Shaghayegh Sahebi

46 papers A* 2A 7B 9C 3Misc 1Journal 5Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Towards Multi-Objective Behavior and Knowledge Modeling in Students. UMAP (Adjunct Publication) Siqian Zhao, Shaghayegh Sahebi
2023	A	`conf`	Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments. CIKM Chunpai Wang, Shaghayegh Sahebi
2023	A	`conf`	Curb Your Procrastination: A Study of Academic Procrastination Behaviors vs. A Planning and Time Management App. UMAP Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh
2023	—	`conf`	Graph-Enhanced Multi-Activity Knowledge Tracing. ECML/PKDD (6) Siqian Zhao, Shaghayegh Sahebi
2023	J	`jnl`	Transition-Aware Multi-Activity Knowledge Tracing. CoRR Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi
2022	J	`jnl`	Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. CoRR Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura Oliveira Moraes
2022	A	`conf`	MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	—	`ed.`	Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022. MORS@RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	—	`conf`	Proximity-Based Educational Recommendations: A Multi-Objective Framework. MORS@RecSys Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky
2022	B	`conf`	Transition-Aware Multi-Activity Knowledge Tracing. IEEE Big Data Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi
2021	A	`conf`	Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. UMAP Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura Oliveira Moraes
2021	B	`conf`	Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing. EDM Chunpai Wang, Siqian Zhao, Shaghayegh Sahebi
2021	—	`conf`	MOCHI: an Offline Evaluation Framework for Educational Recommendations. Perspectives@RecSys Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky
2021	—	`conf`	MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. MORS@RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	A	`conf`	MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	—	`ed.`	Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 25, 2021. MORS@RecSys Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni
2021	J	`jnl`	Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs. CoRR Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh
2021	A*	`conf`	Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs. AAAI Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh
2021	—	`conf`	STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data. WI/IAT Chunpai Wang, Shaghayegh Sahebi, Helma Torkamaan
2021	A*	`conf`	Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. WWW Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh
2021	J	`jnl`	Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. CoRR Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh
2021	—	`conf`	Temporal Processes Associating with Procrastination Dynamics. AIED (1) Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh, Semih Bursali, Siqian Zhao
2020	B	`conf`	Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach. EDM Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh
2020	Misc	`conf`	Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization. FLAIRS Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky
2020	B	`conf`	Modeling Knowledge Acquisition from Multiple Learning Resource Types. EDM Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi
2020	J	`jnl`	Modeling Knowledge Acquisition from Multiple Learning Resource Types. CoRR Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi
2020	—	`conf`	Structure-Based Discriminative Matrix Factorization for Detecting Inefficient Learning Behaviors. WI/IAT Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky
2020	C	`conf`	TransCrossCF: Transition-based Cross-Domain Collaborative Filtering. ICMLA Thanh-Nam Doan, Shaghayegh Sahebi
2019	—	`conf`	Annotated Examples and Parameterized Exercises: Analyzing Students' Behavior Patterns. AIED (1) Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky
2019	—	`conf`	Modeling Students' Behavior Using Sequential Patterns to Predict Their Performance. AIED (2) Mehrdad Mirzaei, Shaghayegh Sahebi
2019	B	`conf`	Rank-Based Tensor Factorization for Student Performance Prediction. EDM Thanh-Nam Doan, Shaghayegh Sahebi
2019	—	`conf`	Review-Based Cross-Domain Collaborative Filtering: A Neural Framework. ComplexRec@RecSys Thanh-Nam Doan, Shaghayegh Sahebi
2018	B	`conf`	Student Performance Prediction by Discovering Inter-Activity Relations. EDM Shaghayegh Sahebi, Peter Brusilovsky
2017	—	`conf`	Cross-Domain Recommendation for Large-Scale Data. RecSysKTL Shaghayegh Sahebi, Peter Brusilovsky, Vladimir Bobrokov
2016	B	`conf`	Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain. EDM Shaghayegh Sahebi, Yu-Ru Lin, Peter Brusilovsky
2015	A	`conf`	It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering. RecSys Shaghayegh Sahebi, Peter Brusilovsky
2014	—	`conf`	Content-Based Cross-Domain Recommendations Using Segmented Models. CBRecSys@RecSys Shaghayegh Sahebi, Trevor Walker
2014	B	`conf`	Predicting Student Performance in Solving Parameterized Exercises. Intelligent Tutoring Systems Shaghayegh Sahebi, Yun Huang, Peter Brusilovsky
2014	B	`conf`	The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises. EDM Julio Guerra, Shaghayegh Sahebi, Yu-Ru Lin, Peter Brusilovsky
2013	A	`conf`	Cross-Domain Collaborative Recommendation in a Cold-Start Context: The Impact of User Profile Size on the Quality of Recommendation. UMAP Shaghayegh Sahebi, Peter Brusilovsky
2012	—	`conf`	Conference Navigator 3: An online social conference support system. UMAP Workshops Denis Parra, Wei Jeng, Peter Brusilovsky, Claudia López, Shaghayegh Sahebi
2010	C	`conf`	Collaborative information finding in smaller communities: The case of research talks. CollaborateCom Peter Brusilovsky, Denis Parra, Shaghayegh Sahebi, Chirayu Wongchokprasitti
2010	—	`conf`	Recommending research colloquia: a study of several sources for user profiling. HetRec@RecSys Shaghayegh Sahebi, Chirayu Wongchokprasitti, Peter Brusilovsky
2008	—	`conf`	An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems. Web Intelligence/IAT Workshops Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosravi
2008	—	`conf`	Applying and Comparing Hidden Markov Model and Fuzzy Clustering Algorithms to Web Usage Data for Recommender Systems. IADIS European Conf. Data Mining Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosravi
2008	C	`conf`	Modeling and Analysis of Reo Connectors Using Alloy. COORDINATION Ramtin Khosravi, Marjan Sirjani, Nesa Asoudeh, Shaghayegh Sahebi, Hamed Iravanchi