Autore	Alonso-Betanzos Amparo
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (293 pages)
Disciplina	006.3
Altri autori (Persone)	Guijarro-BerdiñasBertha Bolón-CanedoVerónica Hernández-PereiraElena Fontenla-RomeroOscar CamachoDavid RabuñalJuan Ramón Ojeda-AciegoManuel MedinaJesús RiquelmeJosé C
Collana	Lecture Notes in Artificial Intelligence
Soggetto topico	Artificial intelligence Computer networks Social sciences - Data processing Education - Data processing Computer vision Application software Artificial Intelligence Computer Communication Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision Computer and Information Systems Applications
ISBN	9783031627996 9783031627989
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards. -- Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains. -- Deep Variational Auto-Encoder for Model-based Water Quality Patrolling with Intelligent Surface Vehicles. -- An Architecture Towards Building a Reliable Suicide Information Chatbot. -- Age estimation using soft labelling ordinal classification approaches. -- O-Hydra: a hybrid convolutional and dictionary-based approach to Time Series Ordinal Classification. -- Predicting Parkinson’s Disease Progression: Analyzing Prodromal Stages through Machine Learning. -- Ground-Level Ozone Forecasting using Explainable Machine Learning. -- Multi-Objective Lagged Feature Selection based on Dependence Coefficient for Time-Series Forecasting. -- FuSDG: A proposal for a fuzzy assessment of Sustainable Development goals achievement. -- A surrogate assisted approach for fitness computation in robust optimization over time. -- A Path Relinking-based approach for the Bi-Objective Double Floor Corridor Allocation Problem. -- An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. -- Preserving the Essential Features in CNNs: Pruning and Analysis. -- Iterated Local Search for the Facility Location problem with Limited Choice rule. -- Driven PCTBagging: Seeking greater discriminating capacity for the same level of interpretability. -- Semi-supervised learning methods for Semantic Segmentation of Polyps. -- Community-Based Topic Modeling with Contextual Outlier Handling. -- Toward Explaining Competitive Success in League of Legends: A Machine Learning Analysis. -- Reconstruction-based Anomaly Detection in Wind Turbine Operation Time Series using Generative Models. -- Multi-class and Multi-label Classification of an Assembly Task in Manufacturing. -- Image Processing and Deep Learning Methods for the Semantic Segmentation of Blastocyst Structures. -- Multivariate-Autoencoder flow-analogue method for heat waves reconstruction. -- HEX-GNN: Hierarchical EXpanders for Node Classification. -- The notion of bond in the multi-adjoint concept lattice framework. -- Exploring the use of LLMs for teaching AI and Robotics concepts at a Master's Degree. -- Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut.
Record Nr.	UNINA-9910865239103321

Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (XVII, 323 p. 163 illus., 126 illus. in color.)
Disciplina	621.382
Collana	Lecture Notes in Electrical Engineering
Soggetto topico	Telecommunication Computational intelligence Computer networks Communications Engineering, Networks Computational Intelligence Computer Communication Networks
ISBN	981-9656-93-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911003592303321

Edizione	[1st ed. 2015.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica	1 online resource (XXII, 661 p. 220 illus.)
Disciplina	006.3
Collana	Lecture Notes in Artificial Intelligence
Soggetto topico	Artificial intelligence Data mining Application software Information storage and retrieval Algorithms Education—Data processing Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computers and Education
ISBN	3-319-24306-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Multi-agent systems -- Social networks and NLP -- Sentiment analysis.-Computational intelligence and games -- Ontologies and information extraction.-Formal methods and simulation -- Neural networks, SMT and MIS -- Collective intelligence in Web systems – Web systems analysis -- Computational swarm intelligence -- Cooperative strategies for decision making and optimization.-Advanced networking and security technologies -- IT in biomedicine -- Collective computational intelligence in educational context -- Science intelligence and data analysis -- Computational intelligence in financial markets -- Ensemble learning -- Big data mining and searching.
Record Nr.	UNISA-996466319403316

Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica	1 online resource (564 pages)
Disciplina	006.312
Collana	Lecture Notes in Computer Science
Soggetto topico	Data mining Database management
ISBN	3-031-21753-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Preface -- Organization -- Contents -- Main Track -- Ensemble Stack Architecture for Lungs Segmentation from X-ray Images -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experiment -- 4.1 Evaluation Protocols -- 4.2 Dataset -- 4.3 Training Regime -- 4.4 Results -- 5 Comparison with State-of-the-Arts -- 6 Conclusion -- References -- Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Synonym Replacement and Essay Generation -- 3.2 Data Augmentation -- 4 Scoring Models -- 5 Experiment -- 5.1 Data Sets -- 5.2 Essay Pre-processing -- 5.3 Evaluation Methodology -- 6 Results and Discussion -- 6.1 Improving Robustness with Adversarial Data Augmentation and Training -- 7 Conclusions -- References -- Characterizing Cardiovascular Risk Through Unsupervised and Interpretable Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description -- 2.2 Unsupervised and Interpretable Methods -- 3 Experimental Results -- 3.1 Characterization of Clusters and CVD Risk Analysis -- 4 Conclusions -- References -- Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs -- 1 Introduction -- 2 Theoretical Foundations and Related Works -- 3 Data and Methods -- 3.1 Segmentation Architecture -- 3.2 Dataset -- 4 Experiment and Discussion -- 4.1 Experiment -- 4.2 Discussion -- 5 Conclusion -- References -- Detection of False Information in Spanish Using Machine Learning Techniques -- 1 Introduction -- 2 Background and Related Work -- 3 Data and Resources -- 4 Methodology -- 4.1 Linguistic Features -- 4.2 The Conceptual Architecture of the Fine-Tuned Model -- 4.3 The Technological Implementation -- 4.4 Evaluation Metrics -- 5 Results -- 6 Conclusions and Future Work -- References. An Approach to Authenticity Speech Validation Through Facial Recognition and Artificial Intelligence Techniques -- 1 Introduction -- 2 State of Data -- 2.1 Deception Detection Techniques -- 2.2 Face Recognition and Face Features Extraction -- 3 Experiment -- 3.1 Framework -- 3.2 Dataset -- 3.3 Concept Proof -- 3.4 Training Details -- 4 Results and Discussion -- 4.1 Dataset Analysis -- 4.2 RNN Model -- 5 Conclusion -- References -- Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis -- 1 Introduction -- 2 Methodology -- 2.1 Problem Formulation -- 2.2 Federated Model -- 2.3 Self-trained Student Model -- 3 Experiments and Results -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Validation of the Framework -- 3.4 Results of the Proposed Framework -- 4 Conclusion -- References -- Automatic Exploration of Domain Knowledge in Healthcare -- 1 Introduction -- 2 Background -- 3 DANKFE - DomAiN Knowledge Based Feature Engineering -- 4 Case Study: Prediction During COVID-19 Pandemic -- 4.1 Experimental Results -- 5 Conclusion -- References -- On Studying the Effect of Data Quality on Classification Performances -- 1 Introduction -- 2 C1: The Perceived Difficulty of Using a Method According to Experts -- 3 How Good Is a Repairing (Study of C2 to C5) -- 3.1 Empirical Setup -- 3.2 C2: Impact of the Degradation of the Data on Repairing Effectiveness -- 3.3 C3: Effectiveness of the Repairing Tools -- 3.4 C4 and C5: Impact of the Type of Error and Impact of the Classification Model -- 4 Discussion -- 4.1 Is It Always Better to Repair Data? -- 4.2 Threats to Validity -- 5 Conclusion -- References -- A Binary Water Flow Optimizer Applied to Feature Selection -- 1 Introduction -- 2 Water Flow Optimizer -- 2.1 Laminar Operator -- 2.2 Turbulent Operator -- 2.3 Algorithm -- 3 Proposal: Binary Water Flow Optimizer (BWFO). 3.1 Binary Laminar Flow Operator -- 3.2 Binary Turbulent Flow -- 3.3 Framework BWFO -- 4 Simulations and Discussions -- 5 Conclusion -- References -- Benchmarking Data Augmentation Techniques for Tabular Data -- 1 Introduction -- 2 State of Art -- 3 Experiments -- 3.1 Data -- 3.2 Assessment Metrics -- 3.3 Experimental Results -- 4 Conclusion -- References -- Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks -- 1 Introduction -- 2 Literature Review -- 3 Related Works -- 4 Methodology -- 4.1 System Architecture -- 4.2 Dataset Preprocessing -- 4.3 Model Specification -- 5 Implementation -- 5.1 Constructing the Model -- 5.2 Content Caching and Replacing -- 6 Result Analysis -- 7 Conclusion -- References -- Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Performance Classification -- 3.2 Model Evaluation -- 4 Results -- 4.1 Model Performance Comparison -- 4.2 Feature Representation Extraction -- 5 Discussion -- 6 Conclusion -- References -- On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent -- 1 Introduction -- 2 Preliminaries -- 2.1 Value Function -- 2.2 Multilayer Perceptron Neural Networks -- 3 Methodology -- 3.1 Deep Q Networks -- 3.2 Double Deep Q Networks -- 3.3 Learning with Multiple Training Cycles -- 3.4 Rainbow Agent -- 3.5 Problem Formulation -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- An Intelligent Decision Support System for Road Freight Transport -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Problem Formulation -- 3.2 Proposed IDSS -- 3.3 Evaluation Methodology -- 4 Results -- 4.1 Developed IDSS Prototype -- 4.2 Evaluation -- 5 Conclusions -- References. Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods -- 1 Introduction -- 2 Overview of Applied Techniques -- 2.1 Clustering Approaches for Point of Interest (POI) Extraction -- 2.2 Artificial Neural Networks -- 2.3 Regressions -- 3 Methodology -- 3.1 Predicting the Next Vehicle Trip State -- 3.2 Predicting the Comfort Setting -- 4 Results -- 4.1 Datasets -- 4.2 Next Trip State of a Vehicle -- 4.3 Next Trip's Comfort Setting -- 5 Conclusion -- References -- Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Recursive Neural Network -- 2.2 Bottom-Up Top-Down Recursive Neural Network -- 3 Experiments -- 4 Results and Performance Comparison -- 5 Conclusion -- References -- Towards a Low-Cost Companion Robot for Helping Elderly Well-Being -- 1 Introduction -- 2 System Description -- 2.1 Hardware Description -- 2.2 Software Description -- 3 Conclusions and Future Works -- References -- Zero-Shot Knowledge Graph Completion for Recommendation System -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Framework -- 3.2 Problem Formulation -- 3.3 Zero-Shot KGC -- 4 Experiments -- 4.1 Dataset -- 4.2 Data Pre-processing -- 4.3 Experimental Setup -- 4.4 Experiments Result and Comparisons -- 5 Conclusion and Future Work -- References -- The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture -- 1 Introduction -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Sources and Data Collection -- 3.2 Storage -- 3.3 ETL Process -- 3.4 Data Visualization -- 4 Results and Discussion -- 4.1 Use Case 1: United States of America -- 4.2 Use Case 2: India -- 4.3 Use Case 3: Brazil -- 5 Conclusions -- References -- Distance-Based Delays in Echo State Networks -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion. 5 Future Work -- References -- EduBot: A Proof-of-Concept for a High School Motivational Agent -- 1 Introduction -- 2 State of the Art -- 3 Dataset Presentation -- 4 An Active Motivational Digital Assistant -- 4.1 Education Data Mining -- 4.2 Education Intelligence Module -- 4.3 Digital Assistant Motivational Module -- 5 Conclusion -- References -- A Simulation Model for Predicting the Spread of COVID-19 Virus -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusions -- References -- ICU Mortality Prediction Using Long Short-Term Memory Networks -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Feature Engineering -- 3.2 Feature Preprocessing -- 4 Methodology -- 4.1 Model Configuration -- 4.2 Model Implementation -- 5 Experimental Results -- 6 Conclusion and Future Works -- References -- Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Search Space -- 3.2 Combining Learning Rate Distributions -- 4 Experimental Approach -- 4.1 Datasets -- 4.2 Types of Data Shift -- 4.3 Baselines and Implementation Details -- 5 Results -- 5.1 Dataset Shift -- 5.2 Distribution Shift -- 6 Conclusion -- References -- How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms -- 1 Introduction -- 2 Related Work -- 3 ARRANGE: ImAge RetRieval mAtchiNG ObjEct -- 3.1 Principle -- 3.2 Image Retrieval -- 3.3 Image Matching -- 4 Performance Evaluation -- 4.1 ARRANGE`s Analysis -- 4.2 ARRANGE Vs. State-of.the-art Object Localisation Algorithms -- 5 Conclusion -- References -- Ethereum Investment Based on LSTM and GRU Forecast -- 1 Introduction -- 2 Materials: Data and Pre-processing -- 2.1 Feature Selection -- 3 Methods: Neural Networks Application -- 3.1 Network Architecture and Parametrization -- 3.2 Metrics. 3.3 Training and Testing Data.
Record Nr.	UNINA-9910631095403321

Edizione	[1st ed. 2018.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica	1 online resource (XXVI, 865 p. 285 illus., 197 illus. in color.)
Disciplina	006.3
Collana	Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico	Data mining Artificial intelligence Optical data processing Computers Data Mining and Knowledge Discovery Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Theory of Computation
ISBN	3-030-03493-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intelligent data analysis -- data mining and their associated learning systems and paradigms -- big data challenges -- machine learning, data mining, information retrieval and management -- bio- and neuro-informatics -- bio-inspired models including neural networks, evolutionary computation and swarm intelligence -- agents and hybrid intelligent systems, and real-world applications of intelligent techniques -- evolutionary algorithms -- deep learning neural networks -- probabilistic modeling -- particle swarm intelligence -- big data analytics and applications in image recognition -- regression, classification, clustering, medical and biological modelling and prediction -- text processing and social media analysis.
Record Nr.	UNISA-996466314103316