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Biomedical Informatics : Discovering Knowledge in Big Data / / by Andreas Holzinger
| Biomedical Informatics : Discovering Knowledge in Big Data / / by Andreas Holzinger |
| Autore | Holzinger Andreas |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIX, 551 p. 210 illus., 164 illus. in color.) |
| Disciplina | 610.285 |
| Soggetto topico |
Computational intelligence
Bioinformatics Biomedical engineering Biomathematics Computational Intelligence Computational Biology/Bioinformatics Biomedical Engineering and Bioengineering Mathematical and Computational Biology |
| ISBN | 3-319-04528-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction: Computer Science meets Life Science -- Fundamentals of Data, Information and Knowledge -- Structured Data: Coding and Classification -- Biomedical Databases: Acquisition, Storage, Information Retrieval and Use -- Multimedia Data Mining and Knowledge Discovery -- Knowledge and Decision: Cognitive Science and Human–Computer Interaction -- Biomedical Decision Making: Reasoning and Decision Support -- Interactive Information Visualization and Visual Analytics -- Biomedical Information Systems and Medical Knowledge Management -- Biomedical Data: Privacy, Safety and Security -- Methodology for Information Systems: System Design, Usability and Evaluation. |
| Record Nr. | UNINA-9910299751003321 |
Holzinger Andreas
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Knowledge Extraction [[electronic resource] ] : 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings / / edited by Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar Weippl
| Machine Learning and Knowledge Extraction [[electronic resource] ] : 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings / / edited by Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar Weippl |
| Autore | Holzinger Andreas |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (335 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KiesebergPeter
CabitzaFederico CampagnerAndrea TjoaA. Min WeipplEdgar |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Software engineering Database management Data mining Information storage and retrieval systems Machine theory Artificial Intelligence Software Engineering Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Formal Languages and Automata Theory |
| ISBN | 3-031-40837-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Controllable AI - An alternative to trustworthiness in complex AI systems? -- Efficient approximation of Asymmetric Shapley Values using Functional Decomposition -- Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition -- Human-in-the-Loop Integration of Domain-Knowledge Graphs for Explainable and Federated Deep Learning -- The Tower of Babel in explainable Artificial Intelligence (XAI) -- Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data -- Transformers are Short-text Classifiers -- Reinforcement Learning with Temporal-Logic-Based Causal Diagrams -- Using Machine Learning to Generate an ESG Dictionary -- Let me think! Investigating the effect of explanations feeding doubts about the AI advice -- Enhancing Trust in Machine Learning Systems by Formal Methods -- Sustainability Effects of Robust and Resilient Artificial Intelligence -- The Split Matters: Flat Minima Methods for Improving the Performance of GNNs -- Probabilistic framework based on Deep Learning for differentiating ultrasound movie view planes -- Standing Still is Not An Option: Alternative Baselines for Attainable Utility Preservation -- Memorization of Named Entities in Fine-tuned BERT Models -- Event and Entity Extraction from Generated Video Captions -- Fine-Tuning Language Models for Scientific Writing Support. |
| Record Nr. | UNISA-996546851503316 |
|
Holzinger Andreas
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Knowledge Extraction [[electronic resource] ] : 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings / / edited by Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar Weippl
| Machine Learning and Knowledge Extraction [[electronic resource] ] : 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings / / edited by Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar Weippl |
| Autore | Holzinger Andreas |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (335 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KiesebergPeter
CabitzaFederico CampagnerAndrea TjoaA. Min WeipplEdgar |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Software engineering Database management Data mining Information storage and retrieval systems Machine theory Artificial Intelligence Software Engineering Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Formal Languages and Automata Theory |
| ISBN | 3-031-40837-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Controllable AI - An alternative to trustworthiness in complex AI systems? -- Efficient approximation of Asymmetric Shapley Values using Functional Decomposition -- Domain-Specific Evaluation of Visual Explanations for Application-Grounded Facial Expression Recognition -- Human-in-the-Loop Integration of Domain-Knowledge Graphs for Explainable and Federated Deep Learning -- The Tower of Babel in explainable Artificial Intelligence (XAI) -- Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data -- Transformers are Short-text Classifiers -- Reinforcement Learning with Temporal-Logic-Based Causal Diagrams -- Using Machine Learning to Generate an ESG Dictionary -- Let me think! Investigating the effect of explanations feeding doubts about the AI advice -- Enhancing Trust in Machine Learning Systems by Formal Methods -- Sustainability Effects of Robust and Resilient Artificial Intelligence -- The Split Matters: Flat Minima Methods for Improving the Performance of GNNs -- Probabilistic framework based on Deep Learning for differentiating ultrasound movie view planes -- Standing Still is Not An Option: Alternative Baselines for Attainable Utility Preservation -- Memorization of Named Entities in Fine-tuned BERT Models -- Event and Entity Extraction from Generated Video Captions -- Fine-Tuning Language Models for Scientific Writing Support. |
| Record Nr. | UNINA-9910739458903321 |
|
Holzinger Andreas
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
XxAI - Beyond Explainable AI [[electronic resource] ] : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
| XxAI - Beyond Explainable AI [[electronic resource] ] : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers |
| Autore | Holzinger Andreas |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
| Descrizione fisica | 1 online resource (397 p.) |
| Altri autori (Persone) |
GoebelRandy
FongRuth MoonTaesup MüllerKlaus-Robert SamekWojciech |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Machine learning |
| Soggetto non controllato |
Computer Science
Informatics Conference Proceedings Research Applications |
| ISBN | 3-031-04083-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996472069203316 |
|
Holzinger Andreas
|
||
| Cham, : Springer International Publishing AG, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
XxAI - Beyond Explainable AI : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
| XxAI - Beyond Explainable AI : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers |
| Autore | Holzinger Andreas |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
| Descrizione fisica | 1 online resource (397 p.) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
GoebelRandy
FongRuth MoonTaesup MüllerKlaus-Robert SamekWojciech |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Machine learning Intel·ligència artificial Aprenentatge automàtic |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| Soggetto non controllato |
Computer Science
Informatics Conference Proceedings Research Applications |
| ISBN | 3-031-04083-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910561298803321 |
|
Holzinger Andreas
|
||
| Cham, : Springer International Publishing AG, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||