Muhammad Suffian Nizami

23 papers B 1Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Explainable 3D-Deep Learning Model for EEG Decoding in Brain-Computer Interface Applications.
Int. J. Neural Syst.
Muhammad Suffian Nizami, Cosimo Ieracitano, Francesco Carlo Morabito, Nadia Mammone
2025 B conf
Movie-ing the EEG: a Hybrid CNN-Transformer-based Framework for decoding EEG signals for BCI applications.
IJCNN
Muhammad Suffian Nizami, Cosimo Ieracitano, Francesco Carlo Morabito, Nadia Mammone
2025 J jnl
TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification.
Neurocomputing
Cosimo Ieracitano, Francesco Carlo Morabito, Amir Hussain, Muhammad Suffian Nizami, Nadia Mammone
2025 J jnl
The role of user feedback in enhancing understanding and trust in counterfactual explanations for explainable AI.
Int. J. Hum. Comput. Stud.
Muhammad Suffian Nizami, Ulrike Kuhl, Alessandro Bogliolo, Jose Maria Alonso-Moral
2024 — conf
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care.
EXPLIMED@ECAI
Christel Sirocchi, Muhammad Suffian Nizami, Federico Sabbatini, Alessandro Bogliolo, Sara Montagna
2024 J jnl
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care.
CoRR
Christel Sirocchi, Muhammad Suffian Nizami, Federico Sabbatini, Alessandro Bogliolo, Sara Montagna
2024 J jnl
How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained].
IEEE Comput. Intell. Mag.
Ilia Stepin, Muhammad Suffian Nizami, Alejandro Catalá, Jose Maria Alonso-Moral
2024 J jnl
Introducing User Feedback-Based Counterfactual Explanations (UFCE).
Int. J. Comput. Intell. Syst.
Muhammad Suffian Nizami, Jose Maria Alonso-Moral, Alessandro Bogliolo
2024 J jnl
Introducing User Feedback-based Counterfactual Explanations (UFCE).
CoRR
Muhammad Suffian Nizami, Jose Maria Alonso-Moral, Alessandro Bogliolo
2023 — conf
CL-XAI: Toward Enriched Cognitive Learning with Explainable Artificial Intelligence.
SEFM Workshops
Muhammad Suffian Nizami, Ulrike Kuhl, Jose Maria Alonso-Moral, Alessandro Bogliolo
2023 — conf
Interpretable Machine Learning for Automated Cellular Population Analysis in Flow Cytometry.
CIBB
Riccardo Benedetti, Muhammad Suffian Nizami, Alessandro Bogliolo, Barbara Canonico, Stefano Papa, Claudio Ortolani, Sara Montagna
2023 — conf
Investigating Human-Centered Perspectives in Explainable Artificial Intelligence.
XAI.it@AI*IA
Muhammad Suffian Nizami, Ilia Stepin, Jose Maria Alonso-Moral, Alessandro Bogliolo
2023 — conf
Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders (SHORT PAPER).
HC@AIxIA
Christel Sirocchi, Federica Biancucci, Matteo Donati, Nunzio D'Amore, Riccardo Benedetti, Alessandro Bogliolo, Stefano Ferretti, Mauro Magnani, Michele Menotta, Muhammad Suffian Nizami, Sara Montagna
2023 — conf
Molecular Fingerprints-Based Machine Learning for Metabolic Profiling.
PKDD/ECML Workshops (4)
Christel Sirocchi, Federica Biancucci, Muhammad Suffian Nizami, Riccardo Benedetti, Matteo Donati, Stefano Ferretti, Alessandro Bogliolo, Mauro Magnani, Michele Menotta, Sara Montagna
2023 J jnl
Toward enriched Cognitive Learning with XAI.
CoRR
Muhammad Suffian Nizami, Ulrike Kuhl, Jose Maria Alonso-Moral, Alessandro Bogliolo
2022 J jnl
Discovering Lexical Similarity Using Articulatory Feature-Based Phonetic Edit Distance.
IEEE Access
Tafseer Ahmed, Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo
2022 J jnl
FCE: Feedback Based Counterfactual Explanations for Explainable AI.
IEEE Access
Muhammad Suffian Nizami, Pierluigi Graziani, Jose Maria Alonso-Moral, Alessandro Bogliolo
2022 — conf
Investigation and Mitigation of Bias in Explainable AI (short paper).
BEWARE@AI*IA
Muhammad Suffian Nizami, Alessandro Bogliolo
2022 — conf
Machine learning for automated gating of flow cytometry data.
HC@AIxIA
Muhammad Suffian Nizami, Sara Montagna, Alessandro Bogliolo, Claudio Ortolani, Stefano Papa, Mario D'Atri
2022 J jnl
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI).
CoRR
Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo
2021 J jnl
Automated Prediction of Good Dictionary EXamples (GDEX): A Comprehensive Experiment with Distant Supervision, Machine Learning, and Word Embedding-Based Deep Learning Techniques.
Complex.
Muhammad Yaseen Khan, Abdul Qayoom, Muhammad Suffian Nizami, Muhammad Shoaib Siddiqui, Shaukat Wasi, Syed Muhammad Khaliq-ur-Rahman Raazi
2020 J jnl
Discovering Lexical Similarity Through Articulatory Feature-based Phonetic Edit Distance.
CoRR
Tafseer Ahmed, Muhammad Suffian Nizami, Muhammad Yaseen Khan
2019 — conf
Towards a Generic Approach for PoS-Tagwise Lexical Similarity of Languages.
INTAP
Muhammad Suffian Nizami, Muhammad Yaseen Khan, Tafseer Ahmed