Shaghayegh Sahebi

Orcid: 0000-0002-8933-3279

According to our database1, Shaghayegh Sahebi authored at least 41 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Towards Multi-Objective Behavior and Knowledge Modeling in Students.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

2023
Curb Your Procrastination: A Study of Academic Procrastination Behaviors vs. A Planning and Time Management App.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Graph-Enhanced Multi-Activity Knowledge Tracing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Proximity-Based Educational Recommendations: A Multi-Objective Framework.
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Transition-Aware Multi-Activity Knowledge Tracing.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs.
CoRR, 2021

Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling.
Proceedings of the WWW '21: The Web Conference 2021, 2021

STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

MOCHI: an Offline Evaluation Framework for Educational Recommendations.
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

MORS 2021 - 1st Workshop on Multi-Objective Recommender Systems.
Proceedings of the 1st Workshop on Multi-Objective Recommender Systems (MORS 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Learning from Non-Assessed Resources: Deep Multi-Type Knowledge Tracing.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Temporal Processes Associating with Procrastination Dynamics.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Structure-Based Discriminative Matrix Factorization for Detecting Inefficient Learning Behaviors.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

TransCrossCF: Transition-based Cross-Domain Collaborative Filtering.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Modeling Knowledge Acquisition from Multiple Learning Resource Types.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019
Review-Based Cross-Domain Collaborative Filtering: A Neural Framework.
Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Rank-Based Tensor Factorization for Student Performance Prediction.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Annotated Examples and Parameterized Exercises: Analyzing Students' Behavior Patterns.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

Modeling Students' Behavior Using Sequential Patterns to Predict Their Performance.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL).
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Student Performance Prediction by Discovering Inter-Activity Relations.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL).
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Cross-Domain Recommendation for Large-Scale Data.
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

2016
Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
It Takes Two to Tango: An Exploration of Domain Pairs for Cross-Domain Collaborative Filtering.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
Content-Based Cross-Domain Recommendations Using Segmented Models.
Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, 2014

Predicting Student Performance in Solving Parameterized Exercises.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
Cross-Domain Collaborative Recommendation in a Cold-Start Context: The Impact of User Profile Size on the Quality of Recommendation.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

2012
Conference Navigator 3: An online social conference support system.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

2010
Recommending research colloquia: a study of several sources for user profiling.
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2010

Collaborative information finding in smaller communities: The case of research talks.
Proceedings of the 6th International Conference on Collaborative Computing: Networking, 2010

2008
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Applying and Comparing Hidden Markov Model and Fuzzy Clustering Algorithms to Web Usage Data for Recommender Systems.
Proceedings of the IADIS European Conference on Data Mining 2008, 2008

Modeling and Analysis of Reo Connectors Using Alloy.
Proceedings of the Coordination Models and Languages, 10th International Conference, 2008


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