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What I'm working on:

  • p-classwise: Lead Software Developer on a team project to build an all-encompassing scheduling app for the Claremont Colleges (React, Flask).

  • Hungry: Co-Founding an iPhone app assisting college students in building and maintaining real connections through mealtimes (Swift).

Fields of interest covered by current and past projects:

  • Building user-facing apps to improve aspects of college life.

  • Applying Adversarial Attack methodology from computer vision to time series data.

  • Using Neural Networks to forecast continous data (Soccer Scorelines, Atmospheric Ozone Levels, Dining Hall Demand)

  • Natural Language Processing and Text Based Classification.

Yotam Twersky's Projects

classification-models icon classification-models

I built the binary classification models in the ml/classifiers folder alongside a partner, Tal Mordokh, employing the starter code: Classifier.java, ClassifierFactory.java, DecisionTreeNode.java and the entire ml/data folder. These are several binary classifier approaches with OVA and AVA piggybacking on them to allow multi-class classification.

ts_adv icon ts_adv

Codebase for the paper "Adversarial Attacks on Time Series"

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