Journal: Machine Learning and Knowledge Extraction

Volume 5, Issue 3

684 -- 712Hanruo Zhu, Ziquan Zhu, Shuihua Wang, Yu-Dong Zhang 0001. CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification
713 -- 724Angel Pina, Corbin Petersheim, Josh Cherian, Joanna Lahey, Gerianne Alexander, Tracy Hammond. Using Machine Learning with Eye-Tracking Data to Predict if a Recruiter Will Approve a Resume
725 -- 745Jianfeng Li, Xiaoqin Lian. Research on Forest Fire Detection Algorithm Based on Improved YOLOv5
746 -- 762Kristian Miok, Padraig Corcoran, Irena Spasic. The Value of Numbers in Clinical Text Classification
763 -- 781Fábio Eid Morooka, Adalberto Manoel Junior, Tiago F. A. C. Sigahi, Jefferson Souza Pinto, Izabela Simon Rampasso, Rosley Anholon. Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review
782 -- 802David Muhr, Michael Affenzeller, Josef Küng. A Probabilistic Transformation of Distance-Based Outliers
803 -- 829Peter Salamon, David Salamon, Vito Adrian Cantu, Michelle An, Tyler Perry, Robert A. Edwards, Anca M. Segall. Classification Confidence in Exploratory Learning: A User's Guide
830 -- 846Daniel Klosa, Christof Büskens. Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting
847 -- 867Ala Alam Falaki, Robin Gras. Efficient Latent Space Compression for Lightning-Fast Fine-Tuning and Inference of Transformer-Based Models
868 -- 890Brian Lewandowski, Randy C. Paffenroth. Autoencoder Feature Residuals for Network Intrusion Detection: One-Class Pretraining for Improved Performance
891 -- 921Mahmood Ul Haq, Muhammad Athar Javed Sethi, Atiq ur Rehman 0002. Capsule Network with Its Limitation, Modification, and Applications - A Survey
922 -- 936Hosein Barzekar, Susan McRoy. Achievable Minimally-Contrastive Counterfactual Explanations
937 -- 956Litao Qiao, Weijia Wang 0002, Bill Lin 0001. Alternative Formulations of Decision Rule Learning from Neural Networks
957 -- 978Phillip Czech, Markus Braun 0003, Ulrich Kreßel, Bin Yang 0009. Behavior-Aware Pedestrian Trajectory Prediction in Ego-Centric Camera Views with Spatio-Temporal Ego-Motion Estimation
979 -- 1009Dylan Molinié, Kurosh Madani, Véronique Amarger, Abdennasser Chebira. Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA)
1010 -- 1022Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios. Improving Spiking Neural Network Performance with Auxiliary Learning
1023 -- 1035Mohammad MohammadAmini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam, Fatemeh Hariri. Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
1036 -- 1054Frank Emmert-Streib. Defining a Digital Twin: A Data Science-Based Unification
1055 -- 1075Rebecca Potts, Rick Hackney, Georgios Leontidis. Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
1076 -- 1118Michael C. Thrun, Julian Märte, Quirin Stier. Analyzing Quality Measurements for Dimensionality Reduction
1119 -- 1130Alexandre Hudon, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais. Comparing the Performance of Machine Learning Algorithms in the Automatic Classification of Psychotherapeutic Interactions in Avatar Therapy
1132 -- 1148Jorge Enrique Coyac-Torres, Grigori Sidorov, Eleazar Aguirre Anaya, Gerardo Hernandez-Oregon. Cyberattack Detection in Social Network Messages Based on Convolutional Neural Networks and NLP Techniques
1149 -- 1175Taja Kuzman, Igor Mozetic, Nikola Ljubesic. Automatic Genre Identification for Robust Enrichment of Massive Text Collections: Investigation of Classification Methods in the Era of Large Language Models
1176 -- 1194Sarwat Ali, M. Arif Wani. Gradient-Based Neural Architecture Search: A Comprehensive Evaluation
1195 -- 1213Mohammad H. Alshayeji. Early Thyroid Risk Prediction by Data Mining and Ensemble Classifiers
1214 -- 1233Chandana Priya Nivarthi, Stephan Vogt, Bernhard Sick. Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions