Artificial Intelligence and Soft Computing
portes grátis
Artificial Intelligence and Soft Computing
21st International Conference, ICAISC 2022, Zakopane, Poland, June 19-23, 2022, Proceedings, Part I
Tadeusiewicz, Ryszard; Rutkowski, Leszek; Zurada, Jacek M.; Pedrycz, Witold; Korytkowski, Marcin; Scherer, Rafal
Springer International Publishing AG
01/2023
439
Mole
Inglês
9783031234910
15 a 20 dias
700
Descrição não disponível.
?Neural Networks and Their Applications.- A fast learning algorithm for the multilayer neural network.- A new computational approach to the Levenberg-Marquardt learning algorithm.- Training subjective perception biased images of vehicle ambient lights with deep belief networks using backpropagation- and enforcing-rules supervised.- An Empirical Study of Adversarial Domain Adaptation on Time Series Data.- Human-AI-Collaboration to increase the perception of VR.- Portfolio Transformer for Attention-Based Asset Allocation.- Transfer Learning with Deep Neural Embeddings for Music Classification Tasks.- Analysis and detection of DDoS Backscatter using NetFlow data, hyperband-optimised DeepLearning and explainability techniques.- BiLSTM deep learning model for heart problems detection.- Short Texts Representations for Legal Domain Classification.- Synthetic slowness shear well-logs prediction using supervised machine learning models.- ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction.- Multi-objective Bayesian Optimization for Neural Architecture Search.- Multilayer Perceptrons with Banach-like Perceptrons Based on Semi-Inner Products - About Approximation Completeness.- Fuzzy Systems and Their Applications.- Similarity Fuzzy Semantic Networks and Inference. An application to analysis of radical discourse in Twitter.- An Application of Information Granules to Detect Anomalies in COVID-19 Reports.- Type-2 fuzzy classifier with smooth type-reduction.- Evolutionary Algorithms and Their Applications.- A multi-population-based algorithm with different ways of subpopulations cooperation.- Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics.- Evolutionary Approach to Melodic Line Harmonization.- Using Automatic Programming toImprove Gradient Boosting for Classification.- Forced Movement Extensions of the Particle Swarm Optimizers with Inertia Weight.- LQ-R-SHADE: R-SHADE with quadratic surrogate model.- Pattern Classification.- Overload Monitoring System Using Sound Analysis for Electrical Machines.- Employing Convolutional Neural Networks for Continual Learning.- Explaining Machine Learning Predictions In Botnet Detection.- Learning Functional Descriptors Based on the Bernstein Polynomials - Preliminary Studies.- Artificial Intelligence in Modeling and Simulation.- Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies.- A Heuristic Repair Algorithm for the Hospitals/Residents problem with Ties.- The Impact of Data Preprocessing on Prediction Effectiveness.- Convergence of RBF Networks Regression Function Estimates and Classifiers.- A Comparative Study of Genetic Programming Variants.- Optimization of Parameterized Behavior Trees in RTS Games.- Using Answer Set Programming to Improve Sensor Network Lifetime.- Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Random Decision Forests.- Validation of Labelling Algorithms for Abstract Argumentation Frameworks: The Case of Listing Stable Extensions.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
algorithmic game theory and mechanism design;artificial intelligence;computer networks;computer vision;correlation analysis;databases;deep learning;evolutionary algorithms;genetic algorithms;knowledge representation and reasoning;learning;machine learning;network protocols;neural networks;optimization;parallel algorithms;semantics and reasoning;signal processing
?Neural Networks and Their Applications.- A fast learning algorithm for the multilayer neural network.- A new computational approach to the Levenberg-Marquardt learning algorithm.- Training subjective perception biased images of vehicle ambient lights with deep belief networks using backpropagation- and enforcing-rules supervised.- An Empirical Study of Adversarial Domain Adaptation on Time Series Data.- Human-AI-Collaboration to increase the perception of VR.- Portfolio Transformer for Attention-Based Asset Allocation.- Transfer Learning with Deep Neural Embeddings for Music Classification Tasks.- Analysis and detection of DDoS Backscatter using NetFlow data, hyperband-optimised DeepLearning and explainability techniques.- BiLSTM deep learning model for heart problems detection.- Short Texts Representations for Legal Domain Classification.- Synthetic slowness shear well-logs prediction using supervised machine learning models.- ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction.- Multi-objective Bayesian Optimization for Neural Architecture Search.- Multilayer Perceptrons with Banach-like Perceptrons Based on Semi-Inner Products - About Approximation Completeness.- Fuzzy Systems and Their Applications.- Similarity Fuzzy Semantic Networks and Inference. An application to analysis of radical discourse in Twitter.- An Application of Information Granules to Detect Anomalies in COVID-19 Reports.- Type-2 fuzzy classifier with smooth type-reduction.- Evolutionary Algorithms and Their Applications.- A multi-population-based algorithm with different ways of subpopulations cooperation.- Automated Design of Dynamic Heuristic Set Selection for Cross-Domain Selection Hyper-Heuristics.- Evolutionary Approach to Melodic Line Harmonization.- Using Automatic Programming toImprove Gradient Boosting for Classification.- Forced Movement Extensions of the Particle Swarm Optimizers with Inertia Weight.- LQ-R-SHADE: R-SHADE with quadratic surrogate model.- Pattern Classification.- Overload Monitoring System Using Sound Analysis for Electrical Machines.- Employing Convolutional Neural Networks for Continual Learning.- Explaining Machine Learning Predictions In Botnet Detection.- Learning Functional Descriptors Based on the Bernstein Polynomials - Preliminary Studies.- Artificial Intelligence in Modeling and Simulation.- Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies.- A Heuristic Repair Algorithm for the Hospitals/Residents problem with Ties.- The Impact of Data Preprocessing on Prediction Effectiveness.- Convergence of RBF Networks Regression Function Estimates and Classifiers.- A Comparative Study of Genetic Programming Variants.- Optimization of Parameterized Behavior Trees in RTS Games.- Using Answer Set Programming to Improve Sensor Network Lifetime.- Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Random Decision Forests.- Validation of Labelling Algorithms for Abstract Argumentation Frameworks: The Case of Listing Stable Extensions.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
algorithmic game theory and mechanism design;artificial intelligence;computer networks;computer vision;correlation analysis;databases;deep learning;evolutionary algorithms;genetic algorithms;knowledge representation and reasoning;learning;machine learning;network protocols;neural networks;optimization;parallel algorithms;semantics and reasoning;signal processing
