Advances in Artificial Intelligence : Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2021) / / edited by Yasufumi Takama, Naohiro Matsumura, Katsutoshi Yada, Mitsunori Matsushita, Daisuke Katagami, Akinori Abe, Hisashi Kashima, Toshihiro Hiraoka, Takahiro Uchiya, Rafal Rzepka |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (236 pages) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
ISBN | 3-030-96451-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910548169703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Artificial Intelligence : Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2019) / / edited by Yukio Ohsawa, Katsutoshi Yada, Takayuki Ito, Yasufumi Takama, Eri Sato-Shimokawara, Akinori Abe, Junichiro Mori, Naohiro Matsumura |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (307 pages) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
ISBN | 3-030-39878-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910483498103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data mining for service / / Katsutoshi Yada, editor |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Heidelberg, Germany : , : Springer, , 2014 |
Descrizione fisica | 1 online resource (viii, 291 pages) : illustrations (some color) |
Disciplina | 006.312 |
Collana | Studies in Big Data |
Soggetto topico | Data mining |
ISBN | 3-642-45252-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I Fundamental Technologies Supporting Service Science -- Part II Knowledge Discovery from Text -- Part III Approach for New Services in Social Media -- Part IV Data Mining Spreading into Various Service Fields. |
Record Nr. | UNINA-9910299717203321 |
Heidelberg, Germany : , : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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New Frontiers in Artificial Intelligence [[electronic resource] ] : JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12–17, 2022, Revised Selected Papers / / edited by Yasufumi Takama, Katsutoshi Yada, Ken Satoh, Sachiyo Arai |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (XII, 284 p. 151 illus., 78 illus. in color.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computer science Data structures (Computer science) Information theory Database management Image processing—Digital techniques Computer vision Artificial Intelligence Theory of Computation Data Structures and Information Theory Database Management System Computer Imaging, Vision, Pattern Recognition and Graphics |
ISBN | 3-031-29168-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | JURISIN 2022 -- Differential-aware Transformer for Partially Amended Sentence Translation -- On Complexity and Generality of Contrary Prioritized Defeasible Theory -- Mapping Similar Provisions between Japanese and Foreign Laws -- COLIEE 2022 Summary: Methods for Legal Document Retrieval and Entailment -- JNLP team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022 -- Semantic-based Classification of Relevant Case Law -- nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models -- HUKB at the COLIEE 2022 Statute Law Task -- Using Textbook Knowledge for Statute Retrieval and Entailment Classification -- Legal Textual Entailment using Ensemble of Rule-based and BERT-based method with Data Augmentation by Related Article Generation -- Less is Better: Constructing Legal Question Answering System by Weighing Longest Common Subsequence of Disjunctive Union Text -- JSAI 2022 International Session -- Proposal for Turning Point Detection Method using Financial Text and Transformer -- Product Portfolio Optimization for LTV Maximization -- An Examination of Eating Experiences in Relation to Psychological States, Loneliness, and Depression Using BERT -- Objective Detection of High-risk Tackle in Rugby by Combination of Pose Estimation and Machine Learning -- Incremental informational value of floorplans for rent price prediction - Applications of modern computer vision techniques in real-estate -- Transaction Prediction by Using Graph Neural Network and Textual Industry Information -- Overfitting Problem in the Approximate Bayesian Computation Method Based on Maxima Weighted Isolation Kernel. |
Record Nr. | UNISA-996525668003316 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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New Frontiers in Artificial Intelligence : JSAI-isAI 2022 Workshop, JURISIN 2022, and JSAI 2022 International Session, Kyoto, Japan, June 12–17, 2022, Revised Selected Papers / / edited by Yasufumi Takama, Katsutoshi Yada, Ken Satoh, Sachiyo Arai |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (XII, 284 p. 151 illus., 78 illus. in color.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computer science Data structures (Computer science) Information theory Database management Image processing—Digital techniques Computer vision Artificial Intelligence Theory of Computation Data Structures and Information Theory Database Management System Computer Imaging, Vision, Pattern Recognition and Graphics |
ISBN | 3-031-29168-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | JURISIN 2022 -- Differential-aware Transformer for Partially Amended Sentence Translation -- On Complexity and Generality of Contrary Prioritized Defeasible Theory -- Mapping Similar Provisions between Japanese and Foreign Laws -- COLIEE 2022 Summary: Methods for Legal Document Retrieval and Entailment -- JNLP team: Deep Learning Approaches for Tackling Long and Ambiguous Legal Documents in COLIEE 2022 -- Semantic-based Classification of Relevant Case Law -- nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models -- HUKB at the COLIEE 2022 Statute Law Task -- Using Textbook Knowledge for Statute Retrieval and Entailment Classification -- Legal Textual Entailment using Ensemble of Rule-based and BERT-based method with Data Augmentation by Related Article Generation -- Less is Better: Constructing Legal Question Answering System by Weighing Longest Common Subsequence of Disjunctive Union Text -- JSAI 2022 International Session -- Proposal for Turning Point Detection Method using Financial Text and Transformer -- Product Portfolio Optimization for LTV Maximization -- An Examination of Eating Experiences in Relation to Psychological States, Loneliness, and Depression Using BERT -- Objective Detection of High-risk Tackle in Rugby by Combination of Pose Estimation and Machine Learning -- Incremental informational value of floorplans for rent price prediction - Applications of modern computer vision techniques in real-estate -- Transaction Prediction by Using Graph Neural Network and Textual Industry Information -- Overfitting Problem in the Approximate Bayesian Computation Method Based on Maxima Weighted Isolation Kernel. |
Record Nr. | UNINA-9910686476303321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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