Triple Down on Robustness: Understanding the Impact of Adversarial Triplet Compositions on Adversarial Robustness by Sander Joos, Tim Van hamme, Willem Verheyen, Davy Preuveneers, Wouter Joosen

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

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

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

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

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

Digital Assistance Systems to Implement Machine Learning in Manufacturing: A Systematic Review by Jannik Rosemeyer, Marta Pinzone, Joachim Metternich

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

Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing by Iraj Moghaddasi, Byeong-Gyu Nam

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

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

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

Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation by Nicolas Douard, Ahmed Samet, George Giakos, Denis Cavallucci

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

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

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

A Study on Text Classification in the Age of Large Language Models by Paul Trust, Rosane Minghim

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

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

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

Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models by Pál Péter Hanzelik, Alex Kummer, János Abonyi

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

Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand? by Frank van Mourik, Annemarie Jutte, Stijn E. Berendse, Faiza A. Bukhsh, Faizan Ahmed

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

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

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

Using Segmentation to Boost Classification Performance and Explainability in CapsNets by Dominik Vranay, Maroš Hliboký, László Kovács, Peter Sinčák

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

Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection by Gwangho Na, Jaepil Ko, Kyungjoo Cheoi

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

Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data by José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos

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

Optimal Knowledge Distillation through Non-Heuristic Control of Dark Knowledge by Darian Onchis, Codruta Istin, Ioan Samuila

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

Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder by Bo-Wen Shen

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

Lexical Error Guard: Leveraging Large Language Models for Enhanced ASR Error Correction by Mei Si, Omar Cobas, Michael Fababeir

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

A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia by Louise Pedersen, Magdalena Mazur-Milecka, Jacek Ruminski, Stefan Wagner

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