Developed with the UROP, Detecting Deep Learning Software Defects (Spring 2019), HKUST
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Updated
Dec 24, 2020 - Jupyter Notebook
Developed with the UROP, Detecting Deep Learning Software Defects (Spring 2019), HKUST
Experiments for paper: A Survey and Analysis of Evolutionary Operators for Permutations
Code and experiment data from the paper: "On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection"
PUBLIC | FCTUC DEI/LEI 2020/2021 - Licenciatura em Engenharia Informatica | FIA - Fundamentos de Inteligência Artificial | Trabalhos: 1. Agentes Reativos; 2. Agentes Adaptativos
Deliverables relating to the Machine Learning Introduction and Classification University Unit
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