Estimating Static And Dynamic Brain Networks By Kulback-Leibler Divergence From Fmri Data | 0 | 0.34 | 2020 |
On The Entropy Of Brain Anatomic Regions For Complex Problem Solving | 0 | 0.34 | 2019 |
Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks | 0 | 0.34 | 2019 |
On the Brain Networks of Complex Problem Solving. | 0 | 0.34 | 2018 |
Decoding cognitive subtasks of complex problem solving using fMRI signals. | 0 | 0.34 | 2018 |
A dynamic network representation of fMRI for modeling and analyzing the problem solving task | 1 | 0.41 | 2018 |
Modeling Brain Networks with Artificial Neural Networks. | 1 | 0.35 | 2018 |
Multi-way, multilingual neural machine translation. | 7 | 0.56 | 2017 |
An energy efficient additive neural network. | 0 | 0.34 | 2017 |
Cognitive learner: An ensemble learning architecture for cognitive state classification. | 1 | 0.35 | 2017 |
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning | 0 | 0.34 | 2017 |
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. | 0 | 0.34 | 2016 |
A Self-Supervised Decision Fusion Framework for Building Detection. | 0 | 0.34 | 2016 |
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. | 0 | 0.34 | 2016 |
Zero-Resource Translation with Multi-Lingual Neural Machine Translation. | 27 | 0.97 | 2016 |
Learning Deep Temporal Representations for fMRI Brain Decoding. | 2 | 0.42 | 2015 |
Modeling Voxel Connectivity for Brain Decoding | 4 | 0.42 | 2015 |
Discriminative Functional Connectivity Measures for Brain Decoding. | 0 | 0.34 | 2014 |
Learning Deep Temporal Representations for Brain Decoding. | 0 | 0.34 | 2014 |
Segmentation and decision fusion for building detection | 1 | 0.35 | 2014 |
An information theoretic approach to classify cognitive states using fMRI. | 2 | 0.40 | 2013 |
Cognitive process representation with minimum spanning tree of local meshes | 0 | 0.34 | 2013 |
Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding | 0 | 0.34 | 2013 |
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. | 38 | 1.23 | 2013 |
Fusion Of Image Segmentation Algorithms Using Consensus Clustering | 0 | 0.34 | 2013 |
Information distribution analysis in the fMRI measurements with degree of locality estimation | 0 | 0.34 | 2013 |
Mesh learning approach for brain data modeling | 0 | 0.34 | 2012 |
A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance | 1 | 0.37 | 2012 |
Smarter security in the smart grid | 5 | 0.57 | 2012 |
Distributed models for sparse attack construction and state vector estimation in the smart grid | 8 | 0.57 | 2012 |
Conditional random fields for land use/land cover classification and complex region detection | 1 | 0.37 | 2012 |
Mesh Learning for Classifying Cognitive Processes | 15 | 0.84 | 2012 |
Automatic Image Annotation By Ensemble Of Visual Descriptors | 17 | 1.03 | 2007 |
Design of a feature set for face recognition problem | 1 | 0.38 | 2006 |
Shape similarity measurement for boundary based features | 1 | 0.37 | 2005 |
BAS: a perceptual shape descriptor based on the beam angle statistics | 94 | 2.61 | 2003 |
A compact shape descriptor based on the beam angle statistics | 2 | 0.49 | 2003 |
Learning similarity space | 5 | 0.46 | 2002 |
Multi-Level Image Segmentation And Object Representation For Content Based Image Retrieval | 0 | 0.34 | 2001 |
A Shape Descriptor Based on Circular Hidden Markov Model | 26 | 1.24 | 2000 |
Morphing as a Tool for Motion Modeling | 1 | 0.37 | 1999 |
A heuristic algorithm for optical character recognition of Arabic script | 16 | 1.91 | 1997 |
Similarity Measures for Binary and Grey Level Markov Random Field Textures | 0 | 0.34 | 1997 |
Optical Character Recognition Without Segmentation | 7 | 0.78 | 1997 |
Noise, histogram and cluster validity for Gaussian-mixtured data | 3 | 2.87 | 1987 |