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  1. From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries
    24th International Conference on Asian Digital Libraries, ICADL 2022, Hanoi, Vietnam, November 30 - December 2, 2022, Proceedings
    Beteiligt: Katsurai, Marie (HerausgeberIn); Nguyen, Hoa N. (HerausgeberIn); Tseng, Yuen-Hsien (HerausgeberIn)
    Erschienen: 2023
    Verlag:  Springer International Publishing AG, Cham

    This book constitutes the refereed proceedings of the 24th International Conference on Asia-Pacific Digital Libraries, ICADL 2022, which was held in November/December 2022.The 14 full, 18 short, and 12 poster papers presented in this volume were... mehr

     

    This book constitutes the refereed proceedings of the 24th International Conference on Asia-Pacific Digital Libraries, ICADL 2022, which was held in November/December 2022.The 14 full, 18 short, and 12 poster papers presented in this volume were carefully reviewed and selected from 78 submissions. Based on significant contributions, the full and short papers have been classified into the following topics: intelligent document analysis; neural-based knowledge extraction; knowledge discovery for enhancing collaboration; smart search and annotation; cultural data collection and analysis; scholarly data processing; data archive and management; research activities and digital library; and trends in digital library

     
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    Beteiligt: Katsurai, Marie (HerausgeberIn); Nguyen, Hoa N. (HerausgeberIn); Tseng, Yuen-Hsien (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031217555
    Auflage/Ausgabe: 1st ed. 2022
    Schriftenreihe: Lecture Notes in Computer Science
    Schlagworte: Angewandte Informatik; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Social Aspects / Human-Computer Interaction; COMPUTERS / User Interfaces; Data Warehousing; Information retrieval; Information technology: general issues; Informationsrückgewinnung, Information Retrieval; Informationstechnik (IT), allgemeine Themen; Künstliche Intelligenz; Mensch-Computer-Interaktion; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; User interface design & usability
    Umfang: 524 Seiten
    Bemerkung(en):

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Intelligent document analysis.- Neural-based knowledge extraction.- Knowledge discovery for enhancing collaboration.- Smart search and annotation.- Cultural data collection and analysis.- Scholarly data processing.- Data archive and management.- Research activities and digital library.- Trends in digital library.
  2. Truth and fake in the post-factual digital age
    distinctions in the humanities and IT sciences
    Beteiligt: Klimczak, Peter (HerausgeberIn); Zoglauer, Thomas (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Wiesbaden

    The increase in fake news, the growing influence on elections, increasing false reports and targeted disinformation campaigns are not least a consequence of advancing digitalisation. Information technology is needed to put a stop to these undesirable... mehr

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    The increase in fake news, the growing influence on elections, increasing false reports and targeted disinformation campaigns are not least a consequence of advancing digitalisation. Information technology is needed to put a stop to these undesirable developments. With intelligent algorithms and refined data analysis, fakes must be detected more quickly in the future and their spread prevented. However, in order to meaningfully recognize and filter fakes by means of artificial intelligence, it must be possible to distinguish fakes from facts, facts from fictions, and fictions from fakes. This book therefore also asks questions about the distinctions of fake, factual and fictional. The underlying theories of truth are discussed, and practical-technical ways of differentiating truth from falsity are outlined. By considering the fictional as well as the assumption that information-technical further development can profit from humanities knowledge, the authors hope that content-related, technical and methodological challenges of the present and future can be overcome

     
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    Beteiligt: Klimczak, Peter (HerausgeberIn); Zoglauer, Thomas (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783658404055; 3658404051
    Weitere Identifier:
    9783658404055
    Schlagworte: Angewandte Informatik; COMPUTERS / Data Processing / General; COMPUTERS / Hardware / General; COMPUTERS / Networking / General; COMPUTERS / Social Aspects / General; Computer hardware; Computer networking & communications; Computerhardware; Digital- und Informationstechnologien: soziale und ethische Aspekte; Ethical & social aspects of IT
    Umfang: xvi, 166 Seiten, Illustrationen, Diagramme, 24 cm x 16.8 cm
    Bemerkung(en):

    Literaturangaben
  3. Computational linguistics and intelligent text processing
    Part 1
    Beteiligt: Gelbukh, Alexander (HerausgeberIn)
    Erschienen: [2023]
    Verlag:  Springer, Cham

    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected... mehr

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    The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others.The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining

     
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    Beteiligt: Gelbukh, Alexander (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031237928
    Übergeordneter Titel: Computational linguistics and intelligent text processing - Alle Bände anzeigen
    Körperschaften/Kongresse: International Conference on Computational Linguistics and Intelligent Text Processing, 19. (2018, Hanoi)
    Schriftenreihe: Lecture notes in computer science ; 13396
    Schlagworte: Angewandte Informatik; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / General; COMPUTERS / Information Technology; COMPUTERS / Information Theory; Coding theory & cryptology; Computational linguistics; Computerlinguistik und Korpuslinguistik; Databases; Datenbanken; Information retrieval; Informationstheorie; Kodierungstheorie und Verschlüsselung (Kryptologie); LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Umfang: xviii, 431 Seiten, Illustrationen
    Bemerkung(en):

    Author profiling and authorship attribution, social network analysis.- Information retrieval, information extraction.- Lexical resources.- Best Paper Award, Third Place.- Machine translation.- Morphology, Syntax.- Best Paper Award, Second Place.- Semantics and text similarity.- Sentiment analysis.- Syntax and parsing.- Text categorization and clustering.- Best Paper Award, First Place.- Text generation.- Text mining.
  4. Requirements Engineering: Foundation for Software Quality
    29th International Working Conference, REFSQ 2023, Barcelona, Spain, April 17-20, 2023, Proceedings
    Beteiligt: Ferrari, Alessio (HerausgeberIn); Penzenstadler, Birgit (HerausgeberIn)
    Erschienen: 2023
    Verlag:  Springer International Publishing AG, Cham

    This book constitutes the refereed proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, which took place in Barcelona, Spain, during April 17-20, 2023. The 12 full... mehr

     

    This book constitutes the refereed proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, which took place in Barcelona, Spain, during April 17-20, 2023. The 12 full technical design and scientific evaluation papers, 8 short research previews and vision papers, and 5 experience reports presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: Requirements communication and conceptualization; NLP and machine learning for AI; RE for artificial intelligence; crowd RE; and RE in practice

     
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    Quelle: Verbundkataloge
    Beteiligt: Ferrari, Alessio (HerausgeberIn); Penzenstadler, Birgit (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031297854
    Auflage/Ausgabe: 1st ed. 2023
    Schriftenreihe: Lecture Notes in Computer Science
    Schlagworte: Angewandte Informatik; COM094000; COMPUTERS / Computer Science; COMPUTERS / Natural Language Processing; COMPUTERS / Programming / Software Development; EDU029090; EDUCATION / Computers & Technology; Educational equipment & technology, computer-aided learning (CAL); Information technology: general issues; Lehrmittel, Lerntechnologien, E-Learning; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Software Engineering; Software Engineering
    Umfang: 368 Seiten
    Bemerkung(en):

    Requirements Communication and Conceptualization.- Requirements Engineering Issues Experienced by Software Practitioners: A Study on Stack Exchange.- An Empirical Study of the Intuitive Understanding of a Formal Pattern Language.- Supporting Shared Understanding in Asynchronous Communication Contexts.- Bringing Stakeholders Along for the Ride: Towards Supporting Intentional Decisions in Software Evolution.- Understanding the Role of Human-Related Factors in Security Requirements Elicitation.- Scope Determined (D) and Scope Determining (G) Requirements: A New Categorization of Functional Requirements.- NLP and Machine Learning for AI Using Language Models for Enhancing the Completeness of Natural-language Requirements.- Requirement or not, that is the question: A case from the railway industry 97.- Summarization of Elicitation Conversations to Locate Requirements Relevant Information.- Ontology-based Automatic Reasoning and NLP for Tracing Software Requirements into Models with the OntoTrace Tool.- Requirements classi cation using fastText and BETO in Spanish documents.- RE for Artificial Intelligence.- Exploring Requirements for Software that Learns: A Research Preview.- Requirements Engineering for Automotive Perception Systems: an Interview Study.- An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications.- A Requirements Engineering Perspective to AI-based Systems Development: A Vision Paper.- Out-of-Distribution detection as Support for Autonomous Driving Safety Lifecycle.- Crowd RE.- Automatically Classifying Kano Model Factors in App Reviews.- Data-driven Persona Creation, Validation, and Evolution.- Towards a Cross-Country Analysis of Software-related Tweets.- Integrating Implicit Feedback into Crowd Requirements Engineering - a Research Preview.- RE in Practice.- Authoring, Analyzing, and Monitoring Requirements for a Lift-Plus-Cruise Aircraft.- Knowns and Unknowns: An Experience Report on Discovering Tacit Knowledge of Maritime Surveyors.- Feel It, Code It: Emotional Goal Modelling for Inclusive Design.- A Product Owner's Navigation in Power Imbalance Between Business and IT: An Experience Report.- Eliciting Security Requirements - an Experience Report.
  5. Lesion segmentation in surgical and diagnostic applications
    MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, held in conjunction with MICCAI 2022, Singapore, September 18-22, 2022 : proceedings
    Beteiligt: Xiao, Yiming (HerausgeberIn); Yang, Guanyu (HerausgeberIn); Song, Shuang (HerausgeberIn)
    Erschienen: [2023]
    Verlag:  Springer, Cham

    This book constitutes three challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022. The peer-reviewed... mehr

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    This book constitutes three challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022. The peer-reviewed 10 papers included in this volume stem from the following three challenges: Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022) The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022) The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022)

     
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    Beteiligt: Xiao, Yiming (HerausgeberIn); Yang, Guanyu (HerausgeberIn); Song, Shuang (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031273230
    Körperschaften/Kongresse: International Conference on Medical Image Computing and Computer Assisted Intervention, 25. (2022, Singapur; Online)
    Schriftenreihe: Array ; 13648
    Schlagworte: Angewandte Informatik; Bildgebende Verfahren; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Programming / Software Development; Computer vision; Machine learning; Maschinelles Lernen; Maschinelles Sehen, Bildverstehen; Medical imaging; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Software Engineering; Software Engineering
    Umfang: xviii, 85 Seiten, Illustrationen
  6. Building and using comparable corpora for multilingual natural language processing
    Autor*in: Sharoff, Serge; Rapp, Reinhard; Zweigenbaum, Pierre
    Erschienen: [2023]
    Verlag:  Springer, Cham, Switzerland

    This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with... mehr

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    This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with a brief history on the topic followed by a comparison to parallel resources and an explanation of why comparable corpora have become more widely used. In particular, they provide the basis for the multilingual capabilities of pre-trained models, such as BERT or GPT. The book then focuses on building comparable corpora, aligning their sentences to create a database of suitable translations, and using these sentence translations to produce dictionaries and term banks. Then, it is explained how comparable corpora can be used to build machine translation engines and to develop a wide variety of multilingual applications

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031313837
    Schriftenreihe: Synthesis lectures on human language technologies
    Schlagworte: Angewandte Informatik; COM094000; COMPUTERS / Computer Science; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Umfang: viii, 133 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Chapter 1 Introduction.- Chapter 2 Basic principles of cross-lingual models.- Chapter 3 Building comparable corpora.- Chapter 4 Extraction of parallel sentences.- Chapter 5 Induction of bilingual Dictionaries.- Chapter 6 Comparable and Parallel Corpora for Machine Translation.- Chapter 7 Other applications of comparable corpora.- Chapter 8 Conclusions and future research.- Index.
  7. Truth and Fake in the Post-Factual Digital Age
    Distinctions in the Humanities and IT Sciences
    Beteiligt: Klimczak, Peter (HerausgeberIn); Zoglauer, Thomas (HerausgeberIn)
    Erschienen: 2023.
    Verlag:  Springer Fachmedien Wiesbaden, Wiesbaden ; Imprint: Springer

    Introduction -- Truth Relativism, Scientific Skepticism and the Political Consequences -- Of Fakes and Frauds: Can Scientific "Hoaxes" Be a Legitimate Tool of Knowledge? -- Fiction, Fake and Fact -- Stranger than Fiction -- The Marxist-Leninist... mehr

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    Introduction -- Truth Relativism, Scientific Skepticism and the Political Consequences -- Of Fakes and Frauds: Can Scientific "Hoaxes" Be a Legitimate Tool of Knowledge? -- Fiction, Fake and Fact -- Stranger than Fiction -- The Marxist-Leninist Definition of Fascism and the Building of the Wall -- Caution: Possible "Fake News" - A Technical Approach to Early Detection -- Countering Fake News Technically - Detection and Treatment Approaches to Support Users -- NewsDeps: Visualizing the Origin of Information in News Articles. The increase in fake news, the growing influence on elections, increasing false reports and targeted disinformation campaigns are not least a consequence of advancing digitalisation. Information technology is needed to put a stop to these undesirable developments. With intelligent algorithms and refined data analysis, fakes must be detected more quickly in the future and their spread prevented. However, in order to meaningfully recognize and filter fakes by means of artificial intelligence, it must be possible to distinguish fakes from facts, facts from fictions, and fictions from fakes. This book therefore also asks questions about the distinctions of fake, factual and fictional. The underlying theories of truth are discussed, and practical-technical ways of differentiating truth from falsity are outlined. By taking into account the fictional as well as the assumption that information-technical advancements can benefit from humanities knowledge, the authors hope that content-related, technical and methodological challenges of the present and future can be met. Peter Klimczak (Dr. phil. et Dr. rer. nat. habil.) teaches media, cultural and technical sciences as a private lecturer at the Brandenburg University of Technology and conducts research as part of a Feodor Lynen Research Fellowship at the University of Wroclaw. He is the author of numerous publications on the use of artificial languages in media and cultural studies, on digital and social media, and on cognitive systems and artificial intelligence. Thomas Zoglauer (Dr. phil. habil.) teaches philosophy as an adjunct professor at the Brandenburg University of Technology and as a lecturer at the Universities of Freiburg and Stuttgart. He is the author of numerous books on the philosophy of technology, logic and applied ethics. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

     
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  8. Deep learning theory and applications
    4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, proceedings
    Beteiligt: Conte, Donatello (HerausgeberIn); Fred, Ana (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Erschienen: [2023]
    Verlag:  Springer, Cham

    This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly... mehr

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    This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding

     
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    Beteiligt: Conte, Donatello (HerausgeberIn); Fred, Ana (HerausgeberIn); Gusikhin, Oleg (HerausgeberIn); Sansone, Carlo (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031390586
    Körperschaften/Kongresse: DeLTA, 4. (2023, Rom)
    Schriftenreihe: Communications in computer and information science ; 1875
    Schlagworte: Angewandte Informatik; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Database Management / Data Mining; COMPUTERS / Social Aspects / Human-Computer Interaction; Data Mining; Data mining; Information technology: general issues; Informationstechnik (IT), allgemeine Themen; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Umfang: xvii, 482 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Pervasive AI: (deep) Learning into the Wild.- Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies.- Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost.- Improving Primate Sounds Classification Using Binary Presorting for Deep Learning.- Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes.- Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach.- A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection.- An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven.- Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight.- Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition.- Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch.- A Study of Neural Collapse for Text Classification.- Research Data Reusability with Content-Based Recommender System.- MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos.- A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data.- Explaining Relation Classification Models with Semantic Extents.- Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts.- Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions.- ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP.- Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language.- Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models.- Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels.- TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity.- Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application.- An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning.- UMLDesigner: An Automatic UML Diagram Design Tool.- Graph Neural Networks for Circuit Diagram Pattern Generation.- Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets.- A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems.- GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation.- Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes.- FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes.- CSR & Sentiment Analysis: A New Customized Dictionary.
  9. Building and using comparable corpora for multilingual Natural language processing
    Autor*in: Sharoff, Serge; Rapp, Reinhard; Zweigenbaum, Pierre
    Erschienen: [2023]
    Verlag:  Springer International Publishing AG, Cham

    Intro -- Contents -- About the Authors -- 1 Introduction -- 1.1 Rationale for Working with Comparable Corpora -- 1.1.1 Availability of Truly Parallel Data -- 1.1.2 Translationese in Parallel Data -- 1.2 Levels of Comparability -- 1.3 Methodology for... mehr

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    Universitätsbibliothek Leipzig
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    Intro -- Contents -- About the Authors -- 1 Introduction -- 1.1 Rationale for Working with Comparable Corpora -- 1.1.1 Availability of Truly Parallel Data -- 1.1.2 Translationese in Parallel Data -- 1.2 Levels of Comparability -- 1.3 Methodology for Dealing with Comparable Resources -- 2 Basic Principles of Cross-Lingual Models -- [DELETE] -- 2.1 Monolingual VSMs -- 2.2 Cross-Lingual VSMs -- 2.3 Contextual Embeddings -- 3 Building Comparable Corpora -- [DELETE] -- 3.1 Measures for Document Similarity Across Languages -- 3.2 Evaluation Methods and Datasets -- 3.3 Natural Annotation: Building Strongly Comparable Corpora -- 3.4 Low-Hanging Fruit: Building Weakly Comparable Corpora -- 3.5 Large Scale Document Alignment -- 3.5.1 Structural Similarity -- 3.5.2 Lexical Similarity -- 3.6 Comparable Corpora of Unrelated Documents -- 4 Extraction of Parallel Sentences -- [DELETE] -- 4.1 Extraction from Parallel Corpora -- 4.2 Assessing Cross-Lingual Sentence Similarity -- 4.3 Datasets and Evaluation -- 4.4 General Principles -- 4.5 Pre-neural Methods -- 4.6 Supervised Neural Methods -- 4.7 Limitations of Supervised Methods in Low-Resource Settings -- 4.8 Unsupervised Neural Methods -- 5 Induction of Bilingual Dictionaries -- 5.1 Setting the Task -- 5.2 Bilingual Lexicon Induction From Parallel Corpora -- 5.3 Matching Contexts -- 5.4 Geometric Properties of Word Embedding Spaces -- 5.5 Alignment of Word Embeddings -- 5.6 Alignment of Contextual Embeddings -- 5.7 Evaluation -- 5.7.1 Evaluation Experiments for BLI -- 5.7.2 Evaluation on Multilingual Termbanks -- 5.8 The BUCC 2020 Shared Task on Bilingual Dictionary Induction -- 5.8.1 Resources -- 5.8.2 Evaluation -- 5.9 The BUCC 2022 Shared Task on Bilingual Terminology Extraction -- 5.9.1 Specifications of the Task -- 5.9.2 Shared Task Results -- 6 Comparable and Parallel Corpora for Machine Translation.

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783031313844
    Schriftenreihe: Synthesis lectures on human language technologies series
    Schlagworte: Angewandte Informatik; COM094000; COMPUTERS / Computer Science; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Umfang: 1 Online-Ressource (viii, 133 Seiten)
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    Description based on publisher supplied metadata and other sources
  10. Linking theory and practice of digital libraries
    27th international conference on theory and practice of digital libraries, TPDL 2023, Zadar, Croatia, September 26-29, 2023 : proceedings
    Beteiligt: Alonso, Omar (HerausgeberIn); Cousijn, Helena (HerausgeberIn); Silvello, Gianmaria (HerausgeberIn); Marrero, Mónica (HerausgeberIn); Teixeira Lopes, Carla (HerausgeberIn); Marchesin, Stefano (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Cham

    This book constitutes the refereed proceedings of the 27th International Conference on Linking Theory and Practice of Digital Libraries, TPDL 2023, held in Zadar, Croatia, during September 26-29, 2023. The 13 full papers and 17 short papers included... mehr

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    RN 2835(14241)
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    This book constitutes the refereed proceedings of the 27th International Conference on Linking Theory and Practice of Digital Libraries, TPDL 2023, held in Zadar, Croatia, during September 26-29, 2023. The 13 full papers and 17 short papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: Applications and digital library systems; data citation and citation analysis; discovering science, monitoring and publishing science; knowledge creation; Human-Computer Interaction; digital humanities; and digital cultural heritage

     
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    Quelle: Verbundkataloge
    Beteiligt: Alonso, Omar (HerausgeberIn); Cousijn, Helena (HerausgeberIn); Silvello, Gianmaria (HerausgeberIn); Marrero, Mónica (HerausgeberIn); Teixeira Lopes, Carla (HerausgeberIn); Marchesin, Stefano (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031438486
    Körperschaften/Kongresse: International Conference on Theory and Practice of Digital Libraries, 27. (2023, Zadar)
    Schriftenreihe: Lecture notes in computer science ; 14241
    Schlagworte: Angewandte Informatik; Bildverarbeitung; COMPUTERS / Computer Vision & Pattern Recognition; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Information Theory; COMPUTERS / Programming / Software Development; Coding theory & cryptology; Computer vision; Elektronik; Imaging systems & technology; Information technology: general issues; Informationstheorie; Kodierungstheorie und Verschlüsselung (Kryptologie); Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Software Engineering; Software Engineering; TECHNOLOGY & ENGINEERING / Electronics / General
    Umfang: xviii, 358 Seiten, Diagramme
    Bemerkung(en):

    Literaturangaben

    Applications and Digital Library Systems.- Human-in-the-loop Latent Space Learning for Bibrecord-based Literature Management.- Holistic Graph-based Document Representation and Management for Open Science.- A Multilingual Dashboard To Analyse Intercultural Knowledge Circulation.- Applications and Digital Library Systems.- Known by the Company it Keeps: Proximity-Based Indexing for Physical Content in Archival Repositories.- Aspect-Driven Structuring of Historical Dutch Newspaper Archives.- PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases.- Data Citation and Citation Analysis.- How to Cite a Web Ranking and Make it FAIR.- Tracing Data Footprints: Formal and Informal Data Citations in the Scientific Literature.- Non-citable but not uncited: a large-scale citation analysis of editorials.- BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops.- Investigating the Relation between Authors' Academic Age and their Citations.- Discovering science.- On Retraction Cascade? Citation Intention Analysis as a Quality Control Mechanism in Digital Libraries.- Using Semi-Automatic Annotation Platform to create Corpus for Argumentative Zoning.- CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering.- A Robust Approach for Hybrid Personalized Recommender Systems.- Readability Measures as Predictors of Understandability and Engagement in Searching to Learn.- Classification of Visualization Types and Perspectives in Patents.- Monitoring and Publishing science.- It's Not Just GitHub: Identifying Data and Software Sources Included in Publications.- A Graph Neural Network Approach for Evaluating Correctness of Groups of Duplicates.- Synthesizing Web Archive Collections Into Big Data: Lessons From Mining Data From Web Archives.- A Comparison of Automated Journal Recommender Systems.- Making PDFs Accessible for Visually Impaired Users (and Findable for Everybody Else).- Knowledge creation.- Multi-view Graph-based Text Representations for Imbalanced Classification.- Large Synthetic Data from the ar iv for OCR Post Correction of Historic Scientific Articles.- Human-Computer Interaction.- From textual to visual image searching: User experience of advanced image search tool.- Ranking for Learning: Studying Users' Perceptions of Relevance, Understandability, and Engagement.- Digital Humanities.- Image Modification Modeled as a Storytelling Process.- From ISAD(G) to Linked Data Archival Descriptions.- Detection of Redacted Text in Legal Documents.- The First Tile for the Digital Onomastic Repertoire of the French Medieval Romance: Problems and Perspectives.- Digital Cultural Heritage.- Digital Cultural Heritage.- Persistent identifier usage by cultural heritage institutions: a study on the Europeana.eu dataset.- Real Experienced Needs for Accessible and Inclusive Cultural Heritage - First Results in MuseIT.
  11. Chinese computational linguistics
    22nd China national conference, CCL 2023, Harbin, China, August 3-5, 2023 : proceedings
    Beteiligt: Sun, Maosong (HerausgeberIn); Qin, Bing (HerausgeberIn); Qiu, Xipeng (HerausgeberIn); Jing, Jiang (HerausgeberIn); Han, Xianpei (HerausgeberIn); Rao, Gaoqi (HerausgeberIn); Chen, Yubo (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Singapore

    This book constitutes the refereed proceedings of the 22nd China National Conference on Chinese Computational Linguistics, CCL 2023, Harbin, China, August 3-5, 2023. The 82 full papers included in this book were carefully reviewed and selected from... mehr

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RN 2835(14232)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

    Standort:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
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    This book constitutes the refereed proceedings of the 22nd China National Conference on Chinese Computational Linguistics, CCL 2023, Harbin, China, August 3-5, 2023. The 82 full papers included in this book were carefully reviewed and selected from 278 submissions. They were organized in topical sections as follows: Fundamental Theory and Methods of Computational Linguistics, Information Retrieval, Dialogue and Question Answering, Text Generation, Dialogue and Summarization, Knowledge Graph and Information Extraction, Machine Translation and Multilingual Information Processing, Language Resource and Evaluation, Pre-trained Language Models, Social Computing and Sentiment Analysis, NLP Applications

     
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    Quelle: Verbundkataloge
    Beteiligt: Sun, Maosong (HerausgeberIn); Qin, Bing (HerausgeberIn); Qiu, Xipeng (HerausgeberIn); Jing, Jiang (HerausgeberIn); Han, Xianpei (HerausgeberIn); Rao, Gaoqi (HerausgeberIn); Chen, Yubo (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9789819962068
    Körperschaften/Kongresse: CCL, 22. (2023, Harbin)
    Schriftenreihe: Array ; 14232
    Schlagworte: Angewandte Informatik; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Networking / General; Computer networking & communications; Computerhardware; Information technology: general issues; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Umfang: xxii, 466 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Literaturangaben

    Fundamental Theory and Methods of Computational Linguistics.- The Contextualized Representation of Collocation.- Information Retrieval, Dialogue and Question Answering.- Ask to Understand: Question Generation for Multi-hop Question Answering.- Learning on Structured Documents for Conditional Question Answering.- Overcoming Language Priors with Counterfactual Inference for Visual Question Answering.- Rethinking Label Smoothing on Multi-hop Question Answering.- Text Generation, Dialogue and Summarization.- Unsupervised Style Transfer in News Headlines via Discrete Style Space.- Lexical Complexity Controlled Sentence Generation for Language Learning.- Improving Zero-shot Cross-lingual Dialogue State Tracking via Contrastive Learning.- Knowledge Graph and Information Extraction.- Document Information Extraction via Global Tagging.- A Distantly-Supervised Relation Extraction Method Based on Selective Gate and Noise Correction.- Improving Cascade Decoding with Syntax-aware Aggregator and Contrastive Learning for Event Extraction.- TERL: Transformer Enhanced Reinforcement Learning for Relation Extraction.- P-MNER: Cross Modal Correction Fusion Network with Prompt Learning for Multimodal Named Entity Recognitiong.- Self Question-answering: Aspect Sentiment Triplet Extraction via a Multi-MRC Framework based on Rethink Mechanism.- Enhancing Ontology Knowledge for Domain-Specific Joint Entity and Relation Extraction.- Machine Translation and Multilingual Information Processing.- FACT:A Dynamic Framework for Adaptive Context-Aware Translation.- Language Resource and Evaluation.- MCLS: A Large-Scale Multimodal Cross-Lingual Summarization Dataset.- CHED: A Cross-Historical Dataset with a Logical Event Schema for Classical Chinese Event Detection.- Training NLI Models Through Universal Adversarial Attack.- Pre-trained Language Models.- Revisiting k-NN for Fine-tuning Pre-trained Language Models.- Adder Encoder for Pre-trained Language Model.- Exploring Accurate and Generic Simile Knowledge from Pre-trained Language Models.- Social Computing and Sentiment Analysis.- Learnable Conjunction Enhanced Model for Chinese Sentiment Analysis.- Enhancing Implicit Sentiment Learning via the Incorporation of Part-of-Speech for Aspect-based Sentiment Analysis.- Improving Affective Event Classification with Multi-Perspective Knowledge Injection.- NLP Applications.- Adversarial Network with External Knowledge for Zero-Shot Stance Detection.- Few-Shot Charge Prediction with Multi-Grained Features and Mutual Information.- SentBench: Comprehensive Evaluation of Self-Supervised Sentence Representation with Benchmark Construction.
  12. Explainable artificial intelligence
    Part 1
    Beteiligt: Longo, Luca (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Cham

    This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the... mehr

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RS 7445(1901)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

     

    This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI

     
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    Quelle: Verbundkataloge
    Beteiligt: Longo, Luca (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031440632
    Übergeordneter Titel: Explainable artificial intelligence - Alle Bände anzeigen
    Körperschaften/Kongresse: xAI, 1. (2023, Lissabon)
    Schriftenreihe: Communications in computer and information science ; 1901
    Moremedia
    Schlagworte: Angewandte Informatik; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Hardware / Network Hardware; Information technology: general issues; Künstliche Intelligenz; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Network hardware; Netzwerk-Hardware
    Umfang: xxv, 692 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Literaturangaben

    Interdisciplinary perspectives, approaches and strategies for xAI.- Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI.- Explainable AI in Finance, cybersecurity, health-care and biomedicine.
  13. AI Chatbots
    The Good, The Bad, and The Ugly
    Autor*in: Crowder, James
    Erschienen: 2023
    Verlag:  Springer International Publishing AG, Cham

    This book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our... mehr

     

    This book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our needs - even if it's a reminder of scheduled events. The author provides insight into the notion of human-Chatbot exchanges, understanding, and false emotions both from the Chatbot and from the human. He goes on to investigate and discuss the dangers of too much reliance on technology that learns from a variety of sources and how some sources can negatively influence Chatbots, and by doing so, negatively affect people. The book also discusses human-Chatbot interactions and the natural language interface(s) required to respond adequately to humans. Lastly, the author explores the notion of ethical considerations for people, based on their interactions with Chatbots, including information based on cultural differences between different regions of the world

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031455087
    Auflage/Ausgabe: 1st ed. 2024
    Schriftenreihe: Synthesis Lectures on Engineering, Science, and Technology
    Schlagworte: Angewandte Informatik; Artificial intelligence; BUSINESS & ECONOMICS / Management Science; Business & management; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / User Interfaces; Information technology: general issues; Künstliche Intelligenz; Management: Innovation; Mensch-Computer-Interaktion; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Engineering (General); User interface design & usability
    Umfang: 165 Seiten
    Bemerkung(en):

    Introduction.- Section I: The Rise of the Chatbot.- What is a Chatbot.- Categories of Chatbots.- Chatbots and the need for connectivity.- Do They Fill a Need in Society.- Section II: Chatbots: The Good.- Chatbots like SIRI: Your Digital Assistant.- Chatbots for casual interactions.- Chatbots that analyze data and provide valuable information.- Section III: Chatbots: The Bad.- Microsoft's 2016 Chatbot - What Went Wrong.- Examples of Issues with Chatbots over the last Few Years.- When is human-AI interaction appropriate and when is it inappropriate.- Section IV: Chatbots: The Ugly.- Inherent Bias in Chatbots: Is it Possible to Create an AI Entity without any Bias.- What Happens when a Chatbot Gives Detrimental Advice: Who's Responsible.- Can we rely on Companies that Create Chatbots to act Responsibly.- Section IV: Future of Chatbots.- What does the Future of Chatbots Look Like.- Can Future AI Entities show Love and Compassion and Should They.- Conclusion.
  14. Explainable artificial intelligence
    Part 2
    Beteiligt: Longo, Luca (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Cham

    This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the... mehr

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RS 7445(1902)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

     

    This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI

     
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    Quelle: Verbundkataloge
    Beteiligt: Longo, Luca (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031440663
    Übergeordneter Titel: Explainable artificial intelligence - Alle Bände anzeigen
    Körperschaften/Kongresse: xAI, 1. (2023, Lissabon)
    Schriftenreihe: Communications in computer and information science ; 1902
    Schlagworte: Angewandte Informatik; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Hardware / Network Hardware; Information technology: general issues; Künstliche Intelligenz; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Network hardware; Netzwerk-Hardware
    Umfang: xviii, 664 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Literaturangaben

    Surveys, benchmarks, visual representations and applications for xAI.- xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks.- Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems.
  15. Explainable artificial intelligence
    Part 3
    Beteiligt: Longo, Luca (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Cham

    This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the... mehr

    Standort:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RS 7445(1903)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

     

    This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI

     
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    Beteiligt: Longo, Luca (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9783031440694
    Übergeordneter Titel: Explainable artificial intelligence - Alle Bände anzeigen
    Körperschaften/Kongresse: xAI, 1. (2023, Lissabon)
    Schriftenreihe: Communications in computer and information science ; 1903
    Schlagworte: Angewandte Informatik; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Hardware / Network Hardware; Information technology: general issues; Künstliche Intelligenz; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Network hardware; Netzwerk-Hardware
    Umfang: xvii, 540 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Literaturangaben

    xAI for time series and Natural Language Processing.- Human-centered explanations and xAI for Trustworthy and Responsible AI.- Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.
  16. Formal methods and software engineering
    24th international conference on formal engineering methods, ICFEM 2023, Brisbane, QLD, Australia, November 21-24, 2023 : proceedings
    Beteiligt: Li, Yi (HerausgeberIn); Tahar, Sofiène (HerausgeberIn)
    Erschienen: [2023]; © 2023
    Verlag:  Springer, Singapore

    This book constitutes the proceedings of the 24th International Conference on Formal Methods and Software Engineering, ICFEM 2023, held in Brisbane, QLD, Australia, during November 21-24, 2023. The 13 full papers presented together with 8 doctoral... mehr

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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signatur:
    RN 2835(14308)
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

    Standort:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
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    This book constitutes the proceedings of the 24th International Conference on Formal Methods and Software Engineering, ICFEM 2023, held in Brisbane, QLD, Australia, during November 21-24, 2023. The 13 full papers presented together with 8 doctoral symposium papers in this volume were carefully reviewed and selected from 34 submissions, the volume also contains one invited paper. The conference focuses on applying formal methods to practical applications and presents papers for research in all areas related to formal engineering methods

     
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    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Beteiligt: Li, Yi (HerausgeberIn); Tahar, Sofiène (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Konferenzschrift
    Format: Druck
    ISBN: 9789819975839
    Körperschaften/Kongresse: International Conference on Formal Engineering Methods, 24. (2023, Brisbane)
    Schriftenreihe: Lecture notes in computer science ; 14308
    Schlagworte: Angewandte Informatik; COMPUTERS / Computer Science; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Programming / General; COMPUTERS / Programming / Software Development; COMPUTERS / Programming Languages / General; Compiler und Übersetzer; Computer programming / software development; Computer science; Computerprogrammierung und Softwareentwicklung; Information technology: general issues; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Programming & scripting languages: general; Software Engineering; Software Engineering; Theoretische Informatik
    Umfang: xxviii, 300 Seiten, Diagramme
    Bemerkung(en):

    Literaturangaben

    Invited Talk: Verifying Compiler Optimisations.- Regular Papers: An Idealist's Approach for Smart Contract Correctness.- Active Inference of EFSMs Without Reset.- Learning Mealy Machines with Local Timers.- Compositional Vulnerability Detection with Insecurity Separation Logic.- Dynamic Extrapolation in Extended Timed Automata.- Formalizing Robustness against Character-level Perturbations for Neural Network Language Models.- Trace models of concurrent valuation algebras.- Branch and Bound for Sigmoid-like Neural Network Verification.- Certifying Sequential Consistency of Machine Learning Accelerators.- Guided Integration of Formal Verification in Assurance Cases.- Validation-Driven Development.- Incremental Property Directed Reachability.- Proving Local Invariants in ASTDs.- Doctoral Symposium Papers: Formal Verification of the Burn-to-Claim Blockchain Interoperable Protocol.- Early and systematic validation of formal models.- Verifying Neural Networks by Approximating Convex Hulls.- Eager to Stop: Efficient Falsification of Deep Neural Networks.- A Runtime Verification Framework For Cyber-physical Systems Based On Data Analytics And LTL Formula Learning.- Unified Verification of Neural Networks' Robustness and Privacy in Computer Vision.- IoT Software Vulnerability Detection Techniques through Large Language Model.- Vulnerability Detection via Typestate-Guided Code Representation Learning.