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ORCIDIWANN 2023, Ponta Delgada, Portugal - Part II
- Ignacio Rojas
, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14135, Springer 2023, ISBN 978-3-031-43077-0
Deep Learning and Applications
- José F. Torres, S. Valencia, Francisco Martínez-Álvarez, N. Hoyos:
Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning. 3-14 - M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés:
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. 15-26 - Hichem Debbi:
CauSim: A Causal Learning Framework for Fine-Grained Image Similarity. 27-38 - David de la Rosa, Antonio Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera, María José del Jesus, Francisco Charte:
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images. 39-51 - Tatiana Kolmakova, Ilya Makarov:
Efficient Transformer for Video Summarization. 52-65 - Paulina Leszczelowska, Maria Bollin, Karol Lempkowski, Mateusz Zak, Jacek Ruminski:
Driver's Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms. 66-78 - Krzysztof Walentukiewicz, Albert Masiak, Aleksandra Galka, Justyna Jelinska, Michal Lech:
On-Line Authenticity Verification of a Biometric Signature Using Dynamic Time Warping Method and Neural Networks. 79-90 - El Mahdi Mercha, Houda Benbrahim, Mohammed Erradi:
SlideGCN: Slightly Deep Graph Convolutional Network for Multilingual Sentiment Analysis. 91-103 - Mohand Tahar Soualah, Fatemeh Saveh, Kurosh Madani:
Toward Machine's Artificial Aesthetic Perception: Could Machines Appreciate the Beauty? 104-117 - Martyna Wojnar, Tomasz Grzejszczak, Natalia Bartosiak:
Detection and Visualization of User Facial Expressions. 118-129 - Leila Hamdad, Cylia Laoufi, Rima Amirat, Karima Benatchba, Souhila Sadeg:
Offline Substitution Machine Learning Model for the Prediction of Fitness of GA-ARM. 130-142
Deep Learning Applied to Computer Vision and Robotics
- Marina Aguilar-Moreno, Manuel Graña:
Phenotype Discrimination Based on Pressure Signals by Transfer Learning Approaches. 145-156 - Félix Escalona, Francisco Gomez-Donoso, Francisco Morillas-Espejo, Monica Pina-Navarro, Luis Marquez-Carpintero, Miguel Cazorla:
AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device. 157-168 - Petr Dvorácek, Petr Hurtík, Petra Stevuliáková:
Effective Black Box Adversarial Attack with Handcrafted Kernels. 169-180 - Natalia Bartosiak, Adam Galuszka, Martyna Wojnar:
Implementation of a Neural Network for the Recognition of Emotional States by Social Robots, Using 'OhBot'. 181-193 - Antonio-Jesús Banegas-Luna, José-Raúl Ruiz-Sarmiento, Gregorio Ambrosio-Cestero, Javier González Jiménez:
Towards a Voxelized Semantic Representation of the Workspace of Mobile Robots. 194-205 - Petra Stevuliáková, Petr Hurtík:
Intersection over Union with Smoothing for Bounding Box Regression. 206-216 - Luis Zhinin-Vera, Jonathan Zhiminaicela-Cabrera, Elena Pretel, Pamela Suárez, Oscar Chang, Francesc Anton Castro, Francisco López de la Rosa:
Artificial Vision Technique to Detect and Classify Cocoa Beans. 217-228 - Olga Vais, Ilya Makarov:
Efficient Blind Image Super-Resolution. 229-240 - Aleksei Pokoev, Ilya Makarov:
LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment. 241-253 - Sandra Amador, José Perona, Claudia Villalonga, Jorge Azorin, Oresti Banos, David Gil:
Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review. 254-265
General Applications of Artificial Intelligence
- Andre Loechte, Jan-Ole Thranow, Felix Winters, Andreas Heller, Peter Glösekötter:
Comparison of ANN and SVR for State of Charge Regression Evaluating EIS Spectra. 269-279 - Renata Avros, Dan Lemberg, Elena V. Ravve, Zeev Volkovich:
An Approach to Predicting Social Events via Dailies Tracking. 280-291 - Renata Teixeira, Francisco Supino Marcondes, Henrique Lima, Dalila Durães, Paulo Novais:
Data Fusion for Prediction of Variations in Students Grades. 292-303 - Enrique Brazález, Gregorio Díaz, Hermenegilda Macià, Valentín Valero:
Designing a Fault Detection System for Wind Turbine Control Monitoring Using CEP. 304-314 - Alexandru Dinca, Dan Popescu, Cristina Maria Pinotti, Loretta Ichim, Lorenzo Palazzetti, Nicoleta Angelescu:
Halyomorpha Halys Detection in Orchard from UAV Images Using Convolutional Neural Networks. 315-326 - Evgeniia Ondar, Ilya Makarov:
Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning. 327-336
Interaction with Neural Systems in Both Health and Disease
- Prosper Azaglo, Pepijn van de Ven, Rachel M. Msetfi, John Nelson:
Machine Learning Models for Depression Detection Using the Concept of Perceived Control. 339-351 - Ondrej Rozinek, Petr Dolezel:
ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks. 352-363 - Federica Colonnese, Francecso Di Luzio, Antonello Rosato, Massimo Panella:
Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. 364-375 - Manuel Fernández-Carmona, Joaquín Ballesteros, Jesús M. Gómez de Gabriel, Cristina Urdiales:
On Stability Assessment Using the WalkIT Smart Rollator. 376-387 - John Nelson, Jordi Ollé, Xavier Parra, Carlos Pérez-López, Oscar Macho-Pérez, Marta Arroyo-Huidobro, Andreu Català:
Data Analysis and Generation in the ENVELLINT Longitudinal Study to Determine Loss of Functionality in Elderly People. 388-399
Machine Learning for 4.0 Industry Solutions
- Tomasz Grzejszczak, Adam Galuszka, Jaroslaw Smieja, Marek Harasny, Maciej Zalwert:
Prediction of Transportation Orders in Logistics Based on LSTM: Cargo Taxi. 403-410 - Brandon Warner, Edward R. Ratner, Amaury Lendasse:
X-ELM: A Fast Explainability Approach for Extreme Learning Machines. 411-422 - Marek Vajgl, Petr Hurtík:
Replacing Goniophotometer with Camera and U-Net with Hypercolumn Rescale Block. 423-434 - Dylan Molinié, Kurosh Madani, Véronique Amarger:
Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0. 435-450 - Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer:
Adversarial Attacks on Leakage Detectors in Water Distribution Networks. 451-463
Neural Networks in Chemistry and Material Characterization
- Ruxandra Stoean, Patricio García Báez, Carmen Paz Suárez Araujo, Nebojsa Bacanin, Miguel A. Atencia Ruiz, Catalin Stoean:
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. 467-478 - Catalin Stoean, Nebojsa Bacanin, Zeev Volkovich, Leonard Ionescu, Ruxandra Stoean:
Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. 479-490 - Marco Vannucci, Valentina Colla:
A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning. 491-502
Ordinal Classification
- Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio:
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. 505-516 - Marcos Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Briceño, César Hervás-Martínez, David Guijo-Rubio:
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. 517-528 - Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. 529-540 - Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A Dictionary-Based Approach to Time Series Ordinal Classification. 541-552
Real World Applications of BCI Systems
- Jordy Thielen:
Effects of Stimulus Sequences on Brain-Computer Interfaces Using Code-Modulated Visual Evoked Potentials: An Offline Simulation. 555-568 - Álvaro Fernández-Rodríguez, Ricardo Ron-Angevin, Francisco Velasco-Álvarez, Jaime Diaz Pineda, Théodore Letouzé, Jean-Marc André:
Evaluation of Visual Parameters to Control a Visual ERP-BCI Under Single-Trial Classification. 569-579 - Víctor Martínez-Cagigal, Eduardo Santamaría-Vázquez, Roberto Hornero:
Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study. 580-590 - Ivan Volosyak, Foluke Adepoju, Piotr Stawicki, Paul Rulffs, Atilla Cantürk, Lisa Henke:
Gender Influence on cVEP-Based BCI Performance. 591-602 - Eduardo Santamaría-Vázquez, Víctor Martínez-Cagigal, Roberto Hornero:
Bit-Wise Reconstruction of Non-binary Visual Stimulation Patterns from EEG Using Deep Learning: A Promising Alternative for User-Friendly High-Speed c-VEP-Based BCIs. 603-614
Spiking Neural Networks: Applications and Algorithms
- Elisa Guerrero, Fernando M. Quintana, Maria De La Paz Guerrero-Lebrero:
Event-Based Regression with Spiking Networks. 617-628 - Udayanga G. W. K. N. Gamage, Luca Zanatta, Matteo Fumagalli, Cesar Cadena, Silvia Tolu:
Event-Based Classification of Defects in Civil Infrastructures with Artificial and Spiking Neural Networks. 629-640 - Maria De La Paz Guerrero-Lebrero, Fernando M. Quintana, Elisa Guerrero:
SpikeBALL: Neuromorphic Dataset for Object Tracking. 641-652 - Paolo Gabriel Cachi, Sebastián Ventura Soto, Krzysztof J. Cios:
TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning. 653-663
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