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ORCIDPKDD/ECML 2023: Turin, Italy - Workshops
- Rosa Meo
, Fabrizio Silvestri:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part IV. Communications in Computer and Information Science 2136, Springer 2025, ISBN 978-3-031-74639-0
PharML, Machine Learning for Pharma and Healthcare Applications
- Ricardo Santos, Bruno Ribeiro, Isabel Curioso, Marília Barandas, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Inês Sousa:
CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems. 3-18 - Ole Fenske, Sebastian Bader, Thomas Kirste:
Neuro-symbolic Artificial Intelligence for Patient Monitoring. 19-25 - Samir Braga Chaves, José Antônio Fernandes de Macêdo, Regis Pires Magalhães, Lívia Almada Cruz, Bruna Raynara Maia Batista:
Direct One-to-All Lead Conversion on 12-Lead Electrocardiogram. 26-40 - Golnaz Taheri, Marcell Szalai, Mahnaz Habibi, Panagiotis Papapetrou:
Unveiling Driver Modules in Lung Cancer: A Clustering-Based Gene-Gene Interaction Network Analysis. 41-58 - Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi:
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. 59-72 - Lena Mondrejevski, Daniel Azzopardi, Ioanna Miliou:
Predicting Sepsis Onset with Deep Federated Learning. 73-86 - Franco Rugolon, Korbinian Randl, Maria Bampa, Panagiotis Papapetrou:
A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients. 87-102 - Christel Sirocchi, Federica Biancucci, Muhammad Suffian Nizami, Riccardo Benedetti, Matteo Donati, Stefano Ferretti, Alessandro Bogliolo, Mauro Magnani, Michele Menotta, Sara Montagna:
Molecular Fingerprints-Based Machine Learning for Metabolic Profiling. 103-111
Simplification, Compression, Efficiency and Frugality for Artificial Intelligence
- Matthias Kissel, Klaus Diepold:
Neural Networks Comprising Sequentially Semiseparable Matrices with One Dimensional State Variable are Universal Approximators. 115-125 - Haoyu Ren, Xue Li, Darko Anicic, Thomas A. Runkler:
TinyMetaFed: Efficient Federated Meta-learning for TinyML. 126-137 - Laura Medina, José Flich:
On the Potentials of Input Repetition in CNN Networks for Reducing Multiplications. 138-152 - Victor Quétu, Marta Milovanovic:
The Quest of Finding the Antidote to Sparse Double Descent. 153-167 - Massimo Pavan, Luis González Navarro, Armando Caltabiano, Manuel Roveri:
Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar Data. 168-184 - Onno Niemann, Christopher Vox, Thorben Werner:
Towards Comparable Knowledge Distillation in Semantic Image Segmentation. 185-200 - Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. 201-216 - Antoine Bonneau, Frédéric Le Mouël, Fabien Mieyeville:
Addressing Limitations of TinyML Approaches for AI-Enabled Ambient Intelligence - Position Paper. 217-225 - Muhammad Tayyab, Abhijit Mahalanobis:
Leveraging Low Rank Filters for Efficient and Knowledge-Preserving Lifelong Learning. 226-241 - Colin Bellinger, Isaac Tamblyn, Mark Crowley:
Learning When to Observe: A Frugal Reinforcement Learning Framework for a High-Cost World. 242-257
Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making
- Roger Pros, Jordi Vitrià:
Exploiting Causal Knowledge During CATE Estimation Using Tree Based Metalearners. 261-276 - Mina Rafla, Nicolas Voisine, Bruno Crémilleux:
A Parameter-Free Bayesian Framework for Uplift Modeling Application on Telecom Data. 277-291 - Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi:
A Churn Prediction Dataset from the Telecom Sector: A New Benchmark for Uplift Modeling. 292-299
6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL)
- Kamer Ali Yuksel, Golara Javadi, Ahmet Gunduz:
Semi-supervised Co-teaching for Monitoring Motor States of Parkinson's Disease Patients. 303-311 - Ali Nawaz, Amir Ahmad:
Explainable Artificial Intelligence in Medical Diagnostics: Insights into Alzheimer's Disease. 312-319 - Ali Abedi, Mobin Malmirian, Shehroz S. Khan:
Cross-Modal Video to Body-Joints Augmentation for Rehabilitation Exercise Quality Assessment. 320-327 - Kang Wang, Himalaya Sharma, Jasleen Kaur, Shi Cao, Plinio P. Morita:
Multimodal Sensor Fusion for Daily Living Activity Recognition in Active Assisted Living for Older Adults. 328-335 - Yueyi Ge, Ingrid Zukerman, Mahsa Salehi, Mor Vered:
Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors. 336-344 - Chao Bian, Shehroz S. Khan, Alex Mihailidis:
Assessing Frailty Using Behavioral and Physical Health Data in Everyday Living Settings. 345-352 - Reza Basiri, Karim Manji, Francois Harton, Alisha Poonja, Milos R. Popovic, Shehroz S. Khan:
Synthesizing Diabetic Foot Ulcer Images with Diffusion Model. 353-360 - Berardina De Carolis, Corrado Loglisci, Nicola Macchiarulo, Giuseppe Palestra:
Engaging Older Adults at Meal-Time Through AI-Empowered Socially Assistive Robots. 361-368 - Erica Tavazzi, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo:
Investigating the Dynamics of Cardio-Metabolic Comorbidities and Their Interactions in Ageing Adults Through Dynamic Bayesian Networks. 369-377
Adapting to Change: Reliable Multimodal Learning Across Domains
- Thomas Bonnier, Benjamin Bosch:
Harnessing Error Patterns to Estimate Out-of-Distribution Performance. 381-389 - Ankit Jha, Debabrata Pal, Mainak Singha, Naman Agarwal, Biplab Banerjee:
HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues. 390-398 - Dennis Ritter, Mike Hemberger, Marc Hönig, Volker Stopp, Erik Rodner, Kristian Hildebrand:
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification. 399-415 - Martin Colot, Cédric Simar, Mathieu Petieau, Ana-Maria Cebolla Alvarez, Guy Cheron, Gianluca Bontempi:
EMG Subspace Alignment and Visualization for Cross-Subject Hand Gesture Classification. 416-423 - Natnael Daba, Bruce McIntosh, Abhijit Mahalanobis:
Adapting Classifiers to Changing Class Priors During Deployment. 424-432
AI4M: AI for Manufacturing
- Bappaditya Dey, Anh Tuan Ngo, Sara Sacchi, Victor Blanco, Philippe Leray, Sandip Halder:
Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance. 435-453 - Francesco Stranieri, Fabio Stella:
Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains. 454-469 - Nathalie Paul, Alexander Kister, Thorben Schnellhardt, Maximilian Fetz, Dirk Hecker, Tim Wirtz:
Reinforcement Learning for Segmented Manufacturing. 470-485 - Robbert Verbeke, Lars De Pauw, Fabian Fingerhut, Tom Jacobs, Toon Goedemé, Elena Tsiporkova:
Automatic Tool Wear Inspection by Cascading Sensor and Image Data. 486-501
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