Table of Contents

• CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical ProblemsRicardo Santos 0006, Bruno Ribeiro 0009, Isabel Curioso, Marília Barandas, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Inês Sousa. 3-18 [doi]
• Neuro-symbolic Artificial Intelligence for Patient MonitoringOle Fenske, Sebastian Bader 0001, Thomas Kirste. 19-25 [doi]
• Direct One-to-All Lead Conversion on 12-Lead ElectrocardiogramSamir Braga Chaves, José Antônio Fernandes de Macêdo, Regis Pires Magalhães, Lívia Almada Cruz, Bruna Raynara Maia Batista. 26-40 [doi]
• Unveiling Driver Modules in Lung Cancer: A Clustering-Based Gene-Gene Interaction Network AnalysisGolnaz Taheri, Marcell Szalai, Mahnaz Habibi, Panagiotis Papapetrou. 41-58 [doi]
• Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate SegmentationLucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi. 59-72 [doi]
• Predicting Sepsis Onset with Deep Federated LearningLena Mondrejevski, Daniel Azzopardi, Ioanna Miliou. 73-86 [doi]
• A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma PatientsFranco Rugolon, Korbinian Randl, Maria Bampa, Panagiotis Papapetrou. 87-102 [doi]
• Molecular Fingerprints-Based Machine Learning for Metabolic ProfilingChristel Sirocchi, Federica Biancucci, Muhammad Suffian Nizami, Riccardo Benedetti, Matteo Donati, Stefano Ferretti, Alessandro Bogliolo, Mauro Magnani, Michele Menotta, Sara Montagna. 103-111 [doi]
• Neural Networks Comprising Sequentially Semiseparable Matrices with One Dimensional State Variable are Universal ApproximatorsMatthias Kissel, Klaus Diepold. 115-125 [doi]
• TinyMetaFed: Efficient Federated Meta-learning for TinyMLHaoyu Ren, Xue Li 0001, Darko Anicic, Thomas A. Runkler. 126-137 [doi]
• On the Potentials of Input Repetition in CNN Networks for Reducing MultiplicationsLaura Medina, José Flich. 138-152 [doi]
• The Quest of Finding the Antidote to Sparse Double DescentVictor Quétu, Marta Milovanovic. 153-167 [doi]
• Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar DataMassimo Pavan, Luis González Navarro, Armando Caltabiano, Manuel Roveri. 168-184 [doi]
• Towards Comparable Knowledge Distillation in Semantic Image SegmentationOnno Niemann, Christopher Vox, Thorben Werner. 185-200 [doi]
• Combining Primal and Dual Representations in Deep Restricted Kernel Machines ClassifiersFrancesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens. 201-216 [doi]
• Addressing Limitations of TinyML Approaches for AI-Enabled Ambient Intelligence - Position PaperAntoine Bonneau, Frédéric Le Mouël, Fabien Mieyeville. 217-225 [doi]
• Leveraging Low Rank Filters for Efficient and Knowledge-Preserving Lifelong LearningMuhammad Tayyab, Abhijit Mahalanobis. 226-241 [doi]
• Learning When to Observe: A Frugal Reinforcement Learning Framework for a High-Cost WorldColin Bellinger, Isaac Tamblyn, Mark Crowley 0001. 242-257 [doi]
• Exploiting Causal Knowledge During CATE Estimation Using Tree Based MetalearnersRoger Pros, Jordi Vitrià. 261-276 [doi]
• A Parameter-Free Bayesian Framework for Uplift Modeling Application on Telecom DataMina Rafla, Nicolas Voisine, Bruno Crémilleux. 277-291 [doi]
• A Churn Prediction Dataset from the Telecom Sector: A New Benchmark for Uplift ModelingThéo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi. 292-299 [doi]
• Semi-supervised Co-teaching for Monitoring Motor States of Parkinson's Disease PatientsKamer Ali Yuksel, Golara Javadi, Ahmet Gunduz. 303-311 [doi]
• Explainable Artificial Intelligence in Medical Diagnostics: Insights into Alzheimer's DiseaseAli Nawaz, Amir Ahmad. 312-319 [doi]
• Cross-Modal Video to Body-Joints Augmentation for Rehabilitation Exercise Quality AssessmentAli Abedi 0006, Mobin Malmirian, Shehroz S. Khan. 320-327 [doi]
• Multimodal Sensor Fusion for Daily Living Activity Recognition in Active Assisted Living for Older AdultsKang Wang, Himalaya Sharma, Jasleen Kaur 0004, Shi Cao, Plinio P. Morita. 328-335 [doi]
• Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive SensorsYueyi Ge, Ingrid Zukerman, Mahsa Salehi, Mor Vered. 336-344 [doi]
• Assessing Frailty Using Behavioral and Physical Health Data in Everyday Living SettingsChao Bian 0004, Shehroz S. Khan, Alex Mihailidis. 345-352 [doi]
• Synthesizing Diabetic Foot Ulcer Images with Diffusion ModelReza Basiri, Karim Manji, Francois Harton, Alisha Poonja, Milos R. Popovic, Shehroz S. Khan. 353-360 [doi]
• Engaging Older Adults at Meal-Time Through AI-Empowered Socially Assistive RobotsBerardina De Carolis, Corrado Loglisci, Nicola Macchiarulo, Giuseppe Palestra. 361-368 [doi]
• Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian NetworksErica Tavazzi, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo. 369-377 [doi]
• Harnessing Error Patterns to Estimate Out-of-Distribution PerformanceThomas Bonnier, Benjamin Bosch. 381-389 [doi]
• HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal CuesAnkit Jha, Debabrata Pal, Mainak Singha, Naman Agarwal, Biplab Banerjee. 390-398 [doi]
• CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object ClassificationDennis Ritter, Mike Hemberger, Marc Hönig, Volker Stopp, Erik Rodner, Kristian Hildebrand. 399-415 [doi]
• EMG Subspace Alignment and Visualization for Cross-Subject Hand Gesture ClassificationMartin Colot, Cédric Simar, Mathieu Petieau, Ana-Maria Cebolla Alvarez, Guy Cheron, Gianluca Bontempi. 416-423 [doi]
• Adapting Classifiers to Changing Class Priors During DeploymentNatnael Daba, Bruce McIntosh, Abhijit Mahalanobis. 424-432 [doi]
• Applying Machine Learning Models on Metrology Data for Predicting Device Electrical PerformanceBappaditya Dey, Anh Tuan Ngo, Sara Sacchi, Víctor Blanco, Philippe Leray 0002, Sandip Halder. 435-453 [doi]
• Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply ChainsFrancesco Stranieri, Fabio Stella. 454-469 [doi]
• Reinforcement Learning for Segmented ManufacturingNathalie Paul, Alexander Kister, Thorben Schnellhardt, Maximilian Fetz, Dirk Hecker, Tim Wirtz. 470-485 [doi]
• Automatic Tool Wear Inspection by Cascading Sensor and Image DataRobbert Verbeke, Lars De Pauw, Fabian Fingerhut, Tom Jacobs, Toon Goedemé, Elena Tsiporkova. 486-501 [doi]