A Spatiotemporal Graph Neural Network for Early Cancer Detection via Cytokine Signaling Dynamics
| Thesis title in Czech: | Časoprostorová grafová neuronová síť pro včasnou detekci rakoviny prostřednictvím dynamiky cytokinové signalizace |
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| Thesis title in English: | A Spatiotemporal Graph Neural Network for Early Cancer Detection via Cytokine Signaling Dynamics |
| Key words: | strojové učení; evoluční psychologie; lidské chování |
| English key words: | machine learning; evolutionary psychology; human behavior |
| Academic year of topic announcement: | 2019/2020 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Department of Theoretical Computer Science and Mathematical Logic (32-KTIML) |
| Supervisor: | Mgr. Roman Neruda, CSc. |
| Author: |
| Guidelines |
| The goal of this thesis is application of machine learning in Evolutionary psychology research in cooperation with Department of Parasitology, Faculty of Science.
The main task is to find new, initially unforeseen traits and correlations in tested populations. The student will develop a complete machine learning workflow that allows to solve supervised and unsupervised learning tasks on the datasets collected from empirical and clinical research. |
| References |
| Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning. The MIT Press. 2016.
Stuart J. Russell: Artificial Intelligence: A Modern Approach, 3rd ed., Prentice Hall, 2010. Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome: The Elements of Statistical Learning, 2nd ed., Springer, 2009. |