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ORCID24th EANN 2023: León, Spain
- Lazaros Iliadis
, Ilias Maglogiannis, Serafín Alonso, Chrisina Jayne, Elias Pimenidis:
Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings. Communications in Computer and Information Science 1826, Springer 2023, ISBN 978-3-031-34203-5
Artificial Intelligence - Computational Methods - Ethology
- Ioannis Karampinis, Lazaros Iliadis:
A Machine Learning Approach for Seismic Vulnerability Ranking. 3-16 - Marina Aguilar-Moreno, Manuel Graña:
Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods. 17-27 - 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. 28-32 - Lisa Brand, Bernhard G. Humm, Andrea Krajewski, Alexander Zender:
Towards Improved User Experience for Artificial Intelligence Systems. 33-44
Classification - Filtering - Genetic Algorithms
- Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca:
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. 47-61 - Leon Bobrowski:
Balancing High-Dimensional Datasets with Complex Layers. 62-70 - Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis:
BotDroid: Permission-Based Android Botnet Detection Using Neural Networks. 71-84 - Ishfaq Ahmad Jadoon, Doina Logofatu, Mohammad Nahin Islam:
Classification of Time Signals Using Machine Learning Techniques. 85-96 - Kiourt Nichat, Lazaros S. Iliadis, Antonios Papaleonidas:
Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam. 97-109 - Naohiro Ishii, Kazunori Iwata, Tokuro Matsuo:
Generation of Bases for Classification in the Bio-inspired Layered Networks. 110-120 - Muhammad Faizan Khan, Gul Muhammad Khan:
Load-Shedding Management in a Smart Grid Architecture Through Smart Metering. 121-130 - Pablo Torrijos, José A. Gámez, José Miguel Puerta:
MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. 131-143 - Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev:
Multi-view Semi-supervised Learning Using Privileged Information. 144-152
Complex Dynamic Networks' Optimization/Graph Neural Networks
- Andrew Roxburgh, Floriana Grasso, Terry R. Payne:
A Multi-relationship Language Acquisition Model for Predicting Child Vocabulary Growth. 155-167 - Xudong Wang, Nady Slam, Zixiang Zhang, Mingtong Zhang, Jingrong Wang:
Knowledge Graph of Urban Firefighting with Rule-Based Entity Extraction. 168-177 - Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov, Stefanos Spartalis:
Optimal Traffic Flow Distributions on Dynamic Networks. 178-190 - Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. 191-202 - Antonios Kalampakas, Armen Bagdasaryan, Mansoor Saburov, Stefanos Spartalis:
User Equilibrium and System Optimality Conditions for Flow Distributions on Congested Networks. 203-214
Convolutional Neural Networks/Spiking Neural Networks
- 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. 217-226 - 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. 227-238 - Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez:
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN. 239-250 - Thomas Widmann, Florian Merkle, Martin Nocker, Pascal Schöttle:
Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning. 251-263
Deep Learning Modeling
- Mai Alzamel, Seba Alhejaili, Fatimah Alhumaidhi, Joud Alismail, Lama Almubarak, Halah Altammami, Costas S. Iliopoulos, Zara Lim:
Advanced Skin Cancer Detection Using Deep Learning. 267-278 - José Manuel Oliveira, Patrícia Ramos:
Cross-Learning-Based Sales Forecasting Using Deep Learning via Partial Pooling from Multi-level Data. 279-290 - 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. 291-302 - Thiago M. Carvalho, Marley M. B. R. Vellasco, José Franco Machado do Amaral:
Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning. 303-314 - 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. 315-327 - Alessandro Melino-Carrero, Álvaro Nieva Suárez, Cristina Losada-Gutiérrez, Marta Marrón Romera, Irene Guardiola Luna, Javier Baeza-Mas:
Object Detection for Functional Assessment Applications. 328-339 - Lakshmi Alekya Chittem, Doina Logofatu, Sheikh Sharfuddin Mim:
Performance Analysis of Digit Recognizer Using Various Machine Learning Algorithms. 340-351 - 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. 352-363
Deep/Machine Learning in Engineering
- José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez:
Adaptive Model for Industrial Systems Using Echo State Networks. 367-378 - Konstantina G. Kovani, Marina G. Kontou, Varvara G. Asouti, Kyriakos C. Giannakoglou:
DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics. 379-390 - Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas:
Residual Error Learning for Electricity Demand Forecasting. 391-402 - Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas:
Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms. 403-419 - 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. 420-432 - 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. 433-444 - Charalampos Symeonidis, Nikos Nikolaidis:
Wind Energy Prediction Guided by Multiple-Location Weather Forecasts. 445-457
Learning (Reinforcemet - Federated - Adversarial - Transfer)
- Konstantinos Demertzis, Lazaros S. Iliadis:
An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. 461-478 - Kai Yuan Chia, Cheng Siong Chin, Simon See:
Deep Transfer Learning Application for Intelligent Marine Debris Detection. 479-490 - Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro:
Forecasting Functional Time Series Using Federated Learning. 491-504 - Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva:
Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. 505-519 - Junjie Zhong, Toshiharu Sugawara:
Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination. 520-531 - Michele La Rocca, Cira Perna:
Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines. 532-547 - Dimitrios Simopoulos, Andreas Nikolakakis, George C. Anastassopoulos:
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis. 548-557 - Pedro Gonçalo Correia, Henrique Lopes Cardoso:
Towards Explaining Shortcut Learning Through Attention Visualization and Adversarial Attacks. 558-569
Natural Language - Recommendation Systems
- Hadi Al-Mubasher, Ziad Doughan, Layth Sliman, Ali M. Haidar:
A Novel Neural Network-Based Recommender System for Drug Recommendation. 573-584 - Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas:
DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. 585-598 - Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva:
Evaluating the Extraction of Toxicological Properties with Extractive Question Answering. 599-606 - Favell Nuñez, Rodrigo Espinal, Gerardo Zavala, Josue Banegas:
Semi-automated System for Pothole Detection and Location. 607-618
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