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ORCID25th EANN 2024: Corfu, Greece
- Lazaros S. Iliadis
, Ilias Maglogiannis, Antonios Papaleonidas, Elias Pimenidis, Chrisina Jayne:
Engineering Applications of Neural Networks - 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024, Proceedings. Communications in Computer and Information Science 2141, Springer 2024, ISBN 978-3-031-62494-0
Reinforcement/Natural Language
- Tamás Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior, Maik Thiele:
Active Learning with Aggregated Uncertainties from Image Augmentations. 3-16 - Mou Saha, Doina Logofatu:
An Approach to Predict Optimal Configurations for LDA-Based Topic Modeling. 17-27 - Antonio Nappa, Juan Luis Ferrando Chacón, Izar Azpiroz, Pedro José Arrazola:
An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals. 28-40 - Hadi Al-Mubasher, Mariette Awad:
An EANN-Based Recommender System for Drug Recommendation. 41-55 - Manav Madan, Christoph Reich, Anton M. Unakafov, Valentina A. Unakafova, Alexander Schmitt:
Automation of the Error-Prone Pam-4 Sequence Discovery for the Purpose of High-Speed Serial Receiver Testing Using Reinforcement Learning Methods. 56-69 - Panagiotis N. Sakellariou, Spiros V. Georgakopoulos:
Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods. 70-81 - Kyriaki Sioziou, Panagiotis Zervas, Kostas Giotopoulos, Giannis Tzimas:
Comparative Analysis of Large Language Models in Structured Information Extraction from Job Postings. 82-92 - Fabio H. Cardoso, Marley M. B. R. Vellasco, Karla Figueiredo:
Comparative Study Between Q-NAS and Traditional CNNs for Brain Tumor Classification. 93-105 - José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz Blanco, Juan José Fuertes, Manuel Domínguez:
Deep Echo State Networks for Modelling of Industrial Systems. 106-119 - Jayendra Ganesh Devisetti, Sanjana S, Shubhankar Kuranagatti, Abhishek Hiremath, Arti Arya:
Empirical Insights into Deep Learning Models for Misinformation Classification Within Constrained Data Environment. 120-133 - Xue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Adam Halasz, Srinjoy Das:
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications Using Deep Learning Based Keypoint Prediction. 134-151 - Ankush Chopra, Rauful Azam:
Enhancing Natural Language Query to SQL Query Generation Through Classification-Based Table Selection. 152-165 - Maria Tzelepi, Vasileios Mezaris:
Exploiting LMM-Based Knowledge for Image Classification Tasks. 166-177 - Zeeshan Ahmad, Andrei Petrovski, Murshedul Arifeen, Adnan Shahid Khan, Syed Aziz Shah:
HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks. 178-190 - Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis:
HEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection. 191-206 - Ayoub Sassi, Safa Cherif, Wael Jaafar:
Intelligent Framework for Monitoring Student Emotions During Online Learning. 207-219 - Hussain Otudi, Shelly Gupta, Zoran Obradovic:
Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. 220-234 - El Omari Mouad, Belmajdoub Hanae, Khalid Minaoui:
Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns. 235-246 - Aabila Tharzeen, Shweta Dahale, Balasubramaniam Natarajan:
Neural SDE-Based Epistemic Uncertainty Quantification in Deep Neural Networks. 247-258 - Atkia Akila Karim, Naushin Nower:
Robust Traffic Prediction Using Probabilistic Spatio-Temporal Graph Convolutional Network. 259-273 - Massimo Frasson, Dario Malchiodi:
Support Vector Based Anomaly Detection in Federated Learning. 274-287 - Alexandru Filip, Stella Graßhof:
Towards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw Dataset. 288-300 - Amos Yu Xuan Tham, Cheng Siong Chin:
YOLOv5 and Residual Network for Intelligent Text Recognition on Degraded Serial Number Plates. 301-314
Biomedical/Classification
- Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. 317-328 - Daniel Stamate, Pradyumna Davuloori, Doina Logofatu, Evelyne Mercure, Caspar Addyman, Mark Tomlinson:
Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in Videos. 329-342 - Leon Bobrowski:
Feature Selection with L1 Regularization in Formal Neurons. 343-353 - Apoorva Anand Kulkarni, Divya G. Niranjan, Noel Saju, P. Rakshith Shenoy, Arti Arya:
Graph-Based Fault Localization in Python Projects with Class-Imbalanced Learning. 354-368 - Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
HCER: Hierarchical Clustering-Ensemble Regressor. 369-378 - Antonio Morán, Serafín Alonso, Juan José Fuertes, Miguel A. Prada, Lidia Roca, Manuel Domínguez:
Machine Learning Modeling in Industrial Processes for Visual Analysis. 379-391 - Eduardo Véras Argento, Marley M. B. R. Vellasco, José Franco Machado do Amaral, Karla Figueiredo, Meyer Nigri:
Machine Learning Modeling to Provide Assistance to Basketball Coaches. 392-404 - Youjing Yu, Zhengxiang Shi, Aldo Lipani:
Understanding Users' Confidence in Spoken Queries for Conversational Search Systems. 405-418 - Marco Vannucci, Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid:
Unsupervised Anomaly Detection Combining PCA and Neural Gases. 419-432
Deep Learning/Convolutional
- Ricardo T. Fares, Lucas Correia Ribas:
A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification. 435-449 - Naohiro Ishii, Kazunori Iwata, Kazuya Odagiri, Tokuro Matsuo:
Application of Directional Vectors for Independent Subspaces in the Bio-Inspired Networks. 450-462 - Fatima Ez-Zahraa Bazay, Ahmed Drissi El Maliani:
Assessing the Impact of Preprocessing Pipelines on fMRI Based Autism Spectrum Disorder Classification: ABIDE II Results. 463-477 - Telma Garção, Joana Sousa, Luis André, Carlos Alves, Nuno Felizardo, Carlos Silva, João Ferreira:
Data-Driven Methods for Wi-Fi Anomaly Detection. 478-491 - Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov:
Discrete-Time Replicator Equations on Parallel Neural Networks. 492-503 - Michele La Rocca, Cira Perna:
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility. 504-517 - Lazaros S. Iliadis, Kiourt Nichat, Christos Akratos, Antonis Papaleonidas:
Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete. 518-529 - Michael Sahl Lystbæk, Tharsika Pakeerathan Srirajan:
Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing Market. 530-543 - Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. 544-557 - Ziad Doughan, Sari Itani:
Machine Unlearning, A Comparative Analysis. 558-568 - Mattia Paravisi, Andrea Visconti, Dario Malchiodi:
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. 569-580
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