4 citations · 12 across the 11 of their papers we have counts for
15 papers
Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text
Sina Mansouri, Mohit Marvania, Abolfazl Safikhani
The widespread adoption of large language models (LLMs) has intensified the demand for principled methods to distinguish human from machine-generated text. Watermarking provides a…
Longitudinal Omics Data Analysis: A Review on Models, Algorithms, and Tools
Ali R. Taheriyoun, Allen Ross, Abolfazl Safikhani +2
Longitudinal omics data (LOD) analysis is essential for understanding the dynamics of biological processes and disease progression over time. This review explores various statistic…
Optimal Change Point Detection and Inference in the Spectral Density of General Time Series Models
Sepideh Mosaferi, Abolfazl Safikhani, Peiliang Bai
This paper addresses the problem of detecting change points in the spectral density of time series, motivated by EEG analysis of seizure patients. Seizures disrupt coherence and fu…
Sequential Change Point Detection in High-dimensional Vector Auto-regressive Models
Yuhan Tian, Abolfazl Safikhani
Sequential (online) change-point detection involves continuously monitoring time-series data and triggering an alarm when shifts in the data distribution are detected. We propose a…
Theoretical analysis of deep neural networks for temporally dependent observations
Mingliang Ma, Abolfazl Safikhani
Deep neural networks are powerful tools to model observations over time with non-linear patterns. Despite the widespread use of neural networks in such settings, most theoretical d…
Non-Stationary Time Series Model for Station Based Subway Ridership During Covid-19 Pandemic (Case Study: New York City)
Bahman Moghimi, Camille Kamga, Abolfazl Safikhani +2
The COVID-19 pandemic in 2020 has caused sudden shocks in transportation systems, specifically the subway ridership patterns in New York City. Understanding the temporal pattern of…