Variational Neural Stochastic Differential Equations with Change Points

no code implementations • 1 Nov 2024 • Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko

We develop two methodologies for modeling and estimating change points in time-series data with distribution shifts.

Change Point Detection Time Series

A Language Model-Guided Framework for Mining Time Series with Distributional Shifts

no code implementations • 7 Jun 2024 • Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko

Effective utilization of time series data is often constrained by the scarcity of data quantity that reflects complex dynamics, especially under the condition of distributional shifts.

Language Modelling Time Series +1

Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection

no code implementations • 4 Mar 2024 • Zhenglin Li, Haibei Zhu, Houze Liu, Jintong Song, Qishuo Cheng

This study conducts a thorough examination of malware detection using machine learning techniques, focusing on the evaluation of various classification models using the Mal-API-2019 dataset.

Malware Detection

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