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ORCID24th IDEAL 2024: Valencia, Spain - Part I
- Vicente Julián
, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2024 - 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15346, Springer 2025, ISBN 978-3-031-77730-1
Main
- Peter Mitic:
Quantitative Estimation of Reputation Risk. 3-14 - Triet M. Nguyen, Nghiem T. Pham, Hieu M. Doan, Khoa D. Tran, Bao Q. Tran, Khiem Huynh Gia, Nam B. Tran, Hong Khanh Vo:
Dissecting Data Practices in Android Apps: A Comparative Study of Data Collection and Sharing Behaviors. 15-26 - Jeroen Albrechts, Hugo M. Martin, Maryam Tavakol:
Model-Based Meta-reinforcement Learning for Hyperparameter Optimization. 27-39 - Luis Correas-Naranjo, Miguel Camacho-Sánchez, Laëtitia Launet, Milena Zuric, Valery Naranjo:
Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization. 40-50 - Théophile Berteloot, Richard Khoury, Audrey Durand:
Association Rules Mining with Auto-encoders. 51-62 - María Valero-Redondo, Javier Huertas-Tato, Sergio D'Antonio-Maceiras, Alejandro Martín, David Camacho:
Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers. 63-74 - Georgian Anghelescu, Camelia Chira, Kristoffer N. T. Månsson:
Automatic Classification of Signal and Noise in Functional Magnetic Resonance Imaging Scans Using Convolutional Neural Networks. 75-84 - Daniel Romero-Alvarado, José Hernández-Orallo, Fernando Martínez-Plumed:
How Resilient are Language Models to Text Perturbations? 85-96 - Debashis Naskar, Subhashis Das, Sara Rodríguez-González:
Emotional Sequential Influence Modeling on False Information. 97-102 - Subhashis Das, Debashis Naskar, Sara Rodríguez-González:
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability. 103-109 - Álvaro Novillo, Víctor Aceña, Carmen Lancho, Marina Cuesta, Isaac Martín de Diego:
Padel Two-Dimensional Tracking Extraction from Monocular Video Recordings. 110-120 - Vitor Augusto da Rosa Pereira, Rafael Alceste Berri, Fernando Santos Osório:
Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches. 121-132 - Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut:
Benchmarking Out of the Box Open-Source LLMs for Malware Detection Based on API Calls Sequences. 133-142 - Adrian Giron-Jimenez, Javier Huertas-Tato, David Camacho:
Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Reddit. 143-154 - Isil Baysal Erez, Jan Flokstra, Mannes Poel, Maurice van Keulen:
MetaLIRS: Meta-learning for Imputation and Regression Selection. 155-166 - Hugo Gabrielidis, Filippo Gatti, Stéphane Vialle:
Pipeline for Semantic Segmentation of Large Railway Point Clouds. 167-179 - Pranay Jaiswal, Abhishek Kaushik, Fiona Lawless, Tiago De Melo Malaquias, Fergal McCaffery:
Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running. 180-191 - Minh Tien Dam, Viet-Hung Truong, Viet Hung Bui, Anh Tuan Nguyen, Manh Tiem Nguyen:
Efficient Radar Scheduling Using Genetic Algorithms and Stochastic Heuristic Initialization. 192-201 - Markus Schatten, Tomislav Peharda, Bogdan Okresa Duric:
Towards a Communication Specification Language for Heterogeneous Service Orchestration Based on Process Calculus and Holonic Multi-agent Systems. 202-213 - Javier Saugar, Carmen Lancho, Marina Cuesta, Emilio L. Cano, Isaac Martín de Diego, Antonio Amado:
Counterfactual Explanations for Sustainable Tourism Indicators. 214-220 - Bimal Kumar Sah, Doina Logofatu:
Tracking Healthy Organs in Medical Scans to Improve Cancer Treatment by Using UW-Madison GI Tract Image Segmentation. 221-232 - Iago Xabier Vázquez, Ángel Miguel García-Vico, Huseyin Seker, Javier Sedano:
Low Consumption Models for Disease Diagnosis in Isolated Farms. 233-243 - Dmytro Androsov:
Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation. 244-253 - Hoang Quang Anh, Pham Tuan Anh, Pham Son Nguyen, Phan Duy Hung:
Federated Learning for Vietnamese SMS Spam Detection Using Pre-trained PhoBERT. 254-264 - Manuel Luis González Hernandez, Jorge Ruiz, Lidia Andrés, Randy Lozada, Erik S. Skibinsky-Gitlin, Jorge Fernández, Javier Sedano, Ángel Miguel García-Vico:
Deep Learning Inference on Edge: A Preliminary Device Comparison. 265-276 - Hichem Debbi:
Causal Explanation of Graph Neural Networks. 277-288 - Magdalena Wójcik:
The Contribution of Social Sciences Driven User Studies to the Development of Human-Centered Artificial Intelligence. 289-300 - Robert Feldhans, Barbara Hammer:
Towards Reliable Drift Detection and Explanation in Text Data. 301-312 - Fernando García-Torres, Rocío del Amor, Sandra Morales-Martínez, Álvaro Barroso, Björn Kemper, Juergen Schnekenburger, Valery Naranjo:
Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets. 313-324 - Pedro Oliveira, Francisco Franco, Afonso Bessa, Dalila Durães, Paulo Novais:
Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting. 325-336 - Adriano Gomes, Luís M. Silva, João Pedro Cruz:
Predicting Employee Attrition in a Multi-company Setting. 337-348 - Tuhin Banerjee, Andrea Corradini:
A Deep-Learning Approach for the Identification of New Subtypes of Lung Cancer. 349-360 - Mikhail Gritskikh, Artem Isakov, Natalia F. Gusarova, Dmitriy Dobrenko, Ivan Tomilov, Aleksandra Vatian:
Loss Function Role in Processing Sequences with Heavy-Tailed Distributions. 361-374 - Artem Isakov, Danil Peregorodiev, Pavel Brunko, Ivan Tomilov, Natalia F. Gusarova, Alexandra Vatian:
Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective. 375-386 - Óscar Valls, Fran Pastor-Naranjo, Rocío del Amor, Lucía Gómez-Zaragozá, Javier Marín-Morales, Mariano Alcañiz Raya, Valery Naranjo:
Improving Speech Emotion Recognition: Novel Aggregation Strategies for Self-supervised Features. 387-397 - Ilán Carretero, Pablo Meseguer, Rocío del Amor, Valery Naranjo:
Refining Multiple Instance Learning with Attention Regularization for Whole Slide Image Classification. 398-409 - Hugo Sánchez-Navalón, Carlos Monserrat, Darío Garigliotti, Cèsar Ferri:
Evaluating Performance and Trustworthiness of RAG Systems for Generating Administrative Text. 410-421 - Nina Hosseini-Kivanani, Elena Salobrar-García, Lorena Elvira-Hurtado, Mario Salas, Christoph Schommer, Luis A. Leiva:
Blueprint of Tomorrow: Contrasting Off-Line and On-Line Drawing Tasks for Alzheimer's Disease Screening. 422-433 - Cristiana Rocha, Diogo Martinho, Luís Conceição, Paulo Novais, Goreti Marreiros:
Digital Mental Health Apps: Key Features and User Engagement for Better Wellness. 434-446 - Sócrates Llácer Luna, Darío Garigliotti, Fernando Martínez-Plumed, Cèsar Ferri Ramirez:
Automatic PDF Document Classification with Machine Learning. 447-459 - Juan Carlos Luengo, Darío Ramos-López, Rafael Rumí, Ana D. Maldonado:
Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks. 460-471 - Jaeil Park, Sung-Bae Cho:
Age-Unbiased Facial Emotion Recognition with Regularizing Self-Attention Value Vector. 472-480 - Ayah Barhrhouj, Bouchra Ananou, Mustapha Ouladsine:
Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models. 481-492 - Arsenii Tretiakov, Sergio D'Antonio-Maceiras, Alejandro Martín:
Topic Modeling in Telegram Channels During the Russia-Ukraine Conflict. 493-504 - Alexander Graß, Christian Beecks, Stefan Decker:
Structural and Semantic Data Layers in Time Series Analyses. 505-511
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