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001448775 001__ 1448775
001448775 003__ OCoLC
001448775 005__ 20230310004256.0
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001448775 020__ $$a9783031143434$$q(electronic bk.)
001448775 020__ $$a3031143434$$q(electronic bk.)
001448775 020__ $$z9783031143427
001448775 020__ $$z3031143426
001448775 0247_ $$a10.1007/978-3-031-14343-4$$2doi
001448775 035__ $$aSP(OCoLC)1341297391
001448775 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ
001448775 049__ $$aISEA
001448775 050_4 $$aQA76.9.D3
001448775 08204 $$a005.74$$223/eng/20220817
001448775 1112_ $$aDatabase and Expert Systems Applications Conference$$n(33rd :$$d2022 :$$cVienna, Austria)
001448775 24510 $$aDatabase and expert systems applications - DEXA 2022 workshops :$$b33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, proceedings /$$cGabriele Kotsis [and twelve others] (eds.).
001448775 24630 $$aDEXA 2022
001448775 264_1 $$aCham :$$bSpringer,$$c[2022]
001448775 264_4 $$c©2022
001448775 300__ $$a1 online resource (xvi, 434 pages) :$$billustrations (chiefly color).
001448775 336__ $$atext$$btxt$$2rdacontent
001448775 337__ $$acomputer$$bc$$2rdamedia
001448775 338__ $$aonline resource$$bcr$$2rdacarrier
001448775 4901_ $$aCommunications in computer and information science ;$$v1633
001448775 500__ $$aSelected conference papers.
001448775 500__ $$aIncludes author index.
001448775 5050_ $$aIntro -- Preface -- Organization -- Contents -- AI System Engineering: Math, Modelling and Software -- Unboundedness of Linear Regions of Deep ReLU Neural Networks -- 1 Introduction -- 2 Preliminaries -- 3 Representation and Analysis via Code Space -- 4 Experiments -- 5 Outlook and Future Work -- References -- Applying Time-Inhomogeneous Markov Chains to Math Performance Rating -- 1 Introduction -- 1.1 The Story Behind -- Origins of the Use Case -- 1.2 An Adaptive Mobile App for Math Training -- 2 Ranking Based on the Elo System
001448775 5058_ $$a2.1 Automated Estimation of Skill and Difficulty as a Problem-Solving Match Between Learner and Exercise -- 2.2 Time-inhomogeneous Markov Chains -- 3 Data and Experiment -- 4 Analysis and Results -- 5 Conclusions -- Practical Use of the Ranking System -- References -- A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME -- 1 Introduction -- 1.1 Anomaly Detection Techniques: -- 2 Literature Review -- 3 Methodology -- 3.1 Data -- 3.2 Model Description -- 3.3 Test Description -- 4 Results -- 4.1 Performance Comparison -- 5 Conclusion -- References
001448775 5058_ $$aA Comparative Study Between Rule-Based and Transformer-Based Election Prediction Approaches: 2020 US Presidential Election as a Use Case -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Pre-processing and Filtering -- 3.3 Sentiment Analysis -- 3.4 Vote-Share -- 4 Results and Discussion -- 4.1 Sentiment Analysis -- 4.2 Vote-Share -- 5 Conclusion -- References -- Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground -- 1 Introduction -- 2 Related Work -- 2.1 Depth Estimation -- 2.2 Plane Detection
001448775 5058_ $$a3 Extraction of 3D Ground Plane Equation from RGB Images -- 3.1 Depth Estimation -- 3.2 3D Ground Plane Detection -- 4 Experiments and Results -- 4.1 3D Ground Plane Detection from RGB Images (Entire Workflow) -- 4.2 3D Ground Plane Detection from Groundtruth Depth Maps (Intermediate Workflow) -- 4.3 Influence of Bounding Point Selection on Ground Plane Detection -- 5 Conclusion and Outlook -- References -- Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data -- 1 Introduction -- 1.1 The State-of-Art
001448775 5058_ $$a1.2 Requirements for a Practical Secure Privacy-Preserving Machine Learning -- 2 Proposed Methodology -- 3 A Biomedical Application Example -- 4 Concluding Remarks -- References -- Applied Research, Technology Transfer and Knowledge Exchange in Software and Data Science -- Collaborative Aspects of Solving Rail-Track Multi-sensor Data Fusion -- 1 Introduction -- 2 Problem Statement -- 3 Collaborative Problem Solving Approach -- 3.1 Roles and Competences -- 3.2 Collaborative Development of a Calibration Object -- 3.3 Feedback-driven, Iterative Data Recording -- 3.4 Project Results
001448775 506__ $$aAccess limited to authorized users.
001448775 520__ $$aThis volume constitutes the refereed proceedings of the workshops held at the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna, Austria, in August 2022: The 6th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2022); 4th International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2022); 2nd International Workshop on Time Ordered Data (ProTime2022); 2nd International Workshop on AI System Engineering: Math, Modelling and Software (AISys2022); 1st International Workshop on Distributed Ledgers and Related Technologies (DLRT2022); 1st International Workshop on Applied Research, Technology Transfer and Knowledge Exchange in Software and Data Science (ARTE2022). The 40 papers were thoroughly reviewed and selected from 62 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.
001448775 588__ $$aDescription based on print version record.
001448775 650_0 $$aDatabase management$$vCongresses.
001448775 650_0 $$aExpert systems (Computer science)$$vCongresses.
001448775 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001448775 655_7 $$aConference papers and proceedings.$$2lcgft
001448775 655_0 $$aElectronic books.
001448775 7001_ $$aKotsis, Gabriele,$$d1967-$$eeditor.
001448775 77608 $$iPrint version:$$aDatabase and Expert Systems Applications Conference (33rd : 2022 : Vienna, Austria), creator.$$tDatabase and expert systems applications - DEXA 2022 workshops.$$dCham : Springer, 2022$$z9783031143427$$w(OCoLC)1338666971
001448775 830_0 $$aCommunications in computer and information science ;$$v1633.
001448775 852__ $$bebk
001448775 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-14343-4$$zOnline Access$$91397441.1
001448775 909CO $$ooai:library.usi.edu:1448775$$pGLOBAL_SET
001448775 980__ $$aBIB
001448775 980__ $$aEBOOK
001448775 982__ $$aEbook
001448775 983__ $$aOnline
001448775 994__ $$a92$$bISE