activity
20202025
most citedAn Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence

68 citations · 71 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2025

Tight Practical Bounds for Subgraph Densities in Ego-centric Networks

Connor Mattes, Esha Datta, Ali Pinar

Subgraph densities play a crucial role in network analysis, especially for the identification and interpretation of meaningful substructures in complex graphs. Localized subgraph d…

cs.LG2025

Topology of Out-of-Distribution Examples in Deep Neural Networks

Esha Datta, Johanna Hennig, Eva Domschot +2

As deep neural networks (DNNs) become increasingly common, concerns about their robustness do as well. A longstanding problem for deployed DNNs is their behavior in the face of unf…

cs.LG2025

VillageNet: Graph-based, Easily-interpretable, Unsupervised Clustering for Broad Biomedical Applications

Aditya Ballal, Gregory A. DePaul, Esha Datta +5

Clustering large high-dimensional datasets with diverse variable is essential for extracting high-level latent information from these datasets. Here, we developed an unsupervised c…

cs.HC2021★ 68 cited

An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence

Rex Liu, Albara Ah Ramli, Huanle Zhang +2

With the rapid development of the internet of things (IoT) and artificial intelligence (AI) technologies, human activity recognition (HAR) has been applied in a variety of domains…

cs.LG2020★ 3 cited

Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility

Yuanjie Li, Esha Datta, Jiaxin Ding +2

The demand for seamless Internet access under extreme user mobility, such as on high-speed trains and vehicles, has become a norm rather than an exception. However, the 4G/5G mobil…