Behavioral Sequence Modeling with Ensemble Learning

no code implementations • 4 Nov 2024 • Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso

We investigate the use of sequence analysis for behavior modeling, emphasizing that sequential context often outweighs the value of aggregate features in understanding human behavior.

Ensemble Learning

Ensemble Methods for Sequence Classification with Hidden Markov Models

no code implementations • 11 Sep 2024 • Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso

We present a lightweight approach to sequence classification using Ensemble Methods for Hidden Markov Models (HMMs).

Anomaly Detection Binary Classification

Synthetic Data Applications in Finance

no code implementations • 29 Dec 2023 • Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreačić, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch

Synthetic data has made tremendous strides in various commercial settings including finance, healthcare, and virtual reality.

Fairness Time Series

A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning

no code implementations • 5 Oct 2020 • Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat Bhargava

In this paper, we present a dynamic, demand aware, and pricing-based vehicle-passenger matching and route planning framework that (1) dynamically generates optimal routes for each vehicle based on online demand, pricing associated with each ride, vehicle capacities and locations.

Decision Making Deep Reinforcement Learning +1