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ORCIDShaghayegh Sahebi
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2020 – today
- 2024
[c41]Siqian Zhao
, Shaghayegh Sahebi:
Towards Multi-Objective Behavior and Knowledge Modeling in Students. UMAP (Adjunct Publication) 2024- 2023
- [c40]Chunpai Wang, Shaghayegh Sahebi:
Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments. CIKM 2023: 2616-2625 - [c39]Siqian Zhao, Shaghayegh Sahebi:
Graph-Enhanced Multi-Activity Knowledge Tracing. ECML/PKDD (6) 2023: 529-546 - [c38]Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Curb Your Procrastination: A Study of Academic Procrastination Behaviors vs. A Planning and Time Management App. UMAP 2023: 124-134 - [i5]Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi:
Transition-Aware Multi-Activity Knowledge Tracing. CoRR abs/2301.12916 (2023) - 2022
- [c37]Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi:
Transition-Aware Multi-Activity Knowledge Tracing. IEEE Big Data 2022: 1760-1769 - [c36]Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou:
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys 2022: 658-660 - [c35]Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky:
Proximity-Based Educational Recommendations: A Multi-Objective Framework. MORS@RecSys 2022 - [e4]Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou:
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. CEUR Workshop Proceedings 3268, CEUR-WS.org 2022 [contents] - [i4]Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura Oliveira Moraes:
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. CoRR abs/2210.09013 (2022) - 2021
- [c34]Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs. AAAI 2021: 4599-4607 - [c33]Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh, Semih Bursali, Siqian Zhao:
Temporal Processes Associating with Procrastination Dynamics. AIED (1) 2021: 459-471 - [c32]Chunpai Wang, Siqian Zhao, Shaghayegh Sahebi:
Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing. EDM 2021 - [c31]Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni:
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. RecSys 2021: 787-788 - [c30]Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni:
MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems. MORS@RecSys 2021 - [c29]Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky:
MOCHI: an Offline Evaluation Framework for Educational Recommendations. Perspectives@RecSys 2021 - [c28]Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura Oliveira Moraes:
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. UMAP 2021: 179-188 - [c27]Chunpai Wang, Shaghayegh Sahebi, Helma Torkamaan:
STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data. WI/IAT 2021: 453-462 - [c26]Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. WWW 2021: 1562-1573 - [e3]Sharon I-Han Hsiao, Shaghayegh (Sherry) Sahebi, François Bouchet, Jill-Jênn Vie:
Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021, virtual, June 29 - July 2, 2021. International Educational Data Mining Society 2021 [contents] - [e2]Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni:
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. CEUR Workshop Proceedings 2959, CEUR-WS.org 2021 [contents] - [i3]Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. CoRR abs/2102.00089 (2021) - [i2]Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs. CoRR abs/2102.00093 (2021) - 2020
- [c25]Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach. EDM 2020 - [c24]Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi:
Modeling Knowledge Acquisition from Multiple Learning Resource Types. EDM 2020 - [c23]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization. FLAIRS 2020: 439-444 - [c22]Thanh-Nam Doan, Shaghayegh Sahebi:
TransCrossCF: Transition-based Cross-Domain Collaborative Filtering. ICMLA 2020: 320-327 - [c21]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Structure-Based Discriminative Matrix Factorization for Detecting Inefficient Learning Behaviors. WI/IAT 2020: 283-290 - [i1]Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi:
Modeling Knowledge Acquisition from Multiple Learning Resource Types. CoRR abs/2006.13390 (2020)
2010 – 2019
- 2019
- [c20]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Annotated Examples and Parameterized Exercises: Analyzing Students' Behavior Patterns. AIED (1) 2019: 308-319 - [c19]Mehrdad Mirzaei, Shaghayegh Sahebi:
Modeling Students' Behavior Using Sequential Patterns to Predict Their Performance. AIED (2) 2019: 350-353 - [c18]Thanh-Nam Doan, Shaghayegh Sahebi:
Rank-Based Tensor Factorization for Student Performance Prediction. EDM 2019 - [c17]Thanh-Nam Doan, Shaghayegh Sahebi:
Review-Based Cross-Domain Collaborative Filtering: A Neural Framework. ComplexRec@RecSys 2019: 23-28 - 2018
- [c16]Shaghayegh Sahebi, Peter Brusilovsky:
Student Performance Prediction by Discovering Inter-Activity Relations. EDM 2018 - [c15]Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández:
The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). RecSys 2018: 523-524 - 2017
- [c14]Shaghayegh Sahebi, Peter Brusilovsky, Vladimir Bobrokov:
Cross-Domain Recommendation for Large-Scale Data. RecSysKTL 2017: 9-15 - [c13]Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández:
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). RecSys 2017: 366-367 - [e1]Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández:
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017. CEUR Workshop Proceedings 1887, CEUR-WS.org 2017 [contents] - 2016
- [c12]Shaghayegh Sahebi, Yu-Ru Lin, Peter Brusilovsky:
Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain. EDM 2016: 502-506 - 2015
- [c11]Shaghayegh Sahebi, Peter Brusilovsky:
It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering. RecSys 2015: 131-138 - 2014
- [c10]Julio Guerra, Shaghayegh Sahebi, Yu-Ru Lin, Peter Brusilovsky:
The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises. EDM 2014: 153-160 - [c9]Shaghayegh Sahebi, Yun Huang, Peter Brusilovsky:
Predicting Student Performance in Solving Parameterized Exercises. Intelligent Tutoring Systems 2014: 496-503 - [c8]Shaghayegh Sahebi, Trevor Walker:
Content-Based Cross-Domain Recommendations Using Segmented Models. CBRecSys@RecSys 2014: 57-64 - 2013
- [c7]Shaghayegh Sahebi, Peter Brusilovsky:
Cross-Domain Collaborative Recommendation in a Cold-Start Context: The Impact of User Profile Size on the Quality of Recommendation. UMAP 2013: 289-295 - 2012
- [c6]Denis Parra, Wei Jeng, Peter Brusilovsky, Claudia López, Shaghayegh Sahebi:
Conference Navigator 3: An online social conference support system. UMAP Workshops 2012 - 2010
- [c5]Peter Brusilovsky, Denis Parra, Shaghayegh Sahebi, Chirayu Wongchokprasitti:
Collaborative information finding in smaller communities: The case of research talks. CollaborateCom 2010: 1-10 - [c4]Shaghayegh Sahebi, Chirayu Wongchokprasitti, Peter Brusilovsky:
Recommending research colloquia: a study of several sources for user profiling. HetRec@RecSys 2010: 32-38
2000 – 2009
- 2008
- [c3]Ramtin Khosravi, Marjan Sirjani, Nesa Asoudeh, Shaghayegh Sahebi, Hamed Iravanchi:
Modeling and Analysis of Reo Connectors Using Alloy. COORDINATION 2008: 169-183 - [c2]Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosravi:
Applying and Comparing Hidden Markov Model and Fuzzy Clustering Algorithms to Web Usage Data for Recommender Systems. IADIS European Conf. Data Mining 2008: 179-181 - [c1]Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosravi:
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems. Web Intelligence/IAT Workshops 2008: 82-85
Coauthor Index
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last updated on 2024-09-25 01:39 CEST by the dblp team
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