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_aFoundations of Intelligent Systems _h[electronic resource] : _b27th International Symposium, ISMIS 2024, Poitiers, France, June 17–19, 2024, Proceedings / _cedited by Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali, Zbigniew Ras. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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| 300 |
_aXIX, 316 p. 80 illus., 61 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14670 |
|
| 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 | _aThis 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 |
_aArtificial intelligence. _958441 |
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| 650 | 0 | _aApplication software. | |
| 650 | 0 |
_aData mining. _96941 |
|
| 650 | 0 |
_aSocial sciences _xData processing. _965741 |
|
| 650 | 0 | _aComputer vision. | |
| 650 | 1 | 4 |
_aArtificial Intelligence. _958441 |
| 650 | 2 | 4 | _aComputer and Information Systems Applications. |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 |
_aComputer Application in Social and Behavioral Sciences. _965743 |
| 650 | 2 | 4 | _aComputer Vision. |
| 700 | 1 |
_aAppice, Annalisa. _eeditor. _0(orcid)0000-0001-9840-844X _1https://orcid.org/0000-0001-9840-844X _4edt _4http://id.loc.gov/vocabulary/relators/edt _978785 |
|
| 700 | 1 |
_aAzzag, Hanane. _eeditor. _0(orcid)0000-0001-6876-0688 _1https://orcid.org/0000-0001-6876-0688 _4edt _4http://id.loc.gov/vocabulary/relators/edt _978786 |
|
| 700 | 1 |
_aHacid, Mohand-Said. _eeditor. _0(orcid)0000-0002-9591-9591 _1https://orcid.org/0000-0002-9591-9591 _4edt _4http://id.loc.gov/vocabulary/relators/edt _978787 |
|
| 700 | 1 |
_aHadjali, Allel. _eeditor. _0(orcid)0000-0002-4452-1647 _1https://orcid.org/0000-0002-4452-1647 _4edt _4http://id.loc.gov/vocabulary/relators/edt _978788 |
|
| 700 | 1 |
_aRas, Zbigniew. _eeditor. _0(orcid)0000-0002-8619-914X _1https://orcid.org/0000-0002-8619-914X _4edt _4http://id.loc.gov/vocabulary/relators/edt _978789 |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783031626999 |
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_iPrinted edition: _z9783031627019 |
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_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14670 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-62700-2 |
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