E-Book, Englisch, Band 14113, 306 Seiten, eBook
15th International Conference, FQAS 2023, Mallorca, Spain, September 5–7, 2023, Proceedings
E-Book, Englisch, Band 14113, 306 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-42935-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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 regulationMethodology 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.-