| 2024 | AAAI | A General Search-Based Framework for Generating Textual Counterfactual Explanations. | Daniel Gilo, Shaul Markovitch |
| 2023 | EMNLP | Interpreting Embedding Spaces by Conceptualization. | Adi Simhi, Shaul Markovitch |
| 2020 | ACL | A Two-Stage Masked LM Method for Term Set Expansion. | Guy Kushilevitz, Shaul Markovitch, Yoav Goldberg |
| 2020 | IJCAI | Textual Membership Queries. | Jonathan Zarecki, Shaul Markovitch |
| 2017 | CoNLL | Named Entity Disambiguation for Noisy Text. | Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy |
| 2015 | IJCAI | Algorithmic Exam Generation. | Omer Geiger, Shaul Markovitch |
| 2012 | AAAI | Teaching Machines to Learn by Metaphors. | Omer Levy, Shaul Markovitch |
| 2012 | AAAI | Concept-Based Approach to Word-Sense Disambiguation. | Ariel Raviv, Shaul Markovitch |
| 2012 | ACCV | One-Class Background Model. | Assaf Glazer, Michael Lindenbaum, Shaul Markovitch |
| 2012 | ECCV | Learning Implicit Transfer for Person Re-identification. | Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch |
| 2012 | ICPR | Feature shift detection. | Assaf Glazer, Michael Lindenbaum, Shaul Markovitch |
| 2012 | WWW | Learning causality for news events prediction. | Kira Radinsky, Sagie Davidovich, Shaul Markovitch |
| 2011 | IJCAI | Max-Prob: An Unbiased Rational Decision Making Procedure for Multiple-Adversary Environments. | Anat Hashavit, Shaul Markovitch |
| 2011 | WWW | A word at a time: computing word relatedness using temporal semantic analysis. | Kira Radinsky, Eugene Agichtein, Evgeniy Gabrilovich, Shaul Markovitch |
| 2010 | AAAI | To Max or Not to Max: Online Learning for Speeding Up Optimal Planning. | Carmel Domshlak, Erez Karpas, Shaul Markovitch |
| 2008 | AAAI | Concept-Based Feature Generation and Selection for Information Retrieval. | Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch |
| 2007 | IJCAI | Occam's Razor Just Got Sharper. | Saher Esmeir, Shaul Markovitch |
| 2007 | IJCAI | Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis. | Evgeniy Gabrilovich, Shaul Markovitch |
| 2006 | AAAI | Anytime Induction of Decision Trees: An Iterative Improvement Approach. | Saher Esmeir, Shaul Markovitch |
| 2006 | AAAI | When a Decision Tree Learner Has Plenty of Time. | Saher Esmeir, Shaul Markovitch |
| 2006 | AAAI | Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge. | Evgeniy Gabrilovich, Shaul Markovitch |
| 2006 | AAAI | Active Learning with Near Misses. | Nela Gurevich, Shaul Markovitch, Ehud Rivlin |
| 2005 | IJCAI | Feature Generation for Text Categorization Using World Knowledge. | Evgeniy Gabrilovich, Shaul Markovitch |
| 2005 | IJCAI | The COMPSET Algorithm for Subset Selection. | Yaniv Hamo, Shaul Markovitch |
| 2004 | ICML | Lookahead-based algorithms for anytime induction of decision trees. | Saher Esmeir, Shaul Markovitch |
| 2004 | ICML | Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5. | Evgeniy Gabrilovich, Shaul Markovitch |
| 2004 | SIGIR | Parameterized generation of labeled datasets for text categorization based on a hierarchical directory. | Dmitry Davidov, Evgeniy Gabrilovich, Shaul Markovitch |
| 2002 | AAAI | Multiple-Goal Search Algorithms and their Application to Web Crawling. | Dmitry Davidov, Shaul Markovitch |
| 2002 | AAAI | Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Independent Processes. | Lev Finkelstein, Shaul Markovitch, Ehud Rivlin |
| 1999 | AAAI | Selective Sampling for Nearest Neighbor Classifiers. | Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov |
| 1998 | AAAI | Learning Investment Functions for Controlling the Utility of Control Knowledge. | Oleg Ledeniov, Shaul Markovitch |
| 1997 | IJCAI | Exploration and Adaptation in Multiagent Systems: A Model-based Approach. | David Carmel, Shaul Markovitch |
| 1996 | AAAI | Learning Models of Intelligent Agents. | David Carmel, Shaul Markovitch |
| 1996 | AAAI | Incorporating Opponent Models into Adversary Search. | David Carmel, Shaul Markovitch |
| 1995 | IJCAI | Opponent Modeling in Multi-Agent Systems. | David Carmel, Shaul Markovitch |
| 1993 | ACL | Contextual Word Similarity and Estimation from Sparse Data. | Ido Dagan, Shaul Marcus, Shaul Markovitch |
| 1993 | IJCAI | Learning of Resource Allocation Strategies for Game Playing. | Shaul Markovitch, Yaron Sella |
| 1989 | ICML | Information Filters and Their Implementation in the SYLLOG System. | Shaul Markovitch, Paul D. Scott |
| 1989 | ICML | Uncertainty Based Selection of Learning Experiences. | Paul D. Scott, Shaul Markovitch |
| 1989 | IJCAI | Utilization Filtering: A Method for Reducing the Inherent Harmfulness of Deductively Learned Knowledge. | Shaul Markovitch, Paul D. Scott |
| 1989 | IJCAI | Learning Novel Domains Through Curiosity and Conjecture. | Paul D. Scott, Shaul Markovitch |
| 1988 | ICML | The Role of Forgetting in Learning. | Shaul Markovitch, Paul D. Scott |