Pashami Sepideh (103 results)
Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of Ecml Pkdd 2022, Grenoble, France, September 19-23, 2022, Proceedings
Koprinska, Irena (EDT); Mignone, Paolo (EDT); Guidotti, Riccardo (EDT); Jaroszewicz, Szymon (EDT); Fröning, Holger (EDT)
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of Ecml Pkdd 2022, Grenoble, France, September 19-23, 2022, Proceedings
Koprinska, Irena (EDT); Mignone, Paolo (EDT); Guidotti, Riccardo (EDT); Jaroszewicz, Szymon (EDT); Fröning, Holger (EDT)
- Softcover
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of Ecml Pkdd 2022, Grenoble, France, September 19-23, 2022, Proceedings
Koprinska, Irena (EDT); Mignone, Paolo (EDT); Guidotti, Riccardo (EDT); Jaroszewicz, Szymon (EDT); Fröning, Holger (EDT)
- Softcover
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Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part X
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Pasquali, Arian (EDT)
- Softcover
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Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2025
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Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo p…apers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo p…apers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part IX
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Jorge, Alípio M. (EDT)
- Softcover
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- Softcover
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Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo p…apers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of Ecml Pkdd 2022, Grenoble, France, September 19-23, 2022, Proceedings
Koprinska, Irena (EDT); Mignone, Paolo (EDT); Guidotti, Riccardo (EDT); Jaroszewicz, Szymon (EDT); Fröning, Holger (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part X
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Pasquali, Arian (EDT)
- Softcover
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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part IX
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Jorge, Alípio M. (EDT)
- Softcover
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More imagesLanguage: English
Published by Springer International Publishing AG, CH, 2023
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. 1st ed. 2023. This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19-23,…2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following five workshops:Workshop on Data Science for Social Good (SoGood 2022)Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)Workshop on Uplift Modeling (UMOD 2022)Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)Workshop on Mining Data for Financial Application (MIDAS 2022)Workshop on Machine Learning for Cybersecurity (MLCS 2022)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)Workshop on Data Analysis in Life Science (DALS 2022)Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part IX
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Jorge, Alípio M. (EDT)
- Softcover
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Language: English
Published by Springer, 2021
Series: Communications in Computer and Information Science, Book 76 of 78. Book 76 of 78 - Communications in Computer and Information Science
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Published by Springer 2021-01-10, 2021
Series: Communications in Computer and Information Science, Book 76 of 78. Book 76 of 78 - Communications in Computer and Information Science
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Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part X
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Pasquali, Arian (EDT)
- Softcover
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Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part X
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Pasquali, Arian (EDT)
- Softcover
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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track : European Conference, Ecml Pkdd 2025, Porto, Portugal, September 15?19, 2025, Proceedings, Part IX
Dutra, Inês (EDT); Pechenizkiy, Mykola (EDT); Cortez, Paulo (EDT); Pashami, Sepideh (EDT); Jorge, Alípio M. (EDT)
- Softcover
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- Softcover
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Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2025
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Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo p…apers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
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Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 1519, 2025.The 300 full papers presented here, together with 15 demo p…apers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks:The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, .), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social NetworksThe Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
