82 citations · 110 across the 9 of their papers we have counts for
10 papers
RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning
Steven A. Senczyszyn, Timothy C. Havens, Nathaniel Rice +3
As reinforcement learning (RL) deployments expand into safety-critical domains, existing evaluation methods fail to systematically identify hazards arising from the black-box natur…
Beneath the Surface: The Role of Underwater Image Enhancement in Object Detection
Ali Awad, Ashraf Saleem, Sidike Paheding +3
Underwater imagery often suffers from severe degradation resulting in low visual quality and reduced object detection performance. This work aims to evaluate state-of-the-art image…
Extra Global Attention Designation Using Keyword Detection in Sparse Transformer Architectures
Evan Lucas, Dylan Kangas, Timothy C Havens
In this paper, we propose an extension to Longformer Encoder-Decoder, a popular sparse transformer architecture. One common challenge with sparse transformers is that they can stru…
Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark
Advaith V. Sethuraman, Anja Sheppard, Onur Bagoren +4
Open-source benchmark datasets have been a critical component for advancing machine learning for robot perception in terrestrial applications. Benchmark datasets enable the widespr…
Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
Anthony Geglio, Eisa Hedayati, Mark Tascillo +3
This work investigates a practical and novel method for automated unsupervised fault detection in vehicles using a fully convolutional autoencoder. The results demonstrate the algo…
Machine learning method for light field refocusing
Eisa Hedayati, Timothy C. Havens, Jeremy P. Bos
Light field imaging introduced the capability to refocus an image after capturing. Currently there are two popular methods for refocusing, shift-and-sum and Fourier slice methods.…
Light Field Compression by Residual CNN Assisted JPEG
Eisa Hedayati, Timothy C. Havens, Jeremy P. Bos
Light field (LF) imaging has gained significant attention due to its recent success in 3-dimensional (3D) displaying and rendering as well as augmented and virtual reality usage. N…
Fuzzy Integral = Contextual Linear Order Statistic
Derek Anderson, Matthew Deardorff, Timothy Havens +5
The fuzzy integral is a powerful parametric nonlin-ear function with utility in a wide range of applications, from information fusion to classification, regression, decision making…
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar +3
Information fusion is an essential part of numerous engineering systems and biological functions, e.g., human cognition. Fusion occurs at many levels, ranging from the low-level co…
Scalable Kernel Clustering: Approximate Kernel k-means
Radha Chitta, Rong Jin, Timothy C. Havens +1
Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data. Among various kernel-based clustering algorithms, kernel k-means has gai…