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Autor Marreiros, Goreti |
Documentos disponibles escritos por este autor (2)
Crear una solicitud de compra Refinar búsquedaAmbient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017) / De Paz, Juan F. ; Julián, Vicente ; Villarrubia, Gabriel ; Marreiros, Goreti ; Novais, Paulo
TÃtulo : Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017) Tipo de documento: documento electrónico Autores: De Paz, Juan F., ; Julián, Vicente, ; Villarrubia, Gabriel, ; Marreiros, Goreti, ; Novais, Paulo, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XX, 279 p. 140 ilustraciones, 128 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-61118-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia Computacional Inteligencia artificial Clasificación: 006.3 Resumen: La Inteligencia Ambiental (AmI) es un paradigma reciente que surge de la Inteligencia Artificial, en el que las computadoras se utilizan como herramientas proactivas para ayudar a las personas con sus actividades diarias, haciendo sus vidas más cómodas. Otro objetivo principal de AmI se origina en el dominio de la interacción persona/computadora y se enfoca en ofrecer formas de interactuar con los sistemas de una manera más natural mediante interfaces fáciles de usar. Este campo está evolucionando rápidamente, como lo pueden atestiguar los tipos de interacción emergentes basados ​​en el lenguaje natural y en los gestos. La inclusión del poder computacional y las tecnologÃas de la comunicación en los objetos cotidianos está creciendo, y su integración en nuestros entornos deberÃa ser lo más invisible posible. Para que AmI tenga éxito, la interacción humana con la potencia informática y los sistemas integrados del entorno debe ser fluida y sin que la gente se dé cuenta. Lo único que las personas deberÃan notar en relación con AmI es más seguridad, comodidad y bienestar, que surgen de una manera natural e inherente. ISAmI es el Simposio Internacional sobre Inteligencia Ambiental y tiene como objetivo reunir a investigadores de las diversas disciplinas que constituyen el campo cientÃfico de la Inteligencia Ambiental para presentar y discutir los últimos resultados, nuevas ideas, proyectos y lecciones aprendidas, especialmente en términos de software y aplicaciones. Nota de contenido: Collection of state information in live digital forensics -- MuSec: Soni cation of alarms generated by a SIEM -- Collision detection system using mobile devices and PANGEA -- Content-based Image Retrieval in Augmented Reality -- Electric Vehicle Urban Exploration by Anti-pheromone Swarm based Algorithms -- Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets -- A Review of Multi-Agent Based Energy Management Systems -- A Hospital Service Kiosk in the Patient's Pocket -- Development of a hybrid application for psychotic disorders self-management -- Defining an Architecture for a Ubiquitous Group Decision Support System table>. Tipo de medio : Computadora Summary : Ambient Intelligence (AmI) is a recent paradigm emerging from Artificial Intelligence, in which computers are used as proactive tools to assist people with their day-to-day activities, making their lives more comfortable. Another main goal of AmI originates from the human/computer interaction domain and focuses on offering ways to interact with systems in a more natural way by means of user-friendly interfaces. This field is evolving quickly, as can be witnessed by the emerging natural-language-based and gesture-based types of interaction. The inclusion of computational power and communication technologies in everyday objects is growing, and their embeddedness in our environments should be as invisible as possible. Inorder for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and take place without people actually noticing it. The only things people should notice in connection with AmI are more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence and aims to bring together researchers from the various disciplines that constitute the scientific field of Ambient Intelligence to present and discuss the latest results, new ideas, projects and lessons learned, especially in terms of software and applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017) [documento electrónico] / De Paz, Juan F., ; Julián, Vicente, ; Villarrubia, Gabriel, ; Marreiros, Goreti, ; Novais, Paulo, . - 1 ed. . - [s.l.] : Springer, 2017 . - XX, 279 p. 140 ilustraciones, 128 ilustraciones en color.
ISBN : 978-3-319-61118-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia Computacional Inteligencia artificial Clasificación: 006.3 Resumen: La Inteligencia Ambiental (AmI) es un paradigma reciente que surge de la Inteligencia Artificial, en el que las computadoras se utilizan como herramientas proactivas para ayudar a las personas con sus actividades diarias, haciendo sus vidas más cómodas. Otro objetivo principal de AmI se origina en el dominio de la interacción persona/computadora y se enfoca en ofrecer formas de interactuar con los sistemas de una manera más natural mediante interfaces fáciles de usar. Este campo está evolucionando rápidamente, como lo pueden atestiguar los tipos de interacción emergentes basados ​​en el lenguaje natural y en los gestos. La inclusión del poder computacional y las tecnologÃas de la comunicación en los objetos cotidianos está creciendo, y su integración en nuestros entornos deberÃa ser lo más invisible posible. Para que AmI tenga éxito, la interacción humana con la potencia informática y los sistemas integrados del entorno debe ser fluida y sin que la gente se dé cuenta. Lo único que las personas deberÃan notar en relación con AmI es más seguridad, comodidad y bienestar, que surgen de una manera natural e inherente. ISAmI es el Simposio Internacional sobre Inteligencia Ambiental y tiene como objetivo reunir a investigadores de las diversas disciplinas que constituyen el campo cientÃfico de la Inteligencia Ambiental para presentar y discutir los últimos resultados, nuevas ideas, proyectos y lecciones aprendidas, especialmente en términos de software y aplicaciones. Nota de contenido: Collection of state information in live digital forensics -- MuSec: Soni cation of alarms generated by a SIEM -- Collision detection system using mobile devices and PANGEA -- Content-based Image Retrieval in Augmented Reality -- Electric Vehicle Urban Exploration by Anti-pheromone Swarm based Algorithms -- Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets -- A Review of Multi-Agent Based Energy Management Systems -- A Hospital Service Kiosk in the Patient's Pocket -- Development of a hybrid application for psychotic disorders self-management -- Defining an Architecture for a Ubiquitous Group Decision Support System table>. Tipo de medio : Computadora Summary : Ambient Intelligence (AmI) is a recent paradigm emerging from Artificial Intelligence, in which computers are used as proactive tools to assist people with their day-to-day activities, making their lives more comfortable. Another main goal of AmI originates from the human/computer interaction domain and focuses on offering ways to interact with systems in a more natural way by means of user-friendly interfaces. This field is evolving quickly, as can be witnessed by the emerging natural-language-based and gesture-based types of interaction. The inclusion of computational power and communication technologies in everyday objects is growing, and their embeddedness in our environments should be as invisible as possible. Inorder for AmI to be successful, human interaction with computing power and embedded systems in the surroundings should be smooth and take place without people actually noticing it. The only things people should notice in connection with AmI are more safety, comfort and wellbeing, emerging in a natural and inherent way. ISAmI is the International Symposium on Ambient Intelligence and aims to bring together researchers from the various disciplines that constitute the scientific field of Ambient Intelligence to present and discuss the latest results, new ideas, projects and lessons learned, especially in terms of software and applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Progress in Artificial Intelligence : 20th EPIA Conference on Artificial Intelligence, EPIA 2021, Virtual Event, September 7–9, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Marreiros, Goreti, ; Melo, Francisco S., ; Lau, Nuno, ; Lopes Cardoso, Henrique, ; Reis, LuÃs Paulo, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXX, 803 p. 229 ilustraciones, 181 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86230-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Red de computadoras Software de la aplicacion Computadoras Propósitos especiales Redes de comunicación informática Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 20.ª Conferencia EPIA sobre Inteligencia Artificial, EPIA 2021, celebrada virtualmente en septiembre de 2021. Los 62 artÃculos completos y 6 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados de un total de 108 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: inteligencia artificial e IoT en la agricultura; inteligencia artificial y derecho; inteligencia artificial en medicina; inteligencia artificial en sistemas de potencia y energÃa; inteligencia artificial en sistemas de transporte; vida artificial y algoritmos evolutivos; inteligencia ambiental y entornos afectivos; IA general; robótica inteligente; descubrimiento de conocimientos e inteligencia empresarial; sistemas multiagente: teorÃa y aplicaciones; y minerÃa de textos y aplicaciones. Nota de contenido: Artificial Intelligence and IoT in Agriculture -- Autonomous Robot Visual-only Guidance in Agriculture using Vanishing Point Estimation -- Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach -- Tomato Detection Using Deep Learning For Robotics Application -- Predicting Predawn Leaf Water Potential up to seven days using Machine Learning -- Artificial Intelligence and Law -- Towards Ethical Judicial Analytics: Assessing Readability of Immigration and Asylum Decisions in the United Kingdom -- A comparison of classification methods applied to legal text data -- Artificial Intelligence in Medicine -- Aiding clinical triage with text classification -- A web-based telepsychology platform prototype using Cloud Computing and Deep Learning tools -- Detecting, Predicting, and Preventing Driver Drowsiness with Wrist-Wearable Devices -- The evolution of Artificial Intelligence in Medical Informatics: a bibliometric analysis -- Artificial Intelligence in Power and Energy Systems -- Optimizing Energy Consumption of Household Appliances using PSO and GWO -- Metaheuristics for Optimal Scheduling of Appliances in Energy Efficient Neighbourhoods -- Multitask Learning for Predicting Natural Flows: a Case Study at Paraiba do Sul River -- PV Generation Forecasting Model for Energy Management in Buildings -- Automatic evolutionary settings of machine learning methods for buildings' thermal loads prediction -- Artificial Intelligence in Transportation Systems -- Minimising Fleet Times in Multi-Depot Pickup and Dropo Problems -- Solving a Bilevel Problem with Station Locationand Vehicle Routing using Variable Neighborhood Descent and Ant Colony Optimization -- Artificial Life and Evolutionary Algorithms -- Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface -- FERMAT: Feature Engineering with Grammatical Evolution -- Ambient Intelligence and Affective Environments -- A Reputation Score Proposalfor Online Video Platforms -- A Reinforcement Learning Approach to Improve User Achievement of Health-Related Goals -- Urban Human Mobility modelling and prediction: Impact of Comfort and Well-Being Indicators -- Comparison of Transfer Learning Behavior in Violence Detection with different Public Datasets -- General AI -- Deep neural network architectures for Speech Deception Detection: a brief survey -- 3DSRASG: 3D Scene Retrieval and Augmentation using Semantic Graphs -- Revisiting \Recurrent World Models Facilitate Policy Evolution" -- Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL -- The DeepONets for finance: An approach to calibrate the Heston Model -- Faster than LASER - Towards Stream Reasoning with Deep Neural Networks -- Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling -- A Chatbot for Recipe Recommendation and Preference Modeling -- Intelligent Robotics -- Exploiting Symmetry in Human Robot-Assisted Dressing using Reinforcement Learning -- I2SL: learn how to swarm autonomous quadrotors using Iterative Imitation Supervised Learning -- Neural network classifier and robotic manipulation for an autonomous industrial cork feeder -- NOPL - Notification Oriented Programming Language - A new Language, and its application to program a robotic soccer team -- Compound Movement Recognition using Dynamic Movement Primitives -- Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance -- Knowledge Discovery and Business Intelligence -- Generalised Partial Association in Causal Rules Discovery -- Dynamic Topic Modeling using Social Network Analytics -- Imbalanced Learning in Assessing the Risk of Corruption in Public Administration -- Modelling voting behaviour during a general election campaign using dynamic Bayesian networks -- ESTHER: A Recommendation System for Higher Education Programs -- A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions -- A Comparisonof Machine Learning Methods for Extremely Unbalanced Industrial Quality Data -- Towards Top-up Prediction on Telco Operators -- Biomedical Knowledge Graph Embeddings for Personalized Medicine -- Deploying a speech therapy game using a deep neural network sibilant consonants classifier -- Data Streams for Unsupervised Analysis of Company Data -- Multi-Agent Systems: Theory and Applications -- One Arm to Rule Them All: Online Learning with Multi-armed Bandits for Low-resource Conversational Agents -- Helping People On The Fly: Ad Hoc Teamwork for Human-Robot Teams -- Ad hoc teamwork in the presence of non-stationary teammates -- Carbon Market Multi-Agent Simulation Model -- Cloud Based Decision Making for Multi-Agent Production Systems -- A Data-driven Simulator for Assessing Decision-making in Soccer -- Text Mining and Applications -- CyberPolice: Classification of Cyber Sexual Harassment -- Neural Text Categorization with Transformers for learning Portuguese as a Second Language -- MoreData is Better only to Some Level, after which It is Harmful:profiling Neural Machine Translation Self-Learning with Back-Translation.-- Answering Fill-in-the-Blank Questions in Portuguese with Transformer Language Models -- Cross-Lingual Annotation Projection for Argument Mining in Portuguese -- Acceptance Decision Prediction in Peer-Review through Sentiment Analysis -- Application of Data Augmentation techniques for Hate Speech Detection with Deep Learning -- Automated Fake News detection using Computational Forensic Linguistics. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 20th EPIA Conference on Artificial Intelligence, EPIA 2021, held virtually in September 2021. The 62 full papers and 6 short papers presented were carefully reviewed and selected from a total of 108 submissions. The papers are organized in the following topical sections: artificial intelligence and IoT in agriculture; artificial intelligence and law; artificial intelligence in medicine; artificial intelligence in power and energy systems; artificial intelligence in transportation systems; artificial life and evolutionary algorithms; ambient intelligence and affective environments; general AI; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; and text mining and applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Progress in Artificial Intelligence : 20th EPIA Conference on Artificial Intelligence, EPIA 2021, Virtual Event, September 7–9, 2021, Proceedings / [documento electrónico] / Marreiros, Goreti, ; Melo, Francisco S., ; Lau, Nuno, ; Lopes Cardoso, Henrique, ; Reis, LuÃs Paulo, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXX, 803 p. 229 ilustraciones, 181 ilustraciones en color.
ISBN : 978-3-030-86230-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Red de computadoras Software de la aplicacion Computadoras Propósitos especiales Redes de comunicación informática Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 20.ª Conferencia EPIA sobre Inteligencia Artificial, EPIA 2021, celebrada virtualmente en septiembre de 2021. Los 62 artÃculos completos y 6 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados de un total de 108 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: inteligencia artificial e IoT en la agricultura; inteligencia artificial y derecho; inteligencia artificial en medicina; inteligencia artificial en sistemas de potencia y energÃa; inteligencia artificial en sistemas de transporte; vida artificial y algoritmos evolutivos; inteligencia ambiental y entornos afectivos; IA general; robótica inteligente; descubrimiento de conocimientos e inteligencia empresarial; sistemas multiagente: teorÃa y aplicaciones; y minerÃa de textos y aplicaciones. Nota de contenido: Artificial Intelligence and IoT in Agriculture -- Autonomous Robot Visual-only Guidance in Agriculture using Vanishing Point Estimation -- Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach -- Tomato Detection Using Deep Learning For Robotics Application -- Predicting Predawn Leaf Water Potential up to seven days using Machine Learning -- Artificial Intelligence and Law -- Towards Ethical Judicial Analytics: Assessing Readability of Immigration and Asylum Decisions in the United Kingdom -- A comparison of classification methods applied to legal text data -- Artificial Intelligence in Medicine -- Aiding clinical triage with text classification -- A web-based telepsychology platform prototype using Cloud Computing and Deep Learning tools -- Detecting, Predicting, and Preventing Driver Drowsiness with Wrist-Wearable Devices -- The evolution of Artificial Intelligence in Medical Informatics: a bibliometric analysis -- Artificial Intelligence in Power and Energy Systems -- Optimizing Energy Consumption of Household Appliances using PSO and GWO -- Metaheuristics for Optimal Scheduling of Appliances in Energy Efficient Neighbourhoods -- Multitask Learning for Predicting Natural Flows: a Case Study at Paraiba do Sul River -- PV Generation Forecasting Model for Energy Management in Buildings -- Automatic evolutionary settings of machine learning methods for buildings' thermal loads prediction -- Artificial Intelligence in Transportation Systems -- Minimising Fleet Times in Multi-Depot Pickup and Dropo Problems -- Solving a Bilevel Problem with Station Locationand Vehicle Routing using Variable Neighborhood Descent and Ant Colony Optimization -- Artificial Life and Evolutionary Algorithms -- Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface -- FERMAT: Feature Engineering with Grammatical Evolution -- Ambient Intelligence and Affective Environments -- A Reputation Score Proposalfor Online Video Platforms -- A Reinforcement Learning Approach to Improve User Achievement of Health-Related Goals -- Urban Human Mobility modelling and prediction: Impact of Comfort and Well-Being Indicators -- Comparison of Transfer Learning Behavior in Violence Detection with different Public Datasets -- General AI -- Deep neural network architectures for Speech Deception Detection: a brief survey -- 3DSRASG: 3D Scene Retrieval and Augmentation using Semantic Graphs -- Revisiting \Recurrent World Models Facilitate Policy Evolution" -- Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL -- The DeepONets for finance: An approach to calibrate the Heston Model -- Faster than LASER - Towards Stream Reasoning with Deep Neural Networks -- Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling -- A Chatbot for Recipe Recommendation and Preference Modeling -- Intelligent Robotics -- Exploiting Symmetry in Human Robot-Assisted Dressing using Reinforcement Learning -- I2SL: learn how to swarm autonomous quadrotors using Iterative Imitation Supervised Learning -- Neural network classifier and robotic manipulation for an autonomous industrial cork feeder -- NOPL - Notification Oriented Programming Language - A new Language, and its application to program a robotic soccer team -- Compound Movement Recognition using Dynamic Movement Primitives -- Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance -- Knowledge Discovery and Business Intelligence -- Generalised Partial Association in Causal Rules Discovery -- Dynamic Topic Modeling using Social Network Analytics -- Imbalanced Learning in Assessing the Risk of Corruption in Public Administration -- Modelling voting behaviour during a general election campaign using dynamic Bayesian networks -- ESTHER: A Recommendation System for Higher Education Programs -- A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions -- A Comparisonof Machine Learning Methods for Extremely Unbalanced Industrial Quality Data -- Towards Top-up Prediction on Telco Operators -- Biomedical Knowledge Graph Embeddings for Personalized Medicine -- Deploying a speech therapy game using a deep neural network sibilant consonants classifier -- Data Streams for Unsupervised Analysis of Company Data -- Multi-Agent Systems: Theory and Applications -- One Arm to Rule Them All: Online Learning with Multi-armed Bandits for Low-resource Conversational Agents -- Helping People On The Fly: Ad Hoc Teamwork for Human-Robot Teams -- Ad hoc teamwork in the presence of non-stationary teammates -- Carbon Market Multi-Agent Simulation Model -- Cloud Based Decision Making for Multi-Agent Production Systems -- A Data-driven Simulator for Assessing Decision-making in Soccer -- Text Mining and Applications -- CyberPolice: Classification of Cyber Sexual Harassment -- Neural Text Categorization with Transformers for learning Portuguese as a Second Language -- MoreData is Better only to Some Level, after which It is Harmful:profiling Neural Machine Translation Self-Learning with Back-Translation.-- Answering Fill-in-the-Blank Questions in Portuguese with Transformer Language Models -- Cross-Lingual Annotation Projection for Argument Mining in Portuguese -- Acceptance Decision Prediction in Peer-Review through Sentiment Analysis -- Application of Data Augmentation techniques for Hate Speech Detection with Deep Learning -- Automated Fake News detection using Computational Forensic Linguistics. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 20th EPIA Conference on Artificial Intelligence, EPIA 2021, held virtually in September 2021. The 62 full papers and 6 short papers presented were carefully reviewed and selected from a total of 108 submissions. The papers are organized in the following topical sections: artificial intelligence and IoT in agriculture; artificial intelligence and law; artificial intelligence in medicine; artificial intelligence in power and energy systems; artificial intelligence in transportation systems; artificial life and evolutionary algorithms; ambient intelligence and affective environments; general AI; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; and text mining and applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
