Knowlege Graph about AI Research, built via web scraping, entity resolution, external KG linkage, ontology generation and RDF deployment. Includes PageRank, Topic Modeling, Recommender System and UI.
Detecting emotion in speech using Neural Networks with trainable Mel Frequency Cepstrum Coefficients (MFFC) layers.
Detecting network hacking through unsupervised learning with Autoencoders and Scaled Exponential Linear Units (SELUs).
Coded the 2048 game and built a Monte-Carlo-Tree-Search AI to play, then simulated matches and used them to train a Neural Network that plays much faster.
Employing web scraping techniques to filter and assess the speeches of NY Governor Andrew Cuomo and NY Mayor Bill de Blasio during the covid-19 pandemic.
Employing transfer learning (Xception and GloVe) to automatically extract image and text features used to train a neural network capable of captioning images.
Colorizing grayscale images with Convolutional Neural Networks.
Performing A/B testing to analyse the impact of displaying customer comments and evaluations on product sales.
Cross-source entity resolution with Probabilistic Soft Logic (PSL), employing external attributes for collective entity resolution.
Training a Neural Network to selectively apply extractors to text for automated information mining.