LEADER 03847nam 22006855 450 001 996547960003316 005 20230803200459.0 010 $a3-031-39144-6 024 7 $a10.1007/978-3-031-39144-6 035 $a(MiAaPQ)EBC30674581 035 $a(CKB)27922742600041 035 $a(Au-PeEL)EBL30674581 035 $a(DE-He213)978-3-031-39144-6 035 $a(PPN)272262331 035 $a(EXLCZ)9927922742600041 100 $a20230803d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Machine Learning$b[electronic resource] $e34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7?9, 2022, Revised Selected Papers /$fedited by Toon Calders, Celine Vens, Jefrey Lijffijt, Bart Goethals 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (190 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1805 311 $a9783031391439 327 $aExplainable Misinformation Detection from Text: A Critical Look -- Explaining Two Strange Learning Curves -- Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM! -- Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming -- A view on model misspecification in uncertainty quantification -- A Comparative Study of Sentence Embeddings for Unsupervised Extractive Multi-Document Summarization -- On-Device Deep Learning Location Category Inference Model -- Specificity and context dependent preferences in argumentation systems -- Model-Based Reinforcement Learning with State Abstraction: A Survey -- Symmetry and Dominance Breaking for Pseudo-Boolean Optimization -- Examining speaker and keyword uniqueness: Partitioning keyword spotting datasets for federated learning with the largest differencing method. 330 $aThis book contains a selection of the best papers of the 34th Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2022, held in Mechelen, Belgium, in November 2022. The 11 papers presented in this volume were carefully reviewed and selected from 134 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1805 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aSocial sciences?Data processing 606 $aEducation?Data processing 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputers and Education 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aSocial sciences?Data processing. 615 0$aEducation?Data processing. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputers and Education. 676 $a006.3 700 $aCalders$b Toon$01383223 701 $aVens$b Celine$01383224 701 $aLijffijt$b Jefrey$01383225 701 $aGoethals$b Bart$0973958 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996547960003316 996 $aArtificial Intelligence and Machine Learning$93427796 997 $aUNISA