Kazi Shah Nawaz Ripon

Vitenskapelige publikasjoner

Hossain, Rakib; Ali, Lasker Ershad; Ripon, Kazi Shah Nawaz (2025). Risk-Controlled Multimodal Emotion Coaching for Autism Support Using Self-Supervised Vision and Speech Encoders. Xue, Bing; Zhao, Junhong; Bi, Ying (Red.). 2025 40th International Conference on Image and Vision Computing New Zealand (IVCNZ). s. 1-7. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/ivcnz67716.2025.11281826

Ullah, Md. Ahsan; Ripon, Kazi Shah Nawaz ; Ali, Lasker Ershad; Rahman, Md. Azizur; Islam, Md. Zahidul; Ma, Jinwen (2025). Efficient Brain Tumor Detection in MR Images Using Deep Feature-Extracted Machine Learning. Aktan, Mehmet (Red.). 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). s. 417-424. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/acdsa65407.2025.11166655

Hossain, Rakib; Ali, Lasker Ershad; Ripon, Kazi Shah Nawaz ; Bulbul, Md. Farhad; Tonmoy, Md. Mehedi Hasan (2025). Profit-Optimal Machine Learning for Purchase Intent Prediction: Calibration, Temporal Validation, and Economic Constraints. Karim, Mohammad A; Alam, Mohammad S; Shahnaz, Celia (Red.). 2025 28th International Conference on Computer and Information Technology. IEEE (Institute of Electrical and Electronics Engineers).
https://hdl.handle.net/11250/5343713

Sorano, Ruslan; Ripon, Kazi Shah Nawaz ; Magnusson, Lars Vidar (2024). Evolutionary Optimization of Artificial Neural Networks and Tree-Based Ensemble Models for Diagnosing Deep Vein Thrombosis. Westphal, Florian; Peretz-Andersson, Einav; Riveiro, Maria; Bach, Kerstin; Heintz, Fredrik (Red.). 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. s. 178-187. Swedish Artificial Intelligence Society.
https://doi.org/10.3384/ecp208020

Sorano, Ruslan; Ripon, Kazi Shah Nawaz ; Magnusson, Lars Vidar; Halstensen, Thor-David; Ghanima, Waleed (2024). Enhancing Deep Vein Thrombosis Diagnosis with Multi-Objective Evolutionary Algorithm and Machine Learning. Ogul, Hasan; Aamodt, Jonas Moræus; Misra, Sanjay; Kjølerbakken, Kai Morgan (Red.). 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI). s. 1-1. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/ICAPAI61893.2024.10541216

Sorano, Ruslan; Ripon, Kazi Shah Nawaz ; Magnusson, Lars Vidar (2024). Multi-Objective Evolutionary Optimization for Tuning Hyperparameters and Reducing Features in Prediction of Deep Vein Thrombosis. Xue, Bing (Red.). 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/CEC60901.2024.10612191

Ripon, Kazi Shah Nawaz ; Singh, Ashay (2023). Quantum Representation Based Job Shop Scheduling. Yu, Wen (Red.). 2023 IEEE Symposium Series on Computational Intelligence (SSCI). s. 1227-1233. IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/SSCI52147.2023.10371799

Sorano, Ruslan; Ripon, Kazi Shah Nawaz ; Magnusson, Lars Vidar (2023). Evolutionary Multi-objective Optimization of Hyperparameters for Decision Support in Healthcare. Kulkarni, Anand J; Gandomi, Amir H. (Red.). Handbook of Formal Optimization. Springer Nature.
https://doi.org/10.1007/978-981-19-8851-6_28-2

Mukherjee, Arnab; Ripon, Kazi Shah Nawaz ; Ali, Lasker Ershad; Islam, Md. Zahidul; Mamun-Al-Imran, G. M. (2022). Image Gradient Based Iris Recognition for Distantly Acquired Face Images using Distance Classifiers. Gervasi, Osvaldo; Murgante, Beniamino; Misra, Sanjay; Rocha, Ana Maria A.C.; Garau, Chiara (Red.). Computational Science and Its Applications – ICCSA 2022 Workshops, Part V. s. 239-252. Springer Nature.
https://doi.org/10.1007/978-3-031-10548-7_18

Wisløff, Erling Harald; Aarsnes, Marius; Ripon, Kazi Shah Nawaz ; Haddow, Pauline (2022). Extending the Push and Pull Search Framework with Boundary Search for Constrained Multi-Objective Optimization. Fieldsend, Jonathan E (Red.). GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. s. 367-370. Association for Computing Machinery (ACM).
https://doi.org/10.1145/3520304.3528950