Computational Intelligence in Data Analytics (CIDA)
Welcome to CIDA!
CIDA is a newly established unit at our chair. Here we work on computational intelligence methodologies for data analytics in bioinformatics and biology. Our goal is to develop new methodologies for behavioural, medical and veterinary data.
Team Members:
Dr. Rachel Brown (responsible and contact person)
Qihao Shan
Projects on various datasets:
- Behavioural Data (Mice on a Treadmill Project)
- Medical Data (Parkinson Study)
- Medical Data (Aneurysm Project)
- Medical Data (Long-Covid and Fatigability Project)
- Veterinary Data (Lameness in Dogs Study)
- Synthetic Data (Delta Project)
Click here for more information on the projects
Toolboxes:
- Multi-Objective Data Analysis (will be uploaded soon)
Publications:
- Tomoya Hömberg, Sanaz Mostaghim, Satoru Hiwa, Tomoyuki Hiroyasu
- Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES
- Accepted at IEEE World Congress on Computational Intelligence, Yokohama, Japan, 2024
- Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmeier
- Unfolding the Variability of Clinical Data in Parkinson Treatment using Multi-objective Analysis
- 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 120-121, doi: 10.1109/CAI54212.2023.00058
- Sanaz Mostaghim, Qihao Shan, Christiane Desel, Alexander Duscha, Aiden Haghikia, Tobias Hegelmeier, Felix Kuhn, Stefan Remy
- Medical and Behavioral Knowledge Discovery using Multi-Objective Analysis
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2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Eindhoven, Netherlands, 2023, pp. 1-8, doi: 10.1109/CIBCB56990.2023.10264881.
