Search Results for author: Harsimrat Kaeley

Found 2 papers, 1 papers with code

Support for Stock Trend Prediction Using Transformers and Sentiment Analysis

no code implementations18 May 2023 Harsimrat Kaeley, Ye Qiao, Nader Bagherzadeh

However, due to the limitations of RNNs, such as gradient vanish and long-term dependencies being lost as sequence length increases, in this paper we develop a Transformer based model that uses technical stock data and sentiment analysis to conduct accurate stock trend prediction over long time windows.

Sentiment Analysis Stock Prediction +3

roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs

1 code implementation2 Sep 2021 Arnav Vaibhav Malawade, Shih-Yuan Yu, Brandon Hsu, Harsimrat Kaeley, Anurag Karra, Mohammad Abdullah Al Faruque

The goal of roadscene2vec is to enable research into the applications and capabilities of road scene-graphs by providing tools for generating scene-graphs, graph learning models to generate spatio-temporal scene-graph embeddings, and tools for visualizing and analyzing scene-graph-based methodologies.

Action Classification Graph Embedding +4

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