Thermal change index-based diabetic foot thermogram image classification using machine learning techniques

A Khandakar, MEH Chowdhury, MBI Reaz, SHM Ali… - Sensors, 2022 - mdpi.com
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 …

Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem

JU Ko, J Lee, T Kim, YC Kim… - Journal of Computational …, 2023 - academic.oup.com
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 …

Andronicus of rhodes at SemEval-2023 task 4: Transformer-based human value detection using four different neural network architectures

G Papadopoulos, M Kokol, M Dagioglou… - Proceedings of the …, 2023 - aclanthology.org
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 …

AnyLoss: Transforming Classification Metrics into Loss Functions

D Han, N Moniz, NV Chawla - Proceedings of the 30th ACM SIGKDD …, 2024 - dl.acm.org
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 …

[PDF][PDF] Bag-of-words vs. sequence vs. graph vs. hierarchy for single-and multi-label text classification

A Diera, BX Lin, B Khera, T Meuser, T Singhal… - arXiv preprint …, 2022 - academia.edu
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 …

Do machine learning models learn statistical rules inferred from data?

A Naik, Y Wu, M Naik, E Wong - International Conference on …, 2023 - proceedings.mlr.press
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 …

[HTML][HTML] Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data

M Bhagawati, S Paul, L Mantella, AM Johri, S Gupta… - Diagnostics, 2024 - mdpi.com
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 …

Psychology-Guided Environment Aware Network for Discovering Social Interaction Groups from Videos

J Yu, J Yang, H Yang, R Pan, P Lai, G Zhai - ACM Transactions on …, 2024 - dl.acm.org
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 …

Simple Weak Coresets for Non-decomposable Classification Measures

J Malaviya, A Dasgupta, R Chhaya - … of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
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 …

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 …