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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, 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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