Listar Ponencias (Ciencias de la Computación e Inteligencia Artificial) por título
Mostrando ítems 134-153 de 442
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Ponencia
Data-in-the-cloud City: Análisis proactivo de la información digital de la ciudad
(Universidad de Coimbra, 2011) -
Ponencia
DCBA: Simulating Population Dynamics P Systems with Proportional Object Distribution
(Fénix Editora, 2012)Population Dynamics P systems refer to a formal framework for ecological modelling. The semantics of the model associates ...
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Ponencia
Decision-Theoretic Planning with Person Trajectory Prediction for Social Navigation
(Springer, 2015)Robots navigating in a social way should reason about people intentions when acting. For instance, in applications like ...
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Ponencia
Deducción Automática en Anillos Ternarios: Algunos Métodos de Procesamiento del Conocimiento Matemático
(Universidad de Sevilla - Fundación El Monte, 2001) -
Ponencia
Deductive Databases and P Systems
(Fénix Editora, 2004)In computational processes based on backwards chaining, a rule of the type A Ã B1; : : : ;Bn is seen as a procedure which ...
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Ponencia
Deep Learning based Beat Event Detection in Action Movie Franchises
(SPIE Digital Library, 2018)Automatic understanding and interpretation of movies can be used in a variety of ways to semantically manage the massive ...
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Ponencia
Dependency Graph Technique Revisited
(IMCS: International Membrane Computing Society, 2019)The dependency graph technique was initially thought as a method to find short paths in the computation tree of a membrane ...
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Ponencia
Depth-First Search with P Systems
(Springer, 2011)The usual way to find a solution for an NP complete problem in Membrane Computing is by brute force algorithms. These ...
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Ponencia
Descriptional Complexity of Tissue-Like P Systems with Cell Division
(Springer, 2009)In this paper we address the problem of describing the complexity of the evolution of a tissue-like P system with cell ...
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Ponencia
Design of Specific P Systems Simulators on GPUs
(Springer, 2018)In order to validate P system models and to assist on their formal verification, simulators are indispensable. Moreover, ...
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Ponencia
Designing Tissue-like P Systems for Image Segmentation on Parallel Architectures
(Fénix Editora, 2011)Problems associated with the treatment of digital images have several interesting features from a bio-inspired point of ...
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Ponencia
DisMatch results for OAEI 2016
(CEUR-WS.Org, 2016)DisMatch is an experimental ontology matching system based on the use of corpus based distributional measure for approximating ...
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Ponencia
Docking Inter/Intra-Molecular Mediante Metaheurísticas Multi-objetivo
(MAEB, 2015)El Acoplamiento Molecular (Molecular Docking) es un problema de optimización de gran complejidad que consiste en predecir ...
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Ponencia
dP Automata versus Right-Linear Simple Matrix Grammars
(Fénix Editora, 2011)We consider dP automata with the input string distributed in an arbitrary (hence not necessary balanced) way, and we ...
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Ponencia
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
(Springer, 2016)Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the ...
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Ponencia
Editing Configurations of P Systems
(Fénix Editora, 2005)This paper proposes and preliminarily investigates the possibility of transforming a configuration (membrane structure and ...
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Artículo
Editorial. Foreword. Special Issue: A selection of papers from the 10th Brainstorming Week on Membrane Computing
(Taylor and Francis, 2013) -
Ponencia
Efficiency of Tissue P Systems with Cell Separation
(Fénix Editora, 2009)The most investigated variants of P systems in the last years are cell-like models, especially in terms of efficiency. ...
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Ponencia
Emergent Concepts on Knowledge Intensive Processes
(Springer, 2014)An approach to refine and revise the general framework of KiP (Knowledge Intensive Process) is presented. The specific ...
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Ponencia
Empirical computation of the quasi-optimal number of informants in particle swarm optimization
(ACM Digital Library, 2011)In the standard particle swarm optimization (PSO), a new particle’s position is generated using two main informant ...