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_a10.1007/978-3-030-74251-5 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA76.9.D3 _b2021 EB |
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_aAdvances in Intelligent Data Analysis XIX : _b19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings _cedited by Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publising _c2021 |
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_a1 recurso en línea (XVI, 454 páginas) _b138 ilustraciones, 107 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF _2rda |
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_aInformation Systems and Applications incl. Internet/Web and HCI _v12695 |
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| 505 | 0 | _aModeling with Neural Networks -- Hyperspherical Weight Uncertainty in Neural Networks -- Partially Monotonic Learning for Neural Networks -- Multiple-Manifold Generation with an Ensemble GAN and Learned Noise Prior -- Simple, Efficient and Convenient Decentralized Multi-Task Learning for Neural Networks -- Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis -- Explaining Neural Networks by Decoding Layer Activations -- Analogical Embedding for Analogy-based Learning to Rank -- HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data -- Modeling with Statistical Learning -- Incremental Search Space Construction for Machine Learning Pipeline Synthesis -- Adversarial Vulnerability of Active Transfer Learning -- Revisiting Non-Specific Syndromic Surveillance -- Gradient Ascent for Best Response Regression -- Intelligent Structural Damage Detection: a Federated Learning Approach -- Composite surrogate for likelihood-free Bayesian optimisation in high-dimensional settings of activity-based transportation models -- Active Selection of Classification Features -- Feature Selection for Hierarchical Multi-Label Classification -- Bandit Algorithm for Both Unknown Best Position and Best Item Display on Web Pages -- Performance prediction for hardware-software configurations: A case study for video games -- avatar | Automated Feature Wrangling for Machine Learning -- Modeling Language and Graphs -- Semantically Enriching Embeddings of Highly In ectable Verbs for Improving Intent Detection in a Romanian Home Assistant Scenario -- BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis -- Linking the Dynamics of User Stance to the Structure of Online Discussions -- Unsupervised Methods for the Study of Transformer Embeddings -- A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces -- DeepGG: a Deep Graph Generator -- SINr: fast computing of Sparse Interpretable Node Representations is not a sin -- Detection of contextual anomalies in attributed graphs -- Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware -- Modeling Special Data Formats -- Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules -- Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots -- muppets: Multipurpose Table Segmentation -- SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints -- RTL: A Robust Time Series Labeling Algorithm -- The Compromise of Data Privacy in Predictive Performance -- Efficient Privacy Preserving Distributed K-Means for Non-IID Data. | |
| 520 | 3 | _aThis book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _9150569 _aSistemas de gestión de bases de datos _vCongresos y asambleas |
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| 700 | 1 |
_aAbreu, Pedro Henriques _eeditor literario _0(orcid)0000-0002-9278-8194 _1https://orcid.org/0000-0002-9278-8194 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aRodrigues, Pedro Pereira _eeditor literario _0(orcid)0000-0001-7867-6682 _1https://orcid.org/0000-0001-7867-6682 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aFernández, Alberto _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aGama, João _eeditor literario _0(orcid)0000-0003-3357-1195 _1https://orcid.org/0000-0003-3357-1195 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink | |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-74251-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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