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ORCIDMiguel Angel Lozano
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2020 – today
- 2025
[j16]Ahmed Begga
, Francisco Escolano, Miguel Angel Lozano:
Node classification in the heterophilic regime via diffusion-jump GNNs. Neural Networks 181: 106830 (2025)- 2024
- [c34]Ahmed Begga, Miguel Angel Lozano, Francisco Escolano:
HEX-GNN: Hierarchical EXpanders for Node Classification. CAEPIA 2024: 233-242 - [i6]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 abs/2407.11981 (2024) - 2023
- [i5]Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR abs/2306.16976 (2023) - [i4]Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver:
Addressing Membership Inference Attack in Federated Learning with Model Compression. CoRR abs/2311.17750 (2023) - 2022
- [j15]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: 105188 (2022) - [j14]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) - [c33]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: 5304-5308 - [i3]Samer Alashhab, Antonio Javier Gallego, Miguel Angel Lozano:
Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks. CoRR abs/2205.06980 (2022) - [i2]Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver:
BIASeD: Bringing Irrationality into Automated System Design. CoRR abs/2210.01122 (2022) - [i1]Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver:
A Snapshot of the Frontiers of Client Selection in Federated Learning. CoRR abs/2210.04607 (2022) - 2021
- [j13]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: 36-42 (2021) - [c32]Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver:
BIASeD: Bringing Irrationality into Automated System Design. TFSOCTAI@AAAI Fall Symposium 2021 - [c31]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: 384-399 - 2020
- [j12]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): 465 (2020) - [j11]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Seeking affinity structure: Strategies for improving m-best graph matching. Inf. Sci. 509: 164-182 (2020) - [j10]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): 57 (2020) - [c30]Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. S+SSPR 2020: 195-204
2010 – 2019
- 2019
- [j9]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91: 56-68 (2019) - [j8]Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock:
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. Pattern Recognit. Lett. 125: 425-431 (2019) - [c29]Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock:
Network Embedding by Walking on the Line Graph. GbRPR 2019: 215-225 - 2018
- [c28]Samer Alashhab, Antonio Javier Gallego, Miguel Angel Lozano:
Hand Gesture Detection with Convolutional Neural Networks. DCAI 2018: 45-52 - [c27]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin Robert Hancock:
net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking. ICPR 2018: 1366-1371 - [c26]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Semi-supervised Graph Rewiring with the Dirichlet Principle. ICPR 2018: 2172-2177 - [c25]Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet Densifiers: Beyond Constraining the Spectral Gap. S+SSPR 2018: 512-521 - 2017
- [j7]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado:
The mutual information between graphs. Pattern Recognit. Lett. 87: 12-19 (2017) - [j6]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Graph Similarity through Entropic Manifold Alignment. SIAM J. Imaging Sci. 10(2): 942-978 (2017) - 2016
- [c24]Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet Graph Densifiers. S+SSPR 2016: 185-195 - 2015
- [j5]Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano:
Aerial Obstacle Detection With 3-D Mobile Devices. IEEE J. Biomed. Health Informatics 19(1): 74-80 (2015) - [c23]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Skeletal Graphs from Schrödinger Magnitude and Phase. GbRPR 2015: 335-344 - 2013
- [j4]Miguel Angel Lozano, Francisco Escolano:
Graph matching and clustering using kernel attributes. Neurocomputing 113: 177-194 (2013) - [c22]Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano:
TurboTensors for Entropic Image Comparison. GbRPR 2013: 51-60 - [c21]Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano:
Information-Theoretic Dissimilarities for Graphs. SIMBAD 2013: 90-105 - 2011
- [c20]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Graph matching through entropic manifold alignment. CVPR 2011: 2417-2424 - [c19]Francisco Escolano, Boyan Bonev, Miguel Angel Lozano:
Information-Geometric Graph Indexing from Bags of Partial Node Coverages. GbRPR 2011: 52-61 - 2010
- [c18]Francisco Escolano, Miguel Angel Lozano, Boyan Bonev, Pablo Suau:
Bypass information-theoretic shape similarity from non-rigid points-based alignment. CVPR Workshops 2010: 37-44 - [c17]Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Heat Flow-Thermodynamic Depth Complexity in Networks. ICPR 2010: 1578-1581 - [c16]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: 286-295
2000 – 2009
- 2009
- [j3]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): 897-910 (2009) - [j2]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): 960-978 (2009) - [c15]Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel Angel Lozano, Bianca Falcidieno:
Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. GbRPR 2009: 253-262 - [c14]Miguel Angel Lozano, Francisco Escolano:
Kernelization of Softassign and Motzkin-Strauss Algorithms. IWANN (1) 2009: 407-414 - 2008
- [c13]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Birkhoff polytopes, heat kernels and graph complexity. ICPR 2008: 1-5 - [c12]Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR 2008: 237-246 - 2007
- [c11]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: 25-36 - [c10]Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar:
Constellations and the Unsupervised Learning of Graphs. GbRPR 2007: 340-350 - 2006
- [j1]Miguel Angel Lozano, Francisco Escolano:
Protein classification by matching and clustering surface graphs. Pattern Recognit. 39(4): 539-551 (2006) - 2005
- [c9]Miguel Angel Lozano, Francisco Escolano:
Protein Classification with Kernelized Softassign. GbRPR 2005: 332-341 - [c8]Miguel Angel Lozano, Francisco Escolano:
Local Entropic Graphs for Globally-Consistent Graph Matching. GbRPR 2005: 342-351 - 2004
- [c7]Miguel Angel Lozano, Francisco Escolano:
Regularization Kernels and Softassign. CIARP 2004: 320-327 - [c6]Miguel Angel Lozano, Francisco Escolano:
Structural Recognition with Kernelized Softassign. IBERAMIA 2004: 626-635 - [c5]Miguel Angel Lozano, Francisco Escolano:
A Significant Improvement of Softassign with Diffusion Kernels. SSPR/SPR 2004: 76-84 - 2003
- [c4]Miguel Angel Lozano, Francisco Escolano:
Two New Scale-Adapted Texture Descriptors for Image Segmentation. CIARP 2003: 137-144 - [c3]Miguel Angel Lozano, Francisco Escolano:
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. EMMCVPR 2003: 52-67 - [c2]Miguel Angel Lozano, Francisco Escolano:
ACM Attributed Graph Clustering for Learning Classes of Images. GbRPR 2003: 247-258 - 2002
- [c1]Miguel Angel Lozano, Francisco Escolano:
Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. IBERAMIA 2002: 933-942
Coauthor Index
aka: Edwin Robert Hancock
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