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Guy Shani
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- affiliation: Ben-Gurion University of the Negev, Israel
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Journal Articles
- 2023
- [j35]Lera Shtutland, Dorin Shmaryahu, Ronen I. Brafman, Guy Shani:
Unavoidable deadends in deterministic partially observable contingent planning. Auton. Agents Multi Agent Syst. 37(1): 3 (2023) - 2022
- [j34]Tommy Hefner, Guy Shani, Roni Stern:
Privacy preserving planning in multi-agent stochastic environments. Auton. Agents Multi Agent Syst. 36(1): 22 (2022) - [j33]Rotem Lev Lehman, Guy Shani, Roni Stern:
Reducing disclosed dependencies in privacy preserving planning. Auton. Agents Multi Agent Syst. 36(2): 52 (2022) - [j32]Sivan Yogev, Guy Shani, Noam Tractinsky:
HiveRel: hexagons visualization for relationship-based knowledge acquisition. CCF Trans. Pervasive Comput. Interact. 4(4): 408-436 (2022) - [j31]Amir Olswang, Tom Gonda, Rami Puzis, Guy Shani, Bracha Shapira, Noam Tractinsky:
Prioritizing vulnerability patches in large networks. Expert Syst. Appl. 193: 116467 (2022) - 2021
- [j30]Shlomi Maliah, Guy Shani:
Using POMDPs for learning cost sensitive decision trees. Artif. Intell. 292: 103400 (2021) - [j29]Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger:
Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). Dagstuhl Manifestos 9(1): 43-61 (2021) - [j28]Shani T. Gal-Oz, Nimrod Haiat, Dana Eliyahu, Guy Shani, Tal Shay:
DoChaP: the domain change presenter. Nucleic Acids Res. 49(Webserver-Issue): 162-168 (2021) - [j27]Dorin Shmaryahu, Kobi Gal, Guy Shani:
Supervisor-Worker Problems with an Application in Education. Sensors 21(6): 1965 (2021) - [j26]Shlomi Maliah, Radimir Komarnitsky, Guy Shani:
Computing Contingent Plan Graphs using Online Planning. ACM Trans. Auton. Adapt. Syst. 16(1): 1:1-1:30 (2021) - 2020
- [j25]Adar Vit, Guy Shani, Aharon Bar-Hillel:
Length phenotyping with interest point detection. Comput. Electron. Agric. 176: 105629 (2020) - 2019
- [j24]Dorin Shmaryahu, Guy Shani, Jörg Hoffmann:
Comparative criteria for partially observable contingent planning. Auton. Agents Multi Agent Syst. 33(5): 481-517 (2019) - [j23]Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira:
A difficulty ranking approach to personalization in E-learning. Int. J. Hum. Comput. Stud. 130: 261-272 (2019) - [j22]Sagi Bazinin, Guy Shani:
Investigating Recommendation Algorithms for Escape Rooms. Vietnam. J. Comput. Sci. 6(4): 377-388 (2019) - 2018
- [j21]Shlomi Maliah, Guy Shani, Ronen I. Brafman:
Landmark-based heuristic online contingent planning. Auton. Agents Multi Agent Syst. 32(5): 602-634 (2018) - [j20]Shlomi Maliah, Guy Shani, Roni Stern:
Action dependencies in privacy-preserving multi-agent planning. Auton. Agents Multi Agent Syst. 32(6): 779-821 (2018) - [j19]Adi Stein, Yair Yotam, Rami Puzis, Guy Shani, Meirav Taieb-Maimon:
EEG-triggered dynamic difficulty adjustment for multiplayer games. Entertain. Comput. 25: 14-25 (2018) - [j18]Adar Vit, Guy Shani:
Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping. Sensors 18(12): 4413 (2018) - 2017
- [j17]Shlomi Maliah, Guy Shani, Roni Stern:
Collaborative privacy preserving multi-agent planning - Planners and heuristics. Auton. Agents Multi Agent Syst. 31(3): 493-530 (2017) - [j16]Shlomi Maliah, Rami Puzis, Guy Shani:
Shortest path tree sampling for landmark selection in large networks. J. Complex Networks 5(5): 795-815 (2017) - 2016
- [j15]Ronen I. Brafman, Guy Shani:
Online belief tracking using regression for contingent planning. Artif. Intell. 241: 131-152 (2016) - [j14]Ido Blank, Lior Rokach, Guy Shani:
Leveraging metadata to recommend keywords for academic papers. J. Assoc. Inf. Sci. Technol. 67(12): 3073-3091 (2016) - [j13]David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira:
Anytime Algorithms for Recommendation Service Providers. ACM Trans. Intell. Syst. Technol. 7(3): 43:1-43:26 (2016) - 2014
- [j12]Guy Shani:
Task-Based Decomposition of Factored POMDPs. IEEE Trans. Cybern. 44(2): 208-216 (2014) - 2013
- [j11]Guy Shani, Joelle Pineau, Robert Kaplow:
A survey of point-based POMDP solvers. Auton. Agents Multi Agent Syst. 27(1): 1-51 (2013) - [j10]Guy Shani, Asela Gunawardana:
Tutorial on application-oriented evaluation of recommendation systems. AI Commun. 26(2): 225-236 (2013) - [j9]Guy Shani, Lior Rokach, Bracha Shapira, Sarit Hadash, Moran Tangi:
Investigating confidence displays for top-N recommendations. J. Assoc. Inf. Sci. Technol. 64(12): 2548-2563 (2013) - 2012
- [j8]Christopher Raphael, Guy Shani:
The Skyline algorithm for POMDP value function pruning. Ann. Math. Artif. Intell. 65(1): 61-77 (2012) - [j7]Ronen I. Brafman, Guy Shani:
Replanning in Domains with Partial Information and Sensing Actions. J. Artif. Intell. Res. 45: 565-600 (2012) - 2011
- [j6]Guy Shani, Asela Gunawardana, Christopher Meek:
Unsupervised hierarchical probabilistic segmentation of discrete events. Intell. Data Anal. 15(4): 483-501 (2011) - 2010
- [j5]Guy Shani:
Evaluating Point-Based POMDP Solvers on Multicore Machines. IEEE Trans. Syst. Man Cybern. Part B 40(4): 1062-1074 (2010) - 2009
- [j4]Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou:
AAAI 2008 Workshop Reports. AI Mag. 30(1): 108-118 (2009) - [j3]Asela Gunawardana, Guy Shani:
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks. J. Mach. Learn. Res. 10: 2935-2962 (2009) - 2008
- [j2]Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony:
Prioritizing Point-Based POMDP Solvers. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1592-1605 (2008) - 2005
- [j1]Guy Shani, David Heckerman, Ronen I. Brafman:
An MDP-Based Recommender System. J. Mach. Learn. Res. 6: 1265-1295 (2005)
Conference and Workshop Papers
- 2024
- [c66]Guy Shani:
Heuristics for Partially Observable Stochastic Contingent Planning. ECAI 2024: 4124-4131 - 2023
- [c65]Bar Shofer, Guy Shani, Roni Stern:
Multi Agent Path Finding under Obstacle Uncertainty. ICAPS 2023: 402-410 - [c64]Guy Shani, Moti Freiman, Yosef E. Maruvka:
An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images. CLIP/FAIMI/EPIMI@MICCAI 2023: 81-88 - [c63]Amit Sultan, Avi Segal, Guy Shani, Darlene Cavalier, Kobi Gal:
Online Evaluation of Tail Project Boosting in Citizen Science. ECAI 2023: 3233-3240 - [c62]Oded Blumenthal, Guy Shani:
Rollout Heuristics for Online Stochastic Contingent Planning. AREA@ECAI 2023: 89-101 - 2022
- [c61]Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman:
Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings. ECCV Workshops (3) 2022: 454-465 - [c60]Amit Sultan, Avi Segal, Guy Shani, Ya'akov (Kobi) Gal:
Addressing Popularity Bias in Citizen Science. GoodIT 2022: 17-23 - [c59]Eliran Abdoo, Ronen I. Brafman, Guy Shani, Nitsan Soffair:
Team-Imitate-Synchronize for Solving Dec-POMDPs. ECML/PKDD (4) 2022: 216-232 - [c58]Elad Levy, Guy Shani, Roni Stern:
An Online Approach for Multi-Agent Path Finding Under Movement Uncertainty (Extended Abstract). SOCS 2022: 299-301 - [c57]Daniel Ben Zaken, Avi Segal, Darlene Cavalier, Guy Shani, Kobi Gal:
Generating Recommendations with Post-Hoc Explanations for Citizen Science. UMAP 2022: 69-78 - 2021
- [c56]Shashank Shekhar, Ronen I. Brafman, Guy Shani:
Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability. AAAI 2021: 11954-11961 - [c55]Daniel Ben Zaken, Kobi Gal, Guy Shani, Avi Segal, Darlene Cavalier:
Intelligent Recommendations for Citizen Science. AAAI 2021: 14693-14701 - [c54]Rotem Lev Lehman, Guy Shani, Roni Stern:
Partial Disclosure of Private Dependencies in Privacy Preserving Planning. AAMAS 2021: 1575-1577 - 2020
- [c53]Guy Shani, Roni Stern, Tommy Hefner:
Privacy Preserving Planning in Stochastic Environments. ICAPS 2020: 258-262 - [c52]Naama Dayan, Kobi Gal, Avi Segal, Guy Shani, Darlene Cavalier:
Intelligent Recommendations for Citizen Science. ComplexRec-ImpactRS@RecSys 2020 - [c51]Dorin Shmaryahu, Guy Shani, Bracha Shapira:
Post-hoc Explanations for Complex Model Recommendations using Simple Methods. IntRS@RecSys 2020: 26-36 - 2019
- [c50]Shashank Shekhar, Ronen I. Brafman, Guy Shani:
A Factored Approach to Deterministic Contingent Multi-Agent Planning. ICAPS 2019: 419-427 - [c49]Dorin Shmaryahu, Jörg Hoffmann, Guy Shani:
Comparative Criteria for Partially Observable Contingent Planning. AAMAS 2019: 1740-1742 - [c48]Adar Vit, Guy Shani, Aharon Bar-Hillel:
Length Phenotyping With Interest Point Detection. CVPR Workshops 2019: 2609-2618 - [c47]Shir Frumerman, Guy Shani, Bracha Shapira, Oren Sar Shalom:
Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. UMAP 2019: 157-165 - 2018
- [c46]Shlomi Maliah, Guy Shani:
MDP-Based Cost Sensitive Classification Using Decision Trees. AAAI 2018: 3746-3753 - [c45]Dorin Shmaryahu, Guy Shani, Jörg Hoffmann, Marcel Steinmetz:
Simulated Penetration Testing as Contingent Planning. ICAPS 2018: 241-249 - [c44]Maayan Hassidim, Guy Shani, Tal Shay:
Cluster Switches in Gene Expression Data. BIBM 2018: 1788-1795 - [c43]Sagi Bazinin, Guy Shani:
Iterative Planning for Deterministic QDec-POMDPs. GCAI 2018: 15-28 - [c42]Tom Gonda, Tal Pascal, Rami Puzis, Guy Shani, Bracha Shapira:
Analysis of Attack Graph Representations for Ranking Vulnerability Fixes. GCAI 2018: 215-228 - [c41]Guy Shani:
Advances and Challenges in Privacy Preserving Planning. IJCAI 2018: 5719-5723 - 2017
- [c40]Shlomi Maliah, Ronen I. Brafman, Guy Shani:
Increased Privacy with Reduced Communication in Multi-Agent Planning. ICAPS 2017: 209-217 - [c39]Sivan Yogev, Guy Shani, Noam Tractinsky:
HiveRel: Towards Focused Knowledge Acquisition. ESIDA@IUI 2017: 17-24 - 2016
- [c38]Radimir Komarnitsky, Guy Shani:
Computing Contingent Plans Using Online Replanning. AAAI 2016: 3159-3165 - [c37]Shlomi Maliah, Guy Shani, Ronen I. Brafman:
Online Macro Generation for Privacy Preserving Planning. ICAPS 2016: 216-220 - [c36]Shlomi Maliah, Guy Shani, Roni Stern:
Stronger Privacy Preserving Projections for Multi-Agent Planning. ICAPS 2016: 221-229 - 2015
- [c35]David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani:
Fast Item-Based Collaborative Filtering. ICAART (2) 2015: 457-463 - 2014
- [c34]Shlomi Maliah, Ronen I. Brafman, Erez Karpas, Guy Shani:
Partially Observable Online Contingent Planning Using Landmark Heuristics. ICAPS 2014 - [c33]Ronen I. Brafman, Guy Shani:
On The Properties of Belief Tracking for Online Contingent Planning using Regression. ECAI 2014: 147-152 - [c32]Shlomi Maliah, Guy Shani, Roni Stern:
Privacy Preserving Landmark Detection. ECAI 2014: 597-602 - [c31]Avi Segal, Ziv Katzir, Kobi Gal, Guy Shani, Bracha Shapira:
EduRank: A Collaborative Filtering Approach to Personalization in E-learning. EDM 2014: 68-75 - 2013
- [c30]Ronen I. Brafman, Guy Shani, Shlomo Zilberstein:
Qualitative Planning under Partial Observability in Multi-Agent Domains. AAAI 2013: 130-137 - [c29]Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar:
Improving Simple Collaborative Filtering Models Using Ensemble Methods. MCS 2013: 1-12 - [c28]Ido Blank, Lior Rokach, Guy Shani:
Leveraging the citation graph to recommend keywords. RecSys 2013: 359-362 - [c27]Amihai Savir, Ronen I. Brafman, Guy Shani:
Recommending improved configurations for complex objects with an application in travel planning. RecSys 2013: 391-394 - [c26]Lior Rokach, Guy Shani, Bracha Shapira, Eyal Chapnik, Gali Siboni:
Recommending insurance riders. SAC 2013: 253-260 - [c25]Guy Shani, Noam Tractinsky:
Displaying relevance scores for search results. SIGIR 2013: 901-904 - 2012
- [c24]Ronen I. Brafman, Guy Shani:
A Multi-Path Compilation Approach to Contingent Planning. AAAI 2012: 1868-1874 - [c23]Orly Moreno, Bracha Shapira, Lior Rokach, Guy Shani:
TALMUD: transfer learning for multiple domains. CIKM 2012: 425-434 - 2011
- [c22]Guy Shani, Ronen I. Brafman:
Replanning in Domains with Partial Information and Sensing Actions. IJCAI 2011: 2021-2026 - [c21]Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani:
Using Wikipedia to boost collaborative filtering techniques. RecSys 2011: 285-288 - 2010
- [c20]Christopher Amato, Guy Shani:
High-level reinforcement learning in strategy games. AAMAS 2010: 75-82 - [c19]George Chrysanthakopoulos, Guy Shani:
Augmenting appearance-based localization and navigation using belief update. AAMAS 2010: 559-566 - [c18]Guy Shani:
Tutorial on evaluating recommender systems. RecSys 2010: 1 - 2009
- [c17]Guy Shani, Christopher Meek, Asela Gunawardana:
Hierarchical Probabilistic Segmentation of Discrete Events. ICDM 2009: 974-979 - [c16]Jilles Steeve Dibangoye, Guy Shani, Brahim Chaib-draa, Abdel-Illah Mouaddib:
Topological Order Planner for POMDPs. IJCAI 2009: 1684-1689 - [c15]Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani:
Bayesian Real-Time Dynamic Programming. IJCAI 2009: 1784-1789 - [c14]Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia:
Searching large indexes on tiny devices: optimizing binary search with character pinning. IUI 2009: 257-266 - [c13]Guy Shani, Christopher Meek:
Improving Existing Fault Recovery Policies. NIPS 2009: 1642-1650 - 2008
- [c12]Guy Shani, Pascal Poupart, Ronen I. Brafman, Solomon Eyal Shimony:
Efficient ADD Operations for Point-Based Algorithms. ICAPS 2008: 330-337 - [c11]Guy Shani, David Maxwell Chickering, Christopher Meek:
Mining recommendations from the web. RecSys 2008: 35-42 - 2007
- [c10]Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen I. Brafman:
Scaling Up: Solving POMDPs through Value Based Clustering. AAAI 2007: 1290-1295 - [c9]Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen I. Brafman:
Scaling Up: Solving POMDPs through Value Based Clustering. AAAI 2007: 1910-1911 - [c8]David Ben-Shimon, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Guy Shani, Lihi Naamani:
Recommender System from Personal Social Networks. AWIC 2007: 47-55 - [c7]Guy Shani, Lior Rokach, Amnon Meisels, Lihi Naamani, Nischal M. Piratla, David Ben-Shimon:
Establishing User Profiles in the MediaScout Recommender System. CIDM 2007: 470-476 - [c6]Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony:
Forward Search Value Iteration for POMDPs. IJCAI 2007: 2619-2624 - 2006
- [c5]Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony:
Prioritizing Point-Based POMDP Solvers. ECML 2006: 389-400 - 2005
- [c4]Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony:
Model-Based Online Learning of POMDPs. ECML 2005: 353-364 - 2004
- [c3]Guy Shani, Ronen I. Brafman:
Resolving Perceptual Aliasing In The Presence Of Noisy Sensors. NIPS 2004: 1249-1256 - 2003
- [c2]Ronen I. Brafman, David Heckerman, Guy Shani:
Recommendation as a Stochastic Sequential Decision Problem. ICAPS 2003: 164-173 - 2002
- [c1]Guy Shani, Ronen I. Brafman, David Heckerman:
An MDP-based Recommender System. UAI 2002: 453-460
Parts in Books or Collections
- 2011
- [p1]Guy Shani, Asela Gunawardana:
Evaluating Recommendation Systems. Recommender Systems Handbook 2011: 257-297
Reference Works
- 2022
- [r2]Asela Gunawardana, Guy Shani, Sivan Yogev:
Evaluating Recommender Systems. Recommender Systems Handbook 2022: 547-601 - 2015
- [r1]Asela Gunawardana, Guy Shani:
Evaluating Recommender Systems. Recommender Systems Handbook 2015: 265-308
Informal and Other Publications
- 2024
- [i10]Guy Shani:
Heuristics for Partially Observable Stochastic Contingent Planning. CoRR abs/2410.05870 (2024) - 2023
- [i9]Shuangning Li, Lluis Salvat Niell, Sung Won Choi, Inbal Nahum-Shani, Guy Shani, Susan A. Murphy:
Dyadic Reinforcement Learning. CoRR abs/2308.07843 (2023) - 2022
- [i8]Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman:
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings. CoRR abs/2208.10429 (2022) - 2021
- [i7]Rotem Lev Lehman, Guy Shani, Roni Stern:
Partial Disclosure of Private Dependencies in Privacy Preserving Planning. CoRR abs/2102.07185 (2021) - 2020
- [i6]Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger:
Diversity in News Recommendations. CoRR abs/2005.09495 (2020) - 2019
- [i5]Avi Segal, Kobi Gal, Guy Shani, Bracha Shapira:
A difficulty ranking approach to personalization in E-learning. CoRR abs/1907.12047 (2019) - 2014
- [i4]Ronen I. Brafman, Guy Shani:
Replanning in Domains with Partial Information and Sensing Actions. CoRR abs/1401.6048 (2014) - 2013
- [i3]Guy Shani, Ronen I. Brafman, David Heckerman:
An MDP-based Recommender System. CoRR abs/1301.0600 (2013) - 2012
- [i2]Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar:
Boosting Simple Collaborative Filtering Models Using Ensemble Methods. CoRR abs/1211.2891 (2012) - [i1]Gilad Katz, Guy Shani, Bracha Shapira, Lior Rokach:
Using Wikipedia to Boost SVD Recommender Systems. CoRR abs/1212.1131 (2012)
Coauthor Index
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