EANN

Keyphrases

Publications

2023

Konstantinos Demertzis, Lazaros S. Iliadis
An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. EANN (2023)
Kiourt Nichat, Lazaros S. Iliadis, Antonios Papaleonidas
Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam. EANN (2023)
Dimitrios Simopoulos, Andreas Nikolakakis, George C. Anastassopoulos
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis. EANN (2023)
Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas
Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms. EANN (2023)
Muhammad Faizan Khan, Gul Muhammad Khan
Load-Shedding Management in a Smart Grid Architecture Through Smart Metering. EANN (2023)
Ioannis Karampinis, Lazaros Iliadis
A Machine Learning Approach for Seismic Vulnerability Ranking. EANN (2023)
Andrew Roxburgh, Floriana Grasso, Terry R. Payne
A Multi-relationship Language Acquisition Model for Predicting Child Vocabulary Growth. EANN (2023)
Pablo Torrijos, José A. Gámez, José Miguel Puerta
MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. EANN (2023)
Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas
DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. EANN (2023)
Arunav Dey, Jigya Singh, Manaswini Rathore, Roshni Govind, Vandana M. Ladwani
Discrimination of Attention Deficit Hyperactivity Disorder Using Capsule Networks and LSTM Networks on fMRI Data. EANN (2023)
Charalampos Symeonidis, Nikos Nikolaidis
Wind Energy Prediction Guided by Multiple-Location Weather Forecasts. EANN (2023)
Naohiro Ishii, Kazunori Iwata, Tokuro Matsuo
Generation of Bases for Classification in the Bio-inspired Layered Networks. EANN (2023)
Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas
Residual Error Learning for Electricity Demand Forecasting. EANN (2023)
Eleftherios Trivizakis, Vassilios Aidonis, Vasileios C. Pezoulas, Yorgos Goletsis, Nikolaos Oikonomou, Ioannis Stefanis, Leoni Chondromatidou, Dimitrios I. Fotiadis, Manolis Tsiknakis, Kostas Marias
LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece. EANN (2023)
Ishfaq Ahmad Jadoon, Doina Logofatu, Mohammad Nahin Islam
Classification of Time Signals Using Machine Learning Techniques. EANN (2023)
Ignacio D. Lopez-Miguel, Borja Fernández Adiego, Faiq Ghawash, Enrique Blanco Viñuela
Verification of Neural Networks Meets PLC Code: An LHC Cooling Tower Control System at CERN. EANN (2023)
Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN. EANN (2023)
Marina Aguilar-Moreno, Manuel Graña
Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods. EANN (2023)
Alessandro Melino-Carrero, Álvaro Nieva Suárez, Cristina Losada-Gutiérrez, Marta Marrón Romera, Irene Guardiola Luna, Javier Baeza-Mas
Object Detection for Functional Assessment Applications. EANN (2023)
José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Miguel A. Prada, Ignacio Díaz, Manuel Domínguez
Adaptive Model for Industrial Systems Using Echo State Networks. EANN (2023)
Mario Malcangi, Giovanni Felisati, Alberto M. Saibene, Enrico Alfonsi, Mauro Fresia, Pasquale Cambiaghi
Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm. EANN (2023)
Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. EANN (2023)
Junjie Zhong, Toshiharu Sugawara
Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination. EANN (2023)
Favell Nuñez, Rodrigo Espinal, Gerardo Zavala, Josue Banegas
Semi-automated System for Pothole Detection and Location. EANN (2023)
Leon Bobrowski
Balancing High-Dimensional Datasets with Complex Layers. EANN (2023)
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro
Forecasting Functional Time Series Using Federated Learning. EANN (2023)
Luis Alberto Toral-Quijas, Eyad Elyan, Carlos Francisco Moreno-García, Jan Stander
Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections. EANN (2023)
Raúl González-Herbón, Guzmán González-Mateos, Serafín Alonso, Miguel A. Prada, Juan José Fuertes, Antonio Morán, Manuel Domínguez
Virtual Flow Meter for an Industrial Process. EANN (2023)
Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis
BotDroid: Permission-Based Android Botnet Detection Using Neural Networks. EANN (2023)
Mai Alzamel, Seba Alhejaili, Fatimah Alhumaidhi, Joud Alismail, Lama Almubarak, Halah Altammami, Costas S. Iliopoulos, Zara Lim
Advanced Skin Cancer Detection Using Deep Learning. EANN (2023)
Thiago M. Carvalho, Marley M. B. R. Vellasco, José Franco Machado do Amaral
Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning. EANN (2023)
Antonios Kalampakas, Armen Bagdasaryan, Mansoor Saburov, Stefanos Spartalis
User Equilibrium and System Optimality Conditions for Flow Distributions on Congested Networks. EANN (2023)
Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev
Multi-view Semi-supervised Learning Using Privileged Information. EANN (2023)
Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva
Evaluating the Extraction of Toxicological Properties with Extractive Question Answering. EANN (2023)
Michele La Rocca, Cira Perna
Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines. EANN (2023)
Kai Yuan Chia, Cheng Siong Chin, Simon See
Deep Transfer Learning Application for Intelligent Marine Debris Detection. EANN (2023)
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva
Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. EANN (2023)
Hadi Al Mubasher, Ziad Doughan, Layth Sliman, Ali M. Haidar
A Novel Neural Network-Based Recommender System for Drug Recommendation. EANN (2023)
Konstantina G. Kovani, Marina G. Kontou, Varvara G. Asouti, Kyriakos C. Giannakoglou
DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics. EANN (2023)
Irene Guardiola Luna, Leticia Monasterio Expósito, Javier Macías Guarasa, Álvaro Nieva Suárez, Marina Murillo-Teruel, José Luis Martín Sánchez, Sira Elena Palazuelos-Cagigas
Towards Automatic Assessment of Quiet Standing Balance During the Execution of ADLs. EANN (2023)
Xudong Wang, Slam Nady, Zixiang Zhang, Mingtong Zhang, Jingrong Wang
Knowledge Graph of Urban Firefighting with Rule-Based Entity Extraction. EANN (2023)
José Manuel Oliveira, Patrícia Ramos
Cross-Learning-Based Sales Forecasting Using Deep Learning via Partial Pooling from Multi-level Data. EANN (2023)
Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov, Stefanos Spartalis
Optimal Traffic Flow Distributions on Dynamic Networks. EANN (2023)
Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN (2023)
Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut
Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. EANN (2023)
Thomas Widmann, Florian Merkle, Martin Nocker, Pascal Schöttle
Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning. EANN (2023)
Lisa Brand, Bernhard G. Humm, Andrea Krajewski, Alexander Zender
Towards Improved User Experience for Artificial Intelligence Systems. EANN (2023)
Lakshmi Alekya Chittem, Doina Logofatu, Sheikh Sharfuddin Mim
Performance Analysis of Digit Recognizer Using Various Machine Learning Algorithms. EANN (2023)
Pedro Gonçalo Correia, Henrique Lopes Cardoso
Towards Explaining Shortcut Learning Through Attention Visualization and Adversarial Attacks. EANN (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)