Ensemble Learning with Highly Variable Class-Based Performance by Brandon Warner, Edward Ratner, Kallin Carlous-Khan, Christopher Douglas, Amaury Lendasse

“…Machine Learning and Knowledge Extraction…”
Get full text

Better than Trees: Applying Semilattices to Balance the Accuracy and Complexity of Machine Learning Models by Stephen Fox, Antonio Ricciardo

“…Machine Learning and Knowledge Extraction…”
Get full text

Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms by Kianeh Kandi, Antonio García-Dopico

“…Machine Learning and Knowledge Extraction…”
Get full text

Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning by Ray-I Chang, Chih-Yung Tsai, Yu-Wei Chang

“…Machine Learning and Knowledge Extraction…”
Get full text

Weighted Kappa for Interobserver Agreement and Missing Data by Matthijs J. Warrens, Alexandra de Raadt, Roel J. Bosker, Henk A. L. Kiers

“…Machine Learning and Knowledge Extraction…”
Get full text

Context-Aware Few-Shot Learning SPARQL Query Generation from Natural Language on an Aviation Knowledge Graph by Ines-Virginia Hernandez-Camero, Eva Garcia-Lopez, Antonio Garcia-Cabot, Sergio Caro-Alvaro

“…Machine Learning and Knowledge Extraction…”
Get full text

Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes by Luís Rita, Joshua Southern, Ivan Laponogov, Kyle Higgins, Kirill Veselkov

“…Machine Learning and Knowledge Extraction…”
Get full text

Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation by Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Sušnjak

“…Machine Learning and Knowledge Extraction…”
Get full text

Reliable and Faithful Generative Explainers for Graph Neural Networks by Yiqiao Li, Jianlong Zhou, Boyuan Zheng, Niusha Shafiabady, Fang Chen

“…Machine Learning and Knowledge Extraction…”
Get full text

Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation by Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels

“…Machine Learning and Knowledge Extraction…”
Get full text

Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems by Róbert Lakatos, Péter Pollner, András Hajdu, Tamás Joó

“…Machine Learning and Knowledge Extraction…”
Get full text

Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement by Mantas Bacevicius, Agne Paulauskaite-Taraseviciene, Gintare Zokaityte, Lukas Kersys, Agne Moleikaityte

“…Machine Learning and Knowledge Extraction…”
Get full text

Optimizing a Double Stage Heat Transformer Performance by Levenberg–Marquardt Artificial Neural Network by Suset Vázquez-Aveledo, Rosenberg J. Romero, Lorena Díaz-González, Moisés Montiel-González, Jesús Cerezo

“…Machine Learning and Knowledge Extraction…”
Get full text

Automatic Extraction and Visualization of Interaction Networks for German Fairy Tales by David Schmidt, Frank Puppe

“…Machine Learning and Knowledge Extraction…”
Get full text

Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications by Arunabh Bora, Heriberto Cuayáhuitl

“…Machine Learning and Knowledge Extraction…”
Get full text

Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability by Georgios I. Liapis, Sophia Tsoka, Lazaros G. Papageorgiou

“…Machine Learning and Knowledge Extraction…”
Get full text

Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques by Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal-Reyes, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya-Arandia, Edgar A. Ibarra-Flores

“…Machine Learning and Knowledge Extraction…”
Get full text

Automated Grading Through Contrastive Learning: A Gradient Analysis and Feature Ablation Approach by Mateo Sokač, Mario Fabijanić, Igor Mekterović, Leo Mršić

“…Machine Learning and Knowledge Extraction…”
Get full text

Global and Local Interpretable Machine Learning Allow Early Prediction of Unscheduled Hospital Readmission by Rafael Ruiz de San Martín, Catalina Morales-Hernández, Carmen Barberá, Carlos Martínez-Cortés, Antonio Jesús Banegas-Luna, Francisco José Segura-Méndez, Horacio Pérez-Sánchez, Isabel Morales-Moreno, Juan José Hernández-Morante

“…Machine Learning and Knowledge Extraction…”
Get full text

A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression by John B. Theocharis, Christos G. Chadoulos, Andreas L. Symeonidis

“…Machine Learning and Knowledge Extraction…”
Get full text