tda-nn-analysis
A collection of experiments that use persistent homology and topological data analysis to study how knowledge transfers across CNN architectures and optimization landscapes.
Tools, models, and odd machines from the lab bench. Filter by tag to inspect.
A collection of experiments that use persistent homology and topological data analysis to study how knowledge transfers across CNN architectures and optimization landscapes.
Bioinspired optimization algorithms tuned to learn feature weights that improve 1-nearest-neighbour classification accuracy.
Deep segmentation models applied to aerial imagery for detecting parked vehicles across Granada, comparing U-Net, PSPNet and DeepLab v3+.
A modified Parcheesi board game with AI opponents that plan moves using Minimax search with Alpha-Beta pruning.
A gesture-driven information kiosk for the ETSIIT faculty, built with Leap Motion hand tracking, Express and vanilla web technologies.
Bachelor's thesis research on regularizing and transferring CNN representations using topological priors and persistent homology.
A goal-directed agent for Belkan Worlds that plans routes to visit as many targets as possible within the time limit.
A reactive exploration agent that maps out Belkan Worlds using local perception instead of centralized planning.
A space combat card game with a Swing GUI, built for the UGR object-oriented programming course in Java.
A Ruby implementation of the Deepspace card game, exploring object-oriented design patterns and clean class hierarchies.
A comparative machine-learning study for detecting fraudulent credit card transactions in highly imbalanced datasets.
A cross-platform Android app for navigating ETSIIT services, combining Flutter, a Dialogflow chat assistant and device sensors.
A VoiceXML spoken-information system that answers questions about the University of Granada's ETSIIT over the phone.
A responsive Netflix UI clone built with Flutter to practice adaptive mobile layouts and component composition.
A personal archive of notes, exercises and projects from the Computer Science and Mathematics degree at UGR.
Worked solutions and notes for Asabeneh Yetayeh's '30 Days of Python' course, covering fundamentals and small projects.
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