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| 2023 | A Machine Learning Approach for Seismic Vulnerability Ranking. Ioannis Karampinis, Lazaros Iliadis |
| 2023 | A Multi-relationship Language Acquisition Model for Predicting Child Vocabulary Growth. Andrew Roxburgh, Floriana Grasso, Terry R. Payne |
| 2023 | A Novel Neural Network-Based Recommender System for Drug Recommendation. Hadi Al-Mubasher, Ziad Doughan, Layth Sliman, Ali M. Haidar |
| 2023 | Adaptive Model for Industrial Systems Using Echo State Networks. José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Miguel A. Prada, Ignacio Díaz Blanco, Manuel Domínguez |
| 2023 | Advanced Skin Cancer Detection Using Deep Learning. Mai Alzamel, Seba Alhejaili, Fatimah Alhumaidhi, Joud Alismail, Lama Almubarak, Halah Altammami, Costas S. Iliopoulos, Zara Lim |
| 2023 | An Autonomous Self-learning and Self-adversarial Training Neural Architecture for Intelligent and Resilient Cyber Security Systems. Konstantinos Demertzis, Lazaros S. Iliadis |
| 2023 | Balancing High-Dimensional Datasets with Complex Layers. Leon Bobrowski |
| 2023 | BotDroid: Permission-Based Android Botnet Detection Using Neural Networks. Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis |
| 2023 | Classification of Time Signals Using Machine Learning Techniques. Ishfaq Ahmad Jadoon, Doina Logofatu, Mohammad Nahin Islam |
| 2023 | Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods. Marina Aguilar-Moreno, Manuel Graña |
| 2023 | Conductivity Classification Using Machine Learning Algorithms in the "Bramianon" Dam. Nichat Kiourt, Lazaros S. Iliadis, Antonios Papaleonidas |
| 2023 | Cross-Learning-Based Sales Forecasting Using Deep Learning via Partial Pooling from Multi-level Data. José Manuel Oliveira, Patrícia Ramos |
| 2023 | DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks. Dimitrios Zaikis, Stylianos Kokkas, Ioannis P. Vlahavas |
| 2023 | DNN-Driven Gradient-Based Shape Optimization in Fluid Mechanics. Konstantina G. Kovani, Marina G. Kontou, Varvara G. Asouti, Kyriakos C. Giannakoglou |
| 2023 | Deep Transfer Learning Application for Intelligent Marine Debris Detection. Kai Yuan Chia, Cheng Siong Chin, Simon See |
| 2023 | Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections. Luis Alberto Toral-Quijas, Eyad Elyan, Carlos Francisco Moreno-García, Jan Stander |
| 2023 | Discrimination of Attention Deficit Hyperactivity Disorder Using Capsule Networks and LSTM Networks on fMRI Data. Arunav Dey, Jigya Singh, Manaswini Rathore, Roshni Govind, Vandana M. Ladwani |
| 2023 | Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings Lazaros Iliadis, Ilias Maglogiannis, Serafín Alonso, Chrisina Jayne, Elias Pimenidis |
| 2023 | Evaluating the Extraction of Toxicological Properties with Extractive Question Answering. Bruno Carlos Luís Ferreira, Hugo Gonçalo Oliveira, Hugo Amaro, Ângela Laranjeiro, Catarina Silva |
| 2023 | Forecasting Functional Time Series Using Federated Learning. Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro |
| 2023 | Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina |
| 2023 | Gaussian-Based Approach for Out-of-Distribution Detection in Deep Learning. Thiago M. Carvalho, Marley M. B. R. Vellasco, José Franco Machado do Amaral |
| 2023 | Generation of Bases for Classification in the Bio-inspired Layered Networks. Naohiro Ishii, Kazunori Iwata, Tokuro Matsuo |
| 2023 | Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva |
| 2023 | Hierarchical Prediction in Incomplete Submetering Systems Using a CNN. Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez |
| 2023 | Knowledge Graph of Urban Firefighting with Rule-Based Entity Extraction. Xudong Wang, Nady Slam, Zixiang Zhang, Mingtong Zhang, Jingrong Wang |
| 2023 | Load-Shedding Management in a Smart Grid Architecture Through Smart Metering. Muhammad Faizan Khan, Gul Muhammad Khan |
| 2023 | LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece. Eleftherios Trivizakis, Vassilios Aidonis, Vasileios C. Pezoulas, Yorgos Goletsis, Nikolaos Oikonomou, Ioannis Stefanis, Leoni Chondromatidou, Dimitrios I. Fotiadis, Manolis Tsiknakis, Kostas Marias |
| 2023 | MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data. Pablo Torrijos, José A. Gámez, José M. Puerta |
| 2023 | Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination. Junjie Zhong, Toshiharu Sugawara |
| 2023 | Multi-view Semi-supervised Learning Using Privileged Information. Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev |
| 2023 | Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines. Michele La Rocca, Cira Perna |
| 2023 | Object Detection for Functional Assessment Applications. Alessandro Melino-Carrero, Álvaro Nieva Suárez, Cristina Losada-Gutiérrez, Marta Marrón Romera, Irene Guardiola Luna, Javier Baeza-Mas |
| 2023 | Optimal Traffic Flow Distributions on Dynamic Networks. Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov, Stefanos Spartalis |
| 2023 | Performance Analysis of Digit Recognizer Using Various Machine Learning Algorithms. Lakshmi Alekya Chittem, Doina Logofatu, Sheikh Sharfuddin Mim |
| 2023 | Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning. Thomas Widmann, Florian Merkle, Martin Nocker, Pascal Schöttle |
| 2023 | Residual Error Learning for Electricity Demand Forecasting. Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas |
| 2023 | Semi-automated System for Pothole Detection and Location. Favell Nuñez, Rodrigo Espinal, Gerardo Zavala, Josue Banegas |
| 2023 | Strain Prediction of a Bridge Deploying Autoregressive Models with ARIMA and Machine Learning Algorithms. Anastasios Panagiotis Psathas, Lazaros S. Iliadis, Antonios Papaleonidas |
| 2023 | Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut |
| 2023 | Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis. Dimitrios Simopoulos, Andreas Nikolakakis, George C. Anastassopoulos |
| 2023 | Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm. Mario Malcangi, Giovanni Felisati, Alberto M. Saibene, Enrico Alfonsi, Mauro Fresia, Pasquale Cambiaghi |
| 2023 | Towards Automatic Assessment of Quiet Standing Balance During the Execution of ADLs. Irene Guardiola Luna, Leticia Monasterio Expósito, Javier Macías Guarasa, Álvaro Nieva Suárez, Marina Murillo-Teruel, José Luis Martín Sánchez, Sira Elena Palazuelos-Cagigas |
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| 2023 | User Equilibrium and System Optimality Conditions for Flow Distributions on Congested Networks. Antonios Kalampakas, Armen Bagdasaryan, Mansoor Saburov, Stefanos Spartalis |
| 2023 | Verification of Neural Networks Meets PLC Code: An LHC Cooling Tower Control System at CERN. Ignacio D. Lopez-Miguel, Borja Fernández Adiego, Faiq Ghawash, Enrique Blanco Viñuela |
| 2023 | Virtual Flow Meter for an Industrial Process. Raúl González-Herbón, Guzmán González-Mateos, Serafín Alonso, Miguel A. Prada, Juan José Fuertes, Antonio Morán, Manuel Domínguez |
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