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Muhammad Suffian Nizami
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Journal Articles
- 2024
- [j5]Ilia Stepin, Muhammad Suffian Nizami, Alejandro Catalá, Jose Maria Alonso-Moral:
How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]. IEEE Comput. Intell. Mag. 19(1): 81-82 (2024) - [j4]Muhammad Suffian Nizami, Jose Maria Alonso-Moral, Alessandro Bogliolo:
Introducing User Feedback-Based Counterfactual Explanations (UFCE). Int. J. Comput. Intell. Syst. 17(1): 123 (2024) - 2022
- [j3]Tafseer Ahmed, Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo:
Discovering Lexical Similarity Using Articulatory Feature-Based Phonetic Edit Distance. IEEE Access 10: 1533-1544 (2022) - [j2]Muhammad Suffian Nizami, Pierluigi Graziani, Jose Maria Alonso-Moral, Alessandro Bogliolo:
FCE: Feedback Based Counterfactual Explanations for Explainable AI. IEEE Access 10: 72363-72372 (2022) - 2021
- [j1]Muhammad Yaseen Khan, Abdul Qayoom, Muhammad Suffian Nizami, Muhammad Shoaib Siddiqui, Shaukat Wasi, Syed Muhammad Khaliq-ur-Rahman Raazi:
Automated Prediction of Good Dictionary EXamples (GDEX): A Comprehensive Experiment with Distant Supervision, Machine Learning, and Word Embedding-Based Deep Learning Techniques. Complex. 2021: 2553199:1-2553199:18 (2021)
Conference and Workshop Papers
- 2023
- [c6]Christel Sirocchi, Federica Biancucci, Matteo Donati, Nunzio D'Amore, Riccardo Benedetti, Alessandro Bogliolo, Stefano Ferretti, Mauro Magnani, Michele Menotta, Muhammad Suffian Nizami, Sara Montagna:
Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders (SHORT PAPER). HC@AIxIA 2023: 1-9 - [c5]Muhammad Suffian Nizami, Ilia Stepin, Jose Maria Alonso-Moral, Alessandro Bogliolo:
Investigating Human-Centered Perspectives in Explainable Artificial Intelligence. XAI.it@AI*IA 2023: 47-66 - [c4]Muhammad Suffian Nizami, Ulrike Kuhl, Jose Maria Alonso-Moral, Alessandro Bogliolo:
CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence. SEFM Workshops 2023: 5-27 - 2022
- [c3]Muhammad Suffian Nizami, Sara Montagna, Alessandro Bogliolo, Claudio Ortolani, Stefano Papa, Mario D'Atri:
Machine learning for automated gating of flow cytometry data. HC@AIxIA 2022: 47-56 - [c2]Muhammad Suffian Nizami, Alessandro Bogliolo:
Investigation and Mitigation of Bias in Explainable AI (short paper). BEWARE@AI*IA 2022: 89-94 - 2019
- [c1]Muhammad Suffian Nizami, Muhammad Yaseen Khan, Tafseer Ahmed:
Towards a Generic Approach for PoS-Tagwise Lexical Similarity of Languages. INTAP 2019: 493-501
Informal and Other Publications
- 2024
- [i4]Muhammad Suffian Nizami, Jose Maria Alonso-Moral, Alessandro Bogliolo:
Introducing User Feedback-based Counterfactual Explanations (UFCE). CoRR abs/2403.00011 (2024) - 2023
- [i3]Muhammad Suffian Nizami, Ulrike Kuhl, Jose Maria Alonso-Moral, Alessandro Bogliolo:
Toward enriched Cognitive Learning with XAI. CoRR abs/2312.12290 (2023) - 2022
- [i2]Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo:
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI). CoRR abs/2211.00103 (2022) - 2020
- [i1]Tafseer Ahmed, Muhammad Suffian Nizami, Muhammad Yaseen Khan:
Discovering Lexical Similarity Through Articulatory Feature-based Phonetic Edit Distance. CoRR abs/2008.06865 (2020)
Coauthor Index
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