Advances in Artificial Intelligence [[electronic resource] ] : 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, September 17-20, 2013, Proceedings / / edited by Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado, Juan M. Corchado |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XVIII, 404 p. 98 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Computers Information storage and retrieval Algorithms Computer communication systems Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computer Communication Networks |
ISBN | 3-642-40643-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Constraints, Search and Planning -- Intelligent Web and Information Retrieval -- Fuzzy systems -- Knowledge Representation, Reasoning and Logic -- Machine Learning -- Multidisciplinary Topics and Applications -- Metaheuristics -- Uncertainty in Artificial Intelligence. |
Record Nr. | UNISA-996465398503316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Artificial Intelligence : 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, September 17-20, 2013, Proceedings / / edited by Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado, Juan M. Corchado |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XVIII, 404 p. 98 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Computers Information storage and retrieval Algorithms Computer communication systems Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computer Communication Networks |
ISBN | 3-642-40643-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Constraints, Search and Planning -- Intelligent Web and Information Retrieval -- Fuzzy systems -- Knowledge Representation, Reasoning and Logic -- Machine Learning -- Multidisciplinary Topics and Applications -- Metaheuristics -- Uncertainty in Artificial Intelligence. |
Record Nr. | UNINA-9910484343303321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Explainable Artificial Intelligence and Process Mining Applications for Healthcare : Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings |
Autore | Juarez Jose M |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (140 pages) |
Altri autori (Persone) |
Fernandez-LlatasCarlos
BielzaConcha JohnsonOwen KocbekPrimoz LarrañagaPedro MartinNiels Munoz-GamaJorge StiglicGregor SepulvedaMarcos |
Collana | Communications in Computer and Information Science Series |
ISBN | 3-031-54303-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- International Workshop on Explainable Artificial Intelligence in Healthcare -- Unlocking the Power of Explainability in Ranking Systems: A Visual Analytics Approach with XAI Techniques -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 XAI -- 3.2 Interactive Visualization -- 4 Case Study: Explaining Triaging Patients to Be Admitted to ICU -- 5 Discussion -- 6 Conclusion -- References -- Explainable Artificial Intelligence in Response to the Failures of Musculoskeletal Disorder Rehabilitation -- 1 Introduction -- 2 Background and Context of This Work -- 3 Complexity of the Generation of Self-recovery Exercises -- 3.1 Defining the Rules -- 3.2 Application of the Consensus Rules -- 4 General Structure of Recov'Up -- 5 Explicability -- 6 Data Extension and Perspectives -- References -- An Explainable AI Framework for Treatment Failure Model for Oncology Patients -- 1 Introduction -- 2 Scope of Work -- 2.1 Approaches to Explainability -- 3 Methodology -- 3.1 Treatment Failure Explanations -- 3.2 Model Level Explanations -- 3.3 Challenges and Limitations -- 4 Results and Discussion -- 4.1 Dataset Insights -- 4.2 Treatment Failure Explanations -- 4.3 Counterfactual -- 4.4 Model Level Explanations -- 5 Conclusion and Future Work -- References -- Feature Selection in Bipolar Disorder Episode Classification Using Cost-Constrained Methods -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 Algorithm -- 3 Preliminary Results -- 4 Conclusions and Future Plans -- References -- ProbExplainer: A Library for Unified Explainability of Probabilistic Models and an Application in Interneuron Classification -- 1 Introduction -- 2 Background -- 2.1 Probabilistic Models: Bayesian Networks -- 2.2 Existing Software -- 2.3 Interneuron Classification: The Gardener Approach -- 3 Software Framework.
3.1 A Unified Interface -- 3.2 Design of the Algorithms -- 4 Application in GABAergic Interneuron Classification -- 4.1 Data -- 4.2 Experiments -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database -- 1 Introduction -- 2 Surveillance, Epidemiology, and End Results Database -- 2.1 Selection of the Individuals -- 2.2 Exploratory Data Analysis -- 3 Machine Learning Models -- 3.1 Data Preprocessing -- 3.2 Machine Learning Models -- 4 Explainability -- 5 Conclusions -- References -- Explanations of Symbolic Reasoning to Effect Patient Persuasion and Education -- 1 Introduction -- 2 Derivation Proofs -- 3 Human-Readable Explanation Generation from Derivation Proofs -- 3.1 Pre-processing Module -- 3.2 Describe Module -- 3.3 Collect Module -- 4 Demonstration -- 5 Planned Evaluation -- 6 Conclusions and Future Work -- References -- International Workshop on Process Mining Applications for Healthcare -- PMApp: An Interactive Process Mining Toolkit for Building Healthcare Dashboards -- 1 Introduction -- 2 Through an Interactive Process Mining Solution for Healthcare -- 3 PMApp: An Interactive Process Mining Toolkit -- 3.1 Experiment Designer -- 3.2 Ingestor Editor -- 3.3 Dashboard -- 4 Discussion and Conclusions -- References -- A Data-Driven Framework for Improving Clinical Managements of Severe Paralytic Ileus in ICU: From Path Discovery, Model Generation to Validation -- 1 Introduction -- 2 Method -- 2.1 Data Resource -- 2.2 Cohort Extraction -- 2.3 Event Log Extraction -- 2.4 Frequent Patient Pathways Discovery -- 2.5 Structural Equation Modelling -- 3 Results -- 4 Discussion and Conclusion -- References -- Phenotypes vs Processes: Understanding the Progression of Complications in Type 2 Diabetes. A Case Study -- 1 Introduction. 2 Methodology -- 2.1 Data Collection and Study Measures -- 2.2 Methods -- 2.3 Data Corpus and Event Log Generation -- 3 Results -- 3.1 Patient-Level Analysis -- 3.2 Short-Term Pathways Analysis -- 4 Discussion -- References -- From Script to Application. A bupaR Integration into PMApp for Interactive Process Mining Research -- 1 Introduction -- 2 Background -- 3 Use Case and Test Scenario -- 3.1 Filtering Cases Based on Activities and Timestamps -- 3.2 Data Augmentation and Conditional Filtering -- 3.3 Manipulation of Activities -- 4 Discussion and Future Work -- References -- Understanding Prostate Cancer Care Process Using Process Mining: A Case Study -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion and Conclusions -- References -- Author Index. |
Record Nr. | UNINA-9910841872803321 |
Juarez Jose M
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Cham : , : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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