Abstract is missing.
- Exploring Explainable Machine Learning for Enhanced Ship Performance MonitoringAyah Barhrhouj, Bouchra Ananou, Mustapha Ouladsine. 1-13 [doi]
- Identifying Potential Key Point-of-Sale Customers Using Network CentralityEmir Yalçin, Kerem Kasikci, Remziye Günes, Melih Güven, Murat Koras, Baris Akgün, Mehmet Gönen. 14-23 [doi]
- Hyperparameter Optimization for Driving Strategies Based on Reinforcement LearningNihal Acharya Adde, Hanno Gottschalk, Andreas Ebert. 24-38 [doi]
- Predicting Multiple Sclerosis Worsening Using Stratification-Based and Time-Dependent Variables Extracted from Routine Visits DataAlessandro Guazzo, Enrico Longato, Isotta Trescato, Erica Tavazzi, Adriano Chiò, Umberto Manera, Grazia Zocco, Paola Cavalla, Marco Vercellino, Lara Ahmad, Eleonora Tavazzi, Roberto Bergamaschi, Rema Padman, Barbara Di Camillo. 39-54 [doi]
- Predicting University Dropout Rates Using Machine Learning: UniCt CaseVincenzo Miracula, Francesco Mazzeo Rinaldi, Giovanni Giuffrida. 55-66 [doi]
- Investigating on Gradient Regularization for Testing Neural NetworksNicolò Bellarmino, Alberto Bosio, Riccardo Cantoro, Annachiara Ruospo, Ernesto Sánchez 0001, Giovanni Squillero. 67-81 [doi]
- SKIE-SRL: Structured Key Information Extraction from Business Documents Using Statistical Relational LearningBirgit Kirsch, Xiang Yu, Nilesh Chakraborty, Niclas Doll, Sven Giesselbach, Stefan Rüping 0001. 82-97 [doi]
- Leveraging LLM-Powered Systems to Accelerate Mycobacterium Tuberculosis Research Step One: From Documents to the VectorstoreChristophe Guyeux, David Laiymani, Christophe Sola. 98-111 [doi]
- Vegvisir: Probabilistic Model (VAE) for Viral T-Cell Epitope PredictionLys Sanz Moreta, Ibel Carri, Heli M. Garcia Alvarez, Morten Nielsen 0001. 112-130 [doi]
- Tiny Long-Short Term Memory Model for Resource-Constrained Prediction of Battery Cycle LifeYuchou Chang, Russell Thompson, Christopher Hixenbaugh. 131-144 [doi]
- Compact Artificial Neural Network Models for Predicting Protein Residue - RNA Base BindingStanislav Selitskiy. 145-159 [doi]
- FWin Transformer for Dengue Prediction Under Climate and Ocean InfluenceNhat Thanh Tran, Jack Xin, Guofa Zhou. 160-175 [doi]
- ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line StructuresHubert Bottesch, Christoph Angermann, Christian Laubichler, Constantin Kiesling, Markus Haltmeier. 176-189 [doi]
- Topological Layering of Mouse Brain Activity in Light-Sheet Microscopy DatasetsMargarita Zaleshina, Alexander Zaleshin. 190-202 [doi]
- A Constraint-Based Savings Algorithm for the Traveling Salesman ProblemSven Löffler, Petra Hofstedt. 203-217 [doi]
- Gaussian Process Interpolation with Conformal Prediction: Methods and Comparative AnalysisAurélien Pion, Emmanuel Vazquez. 218-228 [doi]
- Using Embeddings of Pre-trained Models for Cross-Database Dysarthria Detection: Supervised vs. Self-supervised ApproachSally Ismail, Margarita Anastassova, Mehdi Boukallel, Christian Bolzmacher, Mehdi Ammi. 229-239 [doi]
- Personality Profiling for Literary Character Dialogue Agents with Human Level AttributesNicolay Rusnachenko, Huizhi Liang. 240-254 [doi]
- Integrating Logit Space Embeddings for Reliable Out-of-Distribution DetectionVangjush Komini, Sarunas Girdzijauskas. 255-269 [doi]
- A Computational Framework for Identifying Salient Moments in Motion Capture DataGabriele Romano, Sanket Rajeev Sabharwal, Giorgio Gnecco, Antonio Camurri. 270-281 [doi]
- Machine Learning for the Evaluation of the Nephrops norvegicus PopulationMarco Reggiannini, Michela Martinelli, Oscar Papini, Lorenzo Zacchetti, Filippo Domenichetti, Gabriele Pieri. 282-295 [doi]
- Enhancing Cluster-Based Topic Models Through Parametric Dimensionality Reduction with Transformer-EncodersRyan Hodgson, Alexandra I. Cristea, John Graham. 296-311 [doi]
- Enhancing Arrhythmia Detection Using an Ensemble of Transformer Models for Heartbeat ClassificationJaune Malukaite, Povilas Treigys, Jolita Bernataviciene. 312-322 [doi]
- Rapidly Computing Approximate Graph Convex Hulls via FastMapAng Li, Peter J. Stuckey, Sven Koenig, T. K. Satish Kumar. 323-338 [doi]
- Deep Gaussian Mixture Model for Unsupervised Image SegmentationMatthias Schwab, Agnes Mayr, Markus Haltmeier. 339-352 [doi]
- Address Classification in E-Commerce Logistics Using Federated LearningBaris Bayram, Alaeddin Türkmen, Ayse Dilara Türkmen, Merve Karademir. 353-360 [doi]