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2020 – today
- 2026
[j6]Fakhrud Din, Fida Ur Rahman, Dost Muhammad
, Mohammad Hasan Ali, Mushtaq Ali, Malika Bendechache:
Optimizing Fast Learning Network Using Fuzzy Adaptive Metaheuristic Algorithms for Robust Intrusion Detection. Appl. Comput. Intell. Soft Comput. 2026(1) (2026)- [j5]Muhammad Kashif, Dost Muhammad:
Artificial intelligence and ethical dilemmas in sustainable tourism: insights from an emerging destination in the Global South. AI Ethics 6(3): 267 (2026) - [j4]Asad Ali, Dost Muhammad, Mushtaq Ali, Fakhrud Din:
Impact of class balancing techniques or events per variable ratio on the conclusion of the software faults prediction models. Innov. Syst. Softw. Eng. 22(1): 1 (2026) - [c4]Dost Muhammad, Pinar Akdemir Ozisik, Ayse Keles, Iftikhar Ahmad, Malika Bendechache:
Clinalignnet: A Clinician-Interactive Framework for Faithful and Aligned Explainability in MRI. ISBI 2026: 1-5 - 2025
- [j3]Dost Muhammad, Iftikhar Ahmed, Khwaja Naveed, Malika Bendechache:
Explainable AI Models for Decoding Emotional Subtexts on Social Media. Complex. 2025(1) (2025) - [j2]Mushtaq Ali, Dost Muhammad, Osamah Ibrahim Khalaf, Raja Habib:
Optimizing Mobile Cloud Computing: A Comparative Analysis and Innovative Cost-Efficient Partitioning Model. SN Comput. Sci. 6(1): 43 (2025) - [j1]Dost Muhammad, Iftikhar Ahmed, Muhammad Ovais Ahmad, Malika Bendechache:
Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis. IEEE J. Biomed. Health Informatics 29(9): 6474-6481 (2025) - [c3]Dost Muhammad, Muhammad Salman, Malika Bendechache:
High Cost, Low Trust? MSA-PNet Fixes Both for Medical Imaging. EXPLIMED@ECAI 2025 - [c2]Dost Muhammad, Malika Bendechache:
Can AI Be Faster, Accurate, and Explainable? SpikeNet Makes it Happen. MIUA (2) 2025: 43-57 - 2024
- [c1]Dost Muhammad, Ayse Keles, Malika Bendechache:
Towards Explainable Deep Learning in Oncology: Integrating EfficientNet-B7 with XAI techniques for Acute Lymphoblastic Leukaemia. EXPLIMED@ECAI 2024
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