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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September ... in Computer and Information Science) - Softcover
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The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.
The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:
Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society;
Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 – 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;
Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns;
Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing;
Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning.
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ISBN 10: 3031746295
ISBN 13: 9783031746291
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society;Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 - 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns;Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing;Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 528 pp. Englisch. Bestandsnummer des Verkäufers 9783031746291
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Verlag:
Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10: 3031746295
ISBN 13: 9783031746291
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial;BIAS 2023 - 3rd Workshop on Bias and Fairness in AI;Biased Data in Conversational Agents;Explainable Artificial Intelligence: From Static to Dynamic;ML, Law and Society;Part II:RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education;SoGood 2023 - 8th Workshop on Data Science for Social Good;Towards Hybrid Human-Machine Learning and Decision Making (HLDM);Uncertainty meets explainability in machine learning;Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III:XAI-TS: Explainable AI for Time Series: Advances and Applications;XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining;Deep Learning for Sustainable Precision Agriculture;Knowledge Guided Machine Learning;MACLEAN: MAChine Learning for EArth ObservatioN;MLG: Mining and Learning with Graphs;Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences;New Frontiers in Mining Complex Patterns;Part IV:PharML, Machine Learning for Pharma and Healthcare Applications;Simplification, Compression, Efficiency and Frugality for Artificial intelligence;Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making;6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL);Adapting to Change: Reliable Multimodal Learning Across Domains;AI4M: AI for Manufacturing;Part V:Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications;Deep learning meets Neuromorphic Hardware;Discovery challenge;ITEM: IoT, Edge, and Mobile for Embedded Machine Learning;LIMBO - LearnIng and Mining for BlOckchains;Machine Learning for Cybersecurity (MLCS 2023);MIDAS - The 8th Workshop on MIning DAta for financial applicationS;Workshop on Advancements in Federated Learning. 508 pp. Englisch. Bestandsnummer des Verkäufers 9783031746291
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part I
Verlag:
Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031746295
ISBN 13: 9783031746291
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial;BIAS 2023 - 3rd Workshop on Bias and Fairness in AI;Biased Data in Conversational Agents;Explainable Artificial Intelligence: From Static to Dynamic;ML, Law and Society;Part II:RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education;SoGood 2023 - 8th Workshop on Data Science for Social Good;Towards Hybrid Human-Machine Learning and Decision Making (HLDM);Uncertainty meets explainability in machine learning;Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation;Part III:XAI-TS: Explainable AI for Time Series: Advances and Applications;XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining;Deep Learning for Sustainable Precision Agriculture;Knowledge Guided Machine Learning;MACLEAN: MAChine Learning for EArth ObservatioN;MLG: Mining and Learning with Graphs;Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences;New Frontiers in Mining Complex Patterns;Part IV:PharML, Machine Learning for Pharma and Healthcare Applications;Simplification, Compression, Efficiency and Frugality for Artificial intelligence;Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making;6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL);Adapting to Change: Reliable Multimodal Learning Across Domains;AI4M: AI for Manufacturing;Part V:Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications;Deep learning meets Neuromorphic Hardware;Discovery challenge;ITEM: IoT, Edge, and Mobile for Embedded Machine Learning;LIMBO - LearnIng and Mining for BlOckchains;Machine Learning for Cybersecurity (MLCS 2023);MIDAS - The 8th Workshop on MIning DAta for financial applicationS;Workshop on Advancements in Federated Learning. Bestandsnummer des Verkäufers 9783031746291
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part I
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part I
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part I
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of Ecml Pkdd 2023, Turin, Italy, September 1822, 2023, Revised Selected Papers
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Paperback)
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Springer International Publishing AG, Cham, 2025
ISBN 10: 3031746295
ISBN 13: 9783031746291
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Paperback. Zustand: new. Paperback. The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023.The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks:Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society; Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation; Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns; Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing; Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783031746291
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