EANN C

44 papers

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