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Band 14276 - 12%

Discovery Science 26th International Conference, DS 2023, Porto, Portugal, October 9–11, 2023, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence
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74,99 € UVP 85,59 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.10.2023

Herausgeber

Albert Bifet + weitere

Verlag

Springer

Seitenzahl

721

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1112 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-45274-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

08.10.2023

Herausgeber

Verlag

Springer

Seitenzahl

721

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1112 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-45274-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: [email protected]

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  • Produktbild: Discovery Science
  • Produktbild: Discovery Science
  • Ensembles of classifiers and quantifiers with data fusion for Quantification Learning.- Exploring the Intricacies of Neural Network Optimization.- Exploring the Reduction of Configuration Spaces of Workflows.- iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression.- Knowledge-Guided Additive Modeling For Supervised Regression.- Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments.- From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter.- GLORIA: A Graph Convolutional Network-based Approach for Review Spam Detection.- Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT.- Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers.- Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss.- Explainable Spatio-Temporal Graph Modeling.- ProbabilisticScoring Lists for Interpretable Machine Learning.- Refining Temporal Visualizations Using the Directional Coherence Loss.- Semantic enrichment of explanations of AI models for healthcare.- Text to Time Series Representations: Towards Interpretable Predictive Models.- Enhancing intra-modal similarity in a cross-modal triplet loss.- Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy.- Extrapolation is Not the Same as Interpolation.- Gene Interactions in Survival Data Analysis: A Data-driven Approach Using Restricted Mean Survival Time and Literature Mining.- Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features.- EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories.- Fairness-aware Mixture of Experts with Interpretability Budgets.- GenFair: A Genetic Fairness-Enhancing Data Generation Framework.- Privacy-Preserving Learning of Random Forests Without Revealing the Trees.- Unlearning Spurious Correlations in Chest X-ray Classification.- Explaining the Chronological Attribution of Greek Papyri Images.- Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes.- Predictive Inference Model of the Physical Environment that emulates Predictive Coding.- Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains.- Which Way to Go - Finding Frequent Trajectories Through Clustering.- Boosting-based Construction of BDDs for Linear Threshold Functions and  Its Application to Verification of Neural Networks.- Interpretable Data Partitioning through Tree-based Clustering Methods.- Jaccard-constrained dense subgraph discovery.- RIMBO - an ontology for model revision databases.- Unsupervised Graph Neural Networks for Source Code Similarity Detection.- A Universal Approach for Post-Correcting Time Series.- Forecasts: Reducing Long-term ErrorsIn Multistep Scenarios.- Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting.- Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes.- Chance and the predictive limit in  basketball (both college and professional).- Exploring Label Correlations for Quantification of ICD Codes.- LGEM+: a first-order logic framework for automated improvement of metabolic network models through abduction.- Predicting age from human lung tissue through multi-modal data integration.- Error Analysis on Industry Data:Using Weak Segment Detection for Local Model Agnostic Prediction Intervals.- HEART: Heterogeneous Log Anomaly Detection using Robust Transformers.- Multi-Kernel Time Series Outlier Detection.- Toward Streamlining the Evaluation of Novelty Detection in Data Streams.