EANN

Keyphrases

Publications

2024

Lazaros S. Iliadis, Kiourt Nichat, Christos Akratos, Antonis Papaleonidas
Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete. EANN (2024)
Amos Yu Xuan Tham, Cheng Siong Chin
YOLOv5 and Residual Network for Intelligent Text Recognition on Degraded Serial Number Plates. EANN (2024)
Alexandru Filip, Stella Graßhof
Towards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw Dataset. EANN (2024)
Panagiotis N. Sakellariou, Spiros V. Georgakopoulos
Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods. EANN (2024)
Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
HCER: Hierarchical Clustering-Ensemble Regressor. EANN (2024)
Ricardo T. Fares, Lucas Correia Ribas
A New Approach to Learn Spatio-Spectral Texture Representation with Randomized Networks: Application to Brazilian Plant Species Identification. EANN (2024)
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. EANN (2024)
Leon Bobrowski
Regularization in Formal Neurons. EANN (2024)
Fabio H. Cardoso, Marley M. B. R. Vellasco, Karla Figueiredo
Comparative Study Between Q-NAS and Traditional CNNs for Brain Tumor Classification. EANN (2024)
Hadi Al-Mubasher, Mariette Awad
An EANN-Based Recommender System for Drug Recommendation. EANN (2024)
Zeeshan Ahmad, Andrei Petrovski, Murshedul Arifeen, Adnan Shahid Khan, Syed Aziz Shah
HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks. EANN (2024)
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. EANN (2024)
Apoorva Anand Kulkarni, Divya G. Niranjan, Noel Saju, P. Rakshith Shenoy, Arti Arya
Graph-Based Fault Localization in Python Projects with Class-Imbalanced Learning. EANN (2024)
Mattia Paravisi, Andrea Visconti, Dario Malchiodi
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. EANN (2024)
Maria Tzelepi, Vasileios Mezaris
Exploiting LMM-Based Knowledge for Image Classification Tasks. EANN (2024)
Ayoub Sassi, Safa Cherif, Wael Jaafar
Intelligent Framework for Monitoring Student Emotions During Online Learning. EANN (2024)
Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov
Discrete-Time Replicator Equations on Parallel Neural Networks. EANN (2024)
Atkia Akila Karim, Naushin Nower
Robust Traffic Prediction Using Probabilistic Spatio-Temporal Graph Convolutional Network. EANN (2024)
El Omari Mouad, Belmajdoub Hanae, Khalid Minaoui
Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns. EANN (2024)
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. EANN (2024)
Massimo Frasson, Dario Malchiodi
Support Vector Based Anomaly Detection in Federated Learning. EANN (2024)
Ziad Doughan, Sari Itani
Machine Unlearning, A Comparative Analysis. EANN (2024)
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. EANN (2024)
Naohiro Ishii, Kazunori Iwata, Kazuya Odagiri, Tokuro Matsuo
Application of Directional Vectors for Independent Subspaces in the Bio-Inspired Networks. EANN (2024)
Telma Garção, Joana Sousa, Luis André, Carlos Alves, Nuno Felizardo, Carlos Silva, João Ferreira
Data-Driven Methods for Wi-Fi Anomaly Detection. EANN (2024)
Ankush Chopra, Rauful Azam
Enhancing Natural Language Query to SQL Query Generation Through Classification-Based Table Selection. EANN (2024)
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. EANN (2024)
Aabila Tharzeen, Shweta Dahale, Balasubramaniam Natarajan
Neural SDE-Based Epistemic Uncertainty Quantification in Deep Neural Networks. EANN (2024)
Michael Sahl Lystbæk, Tharsika Pakeerathan Srirajan
Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing Market. EANN (2024)
Antonio Morán, Serafín Alonso, Juan José Fuertes, Miguel A. Prada, Lidia Roca, Manuel Domínguez
Machine Learning Modeling in Industrial Processes for Visual Analysis. EANN (2024)
Fatima Ez-Zahraa Bazay, Ahmed Drissi El Maliani
Assessing the Impact of Preprocessing Pipelines on fMRI Based Autism Spectrum Disorder Classification: ABIDE II Results. EANN (2024)
Youjing Yu, Zhengxiang Shi, Aldo Lipani
Understanding Users' Confidence in Spoken Queries for Conversational Search Systems. EANN (2024)
Hussain Otudi, Shelly Gupta, Zoran Obradovic
Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. EANN (2024)
Kyriaki Sioziou, Panagiotis Zervas, Kostas Giotopoulos, Giannis Tzimas
Comparative Analysis of Large Language Models in Structured Information Extraction from Job Postings. EANN (2024)
Tamás Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior, Maik Thiele
Active Learning with Aggregated Uncertainties from Image Augmentations. EANN (2024)
Jayendra Ganesh Devisetti, Sanjana S, Shubhankar Kuranagatti, Abhishek Hiremath, Arti Arya
Empirical Insights into Deep Learning Models for Misinformation Classification Within Constrained Data Environment. EANN (2024)
Marco Vannucci, Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid
Unsupervised Anomaly Detection Combining PCA and Neural Gases. EANN (2024)
Mou Saha, Doina Logofatu
An Approach to Predict Optimal Configurations for LDA-Based Topic Modeling. EANN (2024)
Michele La Rocca, Cira Perna
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility. EANN (2024)
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. EANN (2024)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis
: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection. EANN (2024)
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. EANN (2024)
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. EANN (2024)

volume 2141, 2024

Engineering Applications of Neural Networks - 25th International Conference, EANN 2024, Corfu, Greece, June 27-30, 2024, Proceedings EANN 2141 (2024)

2023

volume 1826, 2023

Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings EANN 1826 (2023)