Mendeley出力
Flexible Query Answering Systems : 15th International Conference, FQAS 2023, Mallorca, Spain, September 5–7, 2023, Proceedings / edited by Henrik Legind Larsen, Maria J. Martin-Bautista, M. Dolores Ruiz, Troels Andreasen, Gloria Bordogna, Guy De Tré
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 14113)
| データ種別 | 電子ブック |
|---|---|
| 版 | 1st ed. 2023. |
| 出版者 | (Cham : Springer Nature Switzerland : Imprint: Springer) |
| 出版年 | 2023 |
| 大きさ | XXI, 306 p. 94 illus., 51 illus. in color : online resource |
| 著者標目 | Larsen, Henrik Legind editor Martin-Bautista, Maria J editor Ruiz, M. Dolores editor Andreasen, Troels editor Bordogna, Gloria editor De Tré, Guy editor SpringerLink (Online service) |
書誌詳細を非表示
| 一般注記 | Flexible Queries over Semantic Systems -- On Reducing Reasoning and Querying in Natural Logic to Database Querying -- Diversifying top-k Answers in a Query by Example Setting -- Flexible Classification, Question-Answering and Retrieval with Siamese -- Neural Networks for Biomedical Texts -- The promise of Query Answering systems in Sexuality: current state, challenges and limitations -- Some Properties of the Left Recursive Form of the Convex Combination Linguistic Aggregator -- Knowledge Graph Enabled Open-Domain Conversational Question Answering -- Advanced methods and applications in Natural Language Processing (NLP) -- Automatic generation of coherent natural language texts -- Interlingual Semantic Validation -- How tasty is this dish? Studying user-recipe interactions with a rating prediction algorithm and Graph Neural Networks -- “Let it BEE”: Natural Language Classification of arthropod specimens based on their Spanish description -- New advances in disinformation detection Bot Detection in Twitter: An overview -- A fuzzy approach to detecting suspected disinformtion in videos -- All trolls have one mission: An entropy analysis of political misinformation spreaders -- A First Evolutionary Fuzzy Approach for Change Mining with Smart Bands -- Federated learning in healthcare with unsupervised and semi-supervised methods -- Exploring hidden anomalies in UGR’16 with Kitsune -- An Orthographic Similarity Measure for Graph-based Text Representations -- Applying AI to Social Science and Social Science to AI -- An unsupervised approach to extracting knowledge from the relationships between blame attribution on Twitter -- “Health is the real wealth”: Unsupervised approach to improve explainability in health-based recommendation systems -- Are textual recommendations enough? Guiding physicians toward the design of machine learning pipelines through a visual platform -- Who is to blame? Responsibility attribution in AI systems vs human agents -- Artificial intelligence law and regulation Methodology for analyzing the risk of algorithmic discrimination from a legal and technical point of view -- Data as wealth, data markets and its regulation -- ADM in the European Union: An interoperable solution.- This book constitutes the refereed proceedings of the 15th International Conference on Flexible Query Answering Systems, FQAS 2023, held in September 2023 in Palma de Mallorca, Spain. The 24 full papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: Flexible Queries over Semantic Systems; Advanced Methods and Applications in Natural Language; Processing (NLP); New Advances in Disinformation Detection; Data and Text Mining; Applying AI to Social Science and Social Science to AI; Artificial Intelligence Law and Regulation HTTP:URL=https://doi.org/10.1007/978-3-031-42935-4 |
|---|---|
| 件 名 | LCSH:Artificial intelligence LCSH:Computer engineering LCSH:Computer networks LCSH:Information technology -- Management 全ての件名で検索 LCSH:Machine theory LCSH:Computer systems FREE:Artificial Intelligence FREE:Computer Engineering and Networks FREE:Computer Application in Administrative Data Processing FREE:Formal Languages and Automata Theory FREE:Computer System Implementation |
| 分 類 | LCC:Q334-342 LCC:TA347.A78 DC23:006.3 |
| 書誌ID | EB00003694 |
| ISBN | 9783031429354 |
類似資料
この資料の利用統計
このページへのアクセス回数：9回
※2019年3月27日以降
全貸出数：0回
(1年以内の貸出：0回)
※2019年3月27日以降