Fagområder
Emner
Databehandling Maskinlæring Robotikk Intelligente systemer Kombinatorisk optimalisering Bio Inspired Algorithms Artificial Intelligence Multi-Objective Optimization Deep learning Artificial Neural Networks Quantum computing
Forskningsgrupper
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
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
(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
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
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
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.
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: 9781728159348.
120 s.
IEEE (Institute of Electrical and Electronics Engineers).
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