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  • Berliner Hochschule fรผr Technik
  • Berlin

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TeodorChiaburu/README.md

Hi there ๐Ÿ‘‹

My name is Teo. I am a Data Science graduate and since the end of 2021 a passionate PhD candidate in the field of explainable AI, aka XAI, at Berliner Hochschule fรผr Technik. Whenever I'm not working, I'm either dancing or teaching Salsa Cubana, playing table tennis or cooking a delicious meal ๐Ÿ˜‹

  • ๐Ÿ† I have just had the honor to represent my university at the CVPR 2022 in New Orleans with my very first paper.
  • ๐Ÿ”ญ Iโ€™m currently working on my next paper. The goal is to apply various XAI approaches on Deep Learning models trained to recognize wild bee species from photos ๐Ÿ (what is called Fine Grained Visual Recognition - FGVR) and analyze the uncertainty in the explanations generated. I am going to approach this via Concept Activation Vectors and Contrastive Learning Techniques.
  • ๐ŸŒฑ Iโ€™m currently learning to work with Docker and Kubernetes.
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on any XAI project (ideally embedded into the broader context of Computer Vision).
  • ๐Ÿ“ซ You can contact me through mail, on LinkedIn or XING. I also have a personal website.

Looking forward to hearing from you ;^)

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  1. beexplainable beexplainable Public

    XAI Experiments on an Annotated Dataset of Wild Bee Images

    HTML 17 1

  2. wingbeats wingbeats Public

    Package for training and validating ML models meant for hierarchical classification of insects based on wingbeat signals

    Python 1

  3. Webscraper_IMDB Webscraper_IMDB Public

    Project for Advanced Software Engineering, Master Data Science

    Python 1

  4. Google_Landmark_Classifier_2019 Google_Landmark_Classifier_2019 Public

    Building a ResNet50-Classifier in TensorFlow-Keras to tackle Google's classification challenge

    Jupyter Notebook

  5. Predicting_Bike_Rentals Predicting_Bike_Rentals Public

    Bike sharing dataset analyzed with Multilinear Regression, Random Forests and Time Series

    R

  6. Taylor_App Taylor_App Public

    An app to aproximate important functions using the Taylor series

    Java