CONFab: component based optimization of WSN protocol stacks using deployment feedback. - Junaid Ansari; Elena Meshkova; Wasif Masood; Arham Muslim; Janne Riihijärvi; Petri Mähönen (MOBIWAC, 2012)

Supporting action research with learning analytics. - Anna Lea Dyckhoff; Vlatko Lukarov; Arham Muslim; Mohamed Amine Chatti; Ulrik Schroeder (LAK, 2013)

Data Models in Learning Analytics. - Vlatko Lukarov; Mohamed Amine Chatti; Hendrik Thüs; Fatemeh Salehian Kia; Arham Muslim; Christoph Greven; Ulrik Schroeder (DeLFI Workshops, 2014)

CONFab: Ontology and component based optimization of WSN protocol stacks with deployment feedback. - Junaid Ansari; Elena Meshkova; Wasif Masood; Arham Muslim; Janne Riihijärvi; Petri Mähönen (Comput. Networks, 2014)

A rule-based indicator definition tool for personalized learning analytics. - Arham Muslim; Mohamed Amine Chatti; Tanmaya Mahapatra; Ulrik Schroeder (LAK, 2016)

The Goal - Question - Indicator Approach for Personalized Learning Analytics - . - Arham Muslim; Mohamed Amine Chatti; Memoona Mughal; Ulrik Schroeder (CSEDU (1), 2017)

A Modular and Extensible Framework for Open Learning Analytics. - Arham Muslim; Mohamed Amine Chatti; Muhammad Bassim Bashir; Oscal Eduardo Barrios Varela; Ulrik Schroeder (J. Learn. Anal., 2018)

How to Design Effective Learning Analytics Indicators? A Human-Centered Design Approach. - Mohamed Amine Chatti; Arham Muslim; Mouadh Guesmi; Florian Richtscheid; Dawood Nasimi; Amin Shahin; Ritesh Damera (EC-TEL, 2020)

Open, Scrutable and Explainable Interest Models for Transparent Recommendation. - Mouadh Guesmi; Mohamed Amine Chatti; Yiqi Sun; Shadi Zumor; Fangzheng Ji; Arham Muslim; Laura Vorgerd; Shoeb Ahmed Joarder (IUI Workshops, 2021)

Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details. - Mouadh Guesmi; Mohamed Amine Chatti; Laura Vorgerd; Shoeb Ahmed Joarder; Qurat Ul Ain; Thao Ngo; Shadi Zumor; Yiqi Sun; Fangzheng Ji; Arham Muslim (IntRS@RecSys, 2021)

SIMT: A Semantic Interest Modeling Toolkit. - Mohamed Amine Chatti; Fangzheng Ji; Mouadh Guesmi; Arham Muslim; Ravi Kumar Singh; Shoeb Ahmed Joarder (UMAP (Adjunct Publication), 2021)

On-demand Personalized Explanation for Transparent Recommendation. - Mouadh Guesmi; Mohamed Amine Chatti; Laura Vorgerd; Shoeb Ahmed Joarder; Shadi Zumor; Yiqi Sun; Fangzheng Ji; Arham Muslim (UMAP (Adjunct Publication), 2021)

Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System. - Mohamed Amine Chatti; Mouadh Guesmi; Laura Vorgerd; Thao Ngo; Shoeb Ahmed Joarder; Qurat Ul Ain; Arham Muslim (UMAP, 2022)

Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study. - Mouadh Guesmi; Mohamed Amine Chatti; Laura Vorgerd; Thao Ngo; Shoeb Ahmed Joarder; Qurat Ul Ain; Arham Muslim (UMAP (Adjunct Publication), 2022)

Supporting Indicator Personalization and Platform Extensibility in Open Learning Analytics. - Arham Muslim; Mohamed Amine Chatti; Ulrik Schroeder (Technol. Knowl. Learn., 2022)

Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications. - Mohamed Amine Chatti; Volkan Yücepur; Arham Muslim; Mouadh Guesmi; Shoeb Ahmed Joarder (CoRR, 2023)

The LAVA Model: Learning Analytics Meets Visual Analytics. - Mohamed Amine Chatti; Arham Muslim; Manpriya Guliani; Mouadh Guesmi (CoRR, 2023)

Open Learning Analytics: A Systematic Literature Review and Future Perspectives. - Arham Muslim; Mohamed Amine Chatti; Mouadh Guesmi (CoRR, 2023)

Visualization for Recommendation Explainability: A Survey and New Perspectives. - Mohamed Amine Chatti; Mouadh Guesmi; Arham Muslim (ACM Trans. Interact. Intell. Syst., 2024)