papers

Publications (8)

stat.AP2018

Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable

Ryan McConville, Gareth Archer, Ian Craddock +4

In this paper we study the prediction of heart rate from acceleration using a wrist worn wearable. Although existing photoplethysmography (PPG) heart rate sensors provide reliable…

eess.IV2025

Skin Cancer Machine Learning Model Tone Bias

James Pope, Md Hassanuzzaman, William Chapman +5

Background: Many open-source skin cancer image datasets are the result of clinical trials conducted in countries with lighter skin tones. Due to this tone imbalance, machine learni…

cs.CR2022

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection

James Pope, Jinyuan Liang, Vijay Kumar +13

Security research has concentrated on converting operating system audit logs into suitable graphs, such as provenance graphs, for analysis. However, provenance graphs can grow very…

cs.LG2026

Which Site, and When: A Free-Satellite-Data Test of Himalayan Glacial Lake Bursts, Landslides, and Ice Floods

Matthew Kahn, Milan Arjel, Nirmala Adhikari +2

Two free satellite signals carry real information about glacial-lake outburst risk in the Nepal Himalaya: radar interferometry sees a moraine dam slowly sagging, and satellite weat…

cs.DC2023

Challenges in the Design and Implementation of IoT Testbeds in Smart-Cities: A Systematic Review

Vijay Kumar, Sam Gunner, Theodoros Spyridopoulos +5

Advancements in wireless communication and the increased accessibility to low-cost sensing and data processing IoT technologies have increased the research and development of urban…

cs.LG2022

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices

Ioannis Mavromatis, Adrian Sanchez-Mompo, Francesco Raimondo +8

Data integrity becomes paramount as the number of Internet of Things (IoT) sensor deployments increases. Sensor data can be altered by benign causes or malicious actions. Mechanism…