LEADER 06067nam 22007695 450 001 9910484642303321 005 20260317163313.0 010 $a3-030-74251-2 024 7 $a10.1007/978-3-030-74251-5 035 $a(CKB)4100000011881072 035 $a(MiAaPQ)EBC6550471 035 $a(Au-PeEL)EBL6550471 035 $a(OCoLC)1246576384 035 $a(PPN)255289502 035 $a(DE-He213)978-3-030-74251-5 035 $a(EXLCZ)994100000011881072 100 $a20210412d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Intelligent Data Analysis XIX $e19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26?28, 2021, Proceedings /$fedited by Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (xvi, 454 pages) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v12695 311 08$a3-030-74250-4 320 $aIncludes bibliographical references and index. 327 $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-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. 330 $aThis book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v12695 606 $aDatabase management 606 $aSocial sciences$xData processing 606 $aAlgorithms 606 $aEducation$xData processing 606 $aNatural language processing (Computer science) 606 $aDatabase Management 606 $aComputer Application in Social and Behavioral Sciences 606 $aDesign and Analysis of Algorithms 606 $aComputers and Education 606 $aNatural Language Processing (NLP) 606 $aEstadística matemàtica$2thub 606 $aProcessament de dades$2thub 608 $aCongressos$2thub 608 $aLlibres electrònics$2thub 615 0$aDatabase management. 615 0$aSocial sciences$xData processing. 615 0$aAlgorithms. 615 0$aEducation$xData processing. 615 0$aNatural language processing (Computer science) 615 14$aDatabase Management. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aDesign and Analysis of Algorithms. 615 24$aComputers and Education. 615 24$aNatural Language Processing (NLP). 615 7$aEstadística matemàtica 615 7$aProcessament de dades 676 $a006.4 702 $aAbreu$b Pedro Henriques 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484642303321 996 $aAdvances in intelligent data analysis XIX$91897576 997 $aUNINA