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| Link zu diesem Datensatz | https://d-nb.info/1355120284 |
| Titel | 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 / edited by Rosa Meo, Fabrizio Silvestri |
| Person(en) |
Meo, Rosa (Herausgeber) Silvestri, Fabrizio (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XXI, 505 p. 138 illus., 109 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-74639-0 Printed edition:: ISBN: 978-3-031-74641-3 |
| Inhalt | -- PharML, Machine Learning for Pharma and Healthcare Applications. -- CORKI: A Correlation-driven Imputation Method for Partial Annotation Scenarios in Multi-Label Clinical Problems. -- Neuro-Symbolic Artificial Intelligence for Patient Monitoring. -- Direct One-to-all Lead Conversion on 12-Lead Electrocardiogram. -- Unveiling Driver Modules in Lung Cancer: A Clustering-Based Gene-Gene Interaction Network Analysis. -- Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. -- Predicting Sepsis Onset with Deep Federated Learning. -- A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients. -- Molecular Fingerprints-based Machine Learning. -- Simplification, Compression, Efficiency and Frugality for Artificial intelligence. -- Neural Networks comprising Sequentially Semiseparable Matrices with one dimensional State Variable are Universal Approximators. -- TinyMetaFed: Efficient Federated Meta-Learning for TinyML. -- On The Potentials of Input Repetition in CNN Networks for Reducing Multiplications. -- The Quest of Finding the Antidote to Sparse Double Descent. -- Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar Data. -- Towards Comparable Knowledge Distillation in Semantic Image Segmentation. -- Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. -- Addressing limitations of TinyML approaches for AI-enabled Ambient Intelligence (Position Paper). -- Leveraging low rank filters for efficient and knowledge-preserving lifelong learning. -- Learning when to observe: A frugal reinforcement learning framework for a high-cost world. -- Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making. -- Exploiting causal knowledge during CATE estimation using tree based metalearners. -- A Parameter-Free Bayesian Framework for Uplift Modeling - Application on Telecom Data. -- A churn prediction dataset from the telecom sector: a new benchmark for uplift modeling. -- 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL) . -- Semi-Supervised Co-Teaching for Monitoring Parkinson's Disease Patients. -- Explainable Artificial Intelligence in Medical Diagnostics: Insights into Alzheimer's Disease. -- Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment. -- Multimodal Sensor Fusion for Daily Living Activities Recognition in Active Assisted Living for Older Adults. -- Modeling and Detecting Urinary Anomalies in Seniors from Data obtained by Unintrusive Sensors. -- Assessing Frailty Using Behavioral and Physical Health Data in Everyday Living Settings. -- Synthesizing Diabetic Foot Ulcer Images with Diffusion Model. -- Engaging Older Adults at Meal-time through AI-empowered Socially Assistive Robots. -- Investigating the Dynamics of Cardio-metabolic Comorbidities and their Interactions in Ageing Adults through Dynamic Bayesian Networks. -- Adapting to Change: Reliable Multimodal Learning Across Domains. -- Harnessing Error Patterns to Estimate Out-Of-Distribution Performance. -- HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues. -- CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification. -- EMG subspace alignment and visualization for cross-subject hand gesture classification. -- Adapting Classifiers To Changing Class Priors During Deployment. -- AI4M: AI for Manufacturing. -- Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance. -- Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains. -- Reinforcement Learning for Segmented Manufacturing. -- Automatic tool wear inspection by cascading sensor and image data |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2502031513038.754482286365 DOI: 10.1007/978-3-031-74640-6 |
| URL | https://doi.org/10.1007/978-3-031-74640-6 |
| ISBN/Einband/Preis | 978-3-031-74640-6 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Communications in Computer and Information Science ; 2136 |
| DDC-Notation | 006.31 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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