david.dominguez@uam.es
Grupo
Neurocomputación Biológica. Universidad Autónoma de Madrid. Ciudad Universitaria de Cantoblanco. Madrid. 28049
Departamento Universitario
Ingeniería Informática. Universidad Autónoma de Madrid. Ciudad Universitaria de Cantoblanco. Madrid. 28049
Centro
Escuela Politécnica Superior. Universidad Autónoma de Madrid. Ciudad Universitaria de Cantoblanco. Madrid. 28049
Área de Conocimiento
Ciencias Computación E Inteligencia Artificial
DOMINGUEZ CARRETA, DAVID RENATO
iMarina ID: 04-260058
Timeline
septiembre de 1997
Doctorado: DOCTOR EN FÍSICA
M.E.C. HOMOLOGACIÓN TITULACIÓN
Tramos de Docencia
Quinquenios
3
Año último Quinquenio: 2015
Tramos de Transferencia
Tramos de Investigación
Sexenios
4
Año último Sexenio: 2017
ESI: Altamente citado
Highly Cited Researcher in the field of Social Sciences - 2018
Timeline
noviembre de 2020
Profesor Titular Universidad
Universidad Autónoma de Madrid. Ingeniería Informática
   2020 -
diciembre de 2018
Miembro
Universidad Autónoma de Madrid. Neurocomputación Biológica
   2018 -
enero de 2015
Prof. contratado Doctor LOU(020020063). Ingeniería Informática
Universidad Autónoma de Madrid
   2015 - 2020
febrero de 2013
Prof. contratado Doctor LOU(020020063). Ingeniería Informática - Excedencia
Universidad Autónoma de Madrid
   2013 - 2014
diciembre de 2005
Profesor Contratado Doctor LOU. Ingeniería Informática
Universidad Autónoma de Madrid
   2005 - 2020
octubre de 2000
X_Profesor Asociado LRU en Universidad Complutense de Madrid
Universidad Complutense de Madrid
   2000 - 2001
octubre de 1999
X_Profesor Asociado LRU en Universidad Rey Juan Carlos
Universidad Rey Juan Carlos
   1999 - 2000
octubre de 1998
X_Ayudante de E.U. LRU en Universidad Rey Juan Carlos
Universidad Rey Juan Carlos
   1998 - 1999
marzo de 1996
Profesor Visitante LRU . Ingeniería Informática
Universidad Autónoma de Madrid
   1996 - 1996
Publicaciones en Altmetrics
| 2021 | Ensemble of diluted attractor networks with optimized topology for fingerprint r... | |
| 2020 | Panama Papers' offshoring network behavior | |
| 2019 | Soft-computing modeling and prediction of gender equality | |
| 2019 | Fingerprint Retrieval Using a Specialized Ensemble of Attractor Networks | |
| 2019 | Ensemble of Attractor Networks for 2D Gesture Retrieval | |
| 2019 | A classification and data visualization tool applied to human migration analysis | |
| 2018 | Mapping global sustainability report scoring: a detailed analysis of Europe and ... | |
| 2018 | Periodically diluted BEGNN model of corruption perception | |
| 2018 | Modeling sustainability reporting with ternary attractor neural networks | |
| 2018 | Mapping the global offshoring network through the Panama papers | |
| 2017 | Capacity and Retrieval of a Modular Set of Diluted Attractor Networks with Respe... | |
| 2017 | Increase attractor capacity using an ensembled neural network | |
| 2016 | Structured patterns retrieval using a metric attractor network: Application to f... | |
| 2015 | Modeling sustainability report scoring sequences using an attractor network | |
| 2015 | Random field Ising model in a random graph | |
| 2014 | RETRIEVAL OF NOISY FINGERPRINT PATTERNS USING METRIC ATTRACTOR NETWORKS | |
| 2012 | Structured information in sparse-code metric neural networks | |
| 2011 | Learning sequences of sparse correlated patterns using small-world attractor neu... | |
| 2009 | Structured information in small-world neural networks | |
| 2009 | Block attractor in spatially organized neural networks | |
| 2007 | Block information and topology in memory networks | |
| 2007 | Information and topology in attractor neural networks | |
| 2004 | Mutual information and topology 2: Symmetric network | |
| 2004 | Mutual Information and Topology 1: Asymmetric Neural Network | |
| 2003 | The antiquadrupolar phase of the biquadratic neural network | |
| 2003 | Time evolution of the extremely diluted Blume-Emery-Griffiths neural network | |
| 2002 | Flow diagrams of the quadratic neural network | |
| 2000 | Mutual information and self-control of a fully-connected low-activity neural net... | |
| 2000 | Mutual information of sparsely coded associative memory with self-control and te... | |
| 2000 | Three-state neural network: From mutual information to the Hamiltonian | |
| 1999 | Numerical simulation of a binary communication channel: Comparison between a rep... | |
| 1999 | Categorization in fully connected multistate neural network models | |
| 1998 | Information capacity of a hierarchical neural network | |
| 1998 | Self-control in sparsely coded networks | |
| 1997 | Categorization by a three-state attractor neural network | |
| 1997 | Generalization and chaos in a layered neural network | |
| 1996 | Generalization in a multi-state neural network | |
| 1996 | Inference and chaos by a network of nonmonotonic neurons | |
| 1995 | DYNAMICS OF ISING RANDOM-BOND MODELS - NEURAL-NETWORK AND RANDOM-ANISOTROPY-AXIS... | |
| 1993 | MEAN-FIELD THEORY OF THE ISING RANDOM-ANISOTROPY-AXIS MODEL IN THE LARGE-COMPONE... | |
| 1989 | POTTS-MODEL IN A RANDOM FIELD |
Temáticas más frecuentes
Temáticas
Proyectos participados
Dirección y participación en proyectos
IP
NO IP
Grupos, Redes
Neurocomputación Biológica
Asignatura / Curso
Actividad docente
Tesis Dirigidas
2
Centros
Universidad Autónoma de Madrid
URJC
UAM
UCM
PUC
Colaboración institucional últimos 5 años








