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Mouadh Guesmi
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2020 – today
- 2024
- [j5]Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Qurat Ul Ain, Rawaa Alatrash, Clara Siepmann, Tannaz Vahidi:
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System. Int. J. Hum. Comput. Interact. 40(22): 7248-7269 (2024) - [j4]Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim:
Visualization for Recommendation Explainability: A Survey and New Perspectives. ACM Trans. Interact. Intell. Syst. 14(3): 19:1-19:40 (2024) - 2023
- [j3]Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh, Rawaa Alatrash:
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System. Inf. 14(7): 401 (2023) - [j2]Mouadh Guesmi, Mohamed Amine Chatti, Lamees Kadhim, Shoeb Ahmed Joarder, Qurat Ul Ain:
Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders. Multimodal Technol. Interact. 7(9): 91 (2023) - [c11]Mouadh Guesmi, Clara Siepmann, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Qurat Ul Ain, Rawaa Alatrash:
Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study. UMAP (Adjunct Publication) 2023: 229-238 - [i7]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) - [i6]Mohamed Amine Chatti, Arham Muslim, Manpriya Guliani, Mouadh Guesmi:
The LAVA Model: Learning Analytics Meets Visual Analytics. CoRR abs/2303.12392 (2023) - [i5]Arham Muslim, Mohamed Amine Chatti, Mouadh Guesmi:
Open Learning Analytics: A Systematic Literature Review and Future Perspectives. CoRR abs/2303.12395 (2023) - [i4]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) - [i3]Mohamed Amine Chatti, Mouadh Guesmi, Arham Muslim:
Visualization for Recommendation Explainability: A Survey and New Perspectives. CoRR abs/2305.11755 (2023) - [i2]Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh, Rawaa Alatrash:
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System. CoRR abs/2305.17034 (2023) - [i1]Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Qurat Ul Ain, Rawaa Alatrash, Clara Siepmann, Tannaz Vahidi:
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System. CoRR abs/2306.05809 (2023) - 2022
- [j1]Mouadh Guesmi, Mohamed Amine Chatti, Alptug Tayyar, Qurat Ul Ain, Shoeb Ahmed Joarder:
Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach. Multimodal Technol. Interact. 6(6): 42 (2022) - [c10]Qurat Ul Ain, Mohamed Amine Chatti, Shoeb Ahmed Joarder, Ilia Nassif, Benjamine Stella Wobiwo Teda, Mouadh Guesmi, Rawaa Alatrash:
Learning Channels to Support Interaction and Collaboration in CourseMapper. ICETC 2022: 252-260 - [c9]Qurat Ul Ain, Mohamed Anime Chati, Mouadh Guesmi, Shoeb Ahmed Joarder:
A Multi-Dimensional Conceptualization Framework for Personalized Explanations in Recommender Systems 11-23. IUI Workshops 2022: 11-23 - [c8]Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Ahmed Joarder, Qurat Ul Ain, Rawaa Alatrash:
What if Interactive Explanation in a Scientific Literature Recommender System. IntRS@RecSys 2022: 104-121 - [c7]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 - [c6]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
- [c5]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 - [c4]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 - [c3]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 - [c2]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
- [c1]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
Coauthor Index
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last updated on 2024-12-23 20:28 CET by the dblp team
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