Edizione	[1st ed. 2006.]
Pubbl/distr/stampa	Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica	1 online resource (CXXXIV, 1444 p.)
Disciplina	006.3/2
Collana	Theoretical Computer Science and General Issues
Soggetto topico	Artificial intelligence Computer science Computer networks Algorithms Computer science—Mathematics Discrete mathematics Pattern recognition systems Artificial Intelligence Theory of Computation Computer Communication Networks Discrete Mathematics in Computer Science Automated Pattern Recognition
ISBN	3-540-34440-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Neurobiological Analysis -- Theoretical Analysis -- Neurodynamic Optimization -- Learning Algorithms -- Model Design -- Kernel Methods -- ICA and BSS -- Data Preprocessing.
Record Nr.	UNISA-996465903003316

Autore	Rutkowski Leszek
Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (430 pages)
Disciplina	006.3
Altri autori (Persone)	SchererRafał KorytkowskiMarcin PedryczWitold TadeusiewiczRyszard ZuradaJacek M
Collana	Lecture Notes in Artificial Intelligence
Soggetto topico	Artificial intelligence Algorithms Computer networks Social sciences - Data processing Education - Data processing Artificial Intelligence Design and Analysis of Algorithms Computer Communication Networks Computer Application in Social and Behavioral Sciences Computers and Education
ISBN	3-031-42508-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Computer Vision, Image and Speech Analysis -- A novel ConvMixer transformer based architecture for violent behavior detection -- Speech Emotion Recognition: Recent Advances and Current Trends -- A Smartphone-Based Computer Vision Assistance System with Neural Network Depth Estimation for the Visually Impaired -- Hybrid Learning Model for Satellite Forest Image Segmentation -- Adaptive Pruning for Multi-Head Self-Attention -- Fast Visual Imperfection Detection When Real Negative Examples are Unavailable -- Vision-Based Mobile Robots Control Along a Given Trajectory -- Text Guided Facial Image Synthesis using StyleGAN and Variational Autoencoder trained CLIP -- Application of object detection models for the detection of kitchen furniture - A comparison -- Support Learning Vovinam Exercises based on Computer Vision -- Semantic Segmentation Neural Network in Automatic Weapon Detection -- Various Problems of Artificial Intelligence -- An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences -- Monte Carlo Tree Search with metaheuristics -- Phishing Attack Detection: An Improved Performance through Ensemble Learning -- Removing Ambiguity in Natural Language for Generating Self Join Queries -- Predicting Churn Rate in Companies -- Training set preparation for deep model learning inpatients with ischemic brain lesions and gender identity disorder -- From Simulated to Real Environments: Q-Learning for MAZENavigation of a TurtleBot -- Bioinformatics, Biometrics and Medical Applications -- 3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields -- Exploring target identification with K-nearest neighbors’ algorithm -- Computational models for COVID-19 dynamics prediction -- Electrochemical Biosensor Design through Data-Driven Modeling incorporating Meta-analysis and Big Data workflow -- A new method of verification of dynamic signatures changing over time with decomposition and selection of characteristic descriptors -- Impact of the pre-processing and balancing of EEG data on the performance of graph neural network for epileptic seizure classification -- A new rebinning reconstruction method for the low dose CT scanners with flying focal spot -- Data Mining and Pateern Classification -- Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems -- An experimental analysis on mapping strategies for cepstral coefficients multi-projection in voice spoofing detection problem -- Mining Correlated High-Utility Itemsets using the Cosine Measure -- Bayesian Inference in Infinite Multivariate McDonald’s Beta Mixture model -- Cannabis Use Estimators within Canadian Population using Social Media Based on Deep Learning Tools -- On the Bayesian interpretation of penalized statistical estimators -- Synthetic Data for Feature Selection -- ML Support For Conformity Checks in CMDB-Like Databases -- An Improvement of Graph Neural Network for Multi-behavior Recommendation -- Binary Matrix Factorization Discretization -- Combining linear classifiers using score function based on distance to decision boundar.
Record Nr.	UNISA-996550558603316

Edizione	[1st ed. 2019.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica	1 online resource (XXII, 712 p. 332 illus., 150 illus. in color.)
Disciplina	006.3
Collana	Lecture Notes in Artificial Intelligence
Soggetto topico	Artificial intelligence Optical data processing Special purpose computers Computer communication systems User interfaces (Computer systems) Artificial Intelligence Image Processing and Computer Vision Special Purpose and Application-Based Systems Computer Communication Networks User Interfaces and Human Computer Interaction
ISBN	3-030-20915-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Neural networks and their applications -- Fuzzy systems and their applications -- Evolutionary algorithms and their applications -- Pattern classification -- Artificial intelligence in modeling and simulation -- Computer vision, image and speech analysis -- Bioinformatics, biometrics, and medical applications -- Data mining -- Various problems of artificial intelligence -- Agent systems, robotics and control.
Record Nr.	UNISA-996466198203316

Autore	Rutkowski Leszek
Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (609 pages)
Disciplina	006.3
Altri autori (Persone)	SchererRafał KorytkowskiMarcin PedryczWitold TadeusiewiczRyszard ZuradaJacek M
Collana	Lecture Notes in Artificial Intelligence
Soggetto topico	Artificial intelligence Artificial Intelligence
ISBN	3-031-42505-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Neural Networks and Their Applications -- A novel approach to the GQR algorithm for neural networks training -- On Speeding Up the Levenberg-Marquardt Learning Algorithm -- Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes -- Multi-Agent Deep Q-Network in Voxel-based Automated Electrical Routing -- Evaluation of the importance of optimizer selection in streaming neural network learning -- Training Neural Tensor Networks With Corrupted Relations -- Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game -- Learning representations by crystallized back-propagating errors -- Fuzzy Hyperplane based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem -- Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly -- Transfer of knowledge among instruments in automatic music transcription -- The Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers -- An Interpretable Two-Layered Neural Network Structure – Based on Component-wise Reasoning -- Viscosity Estimation of Water-PVP Solutions from Droplets using Artificial Neural Networks and Image Processing -- Pruning convolutional filters via reinforcement learning with entropy minimization -- Unsupervised Representation Learning: Target Regularization for Cross-domain Sentiment Classification -- Decentralized federated learning loop with constrained trust mechanism -- Learning Activation Functions for Adversarial Attack Resilience in CNNs -- Federated Learning for Human Activity Recognition on the MHealth Dataset -- Image Classification through Graph Neural Networks and Random Walks -- Bus Route Classification for Rural Areas using Graph Convolutional Networks -- Expansion rate parametrization and K-Fold inference with U-Net neural networks for multiclass medical image segmentation -- Transfer learning from ImageNet to the domain of pigmented nevi -- Towards Detecting Freezing of Gait Events using Wearable Sensors and Genetic Programming -- CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to use Deep Learning -- Authorship Attribution of Literary Texts using Named Entity Masking and MaxLogit-based Sequence Classification for Varying Text Lengths -- Gates Are Not What You Need in RNNs -- Generating Image Captions in Polish using Transformer Architecture -- Evolutionary Algorithms and Their Applications -- An hybrid NSGA-II algorithm for the Bi-objective Mobile Mammography Unit Routing Problem -- Controlled Refresh of the Population in Differential Evolution for Real-World Problems -- A new Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism -- Data Mining Car Configurator Clickstream Data to Identify Potential Consumers: A Genetic Algorithm Approach -- Multi-population algorithm using surrogate models and different training plans -- Multi-population-based algorithms with different migration topologies and their improvement by population re-initialization -- Machine Learning Assisted Interactive Multi-Objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects . -- Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems -- Evolutionary-based generative design for electric transmission towers -- Enhanced Grey Wolf Optimizer -- Artificial Intelligence in Modeling and Simulation -- Security Intelligence for real-time security monitoring software -- Examine Effects of Class Imbalance on Conditional GAN Training -- Stochastic Model for Wildfire Simulation based on the characteristics of the Brazilian Cerrado -- Test Case Generator for Problems of Complete Coverage and Path Planning for Emergency Response by UAVs -- Application of artificial neural networks in electric arc furnace modeling -- Profiling users of the online store in terms of price sensitivity . -- Learning Bezier-Durrmeyer type descriptors for classifying curves – preliminary studies -- Prediction accuracy of direction changes with ELM, MLP and LSTM on the example of exchange rates -- Child tracking and Prediction of Violence on Children in social media using Natural Language Processing and Machine Learning -- Adequate basis for the data-driven and machine-learning-based identification.
Record Nr.	UNISA-996550558003316

Autore	Rutkowski Leszek
Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (609 pages)
Disciplina	006.3
Altri autori (Persone)	SchererRafał KorytkowskiMarcin PedryczWitold TadeusiewiczRyszard ZuradaJacek M
Collana	Lecture Notes in Artificial Intelligence
Soggetto topico	Artificial intelligence Artificial Intelligence
ISBN	3-031-42505-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Neural Networks and Their Applications -- A novel approach to the GQR algorithm for neural networks training -- On Speeding Up the Levenberg-Marquardt Learning Algorithm -- Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes -- Multi-Agent Deep Q-Network in Voxel-based Automated Electrical Routing -- Evaluation of the importance of optimizer selection in streaming neural network learning -- Training Neural Tensor Networks With Corrupted Relations -- Application of Monte Carlo Algorithms with Neural Network-Based Intermediate Area to the Thousand Card Game -- Learning representations by crystallized back-propagating errors -- Fuzzy Hyperplane based K-SVCR Multi-class Classification with Its Applications to Stock Prediction Problem -- Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly -- Transfer of knowledge among instruments in automatic music transcription -- The Geometry of Decision Borders Between Affine Space Prototypes for Nearest Prototype Classifiers -- An Interpretable Two-Layered Neural Network Structure – Based on Component-wise Reasoning -- Viscosity Estimation of Water-PVP Solutions from Droplets using Artificial Neural Networks and Image Processing -- Pruning convolutional filters via reinforcement learning with entropy minimization -- Unsupervised Representation Learning: Target Regularization for Cross-domain Sentiment Classification -- Decentralized federated learning loop with constrained trust mechanism -- Learning Activation Functions for Adversarial Attack Resilience in CNNs -- Federated Learning for Human Activity Recognition on the MHealth Dataset -- Image Classification through Graph Neural Networks and Random Walks -- Bus Route Classification for Rural Areas using Graph Convolutional Networks -- Expansion rate parametrization and K-Fold inference with U-Net neural networks for multiclass medical image segmentation -- Transfer learning from ImageNet to the domain of pigmented nevi -- Towards Detecting Freezing of Gait Events using Wearable Sensors and Genetic Programming -- CNN-LSTM Optimized by Genetic Algorithm in Time Series Forecasting: An Automatic Method to use Deep Learning -- Authorship Attribution of Literary Texts using Named Entity Masking and MaxLogit-based Sequence Classification for Varying Text Lengths -- Gates Are Not What You Need in RNNs -- Generating Image Captions in Polish using Transformer Architecture -- Evolutionary Algorithms and Their Applications -- An hybrid NSGA-II algorithm for the Bi-objective Mobile Mammography Unit Routing Problem -- Controlled Refresh of the Population in Differential Evolution for Real-World Problems -- A new Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism -- Data Mining Car Configurator Clickstream Data to Identify Potential Consumers: A Genetic Algorithm Approach -- Multi-population algorithm using surrogate models and different training plans -- Multi-population-based algorithms with different migration topologies and their improvement by population re-initialization -- Machine Learning Assisted Interactive Multi-Objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects . -- Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems -- Evolutionary-based generative design for electric transmission towers -- Enhanced Grey Wolf Optimizer -- Artificial Intelligence in Modeling and Simulation -- Security Intelligence for real-time security monitoring software -- Examine Effects of Class Imbalance on Conditional GAN Training -- Stochastic Model for Wildfire Simulation based on the characteristics of the Brazilian Cerrado -- Test Case Generator for Problems of Complete Coverage and Path Planning for Emergency Response by UAVs -- Application of artificial neural networks in electric arc furnace modeling -- Profiling users of the online store in terms of price sensitivity . -- Learning Bezier-Durrmeyer type descriptors for classifying curves – preliminary studies -- Prediction accuracy of direction changes with ELM, MLP and LSTM on the example of exchange rates -- Child tracking and Prediction of Violence on Children in social media using Natural Language Processing and Machine Learning -- Adequate basis for the data-driven and machine-learning-based identification.
Record Nr.	UNINA-9910746091103321