國立高雄大學圖資館 |

Foundations of intelligent systems27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Foundations of intelligent systemsedited by Annalisa Appice ... [et al.].
其他題名:	27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024 : proceedings /
其他題名:	ISMIS 2024
其他作者:	Appice, Annalisa.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xix, 316 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Expert systems (Computer science)
電子資源:	https://doi.org/10.1007/978-3-031-62700-2
ISBN:	9783031627002$q(electronic bk.)

Foundations of intelligent systems27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024 : proceedings /
Foundations of intelligent systems27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024 : proceedings /[electronic resource] :ISMIS 2024edited by Annalisa Appice ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xix, 316 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,146701611-3349 ;. - Lecture notes in computer science ;4891..

Classification and Clustering. -- Improving the robustness to color perturbations of classification and regression models in the visual evaluation of fruits and vegetables. -- Clustering Under Radius Constraints Using Minimum Dominating Sets. -- Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination. -- Neural Network and Natural Language Processing. -- LLMental Classification of mental disorders with large language models. -- CSEPrompts A Benchmark of Introductory Computer Science Prompts. -- Semantically-Informed Domain Adaptation for Named Entity Recognition. -- Token Pruning by Dimensionality Reduction Methods on TCT Colbert for Reranking. -- AI Tools and Models. -- Exploiting microRNA expression data for the diagnosis of disease conditions and the discovery of novel biomarkers. -- HERSE: Handling and Enhancing RDF Summarization through blank node Elimination. -- Rough Sets For a Neuromorphic CMOS System. -- Neural Network and Data Mining. -- Erasing the Shadow Sanitization of Images with Malicious Payloads using Deep Autoencoders. -- Digilog Enhancing Website Embedding on Local Governments - A Comparative Analysis. -- A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. -- Explainability in AI. -- Enhancing temporal Transformers for financial time series via local surrogate interpretability. -- Explaining commonalities of clusters of RDF resources in natural language. -- Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM) -- Industry Session. -- ScoredKNN: An Efficient KNN Recommender based on Dimensionality Reduction for Big Data. -- Siamese Networks for Unsupervised Failure Detection in Smart Industry. -- Adaptive Forecasting of Extreme Electricity Load. -- Explaining Voltage Control Decisions: A Scenario-Based Approach in Deep Reinforcement Learning. -- Knowledge Graphs for Data Integration in Retail. -- Learning with Complex Data. -- Bayesian Approach for Parameter Estimation in Vehicle Lateral Dynamics. -- Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios. -- SPLindex A Spatial Polygon Learned Index. -- Recommendation Systems and Prediction. -- Action Rules Discovery Leveraging Attributes Correlation Based Vertical Partitioning. -- HalpernSGD A Halpern-inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint. -- Integrating Predictive Process Monitoring Techniques in Smart Agriculture.

This book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMIS 2024, held in Poitiers, France, in June 2024. The 18 full papers, 6 short papers and 5 industrial papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in the following topical sections: Classification and Clustering; Neural Network and Natural Language Processing; AI tools and Models; Neural Network and Data Mining; Explainability in AI; Industry Session; Learning with Complex Data; Recommendation Systems and Prediction.

ISBN: 9783031627002$q(electronic bk.)

Standard No.: 10.1007/978-3-031-62700-2doiSubjects--Topical Terms:

182450
Expert systems (Computer science)

LC Class. No.: QA76.76.E95

Dewey Class. No.: 006.3

Foundations of intelligent systems27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024 : proceedings /
LDR:04334nmm a2200361 a 4500 001 658140
003 DE-He213
005 20240617125243.0
006 m d
007 cr nn 008maaau
008 240923s2024 sz s 0 eng d
020 $a 9783031627002$q(electronic bk.)
020 $a 9783031626999$q(paper)
024 7 $a 10.1007/978-3-031-62700-2 $2 doi
035 $a 978-3-031-62700-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.E95
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a QA76.76.E95 $b I61 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Foundations of intelligent systems $h [electronic resource] : $b 27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024 : proceedings / $c edited by Annalisa Appice ... [et al.].
246 3 $a ISMIS 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xix, 316 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 14670
490 1 $a Lecture notes in artificial intelligence
505 0 $a Classification and Clustering. -- Improving the robustness to color perturbations of classification and regression models in the visual evaluation of fruits and vegetables. -- Clustering Under Radius Constraints Using Minimum Dominating Sets. -- Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination. -- Neural Network and Natural Language Processing. -- LLMental Classification of mental disorders with large language models. -- CSEPrompts A Benchmark of Introductory Computer Science Prompts. -- Semantically-Informed Domain Adaptation for Named Entity Recognition. -- Token Pruning by Dimensionality Reduction Methods on TCT Colbert for Reranking. -- AI Tools and Models. -- Exploiting microRNA expression data for the diagnosis of disease conditions and the discovery of novel biomarkers. -- HERSE: Handling and Enhancing RDF Summarization through blank node Elimination. -- Rough Sets For a Neuromorphic CMOS System. -- Neural Network and Data Mining. -- Erasing the Shadow Sanitization of Images with Malicious Payloads using Deep Autoencoders. -- Digilog Enhancing Website Embedding on Local Governments - A Comparative Analysis. -- A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. -- Explainability in AI. -- Enhancing temporal Transformers for financial time series via local surrogate interpretability. -- Explaining commonalities of clusters of RDF resources in natural language. -- Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM) -- Industry Session. -- ScoredKNN: An Efficient KNN Recommender based on Dimensionality Reduction for Big Data. -- Siamese Networks for Unsupervised Failure Detection in Smart Industry. -- Adaptive Forecasting of Extreme Electricity Load. -- Explaining Voltage Control Decisions: A Scenario-Based Approach in Deep Reinforcement Learning. -- Knowledge Graphs for Data Integration in Retail. -- Learning with Complex Data. -- Bayesian Approach for Parameter Estimation in Vehicle Lateral Dynamics. -- Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios. -- SPLindex A Spatial Polygon Learned Index. -- Recommendation Systems and Prediction. -- Action Rules Discovery Leveraging Attributes Correlation Based Vertical Partitioning. -- HalpernSGD A Halpern-inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint. -- Integrating Predictive Process Monitoring Techniques in Smart Agriculture.
520 $a This book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMIS 2024, held in Poitiers, France, in June 2024. The 18 full papers, 6 short papers and 5 industrial papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in the following topical sections: Classification and Clustering; Neural Network and Natural Language Processing; AI tools and Models; Neural Network and Data Mining; Explainability in AI; Industry Session; Learning with Complex Data; Recommendation Systems and Prediction.
650 0 $a Expert systems (Computer science) $3 182450
650 0 $a Intelligent agents (Computer software) $3 200777
650 0 $a Artificial intelligence $3 252958
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer and Information Systems Applications. $3 913125
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 913134
650 2 4 $a Computer Vision. $3 913138
700 1 $a Appice, Annalisa. $3 675169
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Lecture notes in artificial intelligence. $3 822012
856 4 0 $u https://doi.org/10.1007/978-3-031-62700-2
950 $a Computer Science (SpringerNature-11645)