Autore	Santana Leitner Andrés
Pubbl/distr/stampa	Barcelona : , : Editorial UOC, , 2017
Descrizione fisica	1 online resource (142 páginas) : ilustraciones
Disciplina	300.285
Collana	Derecho y Ciencia Política
Soggetto topico	Social sciences - Data processing Statistics Ciencias sociales Procesamiento de datos Estadística
Soggetto genere / forma	Libros electronicos.
ISBN	84-9064-402-0 84-9064-400-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	spa
Record Nr.	UNINA-9910795464803321

Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (187 pages)
Disciplina	610.28563
Collana	Lecture Notes in Computer Science
Soggetto topico	Computer vision Application software Artificial intelligence Education - Data processing Social sciences - Data processing Computer Vision Computer and Information Systems Applications Artificial Intelligence Computers and Education Computer Application in Social and Behavioral Sciences
ISBN	3-031-47076-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Preface -- Organization -- Contents -- Clinical Trial Histology Image Based End-to-End Biomarker Expression Levels Prediction and Visualization Using Constrained GANs -- 1 Introduction -- 2 Clinical Trial Data -- 3 Method -- 3.1 Whole Slide Image Registration -- 3.2 Image Tiling and Pre-processing -- 3.3 Activate Learning (AL) for Semantic Segmentation -- 3.4 Biomarker Expression Proportion Score (PS) -- 3.5 Constrained GAN for Virtual IHC Synthesis -- 4 Results and Discussion -- 4.1 Phase 1 Clinical Trial Dataset -- 4.2 Active Learning and PS Score Prediction -- 4.3 Constrained GAN Training and Testing -- 5 Conclusion and Future Work -- References -- More Than Meets the Eye: Physicians' Visual Attention in the Operating Room -- 1 Introduction -- 2 Related Work -- 2.1 Face Detection -- 2.2 Facial Landmarks -- 2.3 Spatiotemporal Gaze Architecture -- 2.4 Eye-Context Interaction Inferring Network -- 3 Materials -- 3.1 Benchmark Datasets -- 3.2 Our Datasets -- 4 Methods -- 4.1 Pipeline Construction -- 4.2 Implementation -- 5 Results -- 5.1 Ablation Study of the End-to-End Pipeline -- 5.2 Evaluation of the Proposed Framework on Our Datasets -- 6 Discussion -- References -- CNNs vs. Transformers: Performance and Robustness in Endoscopic Image Analysis -- 1 Introduction -- 2 Methods -- 2.1 Data: Setting, Datasets and Preprocessing -- 2.2 Network Architectures, Training and Evaluation -- 3 Experimental Results and Discussion -- 4 Conclusions -- References -- Investigating the Impact of Image Quality on Endoscopic AI Model Performance -- 1 Introduction -- 2 Methods and Materials -- 2.1 Network Training -- 2.2 Experiments -- 2.3 Image Corruptions -- 2.4 Evaluation -- 3 Results -- 4 Conclusions and Future Work -- References -- Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection -- 1 Introduction. 2 Materials and Methods -- 2.1 Imaging Data -- 2.2 Ensembling Method -- 2.3 Evaluation -- 3 Results -- 4 Discussion and Conclusion -- References -- Advancing Abdominal Organ and PDAC Segmentation Accuracy with Task-Specific Interactive Models -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Dataset -- 3.2 Interaction Framework -- 3.3 Training Details and Evaluation Criteria -- 4 Results -- 5 Discussion -- 6 Future Work -- 7 Conclusion -- References -- Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 PPGL-Transformer -- 2.3 Supervised Contrastive Learning of PPGL-Transformer -- 2.4 Implementation and Evaluation Details -- 3 Results -- 4 Discussion and Conclusion -- References -- Video-Based Gait Analysis for Assessing Alzheimer's Disease and Dementia with Lewy Bodies -- 1 Introduction and Related Work -- 2 Method -- 2.1 Our Patient Data -- 2.2 MAX-GRNet for 3D Pose Estimation -- 2.3 Geometric Deep Learning for Severity Assessment -- 3 Experiments -- 3.1 Datasets -- 3.2 Implementation Details -- 3.3 Results -- 4 Conclusion -- References -- Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging -- 1 Introduction -- 2 Related Works -- 2.1 Breast Cancer Grading -- 2.2 Pathologic Complete Response Prediction -- 3 Methodology -- 3.1 Patient Cohort and Imaging Protocol -- 3.2 Extracting Deep Radiomic Sequences from CDIs -- 3.3 pCR Prediction via Volumetric Deep Radiomic Features -- 4 Results -- 4.1 Breast Cancer Grading (SBR Grade) -- 4.2 pCR Prediction via Volumetric Deep Radiomic Features -- 5 Conclusion -- References -- Image-Based 3D Reconstruction of Cleft Lip and Palate Using a Learned Shape Prior -- 1 Introduction -- 2 Related Work -- 3 Methods. 3.1 Data Pre-processing -- 3.2 Semi-dense Reconstruction -- 3.3 Data-Driven Shape Prior -- 3.4 Data Collection -- 4 Results -- 4.1 3D Reconstruction -- 4.2 Plate Evaluation -- 4.3 Learned Shape Prior -- 5 Conclusion -- References -- Breaking down the Hierarchy: A New Approach to Leukemia Classification -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Pre-processing -- 4 Methodology Overview -- 4.1 Flat/Leaf Classification (Baseline) -- 4.2 Hierarchical Multi-label Classification -- 5 Experimental Setup -- 5.1 Model Selection -- 5.2 Simulating Pathological Evaluation -- 5.3 Experimental Procedures -- 5.4 Evaluation Metrics -- 6 Results and Discussion -- 6.1 Flat/Leaf Classification -- 6.2 Base vs Proposed Hierarchical Classification -- 6.3 Flat vs Proposed Hierarchical Classification -- 6.4 Visual Experimental Results -- 7 Conclusion -- References -- Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network -- 1 Introduction -- 2 Method -- 2.1 Nuclei Classification -- 2.2 Cell Graph Construction -- 2.3 Graph Attention Network -- 2.4 Model Interpretability -- 3 Experimental and Results -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Comparison with State-of-the-Art Methods -- 4 Conclusion -- References -- Ultrafast Labeling for Multiplexed Immunobiomarkers from Label-free Fluorescent Images -- 1 Introduction -- 2 Method -- 2.1 Framework Overview -- 2.2 Random MAE Feature Extractor -- 2.3 Dual-Modal Feature Combination With Self-Attention Mechanism -- 2.4 Multitasked Composite Loss Function -- 3 Experiments -- 3.1 Data Preparation -- 3.2 Assessment Scores -- 3.3 Software and Platform -- 4 Results -- 4.1 Comparison with Other Techniques -- 4.2 Clinical Observation Assessment -- 5 Conclusion -- References. M U-Net: Intestine Segmentation Using Multi-dimensional Features for Ileus Diagnosis Assistance -- 1 Introduction -- 2 Method -- 2.1 Overview -- 2.2 Compound Loss Function with Deep Supervision -- 3 Experiments and Results -- 3.1 Experiment Detail -- 3.2 Results -- 4 Discussion and Conclusions -- References -- Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer -- 1 Introduction -- 2 Methods -- 2.1 Two-Stage Based Segmentation -- 2.2 All-Slice Fusion Transformer -- 2.3 Classifier-Guided Segmentation Refinement -- 2.4 Loss Functions -- 3 Experiments -- 3.1 Datasets and Settings -- 3.2 Results -- 3.3 Ablation Study -- 4 Discussion and Conclusion -- References -- Accessible Otitis Media Screening with a Deep Learning-Powered Mobile Otoscope -- 1 Introduction -- 2 Methodology -- 2.1 Mobile Otoscope -- 2.2 Deep Learning -- 2.3 Smartphone Application -- 3 Results -- 3.1 Algorithmic Testing -- 3.2 Validation Testing -- 4 Discussion and Conclusions -- 4.1 Prospect of Application -- References -- Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Masking Irrelevant Regions -- 3.2 Including Temporal Context -- 3.3 Including Blood Flow Information via Deformation Fields -- 3.4 Combining the Modules -- 4 Experiments and Results -- 4.1 Training Modules Needed for Defining M and V -- 4.2 Single-Frame Classification -- 4.3 Classification Using Temporal Context -- 5 Conclusion -- References -- Author Index.
Record Nr.	UNINA-9910760260303321

Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (445 pages)
Disciplina	929.605
Collana	Communications in Computer and Information Science
Soggetto topico	Software engineering Computer networks Application software Computer systems Social sciences - Data processing Software Engineering Computer Communication Networks Computer and Information Systems Applications Computer System Implementation Computer Application in Social and Behavioral Sciences
ISBN	3-031-46739-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Artificial Intelligence -- Algorithmic trading system using auto-machine learning as a filter rule -- An algorithmic trading strategy for the Colombian US dollar inter-bank bulk market SET-FX based on an evolutionary TPOT AutoML predictive model -- Evaluating the incidence of different factors on the level of service at interceptions without traffic lights -- Physically Informed Neural Networks Applied to Financial Derivatives Valuation in Markets with Liquidity Risk -- Application of hierarchical risk parity with Latin ADRs -- Experimental Analysis of a Peregrine Falcon 3D Prototype with oscillating feathers -- Optimal portfolio selection using a Robust-Bayesian model -- Impact of Pruning Distribution in Compressed CNN Models: A Case Study -- Open-loop stability analysis of interval dynamic systems -- Acquisition of motor images of the left and right hand by means of the Emotiv epoc+ headset for their classification using the EEGNet neural network -- Natural Language Contents Evaluation System for Multi-class News Categorization Using Machine Learning and Transformers -- Automatic Assessment of Voice Disorders Using Phase Plots -- Medical Image Compression techniques comparison using open-source libraries -- Implementation of a reinforced learning algorithm in a simulation environment for path planning of a robot manipulator with 3 degrees of freedom -- MACHINE LEARNING FOR RICE (Oryza sativa L.) PHENOLOGICAL IDENTIFICATION -- wGMU: A Novel Fusion Strategy to Identify the Important Parts of Sentence for Relation Classification -- Effect of preprocessing in deep learning systems to aid the diagnosis using X-ray pulmonary images -- Topological Data Analysis to characterize fluctuations in the Latin American Integrated Market -- Implementation of the chaotic systems Lorenz, Rossler, and Chen on an 8 bit microcontroller -- Enhancing Impaired Waist-to-Height Ratio Classification Using Neural Networks -- Application of artificial intelligence tools, data processing, and analysis in the forecasting of level and flow variables in wells with little data from the Morroa Aquifer -- Voltage Regulation for Microgrids Based on a Data-Driven Predictor -- Generalized nonlinear rectification function for estimating Mel Cepstral coefficients from Colombian birdsongs -- Optimization -- Global Sensitivity Analysis in Optimization - the Case of Positive Definite Quadratic Forms -- MPC-Based Path Tracking of a Differential-Drive Mobile Robot with Optimization for Improved Control Performance -- A Mixed Integer Linear Programming Model for School Timetable in Cartagena -- Evaluation of a Mixed-Product Production System Performance with Unreliable Machines -- Distributionally Robust Optimization for Networked Microgrids: An Overview -- Pickup and delivery vehicle routing problems in bike sharing systems: a review -- MATHEMATICAL OPTIMIZATION MODELS FOR THE DESIGN AND APPLICATION OF INDUSTRIAL SYMBIOSIS NETWORKS: CHALLENGES AND TRENDS -- Simulation -- Static and Dynamic Electrical Characterization of Flexible Photovoltaic Panels for Optimization of their Performance -- Rural Migration in Colombia -- Investigation of the conductive properties of the electro-polymerized thiophene and pyrrole derivatives: correlation between experimental and theoretical parameters -- Strategies, information technologies and models for knowledge management in software development companies: A systematic review of the literature -- Smart Substation Communication with Virtual Networks -- Development of a farm animal tracking device using LoRaWAN -- In-silico study of the effect of particulate matter from Medell´ın on virtual ventricular tissue.
Record Nr.	UNISA-996558567803316

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

Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica	1 online resource (691 pages)
Disciplina	006.3
Collana	Communications in Computer and Information Science
Soggetto topico	Image processing - Digital techniques Speech processing systems Social sciences - Data processing
ISBN	3-030-95711-X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNISA-996464540603316