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Advances in Intelligent Data Analysis XI [[electronic resource] ] : 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, Proceedings / / edited by Jaakko Hollmen, Frank Klawonn, Allan Tucker
| Advances in Intelligent Data Analysis XI [[electronic resource] ] : 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, Proceedings / / edited by Jaakko Hollmen, Frank Klawonn, Allan Tucker |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIV, 426 p. 136 illus.) |
| Disciplina | 519.5 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval Algorithms Data mining Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-642-34156-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Data Analysis of Human Genetic Data -- Queries for Data Analysis -- Parallel Data Mining Revisited. Better, not Faster -- Weighting Features for Partition Around Medoids Using the Minkowski Metric -- On Initializations for the Minkowski Weighted K-Means -- A Skew-t-normal Multi-level Reduced-rank Functional PCA Model for the Analysis of Replicated Genomics Time Course Data -- Methodological Foundation for Sign Language 3D Motion Trajectory Analysis -- Assembly Detection in Continuous Neural Spike Train Data -- Online Techniques for Dealing with Concept Drift in Process Mining -- An Evolutionary Based Clustering Algorithm Applied to Data Compression for Industrial Systems -- Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns -- Discriminative Dimensionality Reduction Mappings -- Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules -- Curve Fitting for Short Time Series Data from High Throughput Experiments with Correction for Biological Variation -- MCut: A Thresholding Strategy for Multi-label Classification -- Improving Tag Recommendation Using Few Associations -- Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models -- Constrained Clustering Using SAT -- Two-stage Approach for Electricity Consumption Forecasting in Public Buildings -- Online Predictive Model for Taxi Services -- Analysis of Noisy Biosignals for Musical Performance -- Information Theoretic Approach to Improve Performance of Networked Control Systems -- Learning Pattern Graphs for Multivariate Temporal Pattern Retrieval -- Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data -- Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields -- Patch-based Data Analysis Using Linear-Projection Diffusion -- Dictionary Construction for Patch-to-Tensor Embedding -- Where Are We Going? Predicting the Evolution of Individuals -- Use of General Purpose GPU Programing to Enhance the Classification of Leukemia Blast Cells in Blood Smear Images -- Intelligent Data Analysis by a Home-Use Human Monitoring Robot -- Sleep Musicalization: Automatic Music Composition from Sleep Measurements -- Engine Parameter Outlier Detection: Verification by Simulating PID Controllers Generated by Genetic Algorithm -- Unit Operational Pattern Analysis and Forecasting using EMD and SSA for Industrial Systems. |
| Record Nr. | UNISA-996465294403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XII [[electronic resource] ] : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
| Advances in Intelligent Data Analysis XII [[electronic resource] ] : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 464 p. 140 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval Algorithms Data mining Database Management Information Systems Applications (incl. Internet) Artificial Intelligence Information Storage and Retrieval Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-642-41398-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead -- Computational Techniques for Crop Disease Monitoring in the Developing World -- Subjective Interestingness in Exploratory Data Mining -- Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures -- Detecting Events in Molecular Dynamics Simulations -- Graph Clustering by Maximizing Statistical Association Measures -- Evaluation of Association Rule Quality Measures through Feature Extraction -- Towards Comprehensive Concept Description Based on Association Rules -- CD-MOA: Change Detection Framework for Massive Online Analysis -- Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks -- Finding Frequent Patterns in Parallel Point Processes -- Behavioral Clustering for Point Processes -- Estimating Prediction Certainty in Decision Trees -- Interactive Discovery of Interesting Subgroup Sets -- Gaussian Mixture Models for Time Series Modeling, Forecasting, and Interpolation -- When Does Active Learning Work -- Order Span: Mining Closed Partially Ordered Patterns -- Learning Multiple Temporal Matching for Time Series Classification -- On the Importance of Nonlinear Modeling in Computer Performance Prediction -- Diversity-Driven Widening -- Towards Indexing of Web3D Signing Avatars -- Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset -- Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks -- 1d-SAX: A Novel Symbolic Representation for Time Series -- Learning Models of Activities Involving Interacting Objects -- Correcting the Usage of the Hoeffding Inequality in Stream Mining -- Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors -- The Modeling of Glaucoma Progression through the Use of Cellular Automata -- Towards Narrative Ideation via Cross-Context Link Discovery Using Banded Matrices -- Gaussian Topographic Co-clustering Model -- Preventing Churn in Telecommunications: The Forgotten Network -- Computational Properties of Fiction Writing and Collaborative Work -- Classifier Evaluation with Missing Negative Class Labels -- Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning -- Accurate Visual Features for Automatic Tag Correction in Videos -- Ontology Database System and Triggers -- A Policy Iteration Algorithm for Learning from Preference-Based Feedback -- Multiclass Learning from Multiple Uncertain Annotations -- Learning Compositional Hierarchies of a Sensorimotor System. |
| Record Nr. | UNISA-996465478103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XII : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
| Advances in Intelligent Data Analysis XII : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings / / edited by Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 464 p. 140 illus.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Artificial intelligence Information storage and retrieval systems Algorithms Data mining Database Management Computer and Information Systems Applications Artificial Intelligence Information Storage and Retrieval Data Mining and Knowledge Discovery |
| ISBN | 3-642-41398-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data, Not Dogma: Big Data, Open Data, and the Opportunities Ahead -- Computational Techniques for Crop Disease Monitoring in the Developing World -- Subjective Interestingness in Exploratory Data Mining -- Time Point Estimation of a Single Sample from High Throughput Experiments Based on Time-Resolved Data and Robust Correlation Measures -- Detecting Events in Molecular Dynamics Simulations -- Graph Clustering by Maximizing Statistical Association Measures -- Evaluation of Association Rule Quality Measures through Feature Extraction -- Towards Comprehensive Concept Description Based on Association Rules -- CD-MOA: Change Detection Framework for Massive Online Analysis -- Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks -- Finding Frequent Patterns in Parallel Point Processes -- Behavioral Clustering for Point Processes -- Estimating Prediction Certainty in Decision Trees -- Interactive Discovery of Interesting Subgroup Sets -- Gaussian Mixture Models for Time Series Modeling, Forecasting, and Interpolation -- When Does Active Learning Work -- Order Span: Mining Closed Partially Ordered Patterns -- Learning Multiple Temporal Matching for Time Series Classification -- On the Importance of Nonlinear Modeling in Computer Performance Prediction -- Diversity-Driven Widening -- Towards Indexing of Web3D Signing Avatars -- Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset -- Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks -- 1d-SAX: A Novel Symbolic Representation for Time Series -- Learning Models of Activities Involving Interacting Objects -- Correcting the Usage of the Hoeffding Inequality in Stream Mining -- Exploratory Data Analysis through the Inspection of the Probability Density Function of the Number of Neighbors -- The Modeling of Glaucoma Progression through the Use of Cellular Automata -- Towards Narrative Ideation via Cross-Context Link Discovery Using BandedMatrices -- Gaussian Topographic Co-clustering Model -- Preventing Churn in Telecommunications: The Forgotten Network -- Computational Properties of Fiction Writing and Collaborative Work -- Classifier Evaluation with Missing Negative Class Labels -- Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning -- Accurate Visual Features for Automatic Tag Correction in Videos -- Ontology Database System and Triggers -- A Policy Iteration Algorithm for Learning from Preference-Based Feedback -- Multiclass Learning from Multiple Uncertain Annotations -- Learning Compositional Hierarchies of a Sensorimotor System. |
| Record Nr. | UNINA-9910483029703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Data Analysis XVI [[electronic resource] ] : 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings / / edited by Niall Adams, Allan Tucker, David Weston
| Advances in Intelligent Data Analysis XVI [[electronic resource] ] : 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings / / edited by Niall Adams, Allan Tucker, David Weston |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 348 p. 96 illus.) |
| Disciplina | 006.4 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Information storage and retrieval Application software Artificial intelligence Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Information Systems Applications (incl. Internet) Artificial Intelligence |
| ISBN | 3-319-68765-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Improving Chairlift Security with Deep Learning -- Discovering motifs with variants in music databases -- Biclustering Multivariate Time Series -- Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects -- Regression tree for bandits models in A/B testing -- Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases -- Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features -- Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening -- Interactive Pattern Sampling for Characterizing Unlabeled Data -- Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories -- Natural Language Analysis of Online Health Forums -- Freudian Slips: Analysing the Internal Representations of a Neural Network from its Mistakes -- KAPMiner: Mining ordered association rules with constraints -- A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics -- ABIDE: Querying Time-Evolving Sequences of Temporal Intervals -- The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950 -- Learning DTW-Preserving Shapelets -- Droplet Ensemble Learning on Drifting Data Streams -- Predictive clustering trees for hierarchical multi-target regression -- Identifying novel features from specimen data for the prediction of valuable field trips -- Adapting supervised classifiation algorithms to arbitrary weak label scenarios -- The Combination of Decision in Crowds When The Number of Reliable Annotator is Rare -- Estimating Sequence Similarity from Contig Sets -- Computational Topology Techniques for Characterizing Time-Series Data -- Improving Cold-Start Recommendations with Social-Media Trends and Reputations -- Hierarchical Novelty Detection -- Towards automatic evaluation of asphalt irregularity using smartphone's Sensors -- A structural benchmark for logical argumentation frameworks. |
| Record Nr. | UNISA-996465307403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings / / edited by Niall Adams, Allan Tucker, David Weston
| Advances in Intelligent Data Analysis XVI : 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings / / edited by Niall Adams, Allan Tucker, David Weston |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 348 p. 96 illus.) |
| Disciplina | 006.4 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Information storage and retrieval systems Application software Artificial intelligence Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications Artificial Intelligence |
| ISBN | 3-319-68765-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Improving Chairlift Security with Deep Learning -- Discovering motifs with variants in music databases -- Biclustering Multivariate Time Series -- Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects -- Regression tree for bandits models in A/B testing -- Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases -- Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features -- Bucket Selection: A Model-Independent Diverse Selection Strategy for Widening -- Interactive Pattern Sampling for Characterizing Unlabeled Data -- Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories -- Natural Language Analysis of Online Health Forums -- Freudian Slips: Analysing the Internal Representations of a Neural Network from its Mistakes -- KAPMiner: Mining ordered association rules with constraints -- A Dynamic Adaptive Questionnaire for Improved Disease Diagnostics -- ABIDE: Querying Time-Evolving Sequences of Temporal Intervals -- The Actors of History:Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950 -- Learning DTW-Preserving Shapelets -- Droplet Ensemble Learning on Drifting Data Streams -- Predictive clustering trees for hierarchical multi-target regression -- Identifying novel features from specimen data for the prediction of valuable field trips -- Adapting supervised classifiation algorithms to arbitrary weak label scenarios -- The Combination of Decision in Crowds When The Number of Reliable Annotator is Rare -- Estimating Sequence Similarity from Contig Sets -- Computational Topology Techniques for Characterizing Time-Series Data -- Improving Cold-Start Recommendations with Social-Media Trends and Reputations -- Hierarchical Novelty Detection -- Towards automatic evaluation of asphalt irregularity using smartphone's Sensors -- A structural benchmark for logical argumentation frameworks. |
| Record Nr. | UNINA-9910483616803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Medicine [[electronic resource] ] : 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings / / edited by Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker
| Artificial Intelligence in Medicine [[electronic resource] ] : 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings / / edited by Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker |
| Autore | Juarez Jose M |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (398 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
MarcosMar
StiglicGregor TuckerAllan |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Social sciences—Data processing Education—Data processing Computer networks Database management Data mining Artificial Intelligence Computer Application in Social and Behavioral Sciences Computers and Education Computer Communication Networks Database Management Data Mining and Knowledge Discovery |
| Soggetto non controllato |
Medicine
Medical |
| ISBN | 3-031-34344-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Learning and Deep Learning -- Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data -- Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens -- A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis -- Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening based on the UK Primary Care Data -- Causal Discovery with Missing Data in a Multicentric Clinical Study -- Novel approach for phenotyping based on diverse top-k subgroup lists -- Patient Event Sequences for Predicting Hospitalization Length of Stay -- Autoencoder-based prediction of ICU clinical codes -- Explainability and Transfer Learning -- Hospital Length of Stay Prediction Based on Multi-modal Data towards Trustworthy Human-AI Collaboration in Radiomics -- Explainable Artificial Intelligence for Cytological Image Analysis -- Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction -- Explainable AI for Medical Event Prediction for Heart Failure Patients -- Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection -- Computational Evaluation of Model-Agnostic Explainable AI using Local Feature Importance in Healthcare -- Batch Integrated Gradients: Explanations for Temporal Electronic Health Records -- Improving stroke trace classification explainability through counterexamples -- Spatial Knowledge Transfer with Deep Adaptation Network for Predicting Hospital Readmission -- Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis -- Natural Language Processing -- A Rule-free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers -- Classification of Fall Types in Parkinson Disease From Self-report Data Using Natural Language Processing -- BERT for complex systematic review screening to support the future of medical research -- GGTWEAK: Gene Tagging with Weak Supervision for German Clinical Text -- Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes -- Machine learning models for automatic Gene Ontology annotation of biological texts -- Image Analysis and Signal Analysis -- A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H&E Histological Images -- Can knowledge transfer techniques compensate for the limited myocardial infarction data by leveraging hemodynamics? An in silico Study -- Covid-19 Diagnosis In 3D Chest CT Scans With Attention-Based Models -- Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction -- Crowdsourcing segmentation of histopathological images using annotations provided by medical students -- Automatic sleep stage classification on EEG signals using time-frequency representation -- Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies -- Discriminant audio properties in deep learning based respiratory insufficiency detection in Brazilian Portuguese -- ECGAN: Self-supervised generative adversarial network for electrocardiography -- Data Analysis and Statistical Models -- Nation-wide ePrescription Data Reveals Landscape of Physicians and their Drug Prescribing Patterns in Slovenia -- Machine Learning Based Prediction of Incident Cases of Crohn’s Disease Using Electronic Health Records from a Large Integrated Health System -- Prognostic prediction of paediatric DHF in two hospitals in Thailand -- The Impact of Bias on Drift Detection in AI Health Software -- A Topological Data Analysis Framework for Computational Phenotyping -- Ranking of Survival-Related Gene Sets through Integration of Single-Sample Gene Set Enrichment and Survival Analysis -- Knowledge Representation and Decision Support -- Supporting the prediction of AKI evolution through interval-based approximate temporal functional dependencies -- Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology -- Ontology model for supporting process mining on healthcare-related data -- Real-World Evidence Inclusion in Guideline-Based Clinical Decision Support Systems: Breast Cancer Use Case -- Decentralized Web-based Clinical Decision Support using Semantic GLEAN Workflows -- An Interactive Dashboard for Patient Monitoring and Management: a Support Tool to the Continuity of Care Centre -- A general-purpose AI assistant embedded in an open-source radiology information system -- Management of patient and physician preferences and explanations for participatory evaluation of treatment with an ethical seal. . |
| Record Nr. | UNISA-996538667403316 |
Juarez Jose M
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Artificial intelligence in medicine : 19th International Conference on Artificial Intelligence in Medicine, AIME 2021 : virtual event, June 15-18, 2021 : proceedings / / Allan Tucker [and four others] editors
| Artificial intelligence in medicine : 19th International Conference on Artificial Intelligence in Medicine, AIME 2021 : virtual event, June 15-18, 2021 : proceedings / / Allan Tucker [and four others] editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XX, 505 p. 145 illus., 122 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN | 3-030-77211-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Analysis -- Predictive Modelling -- Temporal Data Analysis -- Unsupervised Learning -- Planning and Decision Support -- Deep Learning -- Natural Language Processing -- Knowledge Representation and Rule Mining. |
| Record Nr. | UNISA-996464432803316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Medicine : 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings / / edited by Allan Tucker, Pedro Henriques Abreu, Jaime Cardoso, Pedro Pereira Rodrigues, David Riaño
| Artificial Intelligence in Medicine : 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings / / edited by Allan Tucker, Pedro Henriques Abreu, Jaime Cardoso, Pedro Pereira Rodrigues, David Riaño |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XX, 505 p. 145 illus., 122 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Computers Image processing - Digital techniques Computer vision Computer science - Mathematics Mathematical statistics Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics Probability and Statistics in Computer Science Intel·ligència artificial Enginyeria de programari Xarxes d'ordinadors Programari d'aplicació Ordinadors Visió per ordinador Processament digital d'imatges Informàtica Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-77211-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Analysis -- Predictive Modelling -- Temporal Data Analysis -- Unsupervised Learning -- Planning and Decision Support -- Deep Learning -- Natural Language Processing -- Knowledge Representation and Rule Mining. |
| Record Nr. | UNINA-9910483918503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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