Search Results - "Machine Learning and Knowledge Extraction"

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

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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

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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

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

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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

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

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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

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Knowledge Graphs and Their Reciprocal Relationship with Large Language Models by Ramandeep Singh Dehal, Mehak Sharma, Enayat Rajabi

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Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis by Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli, Cristian Randieri

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PIDQA—Question Answering on Piping and Instrumentation Diagrams by Mohit Gupta, Chialing Wei, Thomas Czerniawski, Ricardo Eiris

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Pattern Matching-Based Denoising for Images with Repeated Sub-Structures by Anil Kumar Mysore Badarinarayana, Christoph Pratsch, Thomas Lunkenbein, Florian Jug

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Knowledge Bases and Representation Learning Towards Bug Triaging by Qi Wang, Weihao Yan, Yanlong Li, Yizheng Ge, Yiwei Liu, Peng Yin, Shuai Tan

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Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review by Lazaros Moysis, Lazaros Alexios Iliadis, George Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin, Panagiotis Sarigiannidis, Ilias Siniosoglou, Vasileios Argyriou, Sotirios K. Goudos

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Factors Associated with COVID-19 Mortality in Mexico: A Machine Learning Approach Using Clinical, Socioeconomic, and Environmental Data by Lorena Díaz-González, Yael Sharim Toribio-Colin, Julio César Pérez-Sansalvador, Noureddine Lakouari

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On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning by Marius Sorin Pavel, Simona Moldovanu, Dorel Aiordachioaie

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Leveraging Failure Modes and Effect Analysis for Technical Language Processing by Mathieu Payette, Georges Abdul-Nour, Toualith Jean-Marc Meango, Miguel Diago, Alain Côté

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Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification by Sofia El Amoury, Youssef Smili, Youssef Fakhri

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Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data by Wenli Chen, Zirou Lin, Lishan Zheng, Mei-Yee Mavis Ho, Farhan Ali, Wei Peng Teo

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Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes by Ying Yin, Yijun Shao, Phillip Ma, Qing Zeng-Treitler, Stuart J. Nelson

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ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs by Jinglei Pei, Yang Zhang, Ting Liu, Jingbin Yang, Qinghua Wu, Kang Qin

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