| 2025 | SDM | Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data. | Majid Farhadloo, Arun Sharma, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar |
| 2024 | SDM | Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. | Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar |
| 2018 | LREC | Gaining and Losing Influence in Online Conversation. | Arun Sharma, Tomek Strzalkowski |
| 2016 | NSDI | Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks. | Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Alessandro Presta, Aaron Adcock, Herald Kllapi, Michael Stumm |
| 2005 | COLT | On a Syntactic Characterization of Classification with a Mind Change Bound. | Eric Martin, Arun Sharma |
| 2004 | ALT | On the Data Consumption Benefits of Accepting Increased Uncertainty. | Eric Martin, Arun Sharma, Frank Stephan |
| 2004 | APWEB | Web Searching and S 2 Queries. | Arun Sharma |
| 2004 | ICINCO | Visual Hand Movements for Machine ControL. | Sanjay Kumar, Dinesh Kant Kumar, Arun Sharma |
| 2004 | MMM | Visual Hand Gestures Classification Using Temporal Motion Templates and Wavelet Transforms. | Sanjay Kumar, Dinesh Kant Kumar, Arun Sharma, Neil McLachlan |
| 2004 | MMM | Visual Hand Gestures Classification Using Temporal Motion Templates. | Sanjay Kumar, Dinesh Kant Kumar, Arun Sharma, Neil McLachlan |
| 2004 | MMM | Wavelet Directional Histograms for Classification of Human Gestures Represented by Spatio-Temporal Templates. | Arun Sharma, Dinesh Kant Kumar, Sanjay Kumar, Neil McLachlan |
| 2004 | MMM | Recognition of Human Actions Using Moment Based Features and Artificial Neural Networks. | Arun Sharma, Dinesh Kant Kumar, Sanjay Kumar, Neil McLachlan |
| 2003 | ALT | On Ordinal VC-Dimension and Some Notions of Complexity. | Eric Martin, Arun Sharma, Frank Stephan |
| 2002 | ALT | Learning, Logic, and Topology in a Common Framework. | Eric Martin, Arun Sharma, Frank Stephan |
| 2002 | ICLP | Learning in Logic with RichProlog. | Eric Martin, Phuong Nguyen, Arun Sharma, Frank Stephan |
| 2001 | DIS | A General Theory of Deduction, Induction, and Learning. | Eric Martin, Arun Sharma, Frank Stephan |
| 1999 | ALT | The VC-Dimension of Subclasses of Pattern. | Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan |
| 1999 | COLT | On a Generalized Notion of Mistake Bounds. | Sanjay Jain, Arun Sharma |
| 1999 | ILP | On Sufficient Conditions for Learnability of Logic Programs from Positive Data. | Eric Martin, Arun Sharma |
| 1998 | ALT | Predictive Learning Models for Concept Drift. | John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan |
| 1998 | ALT | Learning to Win Process-Control Games Watching Game-Masters. | John Case, Matthias Ott, Arun Sharma, Frank Stephan |
| 1998 | ALT | LIME: A System for Learning Relations. | Eric McCreath, Arun Sharma |
| 1998 | COLT | Robust Learning Aided by Context. | John Case, Sanjay Jain, Matthias Ott, Arun Sharma, Frank Stephan |
| 1997 | ALT | Synthesizing Noise-Tolerant Language Learners. | John Case, Sanjay Jain, Arun Sharma |
| 1997 | COLT | Generalized Notions of Mind Change Complexity. | Arun Sharma, Frank Stephan, Yuri Ventsov |
| 1997 | IJCAI | ILP with Noise and Fixed Example Size: A Bayesian Approach. | Eric McCreath, Arun Sharma |
| 1997 | STACS | On the Classification of Computable Languages. | John Case, Efim B. Kinber, Arun Sharma, Frank Stephan |
| 1996 | COLT | Elementary Formal Systems, Intrinsic Complexity, and Procrastination. | Sanjay Jain, Arun Sharma |
| 1996 | ICCD | The Augmint multiprocessor simulation toolkit for Intel x86 architectures. | Anthony-Trung Nguyen, Maged M. Michael, Arun Sharma, Josep Torrellas |
| 1996 | PRICAI | Team Learning of Recursive Languages. | Sanjay Jain, Arun Sharma |
| 1995 | ALT | Machine Induction Without Revolutionary Paradigm Shifts. | John Case, Sanjay Jain, Arun Sharma |
| 1994 | ALT | On Monotonic Strategies for Learning r.e. Languages. | Sanjay Jain, Arun Sharma |
| 1994 | COLT | On the Intrinsic Complexity of Language Identification. | Sanjay Jain, Arun Sharma |
| 1993 | ALT | On Aggregating Teams of Learning Machines. | Sanjay Jain, Arun Sharma |
| 1993 | COLT | Probability is More Powerful Than Team for Language Identification from Positive Data. | Sanjay Jain, Arun Sharma |
| 1992 | ALT | Prudence in Vacillatory Language Identification (Extended Abstract). | Sanjay Jain, Arun Sharma |
| 1992 | COLT | On Learning Limiting Programs. | John Case, Sanjay Jain, Arun Sharma |
| 1990 | ALT | Anomalous Learning Helps Succinctness (Extended Abstract). | John Case, Sanjay Jain, Arun Sharma |
| 1990 | COLT | Finite Learning by a "Team". | Sanjay Jain, Arun Sharma |
| 1990 | ICALP | Language Learning by a "Team" (Extended Abstract). | Sanjay Jain, Arun Sharma |
| 1990 | TARK | Hypothesis Formation and Language Acquisition with an Infinitely-Often Correct Teacher. | Sanjay Jain, Arun Sharma |
| 1989 | COLT | Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. | Sanjay Jain, Arun Sharma, John Case |