activity
20172026
most citedA novel approach for fusion of heterogeneous sources of data

70 citations · 70 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization

Boyang Xu, Mostafa Reisi Gahrooei, Mohammad Ilbeigi +1

Natural disasters frequently inflict severe damage to the built environment, which demands a rapid, reliable, and cost-effective damage assessment for emergency response. However,…

cs.LG2025

Tensorized Multi-Task Learning for Personalized Modeling of Heterogeneous Individuals with High-Dimensional Data

Elif Konyar, Mostafa Reisi Gahrooei, Kamran Paynabar

Effective modeling of heterogeneous subpopulations presents a significant challenge due to variations in individual characteristics and behaviors. This paper proposes a novel appro…

cs.LG2025

Toward Temporal Causal Representation Learning with Tensor Decomposition

Jianhong Chen, Meng Zhao, Mostafa Reisi Gahrooei +1

Temporal causal representation learning is a powerful tool for uncovering complex patterns in observational studies, which are often represented as low-dimensional time series. How…

stat.AP2020

An Augmented Regression Model for Tensors with Missing Values

Feng Wang, Mostafa Reisi Gahrooei, Zhen Zhong +2

Heterogeneous but complementary sources of data provide an unprecedented opportunity for developing accurate statistical models of systems. Although the existing methods have shown…

stat.ME2018★ 70 cited

A novel approach for fusion of heterogeneous sources of data

Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar +1

With advancements in sensor technology, a heterogeneous set of data, containing samples of scalar, waveform signal, image, or even structured point cloud are becoming increasingly…

stat.ME2017

Change Detection in a Dynamic Stream of Attributed Networks

Mostafa Reisi Gahrooei, Kamran Paynabar

While anomaly detection in static networks has been extensively studied, only recently, researchers have focused on dynamic networks. This trend is mainly due to the capacity of dy…