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IWANN 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
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
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
Driver's Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms. 66-78 - Krzysztof Walentukiewicz
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
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
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
Effective Black Box Adversarial Attack with Handcrafted Kernels. 169-180 - Natalia Bartosiak
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
Towards a Voxelized Semantic Representation of the Workspace of Mobile Robots. 194-205 - Petra Stevuliáková
Intersection over Union with Smoothing for Bounding Box Regression. 206-216 - Luis Zhinin-Vera
Artificial Vision Technique to Detect and Classify Cocoa Beans. 217-228 - Olga Vais
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
Comparison of ANN and SVR for State of Charge Regression Evaluating EIS Spectra. 269-279 - Renata Avros, Dan Lemberg, Elena V. Ravve
An Approach to Predicting Social Events via Dailies Tracking. 280-291 - Renata Teixeira
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
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
ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks. 352-363 - Federica Colonnese
Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection. 364-375 - Manuel Fernández-Carmona
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
Prediction of Transportation Orders in Logistics Based on LSTM: Cargo Taxi. 403-410 - Brandon Warner, Edward R. Ratner
X-ELM: A Fast Explainability Approach for Extreme Learning Machines. 411-422 - Marek Vajgl
Replacing Goniophotometer with Camera and U-Net with Hypercolumn Rescale Block. 423-434 - Dylan Molinié
Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0. 435-450 - Paul Stahlhofen
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
Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. 467-478 - Catalin Stoean, Nebojsa Bacanin
Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs. 479-490 - Marco Vannucci
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
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. 505-516 - Marcos Rivera-Gavilán
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. 517-528 - Javier Barbero-Gómez
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. 529-540 - Rafael Ayllón-Gavilán
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
Evaluation of Visual Parameters to Control a Visual ERP-BCI Under Single-Trial Classification. 569-579 - Víctor Martínez-Cagigal
Toward Early Stopping Detection for Non-binary c-VEP-Based BCIs: A Pilot Study. 580-590 - Ivan Volosyak
Gender Influence on cVEP-Based BCI Performance. 591-602 - Eduardo Santamaría-Vázquez
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
Event-Based Regression with Spiking Networks. 617-628 - Udayanga K. N. G. W. 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
SpikeBALL: Neuromorphic Dataset for Object Tracking. 641-652 - Paolo Gabriel Cachi
TM-SNN: Threshold Modulated Spiking Neural Network for Multi-task Learning. 653-663
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