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Publication search results
found 44 matches
- 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: 379-391 - Michele La Rocca, Cira Perna:
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility. EANN 2024: 504-517 - 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: 178-190 - Hadi Al-Mubasher, Mariette Awad:
An EANN-Based Recommender System for Drug Recommendation. EANN 2024: 41-55 - 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: 392-404 - Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov:
Discrete-Time Replicator Equations on Parallel Neural Networks. EANN 2024: 492-503 - 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: 134-151 - Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
HCER: Hierarchical Clustering-Ensemble Regressor. EANN 2024: 369-378 - 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: 463-477 - Leon Bobrowski:
Feature Selection with L1 Regularization in Formal Neurons. EANN 2024: 343-353 - Fabio H. Cardoso, Marley M. B. R. Vellasco, Karla Figueiredo:
Comparative Study Between Q-NAS and Traditional CNNs for Brain Tumor Classification. EANN 2024: 93-105 - Ankush Chopra, Rauful Azam:
Enhancing Natural Language Query to SQL Query Generation Through Classification-Based Table Selection. EANN 2024: 152-165 - 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: 120-133 - Ziad Doughan, Sari Itani:
Machine Unlearning, A Comparative Analysis. EANN 2024: 558-568 - 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: 435-449 - Alexandru Filip, Stella Graßhof:
Towards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw Dataset. EANN 2024: 288-300 - Massimo Frasson, Dario Malchiodi:
Support Vector Based Anomaly Detection in Federated Learning. EANN 2024: 274-287 - Telma Garção, Joana Sousa, Luis André, Carlos Alves, Nuno Felizardo, Carlos Silva, João Ferreira:
Data-Driven Methods for Wi-Fi Anomaly Detection. EANN 2024: 478-491 - Lazaros S. Iliadis, Kiourt Nichat, Christos Akratos, Antonis Papaleonidas:
Machine Learning Classification of Water Conductivity Raw Values of "Faneromeni" Reservoir in Crete. EANN 2024: 518-529 - Naohiro Ishii, Kazunori Iwata, Kazuya Odagiri, Tokuro Matsuo:
Application of Directional Vectors for Independent Subspaces in the Bio-Inspired Networks. EANN 2024: 450-462 - Tamás Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior, Maik Thiele:
Active Learning with Aggregated Uncertainties from Image Augmentations. EANN 2024: 3-16 - Atkia Akila Karim, Naushin Nower:
Robust Traffic Prediction Using Probabilistic Spatio-Temporal Graph Convolutional Network. EANN 2024: 259-273 - 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: 354-368 - Michael Sahl Lystbæk, Tharsika Pakeerathan Srirajan:
Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing Market. EANN 2024: 530-543 - 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: 56-69 - El Omari Mouad, Belmajdoub Hanae, Khalid Minaoui:
Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns. EANN 2024: 235-246 - 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: 28-40 - Hussain Otudi, Shelly Gupta, Zoran Obradovic:
Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. EANN 2024: 220-234 - Mattia Paravisi, Andrea Visconti, Dario Malchiodi:
Security Analysis of Cryptographic Algorithms: Hints from Machine Learning. EANN 2024: 569-580 - Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas, Elias Pimenidis:
HEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection. EANN 2024: 191-206
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