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Machine Learning and Knowledge Extraction, Volume 6
Volume 6, Number 1, March 2024
- Devang Mehta
, Noah Klarmann
:
Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control. 1-17 - Abhijeet Kumar
, Anirban Guha, Sauvik Banerjee
:
Transforming Simulated Data into Experimental Data Using Deep Learning for Vibration-Based Structural Health Monitoring. 18-40 - Kuangsheng Cai, Zugang Chen, Hengliang Guo, Shaohua Wang
, Guoqing Li, Jing Li, Feng Chen, Hang Feng:
An Evaluative Baseline for Sentence-Level Semantic Division. 41-52 - Adnan Alagic, Natasa Zivic
, Esad Kadusic
, Dzenan Hamzic, Narcisa Hadzajlic
, Mejra Dizdarevic, Elmedin Selmanovic
:
Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data. 53-77 - Jorge Blanco Prieto
, Marina Ferreras González
, Steven Van Vaerenbergh
, Oscar Jesús Cosido Cobos
:
A Data Mining Approach for Health Transport Demand. 78-97 - Jennifer Werner
, Dimitri Nowak
, Franziska Hunger
, Tomas Johnson
, Andreas Mark
, Alexander Gösta
, Fredrik Edelvik
:
Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics. 98-125 - Didier Gohourou
, Kazuhiro Kuwabara:
Knowledge Graph Extraction of Business Interactions from News Text for Business Networking Analysis. 126-142 - Mustafa Pamuk
, Matthias Schumann, Robert C. Nickerson:
What Do the Regulators Mean? A Taxonomy of Regulatory Principles for the Use of AI in Financial Services. 143-155 - Abdulkarim Faraj Alqahtani, Mohammad Ilyas:
An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying. 156-170 - Mohammadali Fallahian
, Mohsen Dorodchi, Kyle Kreth:
GAN-Based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions. 171-198 - Sophie Zentner, Alberto Barradas Chacon, Selina C. Wriessnegger
:
The Impact of Light Conditions on Neural Affect Classification: A Deep Learning Approach. 199-214 - Liang Luo, George K. Stylios
:
Algorithmic Information Theory for the Precise Engineering of Flexible Material Mechanics. 215-232 - Maximilian Lowin
:
A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models. 233-258 - Nhut Huynh, Kim-Doang Nguyen
:
Real-Time Droplet Detection for Agricultural Spraying Systems: A Deep Learning Approach. 259-282 - Audris Arzovs, Janis Judvaitis
, Krisjanis Nesenbergs
, Leo Selavo
:
Distributed Learning in the IoT-Edge-Cloud Continuum. 283-315 - Mailson Ribeiro Santos, Luiz Affonso Guedes
, Ignacio Sánchez-Gendriz:
SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis. 316-341 - Ekaterina Novozhilova
, Kate K. Mays
, Sejin Paik, James E. Katz:
More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. 342-366 - Fouad Trad
, Ali Chehab
:
Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models. 367-384 - Shira Nemirovsky-Rotman, Eyal Bercovich:
Explicit Physics-Informed Deep Learning for Computer-Aided Diagnostic Tasks in Medical Imaging. 385-401 - Yuxin Cong, Toshiyuki Motohashi, Koki Nakao, Shinya Inazumi
:
Machine Learning Predictive Analysis of Liquefaction Resistance for Sandy Soils Enhanced by Chemical Injection. 402-419 - Musacchio Nicoletta, Rita Zilich
, Davide Masi
, Fabio Baccetti
, Besmir Nreu, Carlo Bruno Giorda
, Giacomo Guaita
, Lelio Morviducci, Marco Muselli
, Alessandro Ozzello
, Federico Pisani, Paola Ponzani, Antonio Rossi
, Pierluigi Santin, Damiano Verda
, Graziano Di Cianni, Riccardo Candido:
Overcoming Therapeutic Inertia in Type 2 Diabetes: Exploring Machine Learning-Based Scenario Simulation for Improving Short-Term Glycemic Control. 420-434 - Sabrina Djeradi, Tahar Dahame, Mohamed Abdelilah Fadla, Bachir Bentria, Mohammed Benali Kanoun
, Souraya Goumri-Said
:
High-Throughput Ensemble-Learning-Driven Band Gap Prediction of Double Perovskites Solar Cells Absorber. 435-447 - Subhayu Dutta
, Subhrangshu Adhikary
, Ashutosh Dhar Dwivedi
:
VisFormers - Combining Vision and Transformers for Enhanced Complex Document Classification. 448-463 - Mohammed G. Alsubaie
, Suhuai Luo, Kamran Shaukat:
Alzheimer's Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review. 464-505 - Enqi Ma
, Zbigniew J. Kabala
:
Refereeing the Sport of Squash with a Machine Learning System. 506-553 - Cezary Maszczyk
, Marek Sikora
, Lukasz Wróbel
:
Classification, Regression, and Survival Rule Induction with Complex and M-of-N Elementary Conditions. 554-579 - Stephen Fox, Vítor Fortes Rey:
Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges. 580-592 - Danial Hooshyar
, Roger Azevedo
, Yeongwook Yang
:
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education. 593-618 - Loay Hassan
, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
:
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. 619-641 - Heesung Shim, Jonathan E. Allen
, W. F. Drew Bennett
:
Enhancing Docking Accuracy with PECAN2, a 3D Atomic Neural Network Trained without Co-Complex Crystal Structures. 642-657 - Soma Onishi
, Masahiro Nishimura
, Ryota Fujimura
, Yoichi Hayashi
:
Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm? 658-678 - Leandra Lukomski, Juan I. Pisula, Naita Wirsik, Alexander Damanakis, Jin-On Jung, Karl Knipper, Rabi R. Datta, Wolfgang Schröder, Florian Gebauer, Thomas Schmidt, Alexander Quaas, Katarzyna Bozek, Christiane J. Bruns, Felix Popp:
Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer. 679-698 - Foziya Ahmed Mohammed, Kula Kekeba Tune
, Beakal Gizachew Assefa
, Marti Jett
, Seid Y. Muhie
:
Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature. 699-736
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