Miguel Angel Lozano

Orcid: 0000-0002-4757-5587

According to our database1, Miguel Angel Lozano authored at least 50 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Addressing Membership Inference Attack in Federated Learning with Model Compression.
CoRR, 2023

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters.
CoRR, 2023

2022
A Snapshot of the Frontiers of Client Selection in Federated Learning.
Trans. Mach. Learn. Res., 2022

Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks.
Eng. Appl. Artif. Intell., 2022

Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Network embedding from the line graph: Random walkers and boosted classification.
Pattern Recognit. Lett., 2021

Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

BIASeD: Bringing Irrationality into Automated System Design.
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, 2021

2020
An efficient, dense and long-range marker system for the guidance of the visually impaired.
Mach. Vis. Appl., 2020

Seeking affinity structure: Strategies for improving m-best graph matching.
Inf. Sci., 2020

Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor.
Entropy, 2020

The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

2019
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint.
Pattern Recognit. Lett., 2019

Dirichlet densifiers for improved commute times estimation.
Pattern Recognit., 2019

Network Embedding by Walking on the Line Graph.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018
Dirichlet Densifiers: Beyond Constraining the Spectral Gap.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Semi-supervised Graph Rewiring with the Dirichlet Principle.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Hand Gesture Detection with Convolutional Neural Networks.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

2017
Graph Similarity through Entropic Manifold Alignment.
SIAM J. Imaging Sci., 2017

The mutual information between graphs.
Pattern Recognit. Lett., 2017

2016
Dirichlet Graph Densifiers.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

2015
Aerial Obstacle Detection With 3-D Mobile Devices.
IEEE J. Biomed. Health Informatics, 2015

Skeletal Graphs from Schrödinger Magnitude and Phase.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

2013
Graph matching and clustering using kernel attributes.
Neurocomputing, 2013

Information-Theoretic Dissimilarities for Graphs.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

TurboTensors for Entropic Image Comparison.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

2011
Information-Geometric Graph Indexing from Bags of Partial Node Coverages.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

Graph matching through entropic manifold alignment.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach.
Proceedings of the Structural, 2010

Heat Flow-Thermodynamic Depth Complexity in Networks.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Bypass information-theoretic shape similarity from non-rigid points-based alignment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Region and constellations based categorization of images with unsupervised graph learning.
Image Vis. Comput., 2009

A robust Graph Transformation Matching for non-rigid registration.
Image Vis. Comput., 2009

Kernelization of Softassign and Motzkin-Strauss Algorithms.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

2008
Polytopal Graph Complexity, Matrix Permanents, and Embedding.
Proceedings of the Structural, 2008

Birkhoff polytopes, heat kernels and graph complexity.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Constellations and the Unsupervised Learning of Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

Graph-Based Methods for Retinal Mosaicing and Vascular Characterization.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

2006
Protein classification by matching and clustering surface graphs.
Pattern Recognit., 2006

2005
Local Entropic Graphs for Globally-Consistent Graph Matching.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

Protein Classification with Kernelized Softassign.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

2004
A Significant Improvement of Softassign with Diffusion Kernels.
Proceedings of the Structural, 2004

Structural Recognition with Kernelized Softassign.
Proceedings of the Advances in Artificial Intelligence, 2004

Regularization Kernels and Softassign.
Proceedings of the Progress in Pattern Recognition, 2004

2003
ACM Attributed Graph Clustering for Learning Classes of Images.
Proceedings of the Graph Based Representations in Pattern Recognition, 2003

EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Two New Scale-Adapted Texture Descriptors for Image Segmentation.
Proceedings of the Progress in Pattern Recognition, 2003

2002
Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching.
Proceedings of the Advances in Artificial Intelligence, 2002


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