE Workshops Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant G. Honavar
2006	A	`conf`	Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements. ICSOC Jyotishman Pathak, Samik Basu, Vasant G. Honavar
2006	—	`conf`	Modular Ontologies - A Formal Investigation of Semantics and Expressivity. ASWC Jie Bao, Doina Caragea, Vasant G. Honavar
2006	Misc	`conf`	On the Semantics of Linking and Importing in Modular Ontologies. ISWC Jie Bao, Doina Caragea, Vasant G. Honavar
2006	Misc	`conf`	Package-Based Description Logics - Preliminary Results. ISWC Jie Bao, Doina Caragea, Vasant G. Honavar
2006	—	`conf`	Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach. ECOWS Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant G. Honavar
2006	J	`jnl`	Predicting DNA-binding sites of proteins from amino acid sequence. BMC Bioinform. Changhui Yan, Michael Terribilini, Feihong Wu, Robert L. Jernigan, Drena Dobbs, Vasant G. Honavar
2006	B	`conf`	RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. PAKDD Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar
2006	—	`conf`	Representing and Reasoning with Modular Ontologies. AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition Jie Bao, Vasant G. Honavar
2006	B	`conf`	Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications. ICTAI Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant G. Honavar
2006	—	`ed.`	Semantic Web for Collaborative Knowledge Acquisition, Papers from the 2006 AAAI Fall Symposium, Washington, DC, USA, October 13-15, 2006. AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition Vasant G. Honavar, Tim Finin
2006	B	`conf`	TRIPPER: Rule Learning Using Taxonomies. PAKDD Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar
2006	—	`conf`	Towards Collaborative Environments for Ontology Construction and Sharing. CTS Jie Bao, Doina Caragea, Vasant G. Honavar
2006	J	`jnl`	Towards the automatic generation of mobile agents for distributed intrusion detection system. J. Syst. Softw. Yanxin Wang, Smruti Ranjan Behera, Johnny Wong, Guy G. Helmer, Vasant G. Honavar, Les Miller, Robyn R. Lutz, Mark Slagell
2005	—	`conf`	A framework for semantic web services discovery. WIDM Jyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant G. Honavar
2005	B	`conf`	Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. ALT Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar
2005	B	`conf`	Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. Discovery Science Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant G. Honavar
2005	A*	`conf`	Discriminatively Trained Markov Model for Sequence Classification. ICDM Oksana Yakhnenko, Adrian Silvescu, Vasant G. Honavar
2005	J	`jnl`	Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data CoRR Michael Terribilini, Jae-Hyung Lee, Changhui Yan, Robert L. Jernigan, Susan Carpenter, Vasant G. Honavar, Drena Dobbs
2005	—	`conf`	Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. DILS Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar
2005	—	`conf`	Information Integration from Semantically Heterogeneous Biological Data Sources. DEXA Workshops Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant G. Honavar
2005	—	`conf`	Learning Classifiers Using Hierarchically Structured Class Taxonomies. SARA Feihong Wu, Jun Zhang, Vasant G. Honavar
2005	C	`conf`	Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation. ISI Dae-Ki Kang, Doug Fuller, Vasant G. Honavar
2005	B	`conf`	Learning Ontology-Aware Classifiers. Discovery Science Jun Zhang, Doina Caragea, Vasant G. Honavar
2005	A*	`conf`	Learning Support Vector Machines from Distributed Data Sources. AAAI Cornelia Caragea, Doina Caragea, Vasant G. Honavar
2005	—	`conf`	Multinomial Event Model Based Abstraction for Sequence and Text Classification. SARA Dae-Ki Kang, Jun Zhang, Adrian Silvescu, Vasant G. Honavar
2004	J	`jnl`	A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. Int. J. Hybrid Intell. Syst. Doina Caragea, Adrian Silvescu, Vasant G. Honavar
2004	—	`conf`	A two-stage classifier for identification of protein-protein interface residues. ISMB/ECCB (Supplement of Bioinformatics) Changhui Yan, Drena Dobbs, Vasant G. Honavar
2004	A*	`conf`	AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data. ICDM Jun Zhang, Vasant G. Honavar
2004	—	`conf`	Collaborative Ontology Building with Wiki@nt - A Multi-agent Based Ontology Building Environment. EON Jie Bao, Vasant G. Honavar
2004	B	`conf`	Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data. Discovery Science Jinu Joo, Jun Zhang, Jihoon Yang, Vasant G. Honavar
2004	A*	`conf`	Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. ICDM Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant G. Honavar
2004	J	`jnl`	Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach. Neural Comput. Appl. Changhui Yan, Vasant G. Honavar, Drena Dobbs
2004	Misc	`conf`	Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation. IKE Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant G. Honavar
2004	—	`conf`	Learning Classifiers from Semantically Heterogeneous Data. CoopIS/DOA/ODBASE (2) Doina Caragea, Jyotishman Pathak, Vasant G. Honavar
2004	—	`conf`	Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components. SWDB Jyotishman Pathak, Doina Caragea, Vasant G. Honavar
2004	J	`jnl`	Predicting binding sites of hydrolase-inhibitor complexes by combining several methods. BMC Bioinform. Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jernigan, Changhui Yan, Vasant G. Honavar, Kai-Ming Ho, Cai-Zhuang Wang, Yungok Ihm, Haibo Cao, Xun Gu, Drena Dobbs
2003	B	`conf`	A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments. ILP Anna Atramentov, Hector Leiva, Vasant G. Honavar
2003	J	`jnl`	Automated data-driven discovery of motif-based protein function classifiers. Inf. Sci. Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant G. Honavar
2003	Misc	`conf`	Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach. IRI Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant G. Honavar
2003	—	`conf`	Learning Decision Trees form Distributed Heterogeneous Autonomous Data. MAICS Doina Caragea, Adrian Silvescu, Vasant G. Honavar
2003	A*	`conf`	Learning from Attribute Value Taxonomies and Partially Specified Instances. ICML Jun Zhang, Vasant G. Honavar
2003	J	`jnl`	Lightweight agents for intrusion detection. J. Syst. Softw. Guy G. Helmer, Johnny S. Wong, Vasant G. Honavar, Les Miller, Yanxin Wang
2003	—	`conf`	Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. IIWeb Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant G. Honavar
2003	A*	`conf`	Towards Simple, Easy-to-Understand, yet Accurate Classifiers. ICDM Doina Caragea, Dianne Cook, Vasant G. Honavar
2002	J	`jnl`	A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System. Requir. Eng. Guy G. Helmer, Johnny S. Wong, Mark Slagell, Vasant G. Honavar, Les Miller, Robyn R. Lutz
2002	J	`jnl`	Automated discovery of concise predictive rules for intrusion detection. J. Syst. Softw. Guy G. Helmer, Johnny S. Wong, Vasant G. Honavar, Les Miller
2002	—	`conf`	Data-Driven Discovery of Protein Function Classifiers: Decision Trees Based on MEME Motifs outperform PROSITE Patterns and Profiles on Peptidase Families. JCIS Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant G. Honavar
2002	—	`conf`	Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences. JCIS Carson M. Andorf, Drena Dobbs, Vasant G. Honavar
2002	A	`ed.`	GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002 GECCO William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant G. Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska
2002	—	`conf`	Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. SARA Jun Zhang, Adrian Silvescu, Vasant G. Honavar
2002	—	`ed.`	Proceedings of the 6th Joint Conference on Information Science, March 8-13, 2002, Research Triangle Park, North Carolina, USA H. John Caulfield, Shu-Heng Chen, Heng-Da Cheng, Richard J. Duro, Vasant G. Honavar, Etienne E. Kerre, Mi Lu, Manuel Graña Romay, Timothy K. Shih, Dan Ventura, Paul P. Wang, Yuanyuan Yang
2001	—	`conf`	Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. Emergent Neural Computational Architectures Based on Neuroscience Doina Caragea, Adrian Silvescu, Vasant G. Honavar
2001	J	`jnl`	Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks. J. Syst. Softw. Armin R. Mikler, Vasant G. Honavar, Johnny S. Wong
2001	Misc	`conf`	Detection and identification of odorants using an electronic nose. ICASSP Robi Polikar, Ruth Shinar, Vasant G. Honavar, Lalita Udpa, Marc D. Porter
2001	A*	`conf`	Gaining insights into support vector machine pattern classifiers using projection-based tour methods. KDD Doina Caragea, Dianne Cook, Vasant G. Honavar
2001	J	`jnl`	Introduction. Mach. Learn. Vasant G. Honavar, Colin de la Higuera
2001	J	`jnl`	Learn++: an incremental learning algorithm for supervised neural networks. IEEE Trans. Syst. Man Cybern. Part C Robi Polikar, L. Upda, S. S. Upda, Vasant G. Honavar
2001	J	`jnl`	Learning DFA from Simple Examples. Mach. Learn. Rajesh Parekh, Vasant G. Honavar
2001	J	`jnl`	SMART mobile agent facility. J. Syst. Softw. Johnny Wong, Guy G. Helmer, Venkatraman Naganathan, Sriniwas Polavarapu, Vasant G. Honavar, Les Miller
2001	J	`jnl`	Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series. Complex Syst. Adrian Silvescu, Vasant G. Honavar
2000	—	`conf`	A Negotiation Model in Agent-mediated Electronic Commerce. ISMSE Mokdong Chug, Vasant G. Honavar
2000	J	`jnl`	An empirical comparison of the performance so single-layer algorithms for training threshold logic units. Neural Parallel Sci. Comput. Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
2000	J	`jnl`	Constructive neural-network learning algorithms for pattern classification. IEEE Trans. Neural Networks Learn. Syst. Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
2000	—	`conf`	Incremental and Distributed Learning with Support Vector Machines. AAAI/IAAI Doina Caragea, Adrian Silvescu, Vasant G. Honavar
2000	Misc	`conf`	LEARN++: an incremental learning algorithm for multilayer perceptron networks. ICASSP Robi Polikar, Lalita Udpa, Satish S. Udpa, Vasant G. Honavar
2000	—	`conf`	On the Relationship between Models for Learning in Helpful Environments. ICGI Rajesh Parekh, Vasant G. Honavar
2000	—	`conf`	Supporting organizational knowledge management with agents. IRMA Conference Prashant Pai, Leslie L. Miller, Vasant G. Honavar, Johnny Wong, Sree Nilakanta
1999	J	`jnl`	A neural-network architecture for syntax analysis. IEEE Trans. Neural Networks Chun-Hsien Chen, Vasant G. Honavar
1999	B	`conf`	Data-Driven Theory Refinement Using IDA Jihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs
1999	B	`conf`	Data-driven theory refinement algorithms for bioinformatics. IJCNN Jihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs
1999	J	`jnl`	DistAl: An inter-pattern distance-based constructive learning algorithm. Intell. Data Anal. Jihoon Yang, Rajesh Parekh, Vasant G. Honavar
1999	A	`conf`	Feature Selection Using a Genetic Algorithm for Intrusion Detection. GECCO Guy G. Helmer, Johnny S. Wong, Vasant G. Honavar, Les Miller
1999	J	`jnl`	Integration of cognitive systems across disciplinary boundaries. Cogn. Syst. Res. Ron Sun, Vasant G. Honavar, Gregg C. Oden
1999	A	`ed.`	Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA GECCO Wolfgang Banzhaf, Jason M. Daida, A. E. Eiben, Max H. Garzon, Vasant G. Honavar, Mark J. Jakiela, Robert E. Smith
1999	A*	`conf`	Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples. ICML Rajesh Parekh, Vasant G. Honavar
1999	J	`jnl`	Spatial Learning and Localization in Rodents: A Computational Model of the Hippocampus and its Implications for Mobile Robots. Adapt. Behav. Karthik Balakrishnan, Olivier Bousquet, Vasant G. Honavar
1998	—	`conf`	A Polynominal Time Incremental Algorithm for Learning DFA. ICGI Rajesh Parekh, Codrin M. Nichitiu, Vasant G. Honavar
1998	J	`jnl`	An object oriented approach to simulating large communication networks. J. Syst. Softw. Armin R. Mikler, Johnny S. K. Wong, Vasant G. Honavar
1998	J	`jnl`	Feature Subset Selection Using a Genetic Algorithm. IEEE Intell. Syst. Jihoon Yang, Vasant G. Honavar
1998	—	`ed.`	Grammatical Inference, 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings ICGI Vasant G. Honavar, Giora Slutzki
1997	B	`conf`	Learning DFA from Simple Examples. ALT Rajesh Parekh, Vasant G. Honavar
1997	—	`conf`	MUpstart-a constructive neural network learning algorithm for multi-category pattern classification. ICNN Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
1997	—	`conf`	Pruning strategies for the MTiling constructive learning algorithm. ICNN Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
1997	J	`jnl`	Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks. J. Syst. Softw. Armin R. Mikler, Johnny S. Wong, Vasant G. Honavar
1996	—	`conf`	An Incremental Interactive Algorithm for Regular Grammar Inference. AAAI/IAAI, Vol. 2 Rajesh Parekh, Vasant G. Honavar
1996	—	`conf`	An incremental interactive algorithm for grammar inference. ICGI Rajesh Parekh, Vasant G. Honavar
1996	—	`conf`	Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing. AAAI/IAAI, Vol. 1 Armin R. Mikler, Vasant G. Honavar, Johnny S. Wong
1996	—	`conf`	Constructive Neural Network Learning Algorithms. AAAI/IAAI, Vol. 2 Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
1996	—	`conf`	Experiments in Evolutionary Synthesis of Robotic Neurocontrollers. AAAI/IAAI, Vol. 2 Karthik Balakrishnan, Vasant G. Honavar
1995	J	`jnl`	A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications. Connect. Sci. Chun-Hsien Chen, Vasant G. Honavar
1993	J	`jnl`	Generative learning structures and processes for generalized connectionist networks. Inf. Sci. Vasant G. Honavar, Leonard Uhr
1992	J	`jnl`	Neural Network Design and the Complexity of Learning (Book Review). Mach. Learn. Vasant G. Honavar
1990	J	`jnl`	Coordination and control structures and processes: possibilities for connectionist networks (CN). J. Exp. Theor. Artif. Intell. Vasant G. Honavar, Leonard Uhr
1989	A*	`conf`	Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks. IJCAI Vasant G. Honavar, Leonard Uhr