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ORCID18th IWANN 2025, A Coruña, Spain - Part II
- Ignacio Rojas
, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16-18, 2025, Proceedings, Part II. Lecture Notes in Computer Science 16009, Springer 2026, ISBN 978-3-032-02727-6
Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications
- Carlos Cano Domingo, Manuel Soler-Ortiz, David Modesto, Anas Belfadil, Ruxandra Stoean, Joan Farnós:
Understanding of Latent Spaces in a Battery Aging Prediction Model Through eXplainable AI. 3-14 - Andrés Ortiz, Nicolás J. Gallego-Molina, Ignacio Rodríguez-Rodríguez, Alberto Peinado, Maria Dolores Gil Montoya, Pablo Martínez-Cañada, Christian A. Morillas:
Exploring Brain Lateralization Using Tensor Decomposition of EEG Phase-Amplitude Coupling. 15-26 - Manuel Rodrigues, Rita Lino, Fernando Alves, Paulo Novais:
Ethical Considerations in Artificial Intelligence and Machine Learning. 27-43 - Pablo González Santamarta:
Kolmogorov-Arnold Networks for the Development of Intrusion Detection Systems. 44-56
General Applications of AI
- Prosper Azaglo, Pepijn van de Ven, John Nelson:
Machine Learning Based Screening for Psychological Distress Using a Perceived Control Mobile App. 59-73 - Bunica-Mihai Alexandru, Loretta Ichim, Dan Popescu:
Tobacco and Weed Segmentation from Remote Images Using Artificial Intelligence. 74-85 - Radu Marian Macovei, Dan Popescu, Loretta Ichim:
A Hybrid ResNet50-LSTM Architecture for Video Sentiment Analysis. 86-97 - Joaquín Ortíz de Murua, César Domínguez, Jónathan Heras, Vico Pascual:
Towards a Framework that Facilitates the Construction of Image Segmentation Models. 98-108 - K. Jenni, U. Shivani Sri Varshini, Pradumya Kumar, M. Srinivas:
TASER-Net: Transformer Based Speech Emotion Recognition. 109-119 - Ivan Kolesnikov, Nils Höing, Tilman Sanders, Peter Glösekötter:
Experimental Analysis and Modeling of Electrochemical Oxygen Pump Cell ECOpump. 120-127 - Medabalimi Ravi Kumar, Nikhil Gumasthi, Kapil Sangani, Saurav Singla, Satyaprasad Rao:
Empowering Scalable Fraud Detection Using Graph Neural Networks and Incremental Learning. 128-139 - Lucia Porlan-Ferrando, J. David Nuñez-Gonzalez, Alain Ulazia, Manuel Graña:
Transfer Learning Approach for Prediction of Maximum Wave Height in Two Locations of the Bay of Biscay: Bilbao and Cabo de Peñas. 140-153 - Addisson Salazar, Rocco Zito, Stefano Laureti, Marco Ricci, Luis Vergara:
Classifier Fusion for the Detection of Defects from Active Thermography. 154-166 - Addisson Salazar, Luis Vergara, Alberto González:
Multimodal Analysis of Neuropsychological Tests from EEG and fMRI Data. 167-178 - Pham Doan Tinh, Le Van Minh:
Solid-Waste Classification Using Deep Learning Fusion Model. 179-190 - Myriam Cumbajin, Ruxandra Stoean, José A. Aguado, Gonzalo Joya:
Improving PV Power Prediction Based on GRU and Meteorological Factors. 191-204 - Adérito Araújo, Gonçalo Inocêncio Oliveira, João Nuno Mestre:
Poisson Hamiltonian Neural Networks: Structure-Preserving Learning of Dynamical Systems. 205-218 - Frederic Mirindi, Derrick Mirindi:
SEF-Net: A Hybrid Deep Learning Architecture for Multi-step Forecasting in Sustainable Energy Markets. 219-231 - Antonio Díaz-Longueira, Noel Freire-Mahía, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
A New Approach to Detecting Occupational Diseases Using Time Series. 232-243 - Abdelkader Haddag, Elisa Guerrero Vázquez, Hayat Yedjour, Maria De La Paz Guerrero-Lebrero:
Comparative Analysis of Spiking Neurons Mathematical Models Training Using Surrogate Gradients Techniques. 244-257
ITOMAD - Intelligent Techniques for Optimization, Modeling, and Anomaly Detection
- Diego Narciandi-Rodriguez, Guillermo Martínez-Martínez, Jose Aveleira-Mata, Martín Bayón-Gutiérrez, Javier Alfonso-Cendón, Isaías García-Rodríguez:
Design and Capture of a 5G SA Traffic Dataset Under Jamming Conditions. 261-273 - Julia María Fernández-Díaz, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier Gracia Rodríguez, Santiago Iglesias Álvarez, Javier Rodríguez Rodríguez, Saúl Pérez, Alejandro Buendía Roca:
Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach. 274-288 - Roberto Casado-Vara, Rafael Rodríguez García, Branly Martínez, Marta-María Álvarez-Crespo, Antonio Díaz-Longueira, Carlos Cambra:
Optimal Malware Mitigation in IoT Networks: A Comparative Study of Neural ODEs and Pontryagin's Maximum Principle. 289-300 - Anabel Díaz-Labrador, Ángel Delgado, Héctor J. Pérez-Iglesias, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications. 301-312 - Dragan Simic, José Luís Calvo-Rolle, José R. Villar, Svetislav D. Simic, Svetlana Simic:
A Short Analysis of Hybrid Frameworks Based on Self-organizing Maps to Improve Traditional Systems. 313-326 - Paula Arcano-Bea, Agustín García-Fischer, Manuel Rubiños, Pablo Fariñas, Francisco Zayas-Gato, José Luís Calvo-Rolle:
Comparative Performance of Convolutional Neural Networks and Vision Transformers for Quality Assurance of a Welding Process. 327-338 - Míriam Timiraos, Emilio Lima Bullones, Alejandro Vidal-Bralo, José Luís Casteleiro-Roca, José Luís Calvo-Rolle:
A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based. 339-350 - Noel Freire-Mahía, Álvaro Michelena, Antonio Díaz-Longueira, Héctor Quintián, Esteban Jove:
Power Prediction System for Photovoltaic Panels Using Time Series Neural Networks. 351-363 - Nuria Velasco-Pérez, Félix De Miguel, Carolina Gutiérrez, David García, Luis Miguel Lozano, Daniel Urda, Álvaro Herrero:
Towards Safer Hydrogen Infrastructure: Anomaly Detection in Synthetic Hydrogen Dispensing Data. 364-375
Machine Learning for 4.0 Industry Solutions
- Guido Parodi, Giulio Ferro, Michela Robba, Andrea Coraddu, Francesca Cipollini, Davide Anguita, Luca Oneto:
Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-processing. 379-391 - Ángel Arroyo, Diego Granados, Félix De Miguel, Nuria Velasco, Álvaro Herrero:
Dimensionality Reduction and Outlier Analysis for the NF-ToN-IoT Cybersecurity Dataset. 392-401 - José Luis Ávila-Jiménez, Ann-Sophie Bülter, Ludwig Horsthemke, Francisco J. Rodríguez-Lozano, Manuel Agustín Ortiz-López, Peter Glösekötter:
Data-Driven All-Optical Magnetometry: A Comparative Evaluation of Regression Models Using NV Center Fluorescence Lifetimes. 402-411 - Francisco Javier González-Serrano, Lorena Álvarez-Pérez, Harold Y. Molina-Bulla, Marcelino Lázaro:
Smart Incident Prediction from NOC Alert Events in Digital TV Broadcasting Networks. 412-425
Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids
- Ariana-Andra Serpar, Ruxandra Stoean, Carlos Cano Domingo, Ann-Sophie Bülter, Ignacio Rojas Ruiz, Jens Pogorzelski, Peter Glösekötter:
Symmetrical Current Flow Reconstruction for Sector-Shaped Multi-wire Cables Using Machine Learning. 429-443 - Jan-Ole Thranow, Andre Loechte, Felix Winters, Markus Gregor, Peter Glösekötter:
Comparison of Multiclass Classification on Impedance Spectra to Estimate the State of Charge of Zinc-Air Batteries. 444-456 - Ludwig Horsthemke, Ann-Sophie Bülter, Jens Pogorzelski, Dennis Stiegekötter, Frederik Hoffmann, José Luis Ávila-Jiménez, Markus Gregor, Peter Glösekötter:
Edge Machine Learning for All-Optical Fluorescence Lifetime-Based Sensing with NV Centers. 457-465 - Alexandru-Adrian Ciobanu, Nebojsa Bacanin, Catalin Stoean:
Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data. 466-477 - Ann-Sophie Bülter, Ludwig Horsthemke, José Luis Ávila-Jiménez, Frederik Hoffmann, Francisco J. Rodríguez-Lozano, Sarah Kirschke, Tilman Sanders, Markus Gregor, Peter Glösekötter:
Computational Approaches for Resolving the Low-Field Ambiguity in All-Optical Magnetic Field Sensing With NV Centers. 478-489 - Angellina Ebenezer Anitha, Katrin Handel, Katrin Schulte, Jens Haubrock:
Improved Post-processing Model for Photovoltaic Power Forecasting Based on Clustering. 490-502
New and Future Advances in BCI-Based Spellers
- Arne Van Den Kerchove, Mani Mirsaeedi, Bob Van Dyck, Marc M. Van Hulle:
An Event-Related Potential BCI Speller Using a Wearable, Single-Channel EEG Headset with Electrodes on the Forehead. 505-510 - David Ahlmer, Jan Meijer, Peter Glösekötter, Bernd Burchard:
A Framework for Controlling NV Centers with OPX+: Design, Implementation, and Applications. 511-520 - Ana Martín-Fernández, Víctor Martínez-Cagigal, Selene Moreno-Calderón, Eduardo Santamaría-Vázquez, Beatriz Pascual-Roa, Roberto Hornero:
Exploring Code-Modulated Visual Evoked Potentials Spellers in Realistic Scenarios. 521-532 - Ayas Kiser, Atilla Cantürk, Ivan Volosyak:
Towards Secure Transaction Authentication Using a cVEP-Based BCI. 533-547 - Álvaro Fernández-Rodríguez, Mattieu Marchais, Lou Pépin, Lucas Sainte-Croix, Julia Zitouni-Flambard, Véronique Lespinet-Najib, Jean-Marc André, Ricardo Ron-Angevin:
Evaluating Color Heterogeneity in RSVP-Based ERP-BCIs. 548-557 - Milán András Fodor, Ivan Volosyak:
Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance. 558-571 - Hanneke A. Scheppink, Atilla Cantürk, Ivan Volosyak:
BCI with Intuitive Object Control Based on Code-Modulated Visual Evoked Potentials. 572-583 - Selene Moreno-Calderón, Víctor Martínez-Cagigal, Ana Martín-Fernández, Eduardo Santamaría-Vázquez, Beatriz Pascual-Roa, Roberto Hornero:
Exploring the Integration of c-VEP-Based BCI Spellers in Mixed Reality: A Pilot Study. 584-594
Social and Ethical Aspects of AI
- David Esteban Martínez, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Quantitative and Qualitative Evaluation on Local Explainability Models for Anomaly Detection Algorithms. 597-608 - Sattam Almatarneh, Ahmed BaniMustafa, Ghassan Samara, Raed Alazaidah, Qasem Obeidat:
Bias and Fairness in NLP: Addressing Social and Cultural Biases. 609-619 - Federico Grasso Toro, Guglielmo Frigo:
Trustworthy AI Benchmark for Responsible Smart Grid as Critical Infrastructure. 620-631 - U. Shivani Sri Varshini, Kommineni Jenni, M. Srinivas:
TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering. 632-642 - Federico Grasso Toro, Javier Bolaños:
Implications of Human+Machine Systems as Critical Infrastructures Under Sustainable Development Goals. 643-654 - Omar Hassani Zerrouk, Eva Gallego, Jose Francisco Perales, Moisès Graells:
Machine Learning-Based Surrogate Models for Predicting Atmospheric Pollutant Dispersion. 655-666
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last updated on 2025-11-29 00:03 CET by the dblp team
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