The 8th International Conference on Time Series and Forecasting / / edited by Ignacio Rojas [and four others] |
Pubbl/distr/stampa | Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022 |
Descrizione fisica | 1 online resource (434 pages) |
Disciplina | 004 |
Soggetto topico | Computer science |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface to "The 8th International Conference on Time Series and Forecastingnacio Rojas -- Statement of Peer Review -- Evaluating a Recurrent Neural Network Model for Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data -- K-Means Clustering Assisted Spectrum Utilization Prediction with Deep Learning Models -- Alone We Can Do So Little; Together We Cannot Be Detected -- ODIN TS: A Tool for the Black-Box Evaluation of Time Series Analytics -- Cloud-Base Height Estimation Based on CNN and All Sky Images -- A Hybrid Model of VAR-DCC-GARCH and Wavelet Analysis for Forecasting Volatility -- Synthetic Subject Generation with Coupled Coherent Time Series Data -- Price Dynamics and Measuring the Contagion between Brent Crude and Heating Oil (US-Diesel) Pre and Post COVID-19 Outbreak -- Hybrid K-Mean Clustering and Markov Chain for Mobile Network Accessibility and Retainability Prediction -- A Multivariate Approach for Spatiotemporal Mobile Data Traffic Prediction -- An Application of Neural Networks to Predict COVID-19 Cases in Italy -- Relationship between Stationarity and Dynamic Convergence of Time Series -- Partitioning of Net Ecosystem Exchange Using Dynamic Mode Decomposition and Time Delay Embedding -- An Ordinal Procedure to Detect Change Points in the Dependence Structure between -- On the Prospective Use of Deep Learning Systems for Earthquake Forecasting over Schumann -- Hadeel Afifi, Mohamed Elmahdy, Motaz El Saban and Mervat Abu-Elkheir -- Probabilistic Forecasting for Oil Producing Wells Using Seq2seq Augmented Model -- Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting -- PV Fault Diagnosis Method Based on Time Series Electrical Signal Analysis -- Early Detection of Flash Floods Using Case-Based Reasoning -- Inland Areas, Protected Natural Areas and Sustainable Development -- Expectation-Maximization Algorithm for Autoregressive Models with Cauchy Innovations -- Deep Representation Learning for Cluster-Level Time Series Forecasting -- Elpiniki Papageorgiou, Theofilos Mastos and Angelos Papadopoulos -- Autoencoders for Anomaly Detection in an Industrial Multivariate Time Series Dataset -- Time Series Clustering of High Gamma Dose Rate Incidents -- A Dynamic Combination of Theta Method and ATA: Validating on a Real Business Case -- Limitation of Deep-Learning Algorithm for Prediction of Power Consumption -- Combination of Post-Processing Methods to Improve High-Resolution NWP Solar Irradiance -- Mohammed Al Saleh, Beatrice Finance, Yehia Taher, Ali Jaber and Roger Luff -- Comparative Analysis of Residential Load Forecasting with Different Levels of Aggregation -- An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting -- Outliers Impact on Parameter Estimation of Gaussian and Non-Gaussian State Space Models: A Simulation Study -- Time Series Sampling -- Modelling a Continuous Time Series with FOU(p) Processes -- PV Energy Prediction in 24 h Horizon Using Modular Models Based on Polynomial Conversion of the L-Transform PDE Derivatives in Node-by-Node-Evolved Binary-Tree Networks -- Modelling the Number of Daily Stock Transactions Using a Novel Time Series Model -- Improving the Predictive Power of Historical Consistent Neural Networks -- Exploration of Different Time Series Models for Soccer Athlete Performance Prediction -- The Bootstrap for Testing the Equality of Two Multivariate Stochastic Processes with an Application to Financial Markets -- Using Forecasting Methods on Crime Data: The SKALA Approach of the State Office for Criminal Investigation of North Rhine-Westphalia -- Reconstructed Phase Spaces and LSTM Neural Network Ensemble Predictions -- Dynamic Asymmetric Causality Tests with an Application -- Coarse Grain Spectral Analysis for the Low-Amplitude Signature of Multiperiodic Stellar -- Pulsators. |
Record Nr. | UNINA-9910674371503321 |
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in computational intelligence : 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings . Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (xxiv, 669 pages) : illustrations (some color) |
Disciplina |
570.285
570.113 |
Altri autori (Persone) |
RojasIgnacio
JoyaGonzalo CatalaAndreu |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computational intelligence
Neural networks (Computer science) |
ISBN | 3-031-43078-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Deep Learning and Applications -- Deep Learning Applied to Computer Vision and Robotics -- General Applications of Artificial Intelligence -- Interaction with Neural Systems in Both Health and Disease -- Machine Learning for 4.0 Industry Solutions -- Neural Networks in Chemistry and Material Characterization -- Ordinal Classification -- Real World Applications of BCI Systems -- and Spiking Neural Networks: Applications and Algorithms. |
Record Nr. | UNISA-996552463903316 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in computational intelligence : 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings . Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (xxiv, 669 pages) : illustrations (some color) |
Disciplina |
570.285
570.113 |
Altri autori (Persone) |
RojasIgnacio
JoyaGonzalo CatalaAndreu |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computational intelligence
Neural networks (Computer science) |
ISBN | 3-031-43078-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Deep Learning and Applications -- Deep Learning Applied to Computer Vision and Robotics -- General Applications of Artificial Intelligence -- Interaction with Neural Systems in Both Health and Disease -- Machine Learning for 4.0 Industry Solutions -- Neural Networks in Chemistry and Material Characterization -- Ordinal Classification -- Real World Applications of BCI Systems -- and Spiking Neural Networks: Applications and Algorithms. |
Record Nr. | UNINA-9910746971003321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Computational Intelligence : 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Català |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (456 pages) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Artificial intelligence
Social sciences - Data processing Education - Data processing Computer vision Computer networks Computer systems Artificial Intelligence Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision Computer Communication Networks Computer System Implementation Intel·ligència artificial Xarxes neuronals (Informàtica) |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-85099-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Information fusion in Deep Learning for Biomedicine -- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19) -- Advanced Topics in Computational Intelligence -- Biosignals Processing -- Deep Learning -- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems -- Artificial Intelligence and Biomedicine -- Convolutional Neural Networks: Beyond Traditional Solutions -- Bio-inspired Systems and Neuro-Engineering -- Agent-Based Models for Policy Design Towards a More Sustainable World -- Randomization in Deep Learning -- Neural Networks for Time Series Forecasting -- Applications in Artificial Intelligence. |
Record Nr. | UNINA-9910495155803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Computational Intelligence : 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Català |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (635 pages) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Computers Artificial intelligence Computer Networks Computer networks Computer systems Computational and Systems Biology Computing Milieux Artificial Intelligence Computer Communication Networks Computer System Implementation Intel·ligència computacional Agents intel·ligents (Programes d'ordinador) Intel·ligència artificial Web semàntic Interacció persona-ordinador |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-85030-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Information fusion in Deep Learning for Biomedicine -- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19) -- Advanced Topics in Computational Intelligence -- Biosignals Processing -- Deep Learning -- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems -- Artificial Intelligence and Biomedicine -- Convolutional Neural Networks: Beyond Traditional Solutions -- Bio-inspired Systems and Neuro-Engineering -- Agent-Based Models for Policy Design Towards a More Sustainable World -- Randomization in Deep Learning -- Neural Networks for Time Series Forecasting -- Applications in Artificial Intelligence. |
Record Nr. | UNISA-996464404703316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Computational Intelligence : 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Català |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (635 pages) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Computers Artificial intelligence Computer Networks Computer networks Computer systems Computational and Systems Biology Computing Milieux Artificial Intelligence Computer Communication Networks Computer System Implementation Intel·ligència computacional Agents intel·ligents (Programes d'ordinador) Intel·ligència artificial Web semàntic Interacció persona-ordinador |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-85030-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Information fusion in Deep Learning for Biomedicine -- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19) -- Advanced Topics in Computational Intelligence -- Biosignals Processing -- Deep Learning -- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems -- Artificial Intelligence and Biomedicine -- Convolutional Neural Networks: Beyond Traditional Solutions -- Bio-inspired Systems and Neuro-Engineering -- Agent-Based Models for Policy Design Towards a More Sustainable World -- Randomization in Deep Learning -- Neural Networks for Time Series Forecasting -- Applications in Artificial Intelligence. |
Record Nr. | UNINA-9910495182403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Computational Intelligence : 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Català |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (456 pages) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Artificial intelligence
Social sciences - Data processing Education - Data processing Computer vision Computer networks Computer systems Artificial Intelligence Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision Computer Communication Networks Computer System Implementation Intel·ligència artificial Xarxes neuronals (Informàtica) |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-85099-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Information fusion in Deep Learning for Biomedicine -- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19) -- Advanced Topics in Computational Intelligence -- Biosignals Processing -- Deep Learning -- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems -- Artificial Intelligence and Biomedicine -- Convolutional Neural Networks: Beyond Traditional Solutions -- Bio-inspired Systems and Neuro-Engineering -- Agent-Based Models for Policy Design Towards a More Sustainable World -- Randomization in Deep Learning -- Neural Networks for Time Series Forecasting -- Applications in Artificial Intelligence. |
Record Nr. | UNISA-996464385603316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Computational Intelligence [[electronic resource] ] : 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXX, 940 p. 394 illus., 262 illus. in color.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Artificial intelligence Computer vision Computer networks Algorithms Data protection Computational and Systems Biology Artificial Intelligence Computer Vision Computer Communication Networks Data and Information Security |
ISBN | 3-030-20521-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine learning in weather observation and forecasting -- Computational intelligence methods for time series -- Human activity recognition -- New and future tendencies in brain-computer interface systems -- Random-weights neural networks -- Pattern recognition -- Deep learning and natural language processing -- Software testing and intelligent systems -- Data-driven intelligent transportation systems -- Deep learning models in healthcare and biomedicine. |
Record Nr. | UNISA-996466328403316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Computational Intelligence [[electronic resource] ] : 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXX, 926 p. 517 illus., 306 illus. in color.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Artificial intelligence Computer vision Computer networks Algorithms Data protection Computational and Systems Biology Artificial Intelligence Computer Vision Computer Communication Networks Data and Information Security |
ISBN | 3-030-20518-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Deep learning beyond convolution -- Artificial neural network for biomedical image processing -- Machine learning in vision and robotics -- System identification, process control, and manufacturing -- Image and signal processing -- Soft computing -- Mathematics for neural networks -- Internet modeling, communication and networking -- Expert systems -- Evolutionary and genetic algorithms -- Advances in computational intelligence -- Computational biology and bioinformatics. |
Record Nr. | UNISA-996466327603316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Computational Intelligence : 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXX, 926 p. 517 illus., 306 illus. in color.) |
Disciplina |
006.32
006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Artificial intelligence Computer vision Computer networks Algorithms Data protection Computational and Systems Biology Artificial Intelligence Computer Vision Computer Communication Networks Data and Information Security |
ISBN | 3-030-20518-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Deep learning beyond convolution -- Artificial neural network for biomedical image processing -- Machine learning in vision and robotics -- System identification, process control, and manufacturing -- Image and signal processing -- Soft computing -- Mathematics for neural networks -- Internet modeling, communication and networking -- Expert systems -- Evolutionary and genetic algorithms -- Advances in computational intelligence -- Computational biology and bioinformatics. |
Record Nr. | UNINA-9910337857203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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