Guy Shani

Orcid: 0000-0003-4131-0382

Affiliations:
  • Ben-Gurion University of the Negev, Israel


According to our database1, Guy Shani authored at least 101 papers between 2003 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Rollout Heuristics for Online Stochastic Contingent Planning.
Proceedings of the Third Workshop on Agents and Robots for reliable Engineered Autonomy, 2023

Dyadic Reinforcement Learning.
CoRR, 2023

Unavoidable deadends in deterministic partially observable contingent planning.
Auton. Agents Multi Agent Syst., 2023

Online Evaluation of Tail Project Boosting in Citizen Science.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

An Efficient and Accurate Neural Network Tool for Finding Correlation Between Gene Expression and Histological Images.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Multi Agent Path Finding under Obstacle Uncertainty.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
Evaluating Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

Prioritizing vulnerability patches in large networks.
Expert Syst. Appl., 2022

HiveRel: hexagons visualization for relationship-based knowledge acquisition.
CCF Trans. Pervasive Comput. Interact., 2022

Reducing disclosed dependencies in privacy preserving planning.
Auton. Agents Multi Agent Syst., 2022

Privacy preserving planning in multi-agent stochastic environments.
Auton. Agents Multi Agent Syst., 2022

Generating Recommendations with Post-Hoc Explanations for Citizen Science.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

An Online Approach for Multi-Agent Path Finding Under Movement Uncertainty (Extended Abstract).
Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

Team-Imitate-Synchronize for Solving Dec-POMDPs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Addressing Popularity Bias in Citizen Science.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Computing Contingent Plan Graphs using Online Planning.
ACM Trans. Auton. Adapt. Syst., 2021

Supervisor-Worker Problems with an Application in Education.
Sensors, 2021

DoChaP: the domain change presenter.
Nucleic Acids Res., 2021

Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482).
Dagstuhl Manifestos, 2021

Using POMDPs for learning cost sensitive decision trees.
Artif. Intell., 2021

Partial Disclosure of Private Dependencies in Privacy Preserving Planning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Intelligent Recommendations for Citizen Science.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Diversity in News Recommendations.
CoRR, 2020

Length phenotyping with interest point detection.
Comput. Electron. Agric., 2020

Post-hoc Explanations for Complex Model Recommendations using Simple Methods.
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Intelligent Recommendations for Citizen Science.
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Privacy Preserving Planning in Stochastic Environments.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Investigating Recommendation Algorithms for Escape Rooms.
Vietnam. J. Comput. Sci., 2019

A difficulty ranking approach to personalization in E-learning.
Int. J. Hum. Comput. Stud., 2019

Comparative criteria for partially observable contingent planning.
Auton. Agents Multi Agent Syst., 2019

Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

A Factored Approach to Deterministic Contingent Multi-Agent Planning.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping.
Sensors, 2018

EEG-triggered dynamic difficulty adjustment for multiplayer games.
Entertain. Comput., 2018

Action dependencies in privacy-preserving multi-agent planning.
Auton. Agents Multi Agent Syst., 2018

Landmark-based heuristic online contingent planning.
Auton. Agents Multi Agent Syst., 2018

Advances and Challenges in Privacy Preserving Planning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Analysis of Attack Graph Representations for Ranking Vulnerability Fixes.
Proceedings of the GCAI-2018, 2018

Iterative Planning for Deterministic QDec-POMDPs.
Proceedings of the GCAI-2018, 2018

Cluster Switches in Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Simulated Penetration Testing as Contingent Planning.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

MDP-Based Cost Sensitive Classification Using Decision Trees.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Shortest path tree sampling for landmark selection in large networks.
J. Complex Networks, 2017

Collaborative privacy preserving multi-agent planning - Planners and heuristics.
Auton. Agents Multi Agent Syst., 2017

HiveRel: Towards Focused Knowledge Acquisition.
Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics, 2017

Increased Privacy with Reduced Communication in Multi-Agent Planning.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Anytime Algorithms for Recommendation Service Providers.
ACM Trans. Intell. Syst. Technol., 2016

Leveraging metadata to recommend keywords for academic papers.
J. Assoc. Inf. Sci. Technol., 2016

Online belief tracking using regression for contingent planning.
Artif. Intell., 2016

Stronger Privacy Preserving Projections for Multi-Agent Planning.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Online Macro Generation for Privacy Preserving Planning.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Computing Contingent Plans Using Online Replanning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Evaluating Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Fast Item-Based Collaborative Filtering.
Proceedings of the ICAART 2015, 2015

2014
Task-Based Decomposition of Factored POMDPs.
IEEE Trans. Cybern., 2014

EduRank: A Collaborative Filtering Approach to Personalization in E-learning.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Privacy Preserving Landmark Detection.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

On The Properties of Belief Tracking for Online Contingent Planning using Regression.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Partially Observable Online Contingent Planning Using Landmark Heuristics.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2013
Investigating confidence displays for top-<i>N</i> recommendations.
J. Assoc. Inf. Sci. Technol., 2013

Tutorial on application-oriented evaluation of recommendation systems.
AI Commun., 2013

A survey of point-based POMDP solvers.
Auton. Agents Multi Agent Syst., 2013

Displaying relevance scores for search results.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Recommending insurance riders.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Recommending improved configurations for complex objects with an application in travel planning.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Leveraging the citation graph to recommend keywords.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Improving Simple Collaborative Filtering Models Using Ensemble Methods.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Qualitative Planning under Partial Observability in Multi-Agent Domains.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Replanning in Domains with Partial Information and Sensing Actions.
J. Artif. Intell. Res., 2012

Using Wikipedia to Boost SVD Recommender Systems
CoRR, 2012

Boosting Simple Collaborative Filtering Models Using Ensemble Methods
CoRR, 2012

The Skyline algorithm for POMDP value function pruning.
Ann. Math. Artif. Intell., 2012

TALMUD: transfer learning for multiple domains.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Multi-Path Compilation Approach to Contingent Planning.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Evaluating Recommendation Systems.
Proceedings of the Recommender Systems Handbook, 2011

Unsupervised hierarchical probabilistic segmentation of discrete events.
Intell. Data Anal., 2011

Using Wikipedia to boost collaborative filtering techniques.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

2010
Evaluating Point-Based POMDP Solvers on Multicore Machines.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Tutorial on evaluating recommender systems.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Augmenting appearance-based localization and navigation using belief update.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

High-level reinforcement learning in strategy games.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks.
J. Mach. Learn. Res., 2009

AAAI 2008 Workshop Reports.
AI Mag., 2009

Improving Existing Fault Recovery Policies.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Searching large indexes on tiny devices: optimizing binary search with character pinning.
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

Bayesian Real-Time Dynamic Programming.
Proceedings of the IJCAI 2009, 2009

Topological Order Planner for POMDPs.
Proceedings of the IJCAI 2009, 2009

Hierarchical Probabilistic Segmentation of Discrete Events.
Proceedings of the ICDM 2009, 2009

2008
Prioritizing Point-Based POMDP Solvers.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Mining recommendations from the web.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Efficient ADD Operations for Point-Based Algorithms.
Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

2007
Forward Search Value Iteration for POMDPs.
Proceedings of the IJCAI 2007, 2007

Establishing User Profiles in the MediaScout Recommender System.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Recommender System from Personal Social Networks.
Proceedings of the Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25, 2007

Scaling Up: Solving POMDPs through Value Based Clustering.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005
An MDP-Based Recommender System.
J. Mach. Learn. Res., 2005

Model-Based Online Learning of POMDPs.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Resolving Perceptual Aliasing In The Presence Of Noisy Sensors.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Recommendation as a Stochastic Sequential Decision Problem.
Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003


  Loading...