TACtic- A Multi Behavioral Agent for Trading Agent Competition. - Hassan Khosravi; Mohammad E. Shiri; Hamid Khosravi; Ehsan Iranmanesh; Alireza Davoodi (CSICC, 2008)

Join Bayes Nets: A new type of Bayes net for relational data - Oliver Schulte; Hassan Khosravi; Flavia Moser; Martin Ester (CoRR, 2008)

Exploratory Analysis of Co-Change Graphs for Code Refactoring. - Hassan Khosravi; Recep Colak (Canadian AI, 2009)

A new hybrid method for Bayesian network learning With dependency constraints. - Oliver Schulte; Gustavo Frigo; Russell Greiner; Wei Luo 001; Hassan Khosravi (CIDM, 2009)

LNBC: A Link-Based Naive Bayes Classifier. - Bahareh Bina; Oliver Schulte; Hassan Khosravi (ICDM Workshops, 2009)

Structure Learning for Markov Logic Networks with Many Descriptive Attributes. - Hassan Khosravi; Oliver Schulte; Tong Man; Xiaoyuan Xu; Bahareh Bina (AAAI, 2010)

A Survey on Statistical Relational Learning. - Hassan Khosravi; Bahareh Bina (Canadian AI, 2010)

The IMAP Hybrid Method for Learning Gaussian Bayes Nets. - Oliver Schulte; Gustavo Frigo; Russell Greiner; Hassan Khosravi (Canadian AI, 2010)

Fast Parameter Learning for Markov Logic Networks Using Bayes Nets. - Hassan Khosravi (ILP, 2012)

Random Regression for Bayes Nets Applied to Relational Data. - Oliver Schulte; Hassan Khosravi; Tianxiang Gao; Yuke Zhu (StarAI@UAI, 2012)

Learning compact Markov logic networks with decision trees. - Hassan Khosravi; Oliver Schulte; Jianfeng Hu; Tianxiang Gao (Mach. Learn., 2012)

Learning graphical models for relational data via lattice search. - Oliver Schulte; Hassan Khosravi (Mach. Learn., 2012)

Learning directed relational models with recursive dependencies. - Oliver Schulte; Hassan Khosravi; Tong Man (Mach. Learn., 2012)

Transaction-based link strength prediction in a social network. - Hassan Khosravi; Ali Bozorgkhan; Oliver Schulte (CIDM, 2013)

Modelling relational statistics with Bayes Nets. - Oliver Schulte; Hassan Khosravi; Arthur E. Kirkpatrick; Tianxiang Gao; Yuke Zhu (Mach. Learn., 2014)

Existence of solutions of functional integral equations of convolution type using a new construction of a measure of noncompactness on Lp(R+). - Hassan Khosravi; Reza Allahyari; Ali Shole Haghighi (Appl. Math. Comput., 2015)

RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. - Hassan Khosravi; Kendra M. L. Cooper; Kirsty Kitto (EDM, 2017)

Using Learning Analytics to Investigate Patterns of Performance and Engagement in Large Classes. - Hassan Khosravi; Kendra M. L. Cooper (SIGCSE, 2017)

Recommendation in Personalised Peer-Learning Environments. - Hassan Khosravi (CoRR, 2017)

Reciprocal Content Recommendation for Peer Learning Study Sessions. - Boyd A. Potts; Hassan Khosravi; Carl Reidsema (AIED (1), 2018)

Graph-based visual topic dependency models: supporting assessment design and delivery at scale. - Kendra M. L. Cooper; Hassan Khosravi (LAK, 2018)

Reciprocal peer recommendation for learning purposes. - Boyd A. Potts; Hassan Khosravi; Carl Reidsema; Aneesha Bakharia; Mark Belonogoff; Melanie Fleming (LAK, 2018)

Topic Dependency Models: Graph-Based Visual Analytics for Communicating Assessment Data. - Hassan Khosravi; Kendra M. L. Cooper (J. Learn. Anal., 2018)

Multilevel Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach. - Kendra M. L. Cooper; Hassan Khosravi (DMSVIVA, 2019)

A Multivariate ELO-based Learner Model for Adaptive Educational Systems. - Solmaz Abdi; Hassan Khosravi; Shazia Sadiq; Dragan Gasevic (EDM, 2019)

Multilevel Visualisation of Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach. - Kendra M. L. Cooper; Hassan Khosravi (CoRR, 2019)

Multilevel Visualisation of Topic Dependency Modelsfor Assessment Design and Delivery: A Hypergraph Based Approach. - Kendra M. L. Cooper; Hassan Khosravi (J. Vis. Lang. Comput., 2019)

RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. - Hassan Khosravi; Kirsty Kitto; Joseph Jay Williams (J. Learn. Anal., 2019)

Modelling Learners in Crowdsourcing Educational Systems. - Solmaz Abdi; Hassan Khosravi; Shazia Sadiq (AIED (2), 2020)

Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards. - Shiva Shabaninejad; Hassan Khosravi; Sander J. J. Leemans; Shazia Sadiq; Marta Indulska (AIED (1), 2020)

Utilising Learnersourcing to Inform Design Loop Adaptivity. - Ali Darvishi; Hassan Khosravi; Shazia Sadiq (EC-TEL, 2020)

Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining. - Sander J. J. Leemans; Shiva Shabaninejad; Kanika Goel 002; Hassan Khosravi; Shazia Sadiq; Moe Thandar Wynn (ER, 2020)

Identifying Cohorts that Differ in their Behaviour: Tool Support. - Sander J. J. Leemans; Shiva Shabaninejad; Kanika Goel 002; Hassan Khosravi; Shazia Sadiq; Moe Thandar Wynn (ER Forum/Posters/Demos, 2020)

Complementing educational recommender systems with open learner models. - Solmaz Abdi; Hassan Khosravi; Shazia Sadiq; Dragan Gasevic (LAK, 2020)

Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system. - Hassan Khosravi; George Gyamii; Barbara E. Hanna; Jason M. Lodge (LAK, 2020)

Automated insightful drill-down recommendations for learning analytics dashboards. - Shiva Shabaninejad; Hassan Khosravi; Marta Indulska; Aneesha Bakharia; Pedro T. Isaías (LAK, 2020)

Development and Adoption of an Adaptive Learning System: Reflections and Lessons Learned. - Hassan Khosravi; Shazia Sadiq; Dragan Gasevic (SIGCSE, 2020)

Open Learner Models for Multi-activity Educational Systems. - Solmaz Abdi; Hassan Khosravi; Shazia Sadiq; Ali Darvishi (AIED (2), 2021)

Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach. - Solmaz Abdi; Hassan Khosravi; Shazia Sadiq (LAK, 2021)

Charting the Design and Analytics Agenda of Learnersourcing Systems. - Hassan Khosravi; Gianluca Demartini; Shazia Sadiq; Dragan Gasevic (LAK, 2021)

Employing Peer Review to Evaluate the Quality of Student Generated Content at Scale: A Trust Propagation Approach. - Ali Darvishi; Hassan Khosravi; Shazia Sadiq (L@S, 2021)

Machine learning approach to predict susceptible growth regions of Moringa peregrina (Forssk). - Ehsan Moradi; Mahsa Abdolshahnejad; Moslem Borji Hassangavyar; Ghasem Ghoohestani; Alexandre Marco da Silva; Hassan Khosravi; Artemi Cerdà (Ecol. Informatics, 2021)

Evaluating the Quality of Learning Resources: A Learnersourcing Approach. - Solmaz Abdi; Hassan Khosravi; Shazia Sadiq; Gianluca Demartini (IEEE Trans. Learn. Technol., 2021)

Bridging the Gap Between Theory and Empirical Research in Evaluative Judgment. - Hassan Khosravi; George Gyamfi; Barbara E. Hanna; Jason M. Lodge; Solmaz Abdi (J. Learn. Anal., 2021)

Intelligent Learning Analytics Dashboards: Automated Drill-Down Recommendations to Support Teacher Data Exploration. - Hassan Khosravi; Shiva Shabaninejad; Aneesha Bakharia; Shazia Sadiq; Marta Indulska; Dragan Gasevic (J. Learn. Anal., 2021)

Incorporating AI and Analytics to Derive Insights from E-exam Logs. - Hatim Lahza; Hassan Khosravi; Gianluca Demartini (AIED (1), 2022)

Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing. - Hatim Lahza; Hassan Khosravi; Gianluca Demartini; Dragan Gasevic (LAK, 2022)

Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality. - Ali Darvishi; Hassan Khosravi; Solmaz Abdi; Shazia Sadiq; Dragan Gasevic (L@S, 2022)

Learnersourcing: Student-generated Content @ Scale. - Steven Moore; John C. Stamper; Christopher Brooks 001; Paul Denny 001; Hassan Khosravi (L@S, 2022)

Incorporating Explainable Learning Analytics to Assist Educators with Identifying Students in Need of Attention. - Shiva Shabaninejad; Hassan Khosravi; Solmaz Abdi; Marta Indulska; Shazia Sadiq (L@S, 2022)

Neurophysiological Measurements in Higher Education: A Systematic Literature Review. - Ali Darvishi; Hassan Khosravi; Shazia Sadiq; Barbara Weber (Int. J. Artif. Intell. Educ., 2022)

Incorporating AI and learning analytics to build trustworthy peer assessment systems. - Ali Darvishi; Hassan Khosravi; Shazia Sadiq; Dragan Gasevic (Br. J. Educ. Technol., 2022)

Explainable Artificial Intelligence in education. - Hassan Khosravi; Simon Buckingham Shum; Guanliang Chen; Cristina Conati; Yi-Shan Tsai; Judy Kay; Simon Knight 001; Roberto Martínez Maldonado; Shazia Sadiq; Dragan Gasevic (Comput. Educ. Artif. Intell., 2022)

Assessment in the age of artificial intelligence. - Zachari Swiecki; Hassan Khosravi; Guanliang Chen; Roberto Martínez Maldonado; Jason M. Lodge; Sandra Milligan; Neil Selwyn; Dragan Gasevic (Comput. Educ. Artif. Intell., 2022)

Information Resilience: the nexus of responsible and agile approaches to information use. - Shazia Sadiq; Amir Aryani; Gianluca Demartini; Wen Hua; Marta Indulska; Andrew Burton-Jones; Hassan Khosravi; Diana Benavides Prado; Timos Sellis; Ida Asadi Someh; Rhema Vaithianathan; Sen Wang 001; et al. (VLDB J., 2022)

Empowering Education with LLMs - The Next-Gen Interface and Content Generation. - Steven Moore; Richard Jiarui Tong; Anjali Singh; Zitao Liu 001; Xiangen Hu; Yu Lu 003; Joleen Liang; Chen Cao 005; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; John C. Stamper (AIED (Posters/Late Breaking Results/...), 2023)

A Regression Analysis Approach for Feature Selection in Student Achievement Data. - Ahmed M. ElMassry; Abdulla Alshamsi; Ahmed F. Abdulhameed; Mohamed A. Sharaf; Nazar Zaki; Hassan Khosravi (IIT, 2023)

Learner-centred Analytics of Feedback Content in Higher Education. - Jionghao Lin; Wei Dai; Lisa-Angelique Lim; Yi-Shan Tsai; Rafael Ferreira Mello; Hassan Khosravi; Dragan Gasevic; Guanliang Chen (LAK, 2023)

Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation. - Hassan Khosravi; Paul Denny 001; Steven Moore; John C. Stamper (Comput. Educ. Artif. Intell., 2023)

Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education. - Yuheng Li; Mladen Rakovic; Wei Dai; Jionghao Lin; Hassan Khosravi; Kirsten Galbraith; Kayley M. Lyons; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 2023)

Human vs Machine: Comparison of Student-generated and AI-generated Educational Content. - Paul Denny 001; Hassan Khosravi; Arto Hellas; Juho Leinonen 001; Sami Sarsa (CoRR, 2023)

Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. - Rebecca Ferguson; Hassan Khosravi; Vitomir Kovanovic; Olga Viberg; Ashish Aggarwal; Matthieu J. S. Brinkhuis; Simon Buckingham Shum; Lujie Karen Chen; Hendrik Drachsler; Valerie A. Guerrero; Michael Hanses; Caitlin Hayward; et al. (J. Learn. Anal., 2023)

Generative AI and Learning Analytics. - Hassan Khosravi; Olga Viberg; Vitomir Kovanovic; Rebecca Ferguson (J. Learn. Anal., 2023)

Beyond item analysis: Connecting student behaviour and performance using e-assessment logs. - Hatim Lahza; Tammy G. Smith; Hassan Khosravi (Br. J. Educ. Technol., 2023)

Analytics of learning tactics and strategies in an online learnersourcing environment. - Hatim Lahza; Hassan Khosravi; Gianluca Demartini (J. Comput. Assist. Learn., 2023)

Assessing the Quality of Student-Generated Content at Scale: A Comparative Analysis of Peer-Review Models. - Ali Darvishi; Hassan Khosravi; Afshin Rahimi 001; Shazia Sadiq; Dragan Gasevic (IEEE Trans. Learn. Technol., 2023)

Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. - M. Parvez Rashid; Edward F. Gehringer; Hassan Khosravi (LAK, 2024)

Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. - Steven Moore; Anjali Singh; Xinyi Lu; Hyoungwook Jin; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; Xu Wang 016; Juho Kim 001; John C. Stamper (L@S, 2024)

Large language models meet user interfaces: The case of provisioning feedback. - Stanislav Pozdniakov; Jonathan Brazil; Solmaz Abdi; Aneesha Bakharia; Shazia Sadiq; Dragan Gasevic; Paul Denny 001; Hassan Khosravi (Comput. Educ. Artif. Intell., 2024)

How critically can an AI think? A framework for evaluating the quality of thinking of generative artificial intelligence. - Luke Zaphir; Jason M. Lodge; Jacinta Lisec; Dom McGrath; Hassan Khosravi (CoRR, 2024)

Emotionally Enriched Feedback via Generative AI. - Omar Alsaiari; Nilufar Baghaei; Hatim Lahza; Jason M. Lodge; Marie Boden; Hassan Khosravi (CoRR, 2024)

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. - Luca Longo; Mario Brcic; Federico Cabitza; Jaesik Choi; Roberto Confalonieri 001; Javier Del Ser; Riccardo Guidotti; Yoichi Hayashi; Francisco Herrera; Andreas Holzinger; Richard Jiang 001; Hassan Khosravi; et al. (Inf. Fusion, 2024)

Prediction of hourly PM10 concentration through a hybrid deep learning-based method. - Sahar Nasabpour Molaei; Ali Salajegheh; Hassan Khosravi; Amin Nasiri; Abbas Ranjbar Saadat Abadi (Earth Sci. Informatics, 2024)

Impact of AI assistance on student agency. - Ali Darvishi; Hassan Khosravi; Shazia Sadiq; Dragan Gasevic; George Siemens (Comput. Educ., 2024)

From Misunderstandings to Learning Opportunities: Leveraging Generative AI in Discussion Forums to Support Student Learning. - Stanislav Pozdniakov; Jonathan Brazil; Oleksandra Poquet; Stephan Krusche; Santiago Berrezueta-Guzman; Shazia Sadiq; Hassan Khosravi (AIED (6), 2025)

Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence. - Tongguang Li; Debarshi Nath; Yixin Cheng; Yizhou Fan; Xinyu Li 004; Mladen Rakovic; Hassan Khosravi; Zachari Swiecki; Yi-Shan Tsai; Dragan Gasevic (LAK, 2025)

Emotionally enriched AI-generated feedback: Supporting student well-being without compromising learning. - Omar Alsaiari; Nilufar Baghaei; Hatim Lahza; Jason M. Lodge; Marie Boden; Hassan Khosravi (Comput. Educ., 2025)

Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques. - Hatim Lahza; Gianluca Demartini; Omid Noroozi; Dragan Gasevic; Shazia Sadiq; Hassan Khosravi (Comput. Educ., 2025)

Unmanned mining fleet Management: A Multi-Objective framework integrating deep reinforcement learning and Internet of Things. - Naser Badakhshan; Ezzeddin Bakhtavar; Kourosh Shahriar; Hassan Khosravi; Sajjad Afraei; Eugene Ben-Awuah (Expert Syst. Appl., 2025)

Dual-view entropy-regularized nonnegative matrix factorization for attributed graph clustering. - Mehrnoush Mohammadi; Kamal Berahmand; Saman Forouzandeh; Xujuan Zhou; Hassan Khosravi (Inf. Sci., 2025)

Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning. - Razieh Sheikhpour; Mehrnoush Mohammadi; Kamal Berahmand; Farid Saberi-Movahed; Hassan Khosravi (Inf. Sci., 2025)

Sparse feature selection using hypergraph Laplacian-based semi-supervised discriminant analysis. - Razieh Sheikhpour; Kamal Berahmand; Mehrnoush Mohammadi; Hassan Khosravi (Pattern Recognit., 2025)

Generative AI and Learning Analytics: Pushing Boundaries, Preserving Principles. - Hassan Khosravi; Antonette Shibani; Jelena Jovanovic 001; Zachary A. Pardos; Lixiang Yan (J. Learn. Anal., 2025)

AI-Assisted Co-Creation: Bridging Skill Gaps in Student-Generated Content. - Stanislav Pozdniakov; Jonathan Brazil; Mehrnoush Mohammadi; Mollie Dollinger; Shazia Sadiq; Hassan Khosravi (J. Learn. Anal., 2025)