Ambient Intelligence--Software and Applications--13th International Symposium on Ambient Intelligence / / Vicente Julián [and four others], editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (274 pages) |
Disciplina | 004 |
Collana | Lecture Notes in Networks and Systems Series |
Soggetto topico | Ambient intelligence |
ISBN | 3-031-22356-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Organization -- Preface -- Contents -- Deep Learning Based Automated Chest X-ray Abnormalities Detection -- 1 Introduction -- 2 Related Works -- 3 Dataset Specifics -- 4 Approach -- 4.1 Exploratory Data Analysis -- 4.2 Data Pre-processing -- 4.3 Proposed CNN Architectures -- 4.4 2-Class Classifier Pipeline -- 5 Results -- 6 Conclusion -- References -- Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture -- 1 Introduction -- 2 Related Works -- 3 Design of the Architecture -- 3.1 Acquisition Devices -- 3.2 Microservices and Event-Driven-Based Architecture -- 3.3 Synchronisation Strategy -- 4 Results -- 5 Conclusions -- References -- Percutaneous Electrolysis (EPI®), a Promising Technology in the Treatment of Insertional Patellar Tendinopathy in Soccer Players -- 1 Introduction -- 2 Material and Methods -- 3 Results -- 4 Discussion and Conclusions -- References -- Ability-Centered Examination of People with Motor Impairments' Interaction with Television Towards More Accessible Smart Home Entertainment Environments -- 1 Introduction -- 2 Related Work -- 3 Study -- 3.1 Participants -- 3.2 Motor Abilities -- 3.3 Measures -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Discovery of Profitable Stock Price Movement Patterns from Various High Utility Pattern Mining -- 1 Introduction -- 2 Past Works -- 3 Methodology -- 3.1 Definitions -- 3.2 The Focused High Utility Mining Methods -- 4 Experiments -- 4.1 Data and Pre-processing -- 4.2 Discussions -- 5 Conclusions -- References -- Automatic Detection of Oil Spills from SAR Images Using Deep Learning -- 1 Introduction -- 2 Dataset and Methods -- 2.1 Oil Spill Dataset Description -- 2.2 Semantic Segmentation -- 2.3 Evaluation Metrics -- 3 Results -- 4 Discussion -- 5 Conclusion -- References.
Intelligent Appliances for AAL Environments -- 1 Introduction -- 1.1 VirtualECare and VirtualECare2 -- 2 Intelligent Appliances -- 2.1 Virtual Appliance -- 2.2 Physical Appliance Requirements -- 3 Conclusions and Future Work -- References -- Time Series Forecasting for Improving Quality of Life and Ecosystem Services in Smart Cities -- 1 Introduction -- 2 Related Works -- 3 Forecasting Methods for Climate Data -- 3.1 Description of the Dataset -- 3.2 Algorithms for Time Series Prediction -- 4 Experiment and Results -- 5 Conclusions and Future Work Lines -- References -- Security of IoT Application Layer: Requirements, Threats, and Solutions -- 1 Introduction -- 2 Background and Motivation -- 2.1 Motivation -- 3 Security Requirements in IoT Application Layer -- 3.1 Confidentiality -- 3.2 Integrity -- 3.3 Availability -- 3.4 Authentication and Authorization -- 4 Security Threats and Solutions in IoT Application Layer -- 4.1 Focus on IoT Use Cases -- 5 Open Issues and Future Directions -- 5.1 The Lack of Comprehensive Security- and/or Privacy-Protecting Frameworks -- 5.2 Insecure Interfaces -- 5.3 Blockchain -- 5.4 Machine Learning -- 6 Conclusion -- References -- Smart Wearable Systems for the Remote Monitoring of Venous and Diabetic Foot Ulcers: State of the Art -- 1 Introduction -- 2 Methods -- 2.1 Search Strategy -- 2.2 Eligibility Criteria -- 2.3 Analysis -- 3 Results -- 3.1 State-of-the Art -- 3.2 Data Collection -- 3.3 Smart Features -- 3.4 Open Research Challenges and Limitations -- 4 Conclusions -- References -- Electronic Plush Toy as a Non-pharmacological Tool in Therapies -- 1 Introduction -- 2 State of Art -- 3 Methodology -- 4 Design and Construction -- 4.1 HW Design -- 5 Conclusions and Future Work -- References -- Federated Learning with Exponentially Weighted Moving Average for Real-Time Emotion Classification -- 1 Introduction. 2 Preliminaries -- 2.1 Multi-modal Data Stream Classification -- 2.2 Federated Learning -- 2.3 Exponentially Weighted Moving Average -- 3 Materials and Methods -- 3.1 Proposed Approach -- 3.2 Dataset Description -- 3.3 Experimental Study -- 3.4 Experimental Setup -- 3.5 Performance Metric -- 4 Results, Analysis and Discussion -- 5 Conclusion -- References -- User-Adapted Semantic Description Generation Using Natural Language Models -- 1 Introduction -- 2 Natural Language Generation Model -- 2.1 Transformers in Generative Models -- 2.2 From Fine-Tuning to Few-Shot Learning -- 3 User-Adapted Semantic Description Generation -- 3.1 Random Topic Generation -- 3.2 Theme-Based Semantic Description Generation -- 3.3 User-Adapted Text Paraphrasing -- 3.4 Case Study -- 4 Conclusions -- References -- An Integration of Packet Routing and Data Processing in Sensor Networks -- 1 Introduction -- 2 Basic Approach -- 2.1 Example Scenario -- 2.2 Design Principle -- 2.3 Packet Description -- 3 Routing Specification Language -- 4 Design and Implementation -- 4.1 Interpretation of Description Embedded in Packets -- 4.2 Invocation for Data Processing Function -- 4.3 Packet Receiving and Forwarding -- 4.4 Current Status -- 5 Related Work -- 6 Conclusion -- References -- Quantum AI: Achievements and Challenges in the Interplay of Quantum Computing and Artificial Intelligence -- 1 Introduction -- 2 Quantum Computing and Artificial Intelligence -- 3 Quantum Artificial Intelligence -- 3.1 Data Dimension -- 3.2 Algorithmic Dimension -- 3.3 Computational Framework -- 4 Future Avenues of Research in QAI -- 5 Conclusion -- References -- An Architecture for a Coaching System to Support Type 2 Diabetic Patients -- 1 Introduction -- 2 Proposed Architecture -- 2.1 Rules Engine -- 2.2 Challenges Engine -- 2.3 Knowledge Management System -- 3 Conclusions and Future Work -- References. Machine Learning Based System for the Control and Evaluation of Programming Vulnerabilities -- 1 Introduction -- 2 Background -- 3 Proposed System -- 4 Results -- 5 Conclusion -- 6 Future Work -- References -- Quantum Optimization for IoT Security Detection -- 1 Introduction -- 2 Quantum Computing -- 3 Quantum Annealing -- 4 Qboost for IoT Security Detection (Q4IoT) -- 5 Empirical Evaluation -- 5.1 Dataset -- 5.2 Experimental Methodology -- 5.3 Results -- 6 Conclusions and Future Developments -- References -- IdeAir: IoT-Based System for Indoor Air Quality Control -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 Development Methodology -- 3.2 Results of Applying TDDM4IoTS to This Case Study -- 4 Conclusions and Future Work -- References -- Automated Counting via Multicolumn Network and CytoSMART Exact FL Microscope -- 1 Introduction -- 1.1 Related Work -- 1.2 Image Processing -- 1.3 Deep Learning -- 2 Methods Network -- 2.1 Handling of the Neubauer Cell Counting Chamber -- 2.2 Data Set -- 2.3 The CNN Fundamentals -- 2.4 Data Augmentation -- 2.5 Evaluation Metrics -- 3 Experiments and Results -- 4 Analysis -- 5 Conclusion -- References -- Using Deep Learning for Implementing Paraphrasing in a Social Robot -- 1 Introduction -- 2 State of the Art -- 3 Our Approach Towards Paraphrases in Spanish -- 4 Integration in the Robot's Architecture -- 5 Evaluation -- 6 Use Case -- 7 Conclusions -- References -- Epilepsy Seizure Detection Using Low-Cost IoT Devices and a Federated Machine Learning Algorithm -- 1 Introduction -- 2 Methodology -- 2.1 Fog Computing System -- 2.2 Federated Machine Learning Process -- 3 Preliminary Results -- 4 Conclusions -- References -- Electroencephalographic Signal Processing from Brain-Computer-Interface Following Image-Based Emotion Induction -- 1 Introduction -- 2 Materials and Methods. 2.1 Electroencephalography -- 2.2 Data Acquisition and Emotiv EPOC X Device -- 2.3 Image-Based Emotion Induction and Participants -- 2.4 Experimental Design -- 2.5 Brain Activity Preprocessing -- 2.6 Analysis -- 3 Results and Discussion -- 3.1 High-Low Valence Comparison -- 3.2 High-Low Arousal Comparison -- 3.3 Multiple Comparison -- 4 Conclusions -- References -- Real-Time Algorithm Recommendation Using Meta-Learning -- 1 Introduction -- 2 Meta-Learning -- 3 Methodology -- 4 Results -- 5 Discussion and Conclusions -- References -- Author Index. |
Record Nr. | UNINA-9910637703603321 |
Cham, Switzerland : , : Springer, , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Conflict Resolution in Decision Making [[electronic resource] ] : Second International Workshop, COREDEMA 2016, The Hague, The Netherlands, August 29-30, 2016, Revised Selected Papers / / edited by Reyhan Aydoğan, Tim Baarslag, Enrico Gerding, Catholijn M. Jonker, Vicente Julian, Victor Sanchez-Anguix |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (VII, 149 p. 31 illus.) |
Disciplina | 004 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Computer communication systems Computers Information storage and retrieval Software engineering Artificial Intelligence Information Systems Applications (incl. Internet) Computer Communication Networks Computation by Abstract Devices Information Storage and Retrieval Software Engineering |
ISBN | 3-319-57285-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Anthropology -- Psychology, -- Economy -- Biology -- Mathematics -- Computer Science. |
Record Nr. | UNISA-996465811303316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Conflict Resolution in Decision Making : Second International Workshop, COREDEMA 2016, The Hague, The Netherlands, August 29-30, 2016, Revised Selected Papers / / edited by Reyhan Aydoğan, Tim Baarslag, Enrico Gerding, Catholijn M. Jonker, Vicente Julian, Victor Sanchez-Anguix |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (VII, 149 p. 31 illus.) |
Disciplina | 004 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Computer communication systems Computers Information storage and retrieval Software engineering Artificial Intelligence Information Systems Applications (incl. Internet) Computer Communication Networks Computation by Abstract Devices Information Storage and Retrieval Software Engineering |
ISBN | 3-319-57285-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Anthropology -- Psychology, -- Economy -- Biology -- Mathematics -- Computer Science. |
Record Nr. | UNINA-9910484894003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection [[electronic resource] ] : International Workshops of PAAMS 2020, L'Aquila, Italy, October 7–9, 2020, Proceedings / / edited by Fernando De La Prieta, Philippe Mathieu, Jaime Andrés Rincón Arango, Alia El Bolock, Elena Del Val, Jaume Jordán Prunera, João Carneiro, Rubén Fuentes, Fernando Lopes, Vicente Julian |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XIV, 418 p. 137 illus., 93 illus. in color.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Application software Computer communication systems Special purpose computers E-commerce Artificial Intelligence Information Systems Applications (incl. Internet) Computer Communication Networks Special Purpose and Application-Based Systems e-Commerce/e-business |
ISBN | 3-030-51999-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Workshop on Agent-Based Artificial Markets Computational Economics (ABAM) -- Workshop on Agents and Edge-AI (AgEdAI) -- Workshop on Character Computing (C2) -- Workshop on MAS for Complex Networks and Social Computation (CNSC) -- Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI) -- Workshop on Multi-Agent Systems and Simulation (MAS&S) -- Workshop on Multi-agent based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems (MASGES) -- Workshop on Smart Cities and Intelligent Agents (SCIA). |
Record Nr. | UNISA-996465465903316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection : International Workshops of PAAMS 2020, L'Aquila, Italy, October 7–9, 2020, Proceedings / / edited by Fernando De La Prieta, Philippe Mathieu, Jaime Andrés Rincón Arango, Alia El Bolock, Elena Del Val, Jaume Jordán Prunera, João Carneiro, Rubén Fuentes, Fernando Lopes, Vicente Julian |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XIV, 418 p. 137 illus., 93 illus. in color.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Application software Computer networks Computers, Special purpose Electronic commerce Artificial Intelligence Information Systems Applications (incl. Internet) Computer Communication Networks Special Purpose and Application-Based Systems e-Commerce/e-business |
ISBN | 3-030-51999-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Workshop on Agent-Based Artificial Markets Computational Economics (ABAM) -- Workshop on Agents and Edge-AI (AgEdAI) -- Workshop on Character Computing (C2) -- Workshop on MAS for Complex Networks and Social Computation (CNSC) -- Workshop on Decision Support, Recommendation, and Persuasion in Artificial Intelligence (DeRePAI) -- Workshop on Multi-Agent Systems and Simulation (MAS&S) -- Workshop on Multi-agent based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems (MASGES) -- Workshop on Smart Cities and Intelligent Agents (SCIA). |
Record Nr. | UNINA-9910413443103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection : International Workshops of PAAMS 2015, Salamanca, Spain, June 3-4, 2015. Proceedings / / edited by Javier Bajo, Kasper Hallenborg, Pawel Pawlewski, Vicente Botti, Nayat Sánchez-Pi, Nestor Darío Duque Méndez, Fernando Lopes, Vicente Julian |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XVIII, 422 p. 159 illus.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Application software Education—Data processing Artificial Intelligence Computer Applications Computers and Education Information Systems Applications (incl. Internet) |
ISBN | 3-319-19033-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Workshop on Agents and multi-agent Systems for AAL and e-HEALTH -- Workshop on Agent-Based Solutions for Manufacturing and Supply Chain -- Workshop on MAS for Complex Networks and Social Computation -- Workshop on Intelligent Systems for Context-based Information Fusion -- Workshop on Multi-agent based Applications for Smart Grids and Sustainable Energy Systems -- Workshop on Multiagent System based Learning Environments -- Workshop in Intelligent Human-Agent Societies. |
Record Nr. | UNINA-9910299230903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Highlights of Practical Applications of Heterogeneous Multi-Agent Systems - The PAAMS Collection : PAAMS 2014 International Workshops, Salamanca, Spain, June 4-6, 2014. Proceedings / / edited by Juan M. Corchado, Javier Bajo, Jaroslaw Kozlak, Pawel Pawlewski, Jose M. Molina, Gaudou Benoit, Vicente Julian, Rainer Unland, Fernando Lopes, Kasper Hallenborg, Pedro Garcia Teodoro |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (XVIII, 388 p. 132 illus.) : online resource |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Application software Education—Data processing Artificial Intelligence Computer Applications Computers and Education Information Systems Applications (incl. Internet) |
ISBN | 3-319-07767-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Workshop on Agent-based Approaches for the Transportation Modeling and Optimization (AATMO 2014) -- Workshop on Agent-based Modeling and Simulation of Complex Systems: Engineering and Applications (ABSEA 2014) -- Workshop on Agents and Multi-Agent Systems for Ambient-assisted Living and e-Health (A-HEALTH 2014) -- Workshop on Agent-based Solutions for Manufacturing and Supply Chain (AMSC 2014) -- Workshop on Intelligent Systems for Context-based Information Fusion (ISCIF 2014) -- Workshop on Multi-Agent based Applications for Smart Grids and Sustainable Energy Systems (MASGES 2014) -- Workshop on Active Security Through Multi-Agent Systems (WASMAS 2014) -- Workshop on Intelligent Human-Agent Societies (WIHAS 2014). |
Record Nr. | UNINA-9910298565503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection : International Workshops of PAAMS 2019, Ávila, Spain, June 26–28, 2019, Proceedings / / edited by Fernando De La Prieta, Alfonso González-Briones, Pawel Pawleski, Davide Calvaresi, Elena Del Val, Fernando Lopes, Vicente Julian, Eneko Osaba, Ramón Sánchez-Iborra |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (X, 350 p. 113 illus., 91 illus. in color.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Computer organization E-commerce Computer security Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Systems Organization and Communication Networks e-Commerce/e-business Systems and Data Security |
ISBN | 3-030-24299-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Workshop on Agents-based Solutions for Manufacturing and Supply Chain (AMSC) -- 2nd International Workshop on Blockchain Technology for Multi-Agent Systems (BTC4MAS) -- Workshop on MAS for Complex Networks and Social Computation (CNSC) -- Workshop on Multi-agent based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems (MASGES) -- Workshop on Smart Cities and Intelligent Agents (SCIA) -- Workshop on Swarm Intelligence and Swarm Robotics (SISR) -- Special Session on Software Agents and Virtualizacion for Internet of Things (SAVIoTS) -- DOCTORAL CONSORTIUM. |
Record Nr. | UNINA-9910337842303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Intelligent Data Engineering and Automated Learning – IDEAL 2023 [[electronic resource] ] : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros |
Autore | Quaresma Paulo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (561 pages) |
Disciplina | 006.312 |
Altri autori (Persone) |
CamachoDavid
YinHujun GonçalvesTeresa JulianVicente Tallón-BallesterosAntonio J |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
ISBN | 3-031-48232-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Main Track: Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing -- Complexity-driven sampling for Bagging -- A pseudo-label guided hybrid approach for unsupervised domain adaptation⋆ -- Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification -- Plant Disease Detection and Classification using a Deep learning-based framework -- Evaluating Text Classification in the Legal Domain Using BERT Embeddings -- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling Algorithms for Hyperparameter Optimization -- The Applicability of Federated Learning to Official Statistics -- Generating Wildfire Heat Maps with Twitter and BERT -- An urban simulator integrated with a genetic algorithm for efficient traffic light coordination -- GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations -- Direct determination of Operational Value-at-Risk using Descriptive Statistics -- Using Deep Learning models to Predict the Electrical Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised Defect Detection for Infrastructure Inspection -- Generating Adversarial Examples using LAD -- Emotion extraction from Likert-Scale questionnaires – an additional dimension to Psychology Instruments -- Recent applications of pre-aggregation functions -- A Probabilistic Approach: Querying Web Resources In The Presence Of Uncertainty -- Domain Adaptation in Transformer models: Question Answering of Dutch Government Policies -- Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Language Models for Automatic Distribution of Review Notes in Movie Production -- Extracting Knowledge from Incompletely Known Models -- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts -- Comparing ranking learning algorithms for information retrieval systems -- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks -- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community⋆ -- Uniform Design of Experiments for Equality Constraints -- Globular Cluster Detection in M33 Using Multiple Views Representation Learning -- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model -- Unsupervised Online Event Ranking for IT Operations⋆ -- A Subgraph Embedded GIN with Attention for Graph Classification -- A Machine Learning Approach to Predict Cyclists’ Functional Threshold Power -- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification -- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING -- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts* -- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification -- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification -- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. -- Efficient Model For Probabilistic Web resources under uncertainty -- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning -- Machine Learning for Time Series Forecasting Using State Space Models -- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination -- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection -- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR -- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms -- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features -- Instance selection techniques for large volumes of data. |
Record Nr. | UNISA-996565868903316 |
Quaresma Paulo
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Intelligent Data Engineering and Automated Learning – IDEAL 2023 : 24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings / / edited by Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros |
Autore | Quaresma Paulo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (561 pages) |
Disciplina | 006.312 |
Altri autori (Persone) |
CamachoDavid
YinHujun GonçalvesTeresa JulianVicente Tallón-BallesterosAntonio J |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Data mining
Machine learning Software engineering Education - Data processing Computer vision Data Mining and Knowledge Discovery Machine Learning Software Engineering Computers and Education Computer Vision |
ISBN | 3-031-48232-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Main Track: Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing -- Complexity-driven sampling for Bagging -- A pseudo-label guided hybrid approach for unsupervised domain adaptation⋆ -- Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification -- Plant Disease Detection and Classification using a Deep learning-based framework -- Evaluating Text Classification in the Legal Domain Using BERT Embeddings -- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling Algorithms for Hyperparameter Optimization -- The Applicability of Federated Learning to Official Statistics -- Generating Wildfire Heat Maps with Twitter and BERT -- An urban simulator integrated with a genetic algorithm for efficient traffic light coordination -- GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations -- Direct determination of Operational Value-at-Risk using Descriptive Statistics -- Using Deep Learning models to Predict the Electrical Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised Defect Detection for Infrastructure Inspection -- Generating Adversarial Examples using LAD -- Emotion extraction from Likert-Scale questionnaires – an additional dimension to Psychology Instruments -- Recent applications of pre-aggregation functions -- A Probabilistic Approach: Querying Web Resources In The Presence Of Uncertainty -- Domain Adaptation in Transformer models: Question Answering of Dutch Government Policies -- Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks -- Language Models for Automatic Distribution of Review Notes in Movie Production -- Extracting Knowledge from Incompletely Known Models -- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts -- Comparing ranking learning algorithms for information retrieval systems -- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks -- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community⋆ -- Uniform Design of Experiments for Equality Constraints -- Globular Cluster Detection in M33 Using Multiple Views Representation Learning -- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model -- Unsupervised Online Event Ranking for IT Operations⋆ -- A Subgraph Embedded GIN with Attention for Graph Classification -- A Machine Learning Approach to Predict Cyclists’ Functional Threshold Power -- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification -- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING -- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts* -- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification -- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification -- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data. -- Efficient Model For Probabilistic Web resources under uncertainty -- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning -- Machine Learning for Time Series Forecasting Using State Space Models -- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination -- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection -- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR -- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms -- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features -- Instance selection techniques for large volumes of data. |
Record Nr. | UNINA-9910765481303321 |
Quaresma Paulo
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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