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001482331 001__ 1482331
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001482331 020__ $$a9783031452758$$q(electronic bk.)
001482331 020__ $$a3031452755$$q(electronic bk.)
001482331 020__ $$z9783031452741
001482331 0247_ $$a10.1007/978-3-031-45275-8$$2doi
001482331 035__ $$aSP(OCoLC)1402285894
001482331 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF
001482331 049__ $$aISEA
001482331 050_4 $$aQ174$$b.I5625 2023
001482331 08204 $$a501$$223/eng/20231012
001482331 1112_ $$aInternational Conference on Discovery Science$$n(26th :$$d2023 :$$cPorto, Portugal)
001482331 24510 $$aDiscovery science :$$b26th international conference, DS 2023, Porto, Portugal, October 9-11, 2023, proceedings /$$cAlbert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu, editors.
001482331 24630 $$aDS 2023
001482331 264_1 $$aCham :$$bSpringer,$$c[2023]
001482331 264_4 $$c©2023
001482331 300__ $$a1 online resource (xxv, 721 pages) :$$billustrations (chiefly color).
001482331 336__ $$atext$$btxt$$2rdacontent
001482331 337__ $$acomputer$$bc$$2rdamedia
001482331 338__ $$aonline resource$$bcr$$2rdacarrier
001482331 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence,$$x2945-9141 ;$$v14276
001482331 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence
001482331 500__ $$aInternational conference proceedings.
001482331 500__ $$aIncludes author index.
001482331 5050_ $$aEnsembles 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 -- Probabilistic Scoring 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 Errors In 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.
001482331 506__ $$aAccess limited to authorized users.
001482331 520__ $$aThis book constitutes the proceedings of the 26th International Conference on Discovery Science, DS 2023, which took place in Porto, Portugal, in October 2023. The 37 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 133 submissions. They were organized in topical sections as follows: Machine learning methods and applications; natural language processing and social media analysis; interpretability and explainability in AI; data analysis and optimization; fairness, privacy and security in AI; control and spatio-temporal modeling; graph theory and network analysis; time series and forecasting; healthcare and biological data analysis; anomaly, outlier and novelty detection.
001482331 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 12, 2023).
001482331 650_6 $$aDécouvertes scientifiques$$vCongrès.
001482331 650_0 $$aScience$$xPhilosophy$$vCongresses.
001482331 650_0 $$aDiscoveries in science$$vCongresses.$$vJuvenile literature$$0(DLC)sh2009123482
001482331 650_0 $$aResearch$$xData processing$$vCongresses.$$0(DLC)sh 85000722
001482331 655_0 $$aElectronic books.
001482331 655_7 $$aproceedings (reports)$$2aat
001482331 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001482331 655_7 $$aConference papers and proceedings.$$2lcgft
001482331 655_7 $$aActes de congrès.$$2rvmgf
001482331 7001_ $$aBifet, Albert,$$eeditor.
001482331 7001_ $$aLorena, Ana Carolina,$$eeditor.
001482331 7001_ $$aRibeiro, Rita P.,$$eeditor.
001482331 7001_ $$aGama, João,$$eeditor.
001482331 7001_ $$aAbreu, Pedro Henriques,$$eeditor.
001482331 830_0 $$aLecture notes in computer science ;$$v14276.
001482331 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.$$x2945-9141
001482331 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001482331 852__ $$bebk
001482331 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-45275-8$$zOnline Access$$91397441.1
001482331 909CO $$ooai:library.usi.edu:1482331$$pGLOBAL_SET
001482331 980__ $$aBIB
001482331 980__ $$aEBOOK
001482331 982__ $$aEbook
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