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Arham Muslim
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2020 – today
- 2024
- [j4]Mohamed Amine Chatti
, Mouadh Guesmi
Visualization for Recommendation Explainability: A Survey and New Perspectives. ACM Trans. Interact. Intell. Syst. 14(3): 19:1-19:40 (2024) - 2023
- [i5]Mohamed Amine Chatti, Volkan Yücepur, Arham Muslim, Mouadh Guesmi, Shoeb Ahmed Joarder:
Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications. CoRR abs/2303.12388 (2023) - [i4]Mohamed Amine Chatti, Arham Muslim, Manpriya Guliani, Mouadh Guesmi:
The LAVA Model: Learning Analytics Meets Visual Analytics. CoRR abs/2303.12392 (2023) - [i3]Arham Muslim, Mohamed Amine Chatti, Mouadh Guesmi:
Open Learning Analytics: A Systematic Literature Review and Future Perspectives. CoRR abs/2303.12395 (2023) - [i2]Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd, Thao Ngo, Shoeb Ahmed Joarder, Qurat Ul Ain, Arham Muslim:
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System. CoRR abs/2304.00969 (2023) - [i1]Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim:
Visualization for Recommendation Explainability: A Survey and New Perspectives. CoRR abs/2305.11755 (2023) - 2022
- [j3]Arham Muslim, Mohamed Amine Chatti, Ulrik Schroeder:
Supporting Indicator Personalization and Platform Extensibility in Open Learning Analytics. Technol. Knowl. Learn. 27(2): 429-448 (2022) - [c12]Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Thao Ngo, Shoeb Ahmed Joarder, Qurat Ul Ain, Arham Muslim:
Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study. UMAP (Adjunct Publication) 2022: 175-183 - [c11]Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd, Thao Ngo, Shoeb Ahmed Joarder, Qurat Ul Ain, Arham Muslim:
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System. UMAP 2022: 254-264 - 2021
- [c10]Mouadh Guesmi, Mohamed Amine Chatti, Yiqi Sun, Shadi Zumor, Fangzheng Ji, Arham Muslim, Laura Vorgerd, Shoeb Ahmed Joarder:
Open, Scrutable and Explainable Interest Models for Transparent Recommendation. IUI Workshops 2021 - [c9]Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Ahmed Joarder, Qurat Ul Ain, Thao Ngo, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim:
Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details. IntRS@RecSys 2021: 55-72 - [c8]Mohamed Amine Chatti, Fangzheng Ji, Mouadh Guesmi, Arham Muslim, Ravi Kumar Singh, Shoeb Ahmed Joarder:
SIMT: A Semantic Interest Modeling Toolkit. UMAP (Adjunct Publication) 2021: 75-78 - [c7]Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Ahmed Joarder, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim:
On-demand Personalized Explanation for Transparent Recommendation. UMAP (Adjunct Publication) 2021: 246-252 - 2020
- [c6]Mohamed Amine Chatti, Arham Muslim, Mouadh Guesmi, Florian Richtscheid, Dawood Nasimi, Amin Shahin, Ritesh Damera:
How to Design Effective Learning Analytics Indicators? A Human-Centered Design Approach. EC-TEL 2020: 303-317
2010 – 2019
- 2018
- [j2]Arham Muslim, Mohamed Amine Chatti, Muhammad Bassim Bashir, Oscal Eduardo Barrios Varela, Ulrik Schroeder
A Modular and Extensible Framework for Open Learning Analytics. J. Learn. Anal. 5(1) (2018) - 2017
- [c5]Arham Muslim, Mohamed Amine Chatti, Memoona Mughal, Ulrik Schroeder
The Goal - Question - Indicator Approach for Personalized Learning Analytics - . CSEDU (1) 2017: 371-378 - 2016
- [c4]Arham Muslim, Mohamed Amine Chatti, Tanmaya Mahapatra
A rule-based indicator definition tool for personalized learning analytics. LAK 2016: 264-273 - 2014
- [j1]Junaid Ansari, Elena Meshkova, Wasif Masood, Arham Muslim, Janne Riihijärvi, Petri Mähönen:
CONFab: Ontology and component based optimization of WSN protocol stacks with deployment feedback. Comput. Networks 74: 89-108 (2014) - [c3]Vlatko Lukarov, Mohamed Amine Chatti, Hendrik Thüs, Fatemeh Salehian Kia, Arham Muslim, Christoph Greven, Ulrik Schroeder:
Data Models in Learning Analytics. DeLFI Workshops 2014: 88-95 - 2013
- [c2]Anna Lea Dyckhoff, Vlatko Lukarov, Arham Muslim, Mohamed Amine Chatti, Ulrik Schroeder
Supporting action research with learning analytics. LAK 2013: 220-229 - 2012
- [c1]Junaid Ansari, Elena Meshkova, Wasif Masood, Arham Muslim, Janne Riihijärvi, Petri Mähönen:
CONFab: component based optimization of WSN protocol stacks using deployment feedback. MOBIWAC 2012: 19-28
Coauthor Index
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last updated on 2024-11-07 20:35 CET by the dblp team
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