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MARC Lista (tabellare)
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (578 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
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843563
3031843568
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- I Evolutionary Algorithms and Their Applications. -- MI-DAUKF for Co-Estimation of SOC and SOH in Lithium-ion Batteries. -- Hybridising Genetic Programming Variants for Regression. -- Evolving Velocity Equations for Particle Swarm Optimisation for Function Approximation. -- A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions. -- Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders. -- Automated Design of Multilevel Thresholding using Differential Evolution. -- II Artificial Intelligence in Modeling and Simulation. -- AI-based IoT System for Energy Forecasting and Load Management in Smart Grid. -- Learning Optimal Bidding Strategies in All-Pay Auctions. -- On Handling AI Tasks in CPU with Low Latency and High Performance. -- Utilizing Evolutionary Algorithms for the Synthesis of Cryptographic Substitution Patterns. -- Advanced Steganography in 3D Models: An AI-Powered Approach. -- A Novel Approach to Cancelable Biometrics through Deep Learning Distortion Metrics. -- More individualized survival function estimation using training data clustering. -- Automated Typographic Font Generation Using Artificial Intelligence. -- Model of generative adversarial neural network for font style generation within the original style. -- Eigenmaps - modified PCA-based approach for dimensionality reduction of multivariate time series of geospatial data. -- Evaluation of Dermatological Asymmetry Measure of Shape by Expectation-Maximization. -- Embedding Non-Distortive Cancelable Face Template Generation. -- III Computer Vision, Image and Speech Analysis. -- Dimensionality reduction in multicepstral features for voice spoofing detection: case studies with singular value decomposition, genetic algorithm, and auto-encoder. -- InpaintLocalizer: Detection and Localization of Inpainting Generated by Diffusion-based Machine Learning Models. -- Combining Audio and Image Sequence for Video Moment Retrieval by Natural Language. -- Robust Scale Estimation System for Monocular Mobile Robots using Beacon-based Structure from Motion. -- Explainable Recognition System for Computer-Modified Face Photos. -- Implementing call bots: An architectural guide. -- Identification of mislabelled images with data augmentation. -- Viscosity Estimation in Water-PVP Solutions Through Droplet Image Analysis Using a MobileNet-Enhanced CNN. -- Dynamic Layer Extraction for Floor Plan Generation from Point Clouds. -- Bleeding detection in medical images based on correlation fractional dimension adaptive thresholding. -- Knee or ROC. -- Enhanced Dermatological Asymmetry Measure of Skin Lesions using PCA Method. -- Transformer Based Semantic Segmentation Network for Medical Imaging Application.
Record Nr. UNINA-9910983079203321
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (568 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
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843532
3031843533
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Neural Networks and Their Applications. -- Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load. -- Practical considerations in implementing neural network training with vector instructions. -- Utilizing Pointer Generator Network for Vietnamese Spelling Error Correction. -- Assessing generalization capability of text ranking models in Polish. -- Advancing GDPR Adherence: Leveraging Generative AI for In-Depth Privacy Policy Analysis in Android Apps. -- Speedup of training deep neural networks in the streaming approach using genetic algorithms with an application of drift detection. -- The Use of Synthetic Data in the Development of a Webshop User Profiling System. -- Fuzzy Hyperplane based Least Squares K-SVCR with Its Applications to Stock Trend Classification. -- Stock Movement Prediction by Using a Multi-Tasks Multi-Kernel Fuzzy Support Vector Machine with Parametric Margin. -- Graph-based Dialog Structure Modeling. -- Distracted driver recognition using CNN with dual self-attention module. -- Complex-Valued Restricted Boltzmann Machines for Learning Image Data Distributions. -- On Method of Training of LSTM Neural Network Based on Stability Conditions. -- Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Drone Engine Failures Detection. -- Researching ML Algorithms for Predicting FHB in Corn: A Case Study in Dnipro Region of Ukraine. -- Investigating HuBERT-based Speech Emotion Recognition Generalisation Capability. -- Comparison of Hyperparameter Tuning Optimization Methods for LSTM and Stock Price Prediction. -- Detecting and Warning Duplicate Job Postings on Job Portals. -- Randomness Versus Backpropagation in Machine Learning . -- Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. -- Personality of AI. -- Crossing the Divide: Designing Layers of Explainability. -- Pattern Classification. -- Empowering Intelligent Database Systems Using an Adaptive Recommendation Algorithm. -- Hancrafted vs. Non-handcrafted features for acoustic scene classification. -- Effective High Utility Itemsets Mining Algorithm for Incremental Databases. -- Machine Learning for Gesture Recognition using Leap Motion Controller. -- Sun Magnetogram Search by Circle Sector Histograms and LSH. -- Enhancing Semantic Search through Domain Adaptation: A Case Study on the Mobifone News Dataset. -- Improving Anomaly Detection Methods Through Attribute Exclusion Using Isolation Forest. -- Classifier Ensemble Learning using Discrete Optimization. -- Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. -- An Efficient Clique-based Level-wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining.
Record Nr. UNINA-9910983035703321
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (581 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
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031815966
3031815963
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Various Problems of Artificial Intelligence. -- Agent-Based Model for Field Service Management. -- Evaluating policy effectiveness to enhance smart farming technologies adoption using fuzzy logic and Sugeno integral. -- Functional based fuzzy logic query library. -- Automatic Program Assessment, Grading and Code Generation: Possible AI-Support in a Software Development Course. -- Computer Network User Profiling using Firewall Logs and ANFIS-based Hybrid Systems. -- Different Approaches for Customer Lifetime Value in e-Book Subscription Domain. -- Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via Twitter. -- Memory Augmented Multi-Agent Reinforcement Learning for Cooperative Environment. -- The use of fuzzy sets in the classification of metagenomic data. -- Speech deepfake recognition with data-efficient vision transformers. -- Explainable Cubic Attention-based Autoencoder for Skin Cancer Classification. -- A Study of Classifiers for Marking Short Answers in Intelligent Tutoring Systems. -- Ontology-based rare disease database integration - practical issues and challenges. -- A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models PreTraining. -- A Hybrid Approach towards Vertical Handover in 5G Networks using Genetic Neuro-Fuzzy Controller. -- Swarm Optimization for Enhanced Random Forest-Based IoT Security. -- PV solar power forecasting using a subset of characteristic features selected by AI methods. -- Pain intensity assessment using Recurrent Neural Networks. -- Improving YOLOv8: An Algorithm Based on EfficientRepHead and BIFPN. -- T-REX: Trustworthy and Reliable EXplainability Framework. -- Bioinformatics, Biometrics and Medical Applications. -- Multi-Label Long-Tailed Disease Recognition on Chest X-ray Images. -- Myo-to-Gesture: Evolving AI-Based Innovations in Myoelectric Signal Processing – State-of-the-Art Survey and Research Proposal. -- A new image enhancement-based framework for spoofing detection in ear-based biometric authentication systems. -- From Omics Data to Candidate Genes: An Innovative Machine Learning Approach for Biomarker Identification. -- Machine Learning-Based Tool for Efficient Discrimination Between Deleterious and Neutral Missense Mutations. -- Classification of cardiac arrhythmias using 1D and 2D convolutional neural networks. -- Can algorithms used in automatic preprocessing affect the final value of brain volume? - preliminary study. -- Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris Recognition CNN Approach. -- Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction in OCT Images. -- Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot. -- Biometric iris authentication using a segmentation network with attention and a key-points detection algorithm. -- Polyps Segmentation in Colonoscopy Images using SegFormer Transformer. -- Wavelet feature extraction for dermoscopy images by tree-like wrappers.
Record Nr. UNINA-9910983066903321
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (578 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
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843563
3031843568
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- I Evolutionary Algorithms and Their Applications. -- MI-DAUKF for Co-Estimation of SOC and SOH in Lithium-ion Batteries. -- Hybridising Genetic Programming Variants for Regression. -- Evolving Velocity Equations for Particle Swarm Optimisation for Function Approximation. -- A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions. -- Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders. -- Automated Design of Multilevel Thresholding using Differential Evolution. -- II Artificial Intelligence in Modeling and Simulation. -- AI-based IoT System for Energy Forecasting and Load Management in Smart Grid. -- Learning Optimal Bidding Strategies in All-Pay Auctions. -- On Handling AI Tasks in CPU with Low Latency and High Performance. -- Utilizing Evolutionary Algorithms for the Synthesis of Cryptographic Substitution Patterns. -- Advanced Steganography in 3D Models: An AI-Powered Approach. -- A Novel Approach to Cancelable Biometrics through Deep Learning Distortion Metrics. -- More individualized survival function estimation using training data clustering. -- Automated Typographic Font Generation Using Artificial Intelligence. -- Model of generative adversarial neural network for font style generation within the original style. -- Eigenmaps - modified PCA-based approach for dimensionality reduction of multivariate time series of geospatial data. -- Evaluation of Dermatological Asymmetry Measure of Shape by Expectation-Maximization. -- Embedding Non-Distortive Cancelable Face Template Generation. -- III Computer Vision, Image and Speech Analysis. -- Dimensionality reduction in multicepstral features for voice spoofing detection: case studies with singular value decomposition, genetic algorithm, and auto-encoder. -- InpaintLocalizer: Detection and Localization of Inpainting Generated by Diffusion-based Machine Learning Models. -- Combining Audio and Image Sequence for Video Moment Retrieval by Natural Language. -- Robust Scale Estimation System for Monocular Mobile Robots using Beacon-based Structure from Motion. -- Explainable Recognition System for Computer-Modified Face Photos. -- Implementing call bots: An architectural guide. -- Identification of mislabelled images with data augmentation. -- Viscosity Estimation in Water-PVP Solutions Through Droplet Image Analysis Using a MobileNet-Enhanced CNN. -- Dynamic Layer Extraction for Floor Plan Generation from Point Clouds. -- Bleeding detection in medical images based on correlation fractional dimension adaptive thresholding. -- Knee or ROC. -- Enhanced Dermatological Asymmetry Measure of Skin Lesions using PCA Method. -- Transformer Based Semantic Segmentation Network for Medical Imaging Application.
Record Nr. UNISA-996647865203316
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part III / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (581 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
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031815966
3031815963
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Various Problems of Artificial Intelligence. -- Agent-Based Model for Field Service Management. -- Evaluating policy effectiveness to enhance smart farming technologies adoption using fuzzy logic and Sugeno integral. -- Functional based fuzzy logic query library. -- Automatic Program Assessment, Grading and Code Generation: Possible AI-Support in a Software Development Course. -- Computer Network User Profiling using Firewall Logs and ANFIS-based Hybrid Systems. -- Different Approaches for Customer Lifetime Value in e-Book Subscription Domain. -- Tweeting on an Empty Stomach: Unpacking Food Price Hikes and Inflation via Twitter. -- Memory Augmented Multi-Agent Reinforcement Learning for Cooperative Environment. -- The use of fuzzy sets in the classification of metagenomic data. -- Speech deepfake recognition with data-efficient vision transformers. -- Explainable Cubic Attention-based Autoencoder for Skin Cancer Classification. -- A Study of Classifiers for Marking Short Answers in Intelligent Tutoring Systems. -- Ontology-based rare disease database integration - practical issues and challenges. -- A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models PreTraining. -- A Hybrid Approach towards Vertical Handover in 5G Networks using Genetic Neuro-Fuzzy Controller. -- Swarm Optimization for Enhanced Random Forest-Based IoT Security. -- PV solar power forecasting using a subset of characteristic features selected by AI methods. -- Pain intensity assessment using Recurrent Neural Networks. -- Improving YOLOv8: An Algorithm Based on EfficientRepHead and BIFPN. -- T-REX: Trustworthy and Reliable EXplainability Framework. -- Bioinformatics, Biometrics and Medical Applications. -- Multi-Label Long-Tailed Disease Recognition on Chest X-ray Images. -- Myo-to-Gesture: Evolving AI-Based Innovations in Myoelectric Signal Processing – State-of-the-Art Survey and Research Proposal. -- A new image enhancement-based framework for spoofing detection in ear-based biometric authentication systems. -- From Omics Data to Candidate Genes: An Innovative Machine Learning Approach for Biomarker Identification. -- Machine Learning-Based Tool for Efficient Discrimination Between Deleterious and Neutral Missense Mutations. -- Classification of cardiac arrhythmias using 1D and 2D convolutional neural networks. -- Can algorithms used in automatic preprocessing affect the final value of brain volume? - preliminary study. -- Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris Recognition CNN Approach. -- Breaking the Mold: ViT-CNN Fusion for Enhanced Glaucoma Prediction in OCT Images. -- Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot. -- Biometric iris authentication using a segmentation network with attention and a key-points detection algorithm. -- Polyps Segmentation in Colonoscopy Images using SegFormer Transformer. -- Wavelet feature extraction for dermoscopy images by tree-like wrappers.
Record Nr. UNISA-996647869303316
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Autore Rutkowski Leszek
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (568 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
Application software
Education - Data processing
Artificial Intelligence
Design and Analysis of Algorithms
Computer Communication Networks
Computer and Information Systems Applications
Computers and Education
ISBN 9783031843532
3031843533
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Neural Networks and Their Applications. -- Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load. -- Practical considerations in implementing neural network training with vector instructions. -- Utilizing Pointer Generator Network for Vietnamese Spelling Error Correction. -- Assessing generalization capability of text ranking models in Polish. -- Advancing GDPR Adherence: Leveraging Generative AI for In-Depth Privacy Policy Analysis in Android Apps. -- Speedup of training deep neural networks in the streaming approach using genetic algorithms with an application of drift detection. -- The Use of Synthetic Data in the Development of a Webshop User Profiling System. -- Fuzzy Hyperplane based Least Squares K-SVCR with Its Applications to Stock Trend Classification. -- Stock Movement Prediction by Using a Multi-Tasks Multi-Kernel Fuzzy Support Vector Machine with Parametric Margin. -- Graph-based Dialog Structure Modeling. -- Distracted driver recognition using CNN with dual self-attention module. -- Complex-Valued Restricted Boltzmann Machines for Learning Image Data Distributions. -- On Method of Training of LSTM Neural Network Based on Stability Conditions. -- Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Drone Engine Failures Detection. -- Researching ML Algorithms for Predicting FHB in Corn: A Case Study in Dnipro Region of Ukraine. -- Investigating HuBERT-based Speech Emotion Recognition Generalisation Capability. -- Comparison of Hyperparameter Tuning Optimization Methods for LSTM and Stock Price Prediction. -- Detecting and Warning Duplicate Job Postings on Job Portals. -- Randomness Versus Backpropagation in Machine Learning . -- Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. -- Personality of AI. -- Crossing the Divide: Designing Layers of Explainability. -- Pattern Classification. -- Empowering Intelligent Database Systems Using an Adaptive Recommendation Algorithm. -- Hancrafted vs. Non-handcrafted features for acoustic scene classification. -- Effective High Utility Itemsets Mining Algorithm for Incremental Databases. -- Machine Learning for Gesture Recognition using Leap Motion Controller. -- Sun Magnetogram Search by Circle Sector Histograms and LSH. -- Enhancing Semantic Search through Domain Adaptation: A Case Study on the Mobifone News Dataset. -- Improving Anomaly Detection Methods Through Attribute Exclusion Using Isolation Forest. -- Classifier Ensemble Learning using Discrete Optimization. -- Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction. -- An Efficient Clique-based Level-wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining.
Record Nr. UNISA-996647868503316
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing [[electronic resource] ] : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing [[electronic resource] ] : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
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
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing [[electronic resource] ] : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing [[electronic resource] ] : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
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
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
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 9783031425080
3031425081
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. UNINA-9910746086703321
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part I / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
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 9783031425059
3031425057
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 -- TheGeometry 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
Rutkowski Leszek  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui