001468563 000__ 05255cam\\22006617i\4500
001468563 001__ 1468563
001468563 003__ OCoLC
001468563 005__ 20230707003257.0
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001468563 008__ 230608s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001468563 019__ $$a1381094651
001468563 020__ $$a9783031341076$$q(electronic bk.)
001468563 020__ $$a3031341074$$q(electronic bk.)
001468563 020__ $$z9783031341069
001468563 0247_ $$a10.1007/978-3-031-34107-6$$2doi
001468563 035__ $$aSP(OCoLC)1381474930
001468563 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001468563 049__ $$aISEA
001468563 050_4 $$aQ334$$b.I35 2023eb
001468563 08204 $$a006.3$$223/eng/20230608
001468563 1112_ $$aIFIP TC12 WG12.5--IFIP Conference on Artificial Intelligence Applications and Innovations$$n(19th :$$d2023 :$$cLéon, Spain)
001468563 24510 $$aArtificial intelligence applications and innovations :$$b19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings.$$nPart II /$$cIlias Maglogiannis, Lazaros Iliadis, John MacIntyre, Manuel Dominguez, editors.
001468563 2463_ $$aAIAI 2023
001468563 264_1 $$aCham :$$bSpringer,$$c2023.
001468563 300__ $$a1 online resource (xxxvii, 582 pages) :$$billustrations (some color).
001468563 336__ $$atext$$btxt$$2rdacontent
001468563 337__ $$acomputer$$bc$$2rdamedia
001468563 338__ $$aonline resource$$bcr$$2rdacarrier
001468563 4901_ $$aIFIP advances in information and communication technology,$$x1868-422X ;$$v676
001468563 500__ $$aIncludes author index.
001468563 504__ $$aReferences -- CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data -- 1 Introduction -- 1.1 Related Work -- 2 The CaTabRa System -- 2.1 General Workflow -- 2.2 Model Training and Hyperparameter Tuning: AutoML -- 2.3 Performance Reports -- 2.4 Model Explanations -- 2.5 Out-of-Distribution Detection -- 2.6 Utilities for Working with Longitudinal Data -- 3 Use-Cases -- 3.1 Use-Case 1: COVID-19 Prediction -- 3.2 Use-Case 2: ICU Mortality Prediction -- 4 Conclusion -- References -- Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices -- 1 Introduction
001468563 5050_ $$aDeep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial) -- Agents/Case Based Reasoning/Sentiment Analysis -- Biomedical - Image Analysis -- CNN - Convolutional Neural Networks YOLO CNN -- Cyber Security/Anomaly Detection -- Explainable AI/Social Impact of AI -- Graph Neural Networks/Constraint Programming -- IoT/Fuzzy Modeling/Augmented Reality -- LEARNING (Active-AutoEncoders-Federated) -- Machine Learning -- Natural Language -- Optimization-Genetic Programming -- Robotics -- Spiking NN -- and Text Mining /Transfer Learning.
001468563 506__ $$aAccess limited to authorized users.
001468563 520__ $$aThis two-volume set of IFIP-AICT 675 and 676 constitutes the refereed proceedings of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14-17, 2023. This event was held in hybrid mode. The 75 regular papers and 17 short papers presented in this two-volume set were carefully reviewed and selected from 185 submissions. The papers cover the following topics: Deep Learning (Reinforcement/Recurrent Gradient Boosting/Adversarial); Agents/Case Based Reasoning/Sentiment Analysis; Biomedical - Image Analysis; CNN - Convolutional Neural Networks YOLO CNN; Cyber Security/Anomaly Detection; Explainable AI/Social Impact of AI; Graph Neural Networks/Constraint Programming; IoT/Fuzzy Modeling/Augmented Reality; LEARNING (Active-AutoEncoders-Federated); Machine Learning; Natural Language; Optimization-Genetic Programming; Robotics; Spiking NN; and Text Mining /Transfer Learning.
001468563 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 8, 2023).
001468563 650_0 $$aArtificial intelligence$$vCongresses.
001468563 655_0 $$aElectronic books.
001468563 7001_ $$aMaglogiannis, Ilias G.,$$eeditor.$$1https://orcid.org/0000-0003-2860-399X
001468563 7001_ $$aIliadis, Lazaros S.,$$eeditor.$$1https://orcid.org/0000-0002-6404-1528
001468563 7001_ $$aMacintyre, John$$c(Computer scientist),$$eeditor.$$0(orcid)0000-0001-8514-9127$$1https://orcid.org/0000-0001-8514-9127
001468563 7001_ $$aDominguez, Manuel,$$eeditor.$$0(orcid)0000-0002-3921-1599$$1https://orcid.org/0000-0002-3921-1599
001468563 77608 $$iPrint version:$$aMaglogiannis, Ilias$$tArtificial Intelligence Applications and Innovations$$dCham : Springer International Publishing AG,c2023$$z9783031341069
001468563 830_0 $$aIFIP advances in information and communication technology ;$$v676.$$x1868-422X
001468563 852__ $$bebk
001468563 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-34107-6$$zOnline Access$$91397441.1
001468563 909CO $$ooai:library.usi.edu:1468563$$pGLOBAL_SET
001468563 980__ $$aBIB
001468563 980__ $$aEBOOK
001468563 982__ $$aEbook
001468563 983__ $$aOnline
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