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| Link zu diesem Datensatz | https://d-nb.info/1364450062 |
| Art des Inhalts | Konferenzschrift |
| Titel | Advances in Intelligent Data Analysis XXIII : 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7–9, 2025, Proceedings / edited by Georg Krempl, Kai Puolamäki, Ioanna Miliou |
| Person(en) |
Krempl, Georg (Herausgeber) Puolamäki, Kai (Herausgeber) Miliou, Ioanna (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, XVI, 486 p. 117 illus., 111 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-91397-6 Printed edition:: ISBN: 978-3-031-91399-0 |
| Inhalt | Applications of Data Science -- Credal Knowledge Tracing for Imprecise and Uncertain MCQ -- Development of Models to Quantify Training Load in Outdoor Running using Inertial Sensors -- Estimating the Learning Capacity of Bacterial Metabolic Networks -- Semi-supervised learning with pairwise instance comparisons for medical instance classification -- Local-global Data Augmentation for Contrastive Learning in Static Sign Language Recognition -- SiamCircle: Trajectory Representation Learning in Free Settings -- Synthetic Tabular Data Detection In the Wild -- Assessing the Impact of Graph Structure Learning in Graph Deviation Networks -- Foundations of Data Science -- The When and How of Target Variable Transformations -- Balancing performance and scalability of demand forecasting ML models -- Balancing global importance and source proximity for personalized recommendations using random walk length -- Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data -- BOWSA: a contribution of sensitivity analysis to improve Bayesian optimization for parameter tuning -- Overfitting in Combined Algorithm Selection and Hyperparameter Optimization -- Local Subgroup Discovery on Attributed Network Graphs -- Imposing Constraints in Probabilistic Circuits via Gradient Optimization -- Natural Language Processing -- Improving Next Tokens via Second-Last Predictions with ’Generate and Refine’ -- Detection of Large Language Model Contamination with Tabular Data -- Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM -- Make Literature-Based Discovery Great Again through Reproducible Pipelines -- Extracting information in a low-resource setting: case study on bioinformatics workflows -- Vocabulary Quality in NLP Datasets: An Autoencoder-Based Framework Across Domains and Languages -- Temporal and Streaming Data Expertise Prediction of Tetris Players Using Eye Tracking Information -- Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks -- Bridging Spatial and Temporal Contexts: Sparse Transfer Learning -- Meta-learning and Data Augmentation for Stress Testing Forecasting Models -- Pragmatic Paradigm for Multi-stream Regression -- Two-in-one Models for Event Prediction and Time Series Forecasting. Comparison of Four Deep Learning Approaches to Simulate a Digital Patient under Anesthesia -- An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks -- Performative Drift Resistant Classification using Generative Domain Adversarial Networks -- Explainable and Interpretable Data Science -- Extracting Moore Machines from Transformers using Queries and Counterexamples -- Obtaining Example-Based Explanations from Deep Neural Networks -- Relevance-aware Algorithmic Recourse -- Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines -- A Constrained Declarative Based Approach for Explainable Clustering |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2505030406394.175196106168 DOI: 10.1007/978-3-031-91398-3 |
| URL | https://doi.org/10.1007/978-3-031-91398-3 |
| ISBN/Einband/Preis | 978-3-031-91398-3 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15669 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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