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ORCID18th IWANN 2025, A Coruña, Spain - Part I
- 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 I. Lecture Notes in Computer Science 16008, Springer 2026, ISBN 978-3-032-02724-5
Advanced Topics in Computational Intelligence
- Ladislav Zjavka, Václav Snásel:
Power Quality 24-h Prediction Based on L-Transform Derivative Modular and Deep Learning Statistics Using Environmental Data in Detached Smart Buildings. 3-13 - Ross W. Nayler, Andries P. Engelbrecht:
Incremental Feature Learning of Shallow Feedforward Regression Neural Networks Using Particle Swarm Optimisation. 14-26 - Yohannes Biadgligne, Yassine Baghoussi, Kai Li, Alípio Jorge:
Resilience Under Attack: Benchmarking Optimizers Against Poisoning in Federated Learning for Image Classification Using CNN. 27-40 - Rukiye Savran Kiziltepe, Sohail Sahab, Rodrigo Valladares Santana, Faiyaz Doctor, Kate Paterson, David Hunstone, Alba Garcia Seco de Herrera:
VIDEM: VIDeo Effectiveness and Memorability Dataset. 41-54 - Rui Fernandes, Nuno Lopes, Paulo Teixeira, Joaquim Gonçalves:
Penetration Testing with AI: Case Studies on LLM and RL-Based Attack Agents. 55-65 - Mario Jerez-Tallón, Ismael Beviá-Ballesteros, Nahuel E. Garcia-D'Urso, Kilian Toledo-Guedes, Jorge Azorín López, Andrés Fuster Guilló:
Comparative Study of Deep Learning Approaches for Fish Origin Classification. 66-78 - Felipe P. Marinho, Wellington D. de Almeida, Victor Oliveira Santos, Paulo R. B. Silva, Ajalmar R. da Rocha Neto:
Sparse Least Square SVM in Primal via Nesterov Accelerated Alternating Directions Method of Multipliers. 79-93
AI: Bioinformatics and Biomedical Applications
- Marco Nicolini, Federico Stacchietti, Carlos Cano, Elena Casiraghi, Giorgio Valentini:
A Transformer-Based Model to Predict Micro RNA Interactions. 97-109 - Nuno Alves, Nuno S. Osório, Vítor Pereira, Miguel Rocha:
Leveraging Large Language Models on Assay Descriptions to Improve the Prediction of Inhibitors for Mycobacterium Tuberculosis. 110-122 - Mohammad Maghsoudimehrabani, Edward R. Sykes:
Advancing Imminent Fracture Risk Prediction: Integrating Machine Learning with Enhanced Feature Engineering. 123-137 - Louzanne Swart, Andries P. Engelbrecht, Lyn-Marié Birkholtz:
Self-organizing Maps for Missing Value Imputation in Transcriptomic Datasets. 138-150
ANN HW-Accelerators
- René Griessl, Florian Porrmann, Kevin Mika, Lennart Tigges, Jens Hagemeyer:
RECS: A Scalable Platform for Heterogeneous AI Acceleration in the Cloud-Edge Continuum. 153-165 - Florian Porrmann, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert:
Evaluating HBM to Accelerate Neural Networks on FPGAs Demonstrated Using Binary Neural Associative Memories. 166-178 - Yu Li, Marc Rothmann, Mario Porrmann:
Resource-Efficient Implementation of Convolutional Neural Networks on FPGAs with STANN. 179-191 - Yu Li, Yufei Mao, Roland Weiss, Mario Porrmann:
High-Performance FPGA-Based CNN Acceleration for Real-Time DC Arc Fault Detection. 192-204 - Kevin Mika, Nils Kucza, Florian Porrmann, Jens Hagemeyer:
Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators. 205-217 - Martin Flasskamp, Christian Klarhorst, Jens Hagemeyer:
Comparison of Hardware Component and Manycore Implementation for Anomaly Detection in Trustworthy System-on-Chips. 218-230
Bio-Inspired Systems and Neuro-Engineering
- Fatemeh Saveh, Mohand Tahar Soualah, Kurosh Madani, Abdennasser Chebira:
An Emotional Classifier for Machine's Artificial Visual Aesthetic Appraisal. 233-247 - Josefa Díaz-Álvarez, Maribel García Arenas, Abel Sánchez-Venegas, Gustavo Romero López, Francisco Fernández de Vega, Pedro Ángel Castillo Valdivieso:
Hardware and Software Influence on EAs Power Consumption. 248-259 - Marina Sparvoli, Ronaldo D. Mansano, Fábio O. Jorge, Daniel G. Fidelis, Gilson S. Goveia, Cleber L. Silva, Antônio F. Silva, Jaime A. Freitas, Henrique C. Gulino, Gustavo Pedretti, José F. D. Chubaci:
Properties of Monoclinic Gallium Oxide Film and Its Photomemristor Application in Nonlinear RMC Circuit. 260-268 - Alexander V. Goltsev, Oleksii Holtsev:
A Perceptron-Like Neural Network Implementing a Learning-Capable K-Nearest Neighbor Classifier. 269-283 - Alberto Fernandez-Sanchez, Marcos Gestal, Julián Dorado, Alejandro Pazos:
From Biological Neurons to Artificial Neural Networks: A Bioinspired Training Alternative. 284-295
Recent Advances in Deep Learning
- Maria Bollin, Wojciech Meler, Jan Piesiewicz, Lukasz Rabalski:
Domain Adaptation of the Whisper ASR Model for Tourism Call Center Transcription in Polish. 299-309 - Petr Hyner, Jan Mrógala, Krystof Krmaschek, Jan Hula:
Learning to Search with Subgoals. 310-321 - Francisco Portal, Javier de Lope, Manuel Graña:
Towards Speaker Independent Speech Emotion Recognition by Means of Dataset Aggregation. 322-333 - Enrique Aldao Pensado, L. Fernández-Pardo, Fernando Veiga López, Caroline P. C. Chanel, Yoko Watanabe, Higinio González-Jorge:
Learning Heuristics for k-NANN-A*: A Deep Learning Approach. 334-344 - Leonid Schwenke, Till Stückemann, Martin Atzmueller:
Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability. 345-357 - David Fernández Martínez, Lorena Chinchilla-Romero, Pablo Muñoz, Pablo Ameigeiras:
Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks. 358-370 - Zhong Liu, Zhengguang Liang, Minlong Huang, Tingjuan Li, Yongqiang Hu, Xiaoming Zhang:
Multi-view Cross Contrastive Learning for Multimodal Knowledge Graph Recommendation. 371-383 - Ganesh Jambhrunkar, Harsh Sharma, Saurav Singla, Thirumalai Kailasam:
MuleTrack: A Lightweight Temporal Learning Framework for Money Mule Detection in Digital Payments. 384-397 - Federico Stacchietti, Marco Nicolini, Leonardo Chimirri, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini:
Modular Deep Neural Networks with Residual Connections for Predicting the Pathogenicity of Genetic Variants in Non Coding Genomic Regions. 398-410 - Ghaidaa Ahmed Ali, José Luis Ávila-Jiménez, Mohammed Ibrahim Al-Twijri, Sebastián Ventura:
Modeling Student-Subject Interactions with GNNs for Grade Prediction. 411-422 - Zheshuo Lin, Rubén Tous, Beatriz Otero:
Deploying Vision Foundation AI Models on the Edge. The SAM2 Experience. 423-434 - Mircea-Andrei Radu, Ionut-Cristian Calinescu, Nebojsa Bacanin, Leonard Ionescu, Lucian Popescu-Vava, Catalin Stoean:
Generative AI for Contextualizing Bronze Age Objects in Historical Scenes. 435-446 - Aditya Mathur, Nikhil Gumasthi, Kapil Sangani, Shriram Ankitha, Mohit Agrawal, Satyaprasad Rao, Medabalimi Ravi Kumar, Saurav Singla:
G-TED SAM: Node Classification via Graph Transformer to Simple Attention Model Distillation. 447-458 - José Luis Gómez-Sirvent, Francisco López de la Rosa, Roberto Sánchez-Reolid, Antonio Fernández-Caballero:
Expression Recognition in Faces Partially Occluded by Head-Mounted Displays. 459-470 - Vernon Kok, Absalom Ezugwu, Micheal Olusanya:
Reinforcement Learning for Mapless Navigation: Enhancing Exploration with Image-Based Rewards. 471-483
Deep Learning Applied to Computer Vision, Healthcare and Robotics
- Sergio Suescun-Ferrandiz, Miguel Cazorla, Francisco Gomez-Donoso:
Human Activity Recognition in the Classroom Using Low-Cost Sensors. 487-499 - Francisco Bérchez-Moreno, Francisco Moreno-Cano, David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Hybrid Dropout for Deep Ordinal Classification. 500-511 - Nuria Velasco-Pérez, Juan Arnaez, Álvaro Herrero, Nuño Basurto, Daniel Urda:
Enhanced Video-Based Eye Status Detection in Term Infants. 512-521 - Francisco Bérchez-Moreno, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, David Guijo-Rubio, Luca Romeo, Edoardo Conti, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification. 522-533 - Sara Kamali, Fabiano Baroni, Pablo Varona:
Self-attentive Bidirectional LSTM Networks for Temporal Decoding of EEG Motor States. 534-545 - Hamza Riaz, Alan F. Smeaton:
Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation. 546-560 - David de la Rosa, María José del Jesus, María Dolores Pérez-Godoy, Francisco Charte:
MORENA: Empty Images Detection Based on Unsupervised Reconstruction Error Analysis. 561-574 - Anibal Mantilla-Guerra, Christian Mejía Escobar, Jorge Azorín López, José García Rodríguez:
Methodological Framework for the Creation of Digital Twins for Photovoltaic Power Plants. 575-585 - Jonathan Quintuña, Vinicio Changoluisa:
Decoding Brain Lobe Contributions in EEG for Automatic Detection of Obstructive Sleep Apnea. 586-597
Emerging Methodologies in Time Series Forecasting
- Takudzwa Masunungure, Andries P. Engelbrecht:
Forecasting Non-stationary Time Series: A Comparison of Deep and Shallow Neural Network Architectures. 601-615 - Pablo Reina-Jiménez, María Martínez-Ballesteros, José C. Riquelme:
Deep Learning or Trees? A Trade-off Analysis for Multivariate Time Series Forecasting. 616-627 - Adrian M. P. Brasoveanu, Lyndon J. B. Nixon, Arno Scharl:
Hybrid AI Models for Structured Mobility Prediction in Metropolitan Areas. 628-639 - Bogdan Marian Diaconu, Luminita Georgeta Popescu:
XAI for Univariate and Multivariate Time Series Forecasting. A Case Study on Electricity Consumption in Romania's National Electricity Network. 640-652 - Ciro Rodriguez-Leon, Maria Dolores Aviles, Oresti Banos, Pablo Lopez-Ibarra, Manuel Munoz-Torres, Miguel Quesada-Charneco, Claudia Villalonga:
Assessing Bias in the Evaluation of Blood Glucose Prediction Models. 653-663
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