Towards a Generic Approach for PoS-Tagwise Lexical Similarity of Languages. - Muhammad Suffian Nizami; Muhammad Yaseen Khan; Tafseer Ahmed (INTAP, 2019)

Discovering Lexical Similarity Through Articulatory Feature-based Phonetic Edit Distance. - Tafseer Ahmed; Muhammad Suffian Nizami; Muhammad Yaseen Khan (CoRR, 2020)

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)

Investigation and Mitigation of Bias in Explainable AI (short paper). - Muhammad Suffian Nizami; Alessandro Bogliolo (BEWARE@AI*IA, 2022)

Machine learning for automated gating of flow cytometry data. - Muhammad Suffian Nizami; Sara Montagna; Alessandro Bogliolo; Claudio Ortolani; Stefano Papa; Mario D'Atri (HC@AIxIA, 2022)

Discovering Lexical Similarity Using Articulatory Feature-Based Phonetic Edit Distance. - Tafseer Ahmed; Muhammad Suffian Nizami; Muhammad Yaseen Khan; Alessandro Bogliolo (IEEE Access, 2022)

FCE: Feedback Based Counterfactual Explanations for Explainable AI. - Muhammad Suffian Nizami; Pierluigi Graziani; Jose Maria Alonso-Moral; Alessandro Bogliolo (IEEE Access, 2022)

Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI). - Muhammad Suffian Nizami; Muhammad Yaseen Khan; Alessandro Bogliolo (CoRR, 2022)

Investigating Human-Centered Perspectives in Explainable Artificial Intelligence. - Muhammad Suffian Nizami; Ilia Stepin; Jose Maria Alonso-Moral; Alessandro Bogliolo (XAI.it@AI*IA, 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 (HC@AIxIA, 2023)

Interpretable Machine Learning for Automated Cellular Population Analysis in Flow Cytometry. - Riccardo Benedetti; Muhammad Suffian Nizami; Alessandro Bogliolo; Barbara Canonico; Stefano Papa; Claudio Ortolani; Sara Montagna (CIBB, 2023)

Molecular Fingerprints-Based Machine Learning for Metabolic Profiling. - Christel Sirocchi; Federica Biancucci; Muhammad Suffian Nizami; Riccardo Benedetti; Matteo Donati; Stefano Ferretti; Alessandro Bogliolo; Mauro Magnani; Michele Menotta; Sara Montagna (PKDD/ECML Workshops (4), 2023)

CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence. - Muhammad Suffian Nizami; Ulrike Kuhl; Jose Maria Alonso-Moral; Alessandro Bogliolo (SEFM Workshops, 2023)

Toward enriched Cognitive Learning with XAI. - Muhammad Suffian Nizami; Ulrike Kuhl; Jose Maria Alonso-Moral; Alessandro Bogliolo (CoRR, 2023)

Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care. - Christel Sirocchi; Muhammad Suffian Nizami; Federico Sabbatini; Alessandro Bogliolo; Sara Montagna (EXPLIMED@ECAI, 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., 2024)

Introducing User Feedback-Based Counterfactual Explanations (UFCE). - Muhammad Suffian Nizami; Jose Maria Alonso-Moral; Alessandro Bogliolo (Int. J. Comput. Intell. Syst., 2024)

The role of user feedback in enhancing understanding and trust in counterfactual explanations for explainable AI. - Muhammad Suffian Nizami; Ulrike Kuhl; Alessandro Bogliolo; Jose Maria Alonso-Moral (Int. J. Hum. Comput. Stud., 2025)

TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification. - Cosimo Ieracitano; Francesco Carlo Morabito; Amir Hussain 001; Muhammad Suffian Nizami; Nadia Mammone (Neurocomputing, 2025)