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Deep Learning Theory and Applications [[electronic resource] ] : 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings / / edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone
Deep Learning Theory and Applications [[electronic resource] ] : 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings / / edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone
Autore Conte Donatello
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (496 pages)
Disciplina 006.3
Altri autori (Persone) FredAna
GusikhinOleg
SansoneCarlo
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Application software
Data mining
Computers
Natural language processing (Computer science)
Artificial Intelligence
Machine Learning
Computer and Information Systems Applications
Data Mining and Knowledge Discovery
Computing Milieux
Natural Language Processing (NLP)
ISBN 3-031-39059-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pervasive AI: (deep) Learning into the Wild -- Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies -- Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost -- Improving Primate Sounds Classification Using Binary Presorting for Deep Learning -- Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes -- Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach -- A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection -- An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven -- Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight -- Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition -- Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch -- A Study of Neural Collapse for Text Classification -- Research Data Reusability with Content-Based Recommender System -- MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos -- A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data -- Explaining Relation Classification Models with Semantic Extents -- Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts -- Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions -- ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP -- Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language -- Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models -- Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels -- TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity -- Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application -- An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning -- UMLDesigner: An Automatic UML Diagram Design Tool -- Graph Neural Networks for Circuit Diagram Pattern Generation -- Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets -- A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems -- GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation -- Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes -- FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes -- CSR & Sentiment Analysis: A New Customized Dictionary.
Record Nr. UNISA-996547971403316
Conte Donatello  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications : 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings / / edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone
Deep Learning Theory and Applications : 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, Proceedings / / edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone
Autore Conte Donatello
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (496 pages)
Disciplina 006.3
006.31
Altri autori (Persone) FredAna
GusikhinOleg
SansoneCarlo
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Application software
Data mining
Computers
Natural language processing (Computer science)
Artificial Intelligence
Machine Learning
Computer and Information Systems Applications
Data Mining and Knowledge Discovery
Computing Milieux
Natural Language Processing (NLP)
ISBN 3-031-39059-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pervasive AI: (deep) Learning into the Wild -- Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies -- Synthetic Network Traffic Data Generation and Classification of Advanced Persistent Threat Samples: A Case Study with GANs and XGBoost -- Improving Primate Sounds Classification Using Binary Presorting for Deep Learning -- Towards Exploring Adversarial Learning for Anomaly Detection in Complex Driving Scenes -- Dynamic Prediction of Survival Status in Patients Undergoing Cardiac Catheterization Using a Joint Modeling Approach -- A Machine Learning Framework for Shuttlecock Tracking and Player Service Fault Detection -- An Automated Dual-Module Pipeline for Stock Prediction: Integrating N-Perception Period Power Strategy and NLP-Driven -- Sentiment Analysis for Enhanced Forecasting Accuracy and Investor Insight -- Machine Learning Applied to Speech Recordings for Parkinson’s Disease Recognition -- Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-Trained Networks vs. Training from Scratch -- A Study of Neural Collapse for Text Classification -- Research Data Reusability with Content-Based Recommender System -- MSDeepNet: A Novel Multi-Stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos -- A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data -- Explaining Relation Classification Models with Semantic Extents -- Phoneme-Based Multi-Task Assessment of Affective Vocal Bursts -- Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions -- ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP -- Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language -- Facilitating Enterprise Model Classification via Embedding Symbolic Knowledge into Neural Network Models -- Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels -- TaxoSBERT: Unsupervised Taxonomy Expansion Through Expressive Semantic Similarity -- Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application -- An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning -- UMLDesigner: An Automatic UML Diagram Design Tool -- Graph Neural Networks for Circuit Diagram Pattern Generation -- Generative Adversarial Networks for Domain Translation in Unpaired Breast DCE-MRI Datasets -- A Survey on Reinforcement Learning and Deep Reinforcement Learning for Recommender Systems -- GAN-Powered Model&Landmark-Free Reconstruction: A Versatile Approach for High-Quality 3D Facial and Object Recovery from Single Images.-GAN-Based LiDAR Intensity Simulation -- Evaluating Prototypes and Criticisms for Explaining Clustered Contributions in Digital Public Participation Processes -- FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes -- CSR & Sentiment Analysis: A New Customized Dictionary.
Record Nr. UNINA-9910736017403321
Conte Donatello  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications : 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part II / / edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
Deep Learning Theory and Applications : 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part II / / edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
Autore Fred Ana
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (404 pages)
Disciplina 006.3
Altri autori (Persone) HadjaliAllel
GusikhinOleg
SansoneCarlo
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Application software
Data mining
Natural language processing (Computer science)
Artificial Intelligence
Machine Learning
Computer and Information Systems Applications
Data Mining and Knowledge Discovery
Natural Language Processing (NLP)
ISBN 9783031667053
9783031667046
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Geometrical Realization for Time Series Forecasting -- Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute -- Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks -- Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes -- Pollutant Source Localization Based on Siamese Neural Network Similarity Measure -- Automatic Emotion Analysis in Movies: Matteo Garrone’s Dogman as a Case Study -- Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection -- Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification -- Automating the Conducting of Surveys Using Large Language Models -- Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0 -- Self-Supervised Learning for Robust Surface Defect Detection -- Efficient Deep Neural Network Verification with QAP-Based zkSNARK -- Version 8 of YOLO for Wildfire Detection -- Investigating a Semantic Similarity Loss Function for the Parallel Training of Abstractive and Extractive Scientific Document Summarizers -- Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing -- Skin Cancer Classification: A Comparison of CNN-Backbones for Feature-Extraction -- Multilingual Detection of Cyberbullying on Social Networks Using a Fine-Tuned GPT-3.5 Model -- Detecting Big-5 Personality Dimensions from Text Based on Large Language Models -- ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds -- BitNet b1.58 Reloaded: State-of-the-Art Performance Also on Smaller Networks -- Deep Learning for Cattle Face Identification -- OBBabyFace: Oriented Bounding Box for Infant Face Detection -- EEG-Based Patient Independent Epileptic Seizure Detection Using GCN-BRF -- Predicting Components of a Target Value Versus Predicting the Target Value Directly.
Record Nr. UNINA-9910882893203321
Fred Ana  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications : 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I / / edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
Deep Learning Theory and Applications : 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I / / edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone
Autore Fred Ana
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (382 pages)
Disciplina 006.3
Altri autori (Persone) HadjaliAllel
GusikhinOleg
SansoneCarlo
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Application software
Data mining
Natural language processing (Computer science)
Artificial Intelligence
Machine Learning
Computer and Information Systems Applications
Data Mining and Knowledge Discovery
Natural Language Processing (NLP)
ISBN 9783031666940
9783031666933
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Deep Learning for Wearable Biometrics -- A Deep Learning-Based Plant Disease Detection and Classification for Arabica Coffee Leaves -- CNN-N-BEATS: Novel Hybrid Model for Time-Series Forecasting -- Development and Applications of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for Aerial Navigation -- Towards Natural-Sounding Speech to Text in English -- Scoping Review of Active Learning Strategies and Their Evaluation Environments for Entity Recognition Tasks -- Solar Activity Impact on Firefighter Interventions: Factors Analysis -- Detecting Flow via a Machine Learning Model in a MOOC Context -- Online Job Posting Authenticity Prediction with Machine and Deep Learning: Performance Comparison Between N-Gram and TF-IDF -- Evolving Deep Architectures: A New Blend of CNNs and Transformers Without Pre-Training Dependencies.-Closing the Sim-to-Real Gap: Enhancing Autonomous Precision Landing of UAVs with Detection-Informed Deep Reinforcement Learning -- Mitigating Class Imbalance in Healthcare AI Image Classification: Evaluating the Efficacy of Existing Generative Adversarial Network -- More than Noise: Assessing the Viscosity of Food Products Based on Sound Emission -- Vector Analysis of Deep Neural Network Training Process -- Secure Coalition Formation for Federated Machine Learning -- Action Conditioned Attention Encoder-Decoder and Discriminator for Human Motion Generation -- Citation Polarity Identification in Scientific Research Articles Using Deep Learning Methods -- Exploring Physiology-Based Classification of Flow During Musical Improvisation in Mixed Reality -- Refining Weights for Enhanced Object Similarity in Multi-Perspective 6D of Pose Estimation and 3D Object Detection -- End-to-End Video Surveillance Framework for Anomaly Detection and Person Re-Identification -- Few-Shot Learning with Novelty Detection.
Record Nr. UNINA-9910881097303321
Fred Ana  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications [[electronic resource] ] : First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7–9, 2021, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Kurosh Madani
Deep Learning Theory and Applications [[electronic resource] ] : First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7–9, 2021, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Kurosh Madani
Autore Fred Ana
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (163 pages)
Disciplina 006.3
Altri autori (Persone) SansoneCarlo
MadaniKurosh
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer systems
Computer networks
Computer science—Mathematics
Artificial Intelligence
Computer System Implementation
Computer Communication Networks
Mathematics of Computing
ISBN 3-031-37320-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning -- Multi-stage Conditional GAN Architectures for Person-image Generation -- Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment -- Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks -- Forecasting the UN Sustainable Development Goals -- Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement -- Crack Detection on Brick Walls by Convolutional Neural Networks using the Methods of Sub-Dataset Generation and Matching.
Record Nr. UNISA-996546829503316
Fred Ana  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications [[electronic resource] ] : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani
Deep Learning Theory and Applications [[electronic resource] ] : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani
Autore Fred Ana
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (130 pages)
Disciplina 006.3
Altri autori (Persone) SansoneCarlo
GusikhinOleg
MadaniKurosh
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer systems
Computer networks
Computer science—Mathematics
Artificial Intelligence
Computer System Implementation
Computer Communication Networks
Mathematics of Computing
ISBN 3-031-37317-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding -- Active Collection of Well-being and Health Data in Mobile Devices -- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs -- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data -- Convolutional Neural Networks for Structural Damage Localization on Digital Twins -- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences.
Record Nr. UNISA-996546836003316
Fred Ana  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani
Deep Learning Theory and Applications : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12–14, 2022, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani
Autore Fred Ana
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (130 pages)
Disciplina 006.3
Altri autori (Persone) SansoneCarlo
GusikhinOleg
MadaniKurosh
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer systems
Computer networks
Computer science - Mathematics
Artificial Intelligence
Computer System Implementation
Computer Communication Networks
Mathematics of Computing
ISBN 3-031-37317-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding -- Active Collection of Well-being and Health Data in Mobile Devices -- Reliable Classification of Images by Calculating Their Credibility using a Layer-wise Activation Cluster Analysis of CNNs -- Trac Sign Repositories: Bridging the Gap between Real and Synthetic Data -- Convolutional Neural Networks for Structural Damage Localization on Digital Twins -- Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences.
Record Nr. UNINA-9910734874903321
Fred Ana  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications : First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7–9, 2021, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Kurosh Madani
Deep Learning Theory and Applications : First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7–9, 2021, Revised Selected Papers / / edited by Ana Fred, Carlo Sansone, Kurosh Madani
Autore Fred Ana
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (163 pages)
Disciplina 006.3
006.31
Altri autori (Persone) SansoneCarlo
MadaniKurosh
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer systems
Computer networks
Computer science - Mathematics
Artificial Intelligence
Computer System Implementation
Computer Communication Networks
Mathematics of Computing
ISBN 3-031-37320-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning -- Multi-stage Conditional GAN Architectures for Person-image Generation -- Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment -- Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks -- Forecasting the UN Sustainable Development Goals -- Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement -- Crack Detection on Brick Walls by Convolutional Neural Networks using the Methods of Sub-Dataset Generation and Matching.
Record Nr. UNINA-9910734891003321
Fred Ana  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning Theory and Applications : 6th International Conference, DeLTA 2025, Bilbao, Spain, June 12–13, 2025, Proceedings / / edited by Allel Hadjali, Emanuele Maiorana, Oleg Gusikhin, Carlo Sansone
Deep Learning Theory and Applications : 6th International Conference, DeLTA 2025, Bilbao, Spain, June 12–13, 2025, Proceedings / / edited by Allel Hadjali, Emanuele Maiorana, Oleg Gusikhin, Carlo Sansone
Autore Hadjali Allel
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (525 pages)
Disciplina 006.31
Altri autori (Persone) MaioranaEmanuele
GusikhinOleg
SansoneCarlo
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Application software
Data mining
Natural language processing (Computer science)
Artificial Intelligence
Machine Learning
Computer and Information Systems Applications
Data Mining and Knowledge Discovery
Natural Language Processing (NLP)
ISBN 3-032-04339-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- End-to-End ASR Model with Iterative Attention Mechanism Enhanced RNN Model for Phoneme Recognition. -- Diagnostic Trouble Codes Prediction with DTC-GOAT and Ensembles. -- A Fast Fourier Transform-Aided Diffusion-Based U-Net Architecture for Microscopic Medical Image Segmentation. -- Non-Cooperative Game Theory-Aided Learning of CNN Models for Skin Lesion Classification. -- LoRA-Based Summarization of Data Privacy Clauses in Terms and Conditions Documents Aligned with India’s 2023 Digital Personal Data Protection Act. -- Comparison of AI Speech-to-Text Systems and Their Application in Artillery Command and Fire Control Systems. -- Rhythm Fusion: Synchronizing Audio and Motion Features for Music-Driven Dance Generation. -- Leveraging Synthetic Data for Deep-Learning-Based Road Crack Segmentation from UAV Imagery. -- Trojan Vulnerabilities in Host-Based Intrusion Detection Systems. -- Identification of Key Feature Interactions via PDP Decomposition. -- Variational Mode Decomposition (VMD) Parameter Selection Using Sine-Cosine Algorithm (SCA): Application on Vibration Signals for Rotating Machinery Monitoring. -- Forecasting Ethereum Prices with Machine Learning, Deep Learning, and Explainable Artificial Intelligence Using Multi-Source Market Articles and Hybrid Sentiment Analysis. -- Application of Neural Networks to Ultrasonic Data for Discrimination of Fat Types in Muscle Tissue Models. -- SwiNight: Class Imbalanced Night-Time Accident Detection with Swin Transformer. -- Enhancing Off-Policy Method SAC with KAN for Continuous Reinforcement Learning. -- Context-Aware Deep Learning for Longitudinal Data Imputation in Parkinson’s Disease. -- Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design. -- Achieving Zero False Negatives: Optimizing Anomaly Detection with Genetic Neural Architecture Search. -- Whisper-Conformer: A Modified Automatic Speech Recognition for Thai Speech Recognition. -- RevCD: Reversed Conditional Diffusion for Generalized Zero-Shot Learning. -- Toward an Explainable Heatmap-Based Deep Neural Network for Product Defect Classification and Machine Failure Prediction in Industry 4.0. -- Question Answering in a Low-Resource Language: Dataset and Deep Learning Adaptations for Sinhala.
Record Nr. UNINA-9911035050703321
Hadjali Allel  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Image Analysis and Processing -- ICIAP 2009 [[electronic resource] ] : 15th International Conference Vietri sul Mare, Italy, September 8-11, 2009 Proceedings / / edited by Pasquale Foggia, Carlo Sansone, Mario Vento
Image Analysis and Processing -- ICIAP 2009 [[electronic resource] ] : 15th International Conference Vietri sul Mare, Italy, September 8-11, 2009 Proceedings / / edited by Pasquale Foggia, Carlo Sansone, Mario Vento
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XX, 1056 p.)
Disciplina 006.42
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Artificial intelligence
Computer graphics
Algorithms
Image Processing and Computer Vision
Pattern Recognition
Artificial Intelligence
Computer Graphics
Algorithm Analysis and Problem Complexity
ISBN 3-642-04146-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talks -- Contest Session -- Computer Graphics and Image Processing -- Low and Middle Level Processing -- 2D and 3D Segmentation -- Feature Extraction and Image Analysis -- Object Detection and Recognition -- Video Analysis and Processing -- Pattern Analysis and Classification -- Learning -- Graphs and Trees -- Applications -- Shape Analysis -- Face Analysis -- Medical Imaging -- Image Analysis and Pattern Recognition.
Record Nr. UNISA-996465287803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui

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