Miguel Angel Lozano

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 27

Top Topics

Gesture Recognition

Top Venues

Pattern Recognit. Lett.

Publications

Aditya Gulati, Marina Martinez-Garcia, Daniel Fernandez, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver
What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters. CoRR (2024)
Ahmed Begga, Miguel Angel Lozano, Francisco Escolano
HEX-GNN: Hierarchical EXpanders for Node Classification. CAEPIA (2024)
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR (2023)
Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
Addressing Membership Inference Attack in Federated Learning with Model Compression. CoRR (2023)
Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract). IJCAI (2022)
Samer Alashhab, Antonio-Javier Gallego, Miguel Angel Lozano
Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks. CoRR (2022)
Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver
BIASeD: Bringing Irrationality into Automated System Design. CoRR (2022)
Samer Alashhab, Antonio-Javier Gallego, Miguel Angel Lozano
Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks. Eng. Appl. Artif. Intell. 114 (2022)
Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver Ramirez
A Snapshot of the Frontiers of Client Selection in Federated Learning. Trans. Mach. Learn. Res. 2022 (2022)
Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
A Snapshot of the Frontiers of Client Selection in Federated Learning. CoRR (2022)
Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver
BIASeD: Bringing Irrationality into Automated System Design. TFSOCTAI@AAAI Fall Symposium (2021)
Miguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock
Network embedding from the line graph: Random walkers and boosted classification. Pattern Recognit. Lett. 143 (2021)
Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. ECML/PKDD (4) (2021)
Juan Manuel Sáez, Miguel Angel Lozano, Francisco Escolano, Javier Pita Lozano
An efficient, dense and long-range marker system for the guidance of the visually impaired. Mach. Vis. Appl. 31 (7) (2020)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Seeking affinity structure: Strategies for improving m-best graph matching. Inf. Sci. 509 (2020)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor. Entropy 22 (4) (2020)
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. S+SSPR (2020)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91 (2019)
Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. Pattern Recognit. Lett. 125 (2019)
Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock
Network Embedding by Walking on the Line Graph. GbRPR (2019)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Semi-supervised Graph Rewiring with the Dirichlet Principle. ICPR (2018)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Dirichlet Densifiers: Beyond Constraining the Spectral Gap. S+SSPR (2018)
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin Robert Hancock
net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking. ICPR (2018)
Samer Alashhab, Antonio-Javier Gallego, Miguel Angel Lozano
Hand Gesture Detection with Convolutional Neural Networks. DCAI (2018)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Graph Similarity through Entropic Manifold Alignment. SIAM J. Imaging Sci. 10 (2) (2017)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado
The mutual information between graphs. Pattern Recognit. Lett. 87 (2017)
Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock
Dirichlet Graph Densifiers. S+SSPR (2016)
Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano
Aerial Obstacle Detection With 3-D Mobile Devices. IEEE J. Biomed. Health Informatics 19 (1) (2015)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Skeletal Graphs from Schrödinger Magnitude and Phase. GbRPR (2015)
Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
Information-Theoretic Dissimilarities for Graphs. SIMBAD (2013)
Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano
TurboTensors for Entropic Image Comparison. GbRPR (2013)
Miguel Angel Lozano, Francisco Escolano
Graph matching and clustering using kernel attributes. Neurocomputing 113 (2013)
Francisco Escolano, Boyan Bonev, Miguel Angel Lozano
Information-Geometric Graph Indexing from Bags of Partial Node Coverages. GbRPR (2011)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Graph matching through entropic manifold alignment. CVPR (2011)
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock, Daniela Giorgi
What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach. SSPR/SPR (2010)
Francisco Escolano, Miguel Angel Lozano, Boyan Bonev, Pablo Suau
Bypass information-theoretic shape similarity from non-rigid points-based alignment. CVPR Workshops (2010)
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
Heat Flow-Thermodynamic Depth Complexity in Networks. ICPR (2010)
Wendy Aguilar, Yann Frauel, Francisco Escolano, M. Elena Martínez-Pérez, Arturo Espinosa-Romero, Miguel Angel Lozano
A robust Graph Transformation Matching for non-rigid registration. Image Vis. Comput. 27 (7) (2009)
Miguel Angel Lozano, Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Juan Manuel Sáez, Miguel Cazorla
Region and constellations based categorization of images with unsupervised graph learning. Image Vis. Comput. 27 (7) (2009)
Miguel Angel Lozano, Francisco Escolano
Kernelization of Softassign and Motzkin-Strauss Algorithms. IWANN (1) (2009)
Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel Angel Lozano, Bianca Falcidieno
Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. GbRPR (2009)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR (2008)
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
Birkhoff polytopes, heat kernels and graph complexity. ICPR (2008)
Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar
Constellations and the Unsupervised Learning of Graphs. GbRPR (2007)
Wendy Aguilar, M. Elena Martínez-Pérez, Yann Frauel, Francisco Escolano, Miguel Angel Lozano, Arturo Espinosa-Romero
Graph-Based Methods for Retinal Mosaicing and Vascular Characterization. GbRPR (2007)
Miguel Angel Lozano, Francisco Escolano
Protein classification by matching and clustering surface graphs. Pattern Recognit. 39 (4) (2006)
Miguel Angel Lozano, Francisco Escolano
Protein Classification with Kernelized Softassign. GbRPR (2005)
Miguel Angel Lozano, Francisco Escolano
Local Entropic Graphs for Globally-Consistent Graph Matching. GbRPR (2005)
Miguel Angel Lozano, Francisco Escolano
Structural Recognition with Kernelized Softassign. IBERAMIA (2004)
Miguel Angel Lozano, Francisco Escolano
Regularization Kernels and Softassign. CIARP (2004)
Miguel Angel Lozano, Francisco Escolano
A Significant Improvement of Softassign with Diffusion Kernels. SSPR/SPR (2004)
Miguel Angel Lozano, Francisco Escolano
Two New Scale-Adapted Texture Descriptors for Image Segmentation. CIARP (2003)
Miguel Angel Lozano, Francisco Escolano
ACM Attributed Graph Clustering for Learning Classes of Images. GbRPR (2003)
Miguel Angel Lozano, Francisco Escolano
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. EMMCVPR (2003)
Miguel Angel Lozano, Francisco Escolano
Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. IBERAMIA (2002)