Table of Contents

• Generalizable Denoising of Microscopy Images Using Generative Adversarial Networks and Contrastive LearningFélix Fuentes-Hurtado, Jean-Baptiste Sibarita, Virgile Viasnoff. 3-15 [doi]
• Mitigating Class Imbalance in Multiclass Educational Data: A Hybrid One-vs-One and Density-Based Resampling ApproachJohn-Bosco Diekuu, Mahammad Shareef Mekala, John P. Isaacs, Eyad Elyan. 16-27 [doi]
• On the Impact of Greyscale ImageNet Pre-training for Chest X-Ray Model TransferabilitySophie Crawford Haynes, Pamela Johnston, Eyad Elyan. 28-39 [doi]
• On the Use of Smooth-L1 Approximation in Echo State Networks for Sparse and Efficient Temporal ModelingGengcheng Lyu, Manuel Röder, Frank-Michael Schleif. 40-46 [doi]
• Synthetic Data Generation for Clustering Models: A Case Study in Mental Health MonitoringMaría Vidiella Villegas, Victoria López. 47-58 [doi]
• Continuous User Identification Across Devices Using Keystroke DynamicsNabila Mansouri, Salwa Fakhfakh Sahnoun, Hèdi Fekih, Ahmed Ben Ali, Ahmed Fakhfakh. 59-70 [doi]
• FUCO: Fuzzy Counterfactuals ExamplesFrancisco Javier Cantero Zorita, Víctor Aceña, Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza. 71-76 [doi]
• Knowledge Modeling and Distribution Refinement in Pre-trained Model for Class-Incremental LearningHae-Rin Byeon, Sung-Bae Cho. 77-87 [doi]
• Analyzing Urban Green Space Perception Through Predictive Classification of Google Maps Reviews: The Case of Casa de Campo ParkZiwei Shu, Cristina Sánchez-Figueroa, Pablo Villarrubia Sánchez, Álvaro Carrasco-Aguilar. 88-100 [doi]
• Exponential and Quadratic State Discretizations for Wind Turbine Collective Pitch Control Based on Q-LearningA. Gil Maciá, Jesús Enrique Sierra-García, Matilde Santos 0001. 101-112 [doi]
• Machine Learning Lifecycle Management Using Dataspaces for Optimized Machine Parameterization in Recycled Plastic PackagingAlexander Nasuta, Sylwia Olbrych, Christoph Quix, Tim Kaluza, Florian Schaller, Sabrina Steinert, Hans Aoyang Zhou, Anas Abdelrazaq, Robert H. Schmitt. 113-119 [doi]
• Leveraging Sentiment Analysis for Improved Financial Distress Forecasting in Vietnamese-Listed FirmsPham Van Thanh, Phan Duy Hung, Truong Cong Doan. 120-130 [doi]
• PT-PT Synthetic Speech DetectionRafael Geraldo dos Santos, Joana Sousa, José Valente de Oliveira. 131-142 [doi]
• Fast and Frugal Transfer Learning via Precomputed Features and Adaptive NormalizationDaniel Vila-Cruz, Verónica Bolón-Canedo, Laura Morán-Fernández. 143-149 [doi]
• Influence of External Dependency Retrieval and Prompt Engineering in Test Case Generation Using LLMsDavid Lenke, Javier Ferrer, Francisco Chicano. 150-162 [doi]
• MIHT: A Hoeffding Tree for Time Series Classification Using Multiple Instance LearningAurora Esteban, Amelia Zafra, Sebastián Ventura. 163-176 [doi]
• Event Causality Identification via Prompt Learning with Knowledge and MemoryFei Cai, Wanyu Chen, Shen Wang, Guowang Li, Weijie Chen, Junxian Liu. 177-188 [doi]
• Synthetic Data Augmentation for COD Prediction in WTTPs: A Comparative Study of Deep Learning Models with VARMA and TTS-GANAfonso Bessa, Pedro Oliveira 0005, Millena Santos, S. A. Silva, Paulo Novais. 189-201 [doi]
• Contrastive Learning for Correlating Network IncidentsJeremias Dötterl. 202-213 [doi]
• A Computational Framework for Emotion-Sensitive Behavioral Metrics Using a Gamified TaskDiego Riofrío-Luzcando, Miguel De Andrés, Victoria López, Matilde Santos 0001, Diego Urgelés. 214-225 [doi]
• Semantic Intelligence: Graph RAG-Driven Agents for Time Series AnalyticsAlexander Graß, Christopher I. Pack, Diego Collarana, Stefan Decker, Christian Beecks. 226-231 [doi]
• Sparse GAIN: Imputation Methods to Handle Missing Values with Sparse InitializationBrian Patrick van Oers, Isil Baysal Erez, Maurice van Keulen. 232-238 [doi]
• AI-Based Data Augmentation for Cleft Lip Assessment: Generating Realistic Synthetic Videos to Improve Clinical OutcomesJulián Puga, Malena Loza, David Chushig-Muzo, Luis Bote-Curiel, Felipe Grijalva. 239-250 [doi]
• Towards Integrating Monotonicity Constraints Into Hoeffding Trees for Binary ClassificationMieszko Mirgos, Maciej Grzenda. 251-262 [doi]
• Efficient Goal Selection in Automated Planning: A Case Study on Tourist Route OptimizationSergio Marti, Víctor Sánchez-Anguix, Jaume Jordán, Juan M. Alberola, Vicente Julián, Vicent J. Botti. 263-275 [doi]
• Causality in Categorical Data Using Geometric ComplexityAlexandra M. Carvalho, Diogo Cruz, Paulo Mateus, Bruno Mera. 276-288 [doi]
• Integrating Physical Laws and Deep Learning: A Comparative Study of CNN and LSTM PINNs for Wind EnergyPablo-Andrés Buestán-Andrade, Matilde Santos 0001, Jesús Enrique Sierra-García, Nathalia Michelle Peralta Vásconez. 289-300 [doi]
• A Hybrid LSTM-Attention Approach for Missing Data Imputation in IoT Time SeriesAmmara Laeeq, Usman Adeel, Jie Li, Eleanor Starkey. 301-312 [doi]
• Auto-Encoder Architecture for Dynamic Knowledge Graph Construction in Multi-Agent SystemsArtem Isakov, Artem Zaglubotskii, Nikolai Konstantinov, Ivan Tomilov, Natalia F. Gusarova, Alexandra Vatian. 313-323 [doi]
• Improved Deep Learning-Based Optical Mark Recognition for Automated CorrectionMohamed Labrassi, Aziz Ouaarab. 324-330 [doi]
• Reputation: Generative BootstrappingPeter Mitic. 333-344 [doi]
• When to Use Discriminator Ensembles? Cross-Domain Evidence of Multi-Adversarial LearningBenjamin Schindler, Melle Mendikowski, Thomas Schmid 0003, Sam Verboven. 345-357 [doi]
• Using LLM Agents for Data Integration in Cybersecurity IncidentsNatalia Madrueño, Jaime Rueda, Javier García-Ochoa, Alberto Fernández-Isabel, Isaac Martín de Diego, Romy R. Ravines. 358-370 [doi]
• Towards an Evaluative AI Framework for Hypothesis-Driven Strategic Decision-Making in SMEsGines Molina-Abril, Laura Calvet, Daniel Riera. 371-376 [doi]
• Automatic Evaluation of Hallucinations in Large Language Models with Semantic InferenceTeilor Castro, Alberto Fernández-Isabel. 377-388 [doi]
• Personalized and Age-Appropriate Speech Synthesis for Nonverbal Children Using Diffusion-Based Voice Cloning and Parametric VocodingKevin R. Landázuri, Miguel Benavides, Eduardo Cepeda, Fernando Villalba-Meneses, Diego Almeida-Galárraga, Cesar Guevara. 389-400 [doi]
• Multi-dependence Conditional Vector Boosting Categorical Fidelity in Tabular-Data GANsMelle Mendikowski, Benjamin Schindler, Thomas Schmid 0003, Ralf Möller 0001, Mattis Hartwig. 401-412 [doi]
• Anomaly Detection in Wind Turbine Gearbox Vibrations Using Actor-Critic Reinforcement Learning and Bayesian OptimizationDennys Mauricio Vallejo Coronel, Cesar Guevara, Matilde Santos Peñas. 415-426 [doi]
• VQ-GCAE: Vector-Quantized Graph Convolutional Autoencoder for Early Anomaly Detection in Multivariate Time SeriesGwanPil Kim, Jason J. Jung. 427-438 [doi]
• Toward Explainable Industrial AI: The Role of Knowledge GraphsSabri Manai, Szymon Bobek, Grzegorz J. Nalepa, Luiz do Valle Miranda, Krzysztof Kutt, Jason J. Jung. 439-444 [doi]
• A Comparative Study of Machine Learning Models for Two-Tier Android Malware Classification with Dynamic Behavioral AnalysisJorge Torres, Felipe Grijalva, David Chushig-Muzo, Luis Bote-Curiel, Malena Loza. 445-456 [doi]
• Detecting IT Infrastructure Anomalies in Cold Start ScenariosAlexandra Vatian, Artem Beresnev, Radmir Naumenko, Artem Isakov, Natalia F. Gusarova, Vladimir Grudinin. 457-468 [doi]
• Machine Learning vs. Randomness: Challenges in Predicting Binary Options MovementsGabriel M. Arantes, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Fabian Corrêa Cardoso, Rafael A. Berri. 471-481 [doi]
• DeCoL-DSS: Integrating Decentralised Collaborative Machine Learning Into Decision Support SystemSylwia Olbrych, Johanna Lauwigi, Hans Aoyang Zhou, Anas Abdelrazeq, Robert H. Schmitt. 482-493 [doi]
• Evaluating Open-Source Language Models for Sensitive Content Detection in Social MediaCarmengelys Cordova, Aaron Pico, Elena del Val, Joaquín Taverner. 494-504 [doi]
• Towards Intelligent and Immersive Healthcare: Edge-AI, IoMT, and Digital Twins in the MetaverseCédric Marco-Detchart, L. E. Curiel-Herrera, Daniel Urda, Jaime Andres Rincon. 505-514 [doi]
• IoT Cyberattack Detection in MicrocontrollersSara Abejon Perez, Jaime Andres Rincon, Daniel Urda Muñoz. 515-525 [doi]
• Heterogeneous Communication in Decentralized Federated LearningJaime Andres Rincon, Carlos Carrascosa, Giancarlo Lucca, Cédric Marco-Detchart. 526-535 [doi]
• Deep Reinforcement Learning for Client Selection and Resource Allocation in Federated Learning: A Comprehensive SurveyMohammed Amir Messioud, Abdelhamid Malki, Samir Ouchani. 536-546 [doi]
• HealthRAG: Knowledge-Driven Medical QA SystemNguyen Manh Tuan, Tran Ba Cuong, Le Viet Hung, Truong Huu Nhat, Phan Duy Hung. 549-557 [doi]