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Biblioteca

MARC Lista (tabellare)
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Autore Rojas Ignacio
Edizione [1st ed. 2026.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Descrizione fisica 1 online resource (1009 pages)
Disciplina 006.3
Altri autori (Persone) JoyaGonzalo
CatalaAndreu
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-032-02725-X
9783032027252
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Advanced Topics in Computational Intelligence. -- Power Quality 24-hour Prediction Based on L-Transform Derivative Modular and Deep Learning Statistics Using Environmental Data in detached Smart Buildings. -- Incremental Feature Learning of Shallow Feedforward Regression Neural Networks using Particle Swarm Optimisation. -- Resilience Under Attack: Benchmarking Optimizers Against Poisoning in Federated Learning for Image Classification Using CNN. -- VIDEM: VIDeo Effectiveness and Memorability Dataset. -- Penetration Testing with AI: Case Studies on LLM and RL-Based Attack Agents. -- A comparative study of deep learning approaches for classifying wild and cultivated fish. -- Sparse Least Square SVM in Primal via Nesterov Accelerated Alternating Directions Method of Multipliers. -- AI:Bioinformatics and Biomedical Applications. -- A transformer-based model to predict micro RNA interactions. -- Leveraging Large Language Models on Assay Descriptions to Improve the Prediction of Inhibitors for Mycobacterium tuberculosis. -- Advancing Imminent Fracture Risk Prediction: Integrating Machine Learning with Enhanced Feature Engineering. -- Self-organizing Maps for Missing Value Imputation in Transcriptomic Datasets. -- ANN HW-Accelerators. -- RECS: A Scalable Platform for Heterogeneous AI Acceleration in the Cloud-Edge Continuum. -- Evaluating HBM to accelerate neural networks on FPGAs demonstrated using binary neural associative memories. -- Resource-efficient Implementation of Convolutional Neural Networks on FPGAs with STANN. -- High-Performance FPGA-based CNN Acceleration for Real-Time DC Arc Fault Detection. -- Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators. -- Comparison of Hardware Component and Manycore Implementation for Anomaly Detection in Trustworthy System-on-Chips. -- Bio-Inspired Systems and Neuro-Engineering. -- An Emotional Classifier for Machine’s Artificial Visual Aesthetic Appraisal. -- Hardware and Software influence on EAs power consumption. -- Properties of monoclinic gallium oxide film and its photomemristor application in nonlinear RMC circuit. -- A perceptron-like neural network implementing a learning-capable K-nearest neighbor classifier. -- From Biological Neurons to Artificial Neural Networks: A Bioinspired Training Alternative. -- Recent Advances in Deep Learning. -- Domain Adaptation of the Whisper ASR Model for Tourism Call Center Transcription in Polish. -- Learning to Search with Subgoals. -- Towards Speaker Independent Speech Emotion Recognition by means of Dataset Aggregation. -- Learning Heuristics for k-NANN-A*: A Deep Learning Approach. -- Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability. -- Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks. -- Multi-view Cross Contrastive Learning for Multimodal Knowledge Graph Recommendation. -- MuleTrack: A Lightweight Temporal Learning Framework for Money Mule Detection in Digital Payments. -- Modular Deep Neural Networks with residual connections for predicting the pathogenicity of genetic variants in non coding genomic regions. -- Modeling Student–Subject Interactions with GNNs for Grade Prediction. -- Deploying Vision Foundation AI Models on the Edge. The SAM2 Experience. -- Generative AI for Contextualizing Bronze Age Objects in Historical Scenes. -- G-TED SAM: Node Classification via Graph Transformer to Simple Attention Model Distillation. -- Expression Recognition in Faces Partially Occluded by Head-Mounted Displays. -- Reinforcement Learning for Mapless Navigation: Enhancing Exploration with Image-Based Rewards. -- Deep Learning Applied to Computer Vision, Healthcare and Robotics. -- Human Activity Recognition in the Classroom using Low-cost Sensors. -- Hybrid dropout for deep ordinal classification. -- Enhanced video-based eye status detection in term infants. -- Knee osteoarthritis severity grading using soft labelling and ordinal classification. -- Self-attentive bidirectional LSTM networks for temporal decoding of EEG motor states. -- Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation. -- MORENA: Empty images detection based on unsupervised reconstruction error analysis. -- Methodological framework for the creation of digital twins for photovoltaic power plants. -- Decoding Brain Lobe Contributions in EEG for automatic detection of obstructive sleep apnea. -- Emerging Methodologies in Time Series Forecasting. -- Forecasting Non-Stationary Time Series: A Comparison of Deep and Shallow Neural Network Architectures. -- Deep Learning or Trees? A Trade-off Analysis for Multivariate Time Series Forecasting. -- Hybrid AI Models for Structured Mobility Prediction in Metropolitan Areas. -- XAI for univariate and multivariate time series forecasting. A case study on electricity consumption in Romania’s National Electricity Network. -- Assessing bias in the evaluation of blood glucose prediction models.
Record Nr. UNINA-9911114084203321
Rojas Ignacio  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Autore Rojas Ignacio
Edizione [1st ed. 2026.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Descrizione fisica 1 online resource (999 pages)
Disciplina 006.3
Altri autori (Persone) JoyaGonzalo
CatalaAndreu
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-032-02728-4
9783032027283
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications. -- Understanding of Latent spaces in a battery aging prediction model through eXplainable AI. -- Exploring brain lateralization using Tensor decomposition of EEG phase-amplitude coupling. -- Ethical Considerations in Artificial Intelligence and Machine Learning. -- Kolmogorov-Arnold Networks for the Development of Intrusion Detection Systems. -- General Applications of AI. -- Machine Learning based Screening for Psychological Distress using a Perceived Control Mobile App. -- Tobacco and Weed Segmentation from Remote Images Using Artificial Intelligence. -- A Hybrid ResNet50-LSTM Architecture for Video Sentiment Analysis. -- Towards a Framework that facilitates the Construction of Image Segmentation Models. -- TASER-Net: Transformer Based Speech Emotion Recognition. -- Experimental Analysis and Modeling of Electrochemical Oxygen Pump Cell ECOpump. -- Empowering Scalable Fraud Detection Using Graph Neural Networks and Incremental Learning. -- Transfer Learning approach for prediction of maximum wave height in two locations of the Bay of Biscay: Bilbao and Cabo de Pe˜nas. -- Classifier fusion for the detection of defects from active thermography. -- Multimodal analysis of neuropsychological tests from EEG and fMRI data. -- Solid-waste Classification Using Deep Learning Fusion Model. -- Improving PV power prediction based on GRU and meteorological factors. -- Poisson Hamiltonian Neural Networks: Structure-Preserving Learning of Dynamical Systems. -- SEF-Net: A Hybrid Deep Learning Architecture for Multi-Step Forecasting in Sustainable Energy Markets. -- A new approach to detecting occupational diseases using time series. -- Comparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniques. -- ITOMAD – Intelligent Techniques for Optimization, Modeling, and Anomaly Detection. -- Design and Capture of a 5G SA Traffic Dataset Under Jamming Conditions. -- Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach. -- Optimal malware mitigation in IoT networks: A comparative study of Neural ODEs and Pontryagin’s maximum principle. -- Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications. -- A Short Analysis of Hybrid Frameworks Based on Self-Organizing Maps to Improve Traditional Systems. -- Comparative Performance of Convolutional Neural Networks and Vision Transformers for Quality Assurance of a Welding Process. -- A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based. -- Power Prediction System for Photovoltaic Panels Using Artificial Intelligence. -- Towards safer hydrogen infrastructure: anomaly detection in synthetic hydrogen dispensing data. -- Machine Learning for 4.0 Industry Solutions. -- Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-Processing. -- Dimensionality Reduction and Outlier Analysis for the NF-ToN-IoT Cybersecurity Dataset. -- Data-Driven All-Optical Magnetometry: A Comparative Evaluation of Regression Models Using NV Center Fluorescence Lifetimes. -- Smart Incident Prediction from NOC Alert Events in Digital TV Broadcasting Networks. -- Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids. -- Symmetrical Current Flow Reconstruction for Sector-shaped Multi-Wire Cables using Machine Learning. -- Comparison of Multiclass Classification on Impedance Spectra to Estimate the State of Charge of Zinc-Air Batteries. -- Edge Machine Learning for All-Optical Fluorescence Lifetime-Based Sensing With NV Centers. -- Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data. -- Computational Approaches for Resolving the Low-Field Ambiguity in All-Optical Magnetic Field Sensing With NV Centers. -- Improved Post Processing Model for Photovoltaic Power Forecasting based on Clustering. -- New and future advances in BCI-based Spellers. -- An event-related potential BCI speller using a wearable, single-channel EEG headset with electrodes on the forehead. -- A Framework for Controlling NV Centers with OPX+: Design, Implementation, and Applications. -- Exploring Code-Modulated Visual Evoked Potentials Spellers in Realistic Scenarios. -- Towards Secure Transaction Authentication Using a cVEP-Based BCI. -- Evaluating Color Heterogeneity in RSVP-Based ERP-BCIs. -- Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance. -- BCI with Intuitive Object Control based on Code-Modulated Visual Evoked Potentials. -- Exploring the integration of c-VEP-based BCI spellers in mixed reality: a pilot study. -- Social and Ethical aspects of AI. -- Quantitative and qualitative evaluation on local explainability models for anomaly detection algorithms. -- Bias and Fairness in NLP: Addressing Social and Cultural Biases. -- Trustworthy AI Benchmark for Responsible Smart Grid as Critical Infrastructure. -- TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering. -- Implications of Human+Machine Systems as Critical Infrastructures under Sustainable Development Goals.
Record Nr. UNINA-9911114388003321
Rojas Ignacio  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Autore Rojas Ignacio
Edizione [1st ed. 2026.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Descrizione fisica 1 online resource (999 pages)
Disciplina 006.3
Altri autori (Persone) JoyaGonzalo
CatalaAndreu
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-032-02728-4
9783032027283
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications. -- Understanding of Latent spaces in a battery aging prediction model through eXplainable AI. -- Exploring brain lateralization using Tensor decomposition of EEG phase-amplitude coupling. -- Ethical Considerations in Artificial Intelligence and Machine Learning. -- Kolmogorov-Arnold Networks for the Development of Intrusion Detection Systems. -- General Applications of AI. -- Machine Learning based Screening for Psychological Distress using a Perceived Control Mobile App. -- Tobacco and Weed Segmentation from Remote Images Using Artificial Intelligence. -- A Hybrid ResNet50-LSTM Architecture for Video Sentiment Analysis. -- Towards a Framework that facilitates the Construction of Image Segmentation Models. -- TASER-Net: Transformer Based Speech Emotion Recognition. -- Experimental Analysis and Modeling of Electrochemical Oxygen Pump Cell ECOpump. -- Empowering Scalable Fraud Detection Using Graph Neural Networks and Incremental Learning. -- Transfer Learning approach for prediction of maximum wave height in two locations of the Bay of Biscay: Bilbao and Cabo de Pe˜nas. -- Classifier fusion for the detection of defects from active thermography. -- Multimodal analysis of neuropsychological tests from EEG and fMRI data. -- Solid-waste Classification Using Deep Learning Fusion Model. -- Improving PV power prediction based on GRU and meteorological factors. -- Poisson Hamiltonian Neural Networks: Structure-Preserving Learning of Dynamical Systems. -- SEF-Net: A Hybrid Deep Learning Architecture for Multi-Step Forecasting in Sustainable Energy Markets. -- A new approach to detecting occupational diseases using time series. -- Comparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniques. -- ITOMAD – Intelligent Techniques for Optimization, Modeling, and Anomaly Detection. -- Design and Capture of a 5G SA Traffic Dataset Under Jamming Conditions. -- Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach. -- Optimal malware mitigation in IoT networks: A comparative study of Neural ODEs and Pontryagin’s maximum principle. -- Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications. -- A Short Analysis of Hybrid Frameworks Based on Self-Organizing Maps to Improve Traditional Systems. -- Comparative Performance of Convolutional Neural Networks and Vision Transformers for Quality Assurance of a Welding Process. -- A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based. -- Power Prediction System for Photovoltaic Panels Using Artificial Intelligence. -- Towards safer hydrogen infrastructure: anomaly detection in synthetic hydrogen dispensing data. -- Machine Learning for 4.0 Industry Solutions. -- Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-Processing. -- Dimensionality Reduction and Outlier Analysis for the NF-ToN-IoT Cybersecurity Dataset. -- Data-Driven All-Optical Magnetometry: A Comparative Evaluation of Regression Models Using NV Center Fluorescence Lifetimes. -- Smart Incident Prediction from NOC Alert Events in Digital TV Broadcasting Networks. -- Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids. -- Symmetrical Current Flow Reconstruction for Sector-shaped Multi-Wire Cables using Machine Learning. -- Comparison of Multiclass Classification on Impedance Spectra to Estimate the State of Charge of Zinc-Air Batteries. -- Edge Machine Learning for All-Optical Fluorescence Lifetime-Based Sensing With NV Centers. -- Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data. -- Computational Approaches for Resolving the Low-Field Ambiguity in All-Optical Magnetic Field Sensing With NV Centers. -- Improved Post Processing Model for Photovoltaic Power Forecasting based on Clustering. -- New and future advances in BCI-based Spellers. -- An event-related potential BCI speller using a wearable, single-channel EEG headset with electrodes on the forehead. -- A Framework for Controlling NV Centers with OPX+: Design, Implementation, and Applications. -- Exploring Code-Modulated Visual Evoked Potentials Spellers in Realistic Scenarios. -- Towards Secure Transaction Authentication Using a cVEP-Based BCI. -- Evaluating Color Heterogeneity in RSVP-Based ERP-BCIs. -- Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance. -- BCI with Intuitive Object Control based on Code-Modulated Visual Evoked Potentials. -- Exploring the integration of c-VEP-based BCI spellers in mixed reality: a pilot study. -- Social and Ethical aspects of AI. -- Quantitative and qualitative evaluation on local explainability models for anomaly detection algorithms. -- Bias and Fairness in NLP: Addressing Social and Cultural Biases. -- Trustworthy AI Benchmark for Responsible Smart Grid as Critical Infrastructure. -- TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering. -- Implications of Human+Machine Systems as Critical Infrastructures under Sustainable Development Goals.
Record Nr. UNISA-996691670203316
Rojas Ignacio  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Autore Rojas Ignacio
Edizione [1st ed. 2026.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Descrizione fisica 1 online resource (1009 pages)
Disciplina 006.3
Altri autori (Persone) JoyaGonzalo
CatalaAndreu
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-032-02725-X
9783032027252
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Advanced Topics in Computational Intelligence. -- Power Quality 24-hour Prediction Based on L-Transform Derivative Modular and Deep Learning Statistics Using Environmental Data in detached Smart Buildings. -- Incremental Feature Learning of Shallow Feedforward Regression Neural Networks using Particle Swarm Optimisation. -- Resilience Under Attack: Benchmarking Optimizers Against Poisoning in Federated Learning for Image Classification Using CNN. -- VIDEM: VIDeo Effectiveness and Memorability Dataset. -- Penetration Testing with AI: Case Studies on LLM and RL-Based Attack Agents. -- A comparative study of deep learning approaches for classifying wild and cultivated fish. -- Sparse Least Square SVM in Primal via Nesterov Accelerated Alternating Directions Method of Multipliers. -- AI:Bioinformatics and Biomedical Applications. -- A transformer-based model to predict micro RNA interactions. -- Leveraging Large Language Models on Assay Descriptions to Improve the Prediction of Inhibitors for Mycobacterium tuberculosis. -- Advancing Imminent Fracture Risk Prediction: Integrating Machine Learning with Enhanced Feature Engineering. -- Self-organizing Maps for Missing Value Imputation in Transcriptomic Datasets. -- ANN HW-Accelerators. -- RECS: A Scalable Platform for Heterogeneous AI Acceleration in the Cloud-Edge Continuum. -- Evaluating HBM to accelerate neural networks on FPGAs demonstrated using binary neural associative memories. -- Resource-efficient Implementation of Convolutional Neural Networks on FPGAs with STANN. -- High-Performance FPGA-based CNN Acceleration for Real-Time DC Arc Fault Detection. -- Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators. -- Comparison of Hardware Component and Manycore Implementation for Anomaly Detection in Trustworthy System-on-Chips. -- Bio-Inspired Systems and Neuro-Engineering. -- An Emotional Classifier for Machine’s Artificial Visual Aesthetic Appraisal. -- Hardware and Software influence on EAs power consumption. -- Properties of monoclinic gallium oxide film and its photomemristor application in nonlinear RMC circuit. -- A perceptron-like neural network implementing a learning-capable K-nearest neighbor classifier. -- From Biological Neurons to Artificial Neural Networks: A Bioinspired Training Alternative. -- Recent Advances in Deep Learning. -- Domain Adaptation of the Whisper ASR Model for Tourism Call Center Transcription in Polish. -- Learning to Search with Subgoals. -- Towards Speaker Independent Speech Emotion Recognition by means of Dataset Aggregation. -- Learning Heuristics for k-NANN-A*: A Deep Learning Approach. -- Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability. -- Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks. -- Multi-view Cross Contrastive Learning for Multimodal Knowledge Graph Recommendation. -- MuleTrack: A Lightweight Temporal Learning Framework for Money Mule Detection in Digital Payments. -- Modular Deep Neural Networks with residual connections for predicting the pathogenicity of genetic variants in non coding genomic regions. -- Modeling Student–Subject Interactions with GNNs for Grade Prediction. -- Deploying Vision Foundation AI Models on the Edge. The SAM2 Experience. -- Generative AI for Contextualizing Bronze Age Objects in Historical Scenes. -- G-TED SAM: Node Classification via Graph Transformer to Simple Attention Model Distillation. -- Expression Recognition in Faces Partially Occluded by Head-Mounted Displays. -- Reinforcement Learning for Mapless Navigation: Enhancing Exploration with Image-Based Rewards. -- Deep Learning Applied to Computer Vision, Healthcare and Robotics. -- Human Activity Recognition in the Classroom using Low-cost Sensors. -- Hybrid dropout for deep ordinal classification. -- Enhanced video-based eye status detection in term infants. -- Knee osteoarthritis severity grading using soft labelling and ordinal classification. -- Self-attentive bidirectional LSTM networks for temporal decoding of EEG motor states. -- Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation. -- MORENA: Empty images detection based on unsupervised reconstruction error analysis. -- Methodological framework for the creation of digital twins for photovoltaic power plants. -- Decoding Brain Lobe Contributions in EEG for automatic detection of obstructive sleep apnea. -- Emerging Methodologies in Time Series Forecasting. -- Forecasting Non-Stationary Time Series: A Comparison of Deep and Shallow Neural Network Architectures. -- Deep Learning or Trees? A Trade-off Analysis for Multivariate Time Series Forecasting. -- Hybrid AI Models for Structured Mobility Prediction in Metropolitan Areas. -- XAI for univariate and multivariate time series forecasting. A case study on electricity consumption in Romania’s National Electricity Network. -- Assessing bias in the evaluation of blood glucose prediction models.
Record Nr. UNISA-996691663403316
Rojas Ignacio  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Computational Intelligence [[electronic resource] ] : 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Advances in Computational Intelligence [[electronic resource] ] : 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Autore Rojas Ignacio
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (723 pages)
Disciplina 006.3
Altri autori (Persone) JoyaGonzalo
CatalaAndreu
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Bioinformatics
Computers
Computer Networks
Computer networks
Computer systems
Artificial Intelligence
Computational and Systems Biology
Computing Milieux
Computer Communication Networks
Computer System Implementation
ISBN 3-031-43085-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Advanced Topics in Computational Intelligence -- Advances in Artificial Neural Networks -- ANN HW-Accelerators -- Applications of Machine Learning in Biomedicine and Healthcare -- Applications of Machine Learning in Time Series Analysis.
Record Nr. UNISA-996552463803316
Rojas Ignacio  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Computational Intelligence : 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Advances in Computational Intelligence : 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
Autore Rojas Ignacio
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (723 pages)
Disciplina 006.3
Altri autori (Persone) JoyaGonzalo
CatalaAndreu
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Bioinformatics
Computers
Computer networks
Computer systems
Artificial Intelligence
Computational and Systems Biology
Computing Milieux
Computer Networks
Computer Communication Networks
Computer System Implementation
Xarxes neuronals (Informàtica)
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031430855
3031430859
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Advanced Topics in Computational Intelligence -- Advances in Artificial Neural Networks -- ANN HW-Accelerators -- Applications of Machine Learning in Biomedicine and Healthcare -- Applications of Machine Learning in Time Series Analysis.
Record Nr. UNINA-9910746954703321
Rojas Ignacio  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
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 Bioinformatics
Computers
Artificial intelligence
Computer networks
Computer systems
Computational and Systems Biology
Computing Milieux
Artificial Intelligence
Computer Networks
Computer Communication Networks
Computer System Implementation
Xarxes neuronals (Informàtica)
Ciències de la salut
Intel·ligència artificial en medicina
Aprenentatge automàtic
Programari d'aplicació
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031430787
3031430786
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
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
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui