English version
Kazi Shah Nawaz Ripon

Kazi Shah Nawaz Ripon

Fagområder

Emner

Databehandling   Maskinlæring   Robotikk   Intelligente systemer   Kombinatorisk optimalisering   Bio Inspired Algorithms   Artificial Intelligence   Multi-Objective Optimization   Deep learning   Artificial Neural Networks   Quantum computing

Publikasjoner og forskningsresultater

Vitenskapelige publikasjoner

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 conference proceedings.
https://doi.org/10.1109/CEC60901.2024.10612191

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. s. 178-187. Swedish Artificial Intelligence Society. https://doi.org/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- IEEE conference proceedings.
https://doi.org/10.1109/ICAPAI61893.2024.10541216

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 conference proceedings.
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/https://doi.org/10.1007/978-981-19

Mukherjee, Arnab; Ripon, Kazi Shah Nawaz ; Ershad Ali, Lasker; 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

Issa, Razin Bin; Das, Modhumonty; Rahman, Md. Saferi; Barua, Monika; Rhaman, Md. Khalilur; Ripon, Kazi Shah Nawaz ; Alam, Md Golam Rabiul (2021). Double Deep Q-Learning and Faster R-CNN-Based Autonomous Vehicle Navigation and Obstacle Avoidance in Dynamic Environment. 24 s. Sensors. Vol. 21.
https://doi.org/10.3390/s21041468

Colomo-Palacios, Ricardo; Ripon, Kazi Shah Nawaz (2021). Proceedings of the International Conference on Applied Artificial Intelligence (ICAPAI) 2021. ISBN: 978-1-7281-5934-8. 120 s. IEEE conference proceedings.
https://doi.org/10.1109/ICAPAI49758.2021

Ripon, Kazi Shah Nawaz ; Ali, Lasker Ershad; Siddique, Nazmul; Ma, Jinwen (2019). Convolutional Neural Network based Eye Recognition from Distantly Acquired Face Images for Human Identification. Jayne, Chrisina; Somogyvári, Zoltán (Red.). 2019 International Joint Conference on Neural Networks (IJCNN) . IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/IJCNN.2019.8852190





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