Thermal change index-based diabetic foot thermogram image classification using machine learning techniques
Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot
thermogram images acquired using an infrared camera have been shown to detect changes …
thermogram images acquired using an infrared camera have been shown to detect changes …
Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem
This paper proposes a supervised learning with a class-balancing loss function (SL-CBL)
approach for fault detection and feature-similarity-based recipe optimization (FSRO) for a …
approach for fault detection and feature-similarity-based recipe optimization (FSRO) for a …
Andronicus of rhodes at SemEval-2023 task 4: Transformer-based human value detection using four different neural network architectures
This paper presents our participation to the “Human Value Detection shared task (Kiesel et
al., 2023), as “Andronicus of Rhodes. We describe the approaches behind each entry in the …
al., 2023), as “Andronicus of Rhodes. We describe the approaches behind each entry in the …
AnyLoss: Transforming Classification Metrics into Loss Functions
Many evaluation metrics can be used to assess the performance of models in binary
classification tasks. However, most of them are derived from a confusion matrix in a non …
classification tasks. However, most of them are derived from a confusion matrix in a non …
[PDF][PDF] Bag-of-words vs. sequence vs. graph vs. hierarchy for single-and multi-label text classification
Graph neural networks have triggered a resurgence of graph-based text classification
methods, defining today's state of the art. We show that a simple multi-layer perceptron …
methods, defining today's state of the art. We show that a simple multi-layer perceptron …
Do machine learning models learn statistical rules inferred from data?
Abstract Machine learning models can make critical errors that are easily hidden within vast
amounts of data. Such errors often run counter to rules based on human intuition. However …
amounts of data. Such errors often run counter to rules based on human intuition. However …
[HTML][HTML] Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data
Background: The risk of cardiovascular disease (CVD) has traditionally been predicted via
the assessment of carotid plaques. In the proposed study, AtheroEdge™ 3.0 HDL …
the assessment of carotid plaques. In the proposed study, AtheroEdge™ 3.0 HDL …
Psychology-Guided Environment Aware Network for Discovering Social Interaction Groups from Videos
Social interaction is a common phenomenon in human societies. Different from discovering
groups based on the similarity of individuals' actions, social interaction focuses more on the …
groups based on the similarity of individuals' actions, social interaction focuses more on the …
Simple Weak Coresets for Non-decomposable Classification Measures
While coresets have been growing in terms of their application, barring few exceptions, they
have mostly been limited to unsupervised settings. We consider supervised classification …
have mostly been limited to unsupervised settings. We consider supervised classification …
A Study on the Forecast of Earning Management Based on Deep Learning by Reflecting Information on Corporate Litigation Cases
H Kang, H Kim, H Na - IEEE Access, 2024 - ieeexplore.ieee.org
This paper aims to find that predictive performance is better when earning management
predictions using deep learning technology, including litigation case information filed with …
predictions using deep learning technology, including litigation case information filed with …