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[null,null,"Titolo",null,"Advances in Intelligent Data Analysis XIX : 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings / / edited by Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-74251-2"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xvi, 454 pages)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 12695"]
[null,null,"Disciplina",null,"006.4"]
[null,null,"Soggetti",null,"Database management"]
[{"$nulls":4},"Social sciences - Data processing"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Computer Application in Social and Behavioral Sciences"]
[{"$nulls":4},"Design and Analysis of Algorithms"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[{"$nulls":4},"Estadística matemàtica"]
[{"$nulls":4},"Processament de dades"]
[{"$nulls":4},"Congressos"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Modeling with Neural Networks -- Hyperspherical Weight Uncertainty in Neural Networks -- Partially Monotonic Learning for Neural Networks -- Multiple-Manifold Generation with an Ensemble GAN and Learned Noise Prior -- Simple, Efficient and Convenient Decentralized Multi-Task Learning for Neural Networks -- Deep Hybrid Neural Networks with Improved Weighted Word Embeddings for Sentiment Analysis -- Explaining Neural Networks by Decoding Layer Activations -- Analogical Embedding for Analogy-based Learning to Rank -- HORUS-"]
[{"$nulls":4},"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-freeBayesian 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."]
[null,null,null,"Sommario/riassunto","This 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."]