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Towards a Label-Free and Representation-Based Metric for Evaluating Machine Learning Models
(2022-08-04)
In this work, we explore the viability of proposed label-free metrics to evaluate
models. We begin by examining the effect on linear probe accuracy which different
viable label schemes on an identical dataset may cause. ...
On Sustainable Supply Chains: Optimal Design of a Multimodal Logistics Network with Shipment Consolidation, Stochastic Demand, and Machine Learning
(2022-08-15)
In this thesis, we consider the logistics network of a multi-echelon multimodal supply chain with multiple products and components taking economic and environmental sustainability, and shipment consolidation into consideration. ...
Early prediction of skin toxicities during radiotherapy using optical and infrared imaging
(2022-08-31)
Approximately 90% of breast cancer radiation therapy patients experience skin toxicities that are difficult to predict. The objectives of this study are to evaluate correlation between the skin toxicity occurrences and ...
Music Composer Recognition from MIDI Representation using Deep Learning and N-gram Based Methods
(2022-10-07)
In order to answer conceptually basic queries like “Who created this piece?” the
discipline of computational musicology frequently requires the analysis of detailed
characteristics. Melodic lines, rhythmic patterns, ...
Multi-Modal Consensus Clustering to Identify Phenotypes of Kidney Transplant Donors and Recipients and Their Association With Survival
(2022-11-18)
Kidney transplantation is an essential treatment option for individuals diagnosed with End-stage renal disease (ESRD). Being able to predict the survival of the transplant and the outcome of the recipient is an important ...
Identifying Factors Influencing Electronic Gaming Machine Player Behavior Using Interpretable AI and Mimicking Player Behavior Using Reinforcement Learning
(2022-12-06)
People in venues like casinos play games on Electronic Gaming Machines (EGMs). These machines do not record information about players, such as their playing experience. The gaming industry is keen on learning about the ...
Design and Optimization of Adhesively Bonded Joints Mating Novel 3D-Fiber Metal Laminates Subjected to Static and Dynamic In-plane and Out-of-plane Loadings
(2023-04-13)
The automotive and aerospace industries are rapidly growing sectors of the global economy. The global commercial vehicle market is projected to grow from $955 billion in 2020 to $1.7 trillion in 2029. According to Boeing’s ...
Common N-Gram Method: A Promising Approach to Detecting Mental Health Disorders on Social Media
(2023-04-13)
This paper addresses the mental health challenges posed by the COVID-19 pandemic and the lack of reliable and accessible diagnostic tools for mental health conditions. The dataset used in this research consists of over 2 ...
Using Machine Learning to Predict Patients Who Leave Without Being Seen in a Pediatric Emergency Department
(2023-04-14)
Background: Patients and their caregivers who seek care in an Emergency Department (ED)
may ultimately choose to leave without being seen by a physician. This occurrence is labeled
“left without being seen” (LWBS) and ...
Studying Oil Spill Transport by Exploring Oil-Mineral-Aggregates Characteristics and Tidal Dispersion Properties
(2023-04-27)
Oil spill has been widely recognized as a major marine environmental issue, that could cause a profound and long-term impact on the environment, ecology, and socioeconomics. In particular, when the oil spill happens in ...