Muhammad Suffian Nizami

According to our database, Muhammad Suffian Nizami authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained].

Ilia Stepin, Muhammad Suffian Nizami, Alejandro Catalá, Jose Maria Alonso-Moral

IEEE Comput. Intell. Mag., February, 2024

Introducing User Feedback-based Counterfactual Explanations (UFCE).

Muhammad Suffian Nizami, Jose Maria Alonso-Moral, Alessandro Bogliolo

CoRR, 2024

2023

Toward enriched Cognitive Learning with XAI.

Muhammad Suffian Nizami, Ulrike Kuhl, Jose Maria Alonso-Moral, Alessandro Bogliolo

CoRR, 2023

Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders (SHORT PAPER).

Christel Sirocchi, Federica Biancucci, Matteo Donati, Nunzio D'Amore, Riccardo Benedetti, Alessandro Bogliolo, Stefano Ferretti, Mauro Magnani, Michele Menotta, Muhammad Suffian Nizami, Sara Montagna

Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

Investigating Human-Centered Perspectives in Explainable Artificial Intelligence.

Muhammad Suffian Nizami, Ilia Stepin, Jose Maria Alonso-Moral, Alessandro Bogliolo

Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), 2023

2022

Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI).

Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo

CoRR, 2022

FCE: Feedback Based Counterfactual Explanations for Explainable AI.

Muhammad Suffian Nizami, Pierluigi Graziani, Jose Maria Alonso-Moral, Alessandro Bogliolo

IEEE Access, 2022

Discovering Lexical Similarity Using Articulatory Feature-Based Phonetic Edit Distance.

Tafseer Ahmed, Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo

IEEE Access, 2022

Machine learning for automated gating of flow cytometry data.

Muhammad Suffian Nizami, Sara Montagna, Alessandro Bogliolo, Claudio Ortolani, Stefano Papa, Mario D'Atri

Proceedings of the 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), 2022

Investigation and Mitigation of Bias in Explainable AI (short paper).

Muhammad Suffian Nizami, Alessandro Bogliolo

Proceedings of 1st Workshop on Bias, 2022

2021

Automated Prediction of Good Dictionary EXamples (GDEX): A Comprehensive Experiment with Distant Supervision, Machine Learning, and Word Embedding-Based Deep Learning Techniques.

Muhammad Yaseen Khan, Abdul Qayoom, Muhammad Suffian Nizami, Muhammad Shoaib Siddiqui, Shaukat Wasi, Syed Muhammad Khaliq-ur-Rahman Raazi

Complex., 2021

2020

Discovering Lexical Similarity Through Articulatory Feature-based Phonetic Edit Distance.

Tafseer Ahmed, Muhammad Suffian Nizami, Muhammad Yaseen Khan

CoRR, 2020

2019

Towards a Generic Approach for PoS-Tagwise Lexical Similarity of Languages.

Muhammad Suffian Nizami, Muhammad Yaseen Khan, Tafseer Ahmed

Proceedings of the Intelligent Technologies and Applications, 2019