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ORCID19th HAIS 2024: Salamanca, Spain - Part I
- Héctor Quintián
, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci:
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14857, Springer 2025, ISBN 978-3-031-74182-1
Biomedical Applications
- Daniel Cieslak, Barbara Szyca, Michalina Razik, Liwia Florkiewicz, Anna Prus, Hubert Lis, Kinga Grzeda, Weronika Bajko, Helena Kamieniecka, Weronika Matwiejuk, Inga Rozumowicz, Wiktoria Ziembakowska, Mariusz Kaczmarek:
Surface EMG Profiling in Parkinson's Disease: Advancing Severity Assessment with GCN-SVM. 3-15 - David Fernández-Madera González, Fernando Moncada Martins, Víctor M. González, José R. Villar, Beatriz García-López, Ana Isabel Gómez-Menéndez:
Batch-Balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data. 16-28 - Ana Guerrero-Tamayo, Borja Sanz-Urquijo, Isabel Olivares, María-Dolores Moragues Tosantos, Concepción Casado, Iker Pastor-López:
The Third Codon Nucleotide's Role in Genetic Recombination Within SARS-CoV-2 Spike Protein: A Pilot Study. 29-40 - Guillermo Cano-Escalera, Manuel Graña, Karina S. MacDowell, Juan C. Leza, Iaki Zorilla, Ana Gonzlez-Pinto:
Machine Learning for the Identification of Biomarker and Risk Factors associated with Depression in Adult Population: Preliminary Results on a Small Cohort. 41-48 - Ana Guerrero-Tamayo, Borja Sanz-Urquijo, Isabel Olivares, María-Dolores Moragues Tosantos, Concepción Casado, Iker Pastor-López:
Unveiling HIV-1 U Sequences: Shedding Light Through Transfer Learning on Genomic Spectrograms. 49-60 - José Roberto Grande-Ramírez, Eduardo Roldán Reyes, Jesús Delgado-Maciel, Guillermo Cortes Robles, Ramiro Meza-Palacios:
Model to Early Detection of Autism Spectrum Disorder Through Opinion Mining Approach. 61-72 - Dragan Simic, Zorana Bankovic, José R. Villar, José Luís Calvo-Rolle, Svetislav D. Simic, Svetlana Simic:
A Short Analysis of Hybrid Approaches in COVID‑19 for Detection and Diagnosing. 73-84 - Hyung-Jun Moon, Tae-Hoon Kang, Sung-Bae Cho:
A Graph Neural Network with Multi-head Attention for Universal Brain Disease Diagnosis from fMRI Images. 85-97 - Nuria Velasco-Pérez, Samuel Lozano-Juárez, Lucía Núñez-Calvo, Nuño Basurto, Juan Arnaez, Daniel Urda:
A Computer Vision Approach to Detect Facial Characteristics Related to Encephalopathy in Term Infants. 98-109
Data Mining and Decision Support Systems
- Miguel Garcia-Bohigues, Joaquín Taverner, Javier Palanca, Vicente J. Botti:
SPADE Norms: a Distributed General Framework for Normative Multi-agent Systems. 113-125 - Pablo León Alazraki Salas, Andrés Gómez de Silva Garza:
Finding Optimal Classroom Arrangements to Minimize Cheating in Exams Using a Hybrid AI System. 126-138 - Marcos Barcina-Blanco, Jesus L. Lobo, Pablo García Bringas, Javier Del Ser:
Resilience to the Flowing Unknown: An Open Set Recognition Framework for Data Streams. 139-152 - Enol García González, José R. Villar, Javier Sedano:
A Comparison Procedure for the Evaluation of Metaheuristics. 153-164 - Blanca Cano, Ángela Fernández Pascual, José R. Dorronsoro:
Nyström and RFF Ensembles for Large-Scale Kernel Predictions. 165-176 - David Escudero García, Noemí DeCastro-García:
Application of Transfer Learning to Online Models in Malware Detection. 177-189 - Acélio Sousa, Thiago Alves Rocha, Ajalmar Rêgo da Rocha Neto:
A New Training Algorithm for Support Vector Machines. 190-201 - Artem Prokhorenko, Evgenii Dzhivelikian, Petr Kuderov, Aleksandr Panov:
Soft Adaptive Segments for Bio-Inspired Temporal Memory. 202-213 - Miguel Cárdenas-Montes, Laura Toribio San Cipriano, Jacobo Asorey Barreiro, Juan de Vicente, Ignacio Sevilla-Noarbe:
Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes. 214-225 - Manuel P. Cuéllar, Luis Gonzaga Baca Ruiz, M. C. Pegalajar:
Implementation of Classical Decision Trees in a Quantum Computing Paradigm. 226-237 - Jon Gardeazabal-Gutierrez, Erik B. Terres-Escudero, Pablo García Bringas:
Machine Learning Methods as Robust Quantum Noise Estimators. 238-247
Deep Learning
- Madalina Dicu, Enol García González, Camelia Chira, José R. Villar:
The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images. 251-262 - David Solís Martín, Juan Galán-Páez, Joaquín Borrego-Díaz:
Bayesian Model Selection Pruning in Predictive Maintenance. 263-274 - Lucía Núñez-Calvo, Nuria Velasco-Pérez, Samuel Lozano-Juárez, Álvaro Herrero, Juan Arnaez, Daniel Urda:
Neonates Crying Detection Through Feature Extraction and Machine Learning Methods. 275-285 - Min-Seo Kwak, Hyung-Jun Moon, Sung-Bae Cho:
Differentiable Prototypes with Distributed Memory Network for Continual Learning. 286-298
Evolutionary Computation and Optimization
- Nguyen Tu Nam, Hiroki Takahashi:
Efficient Continuous Sign Language Recognition with Temporal Shift and Channel Attention. 301-311 - Cosmin Sabo, Bogdan Teglas, Petrica C. Pop, Adrian Petrovan:
Solving the Clustered Minimum Routing Tree Problem Using Prüfer-Coding Based Hybrid Genetic Algorithms. 312-323 - Adrian Petrovan, Oliviu Matei, Petrica C. Pop, Cosmin Sabo:
Diversity Population Metrics in Diploid and Haploid Genetic Algorithm Variants. 324-338 - Amelia Zafra, Bruno Veloso, João Gama:
Early Failure Detection for Air Production Unit in Metro Trains. 339-351
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