2024
Multi-Model Attentional Fusion Ensemble for Accurate Skin Cancer Classification
IEEE Access, vol. 12, pp. 181009-181024
Iftekhar Ahmed, Biggo Bushon Routh, Md. Saidur Rahman Kohinoor, Shadman Sakib, Md Mahfuzur Rahman and Farag Azzedin
Our published research
Peer-reviewed papers, extended abstracts and work in progress from across the lab in AI, machine learning and intelligent systems.
Journal articles (2)
- 2024
Multi-Faceted Approach to Cardiovascular Risk Assessment by Utilizing Predictive Machine Learning and Clinical Data in a Unified Web Platform
IEEE Access, vol. 12, pp. 120454-120473
Khadiza Akther, Md. Saidur Rahman Kohinoor, Bushra Siddika Priya, Md. Jamaner Rahaman, Md. Mahfuzur Rahman and Md. Shafiullah
Conference papers (5)
- 2024
Feature Importance and Correlation for Enhancing ML Performance in Predictive Healthcare Analytics
2024 27th International Conference on Computer and Information Technology (ICCIT)
Khadiza Akther, Md Saidur Rahman Kohinoor, Sajid Al-hafiz and Humayra Nisa
- 2024
PAKE: PoS-Tagger Augmented Keyword Extraction System
2024 IEEE Conference on Computing Applications and Systems (COMPAS), Cox's Bazar, Bangladesh, 2024, pp. 1-7
Md Saidur Rahman Kohinoor, Ayesha Loylus Miah, Shah Foyez Ali, Md. Sabir Hossain, Md. Hasan Imam Bijoy and Shadman Sakib
- 2024
Predictive Modeling for Depression Diagnosis Using Machine Learning and DSM-5 Criteria
2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 20-22 December 2024
Murchona Acharjee, Showmik Debnath, Sujoy Chandra Das, Rana M Luthfur Rahman Pir and Md. Saidur Rahman Kohinoor
- 2024
Deep Learning and Context-Aware Mobile Computing for Improved Academic Supervisory Processes
Innovations in Electrical and Electronics Engineering. ICEEE 2024. Lecture Notes in Electrical Engineering, vol 1295, pp 469–483, Springer, Singapore
Nayem Ali, Md. Mahdi Hossain Hira, Irin Shorme, Md. Abdul Munim and Md. Saidur Rahman Kohinoor
- 2024
Comprehensive Analysis of Machine and Deep Learning Models for Breast Cancer Diagnosis and Risk Assessment with Diverse Datasets
2024 4th International Conference on Intelligent Technologies (CONIT), pp. 1-7
Rajon Dash, Md Saidur Rahman Kohinoor and Promise Ghosh Chowdhury