Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. - Miguel Angel Lozano; Francisco Escolano (IBERAMIA, 2002)

Two New Scale-Adapted Texture Descriptors for Image Segmentation. - Miguel Angel Lozano; Francisco Escolano (CIARP, 2003)

EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. - Miguel Angel Lozano; Francisco Escolano (EMMCVPR, 2003)

ACM Attributed Graph Clustering for Learning Classes of Images. - Miguel Angel Lozano; Francisco Escolano (GbRPR, 2003)

Regularization Kernels and Softassign. - Miguel Angel Lozano; Francisco Escolano (CIARP, 2004)

Structural Recognition with Kernelized Softassign. - Miguel Angel Lozano; Francisco Escolano (IBERAMIA, 2004)

A Significant Improvement of Softassign with Diffusion Kernels. - Miguel Angel Lozano; Francisco Escolano (SSPR/SPR, 2004)

Protein Classification with Kernelized Softassign. - Miguel Angel Lozano; Francisco Escolano (GbRPR, 2005)

Local Entropic Graphs for Globally-Consistent Graph Matching. - Miguel Angel Lozano; Francisco Escolano (GbRPR, 2005)

Protein classification by matching and clustering surface graphs. - Miguel Angel Lozano; Francisco Escolano (Pattern Recognit., 2006)

Graph-Based Methods for Retinal Mosaicing and Vascular Characterization. - Wendy Aguilar; M. Elena Martínez-Pérez; Yann Frauel; Francisco Escolano; Miguel Angel Lozano; Arturo Espinosa-Romero (GbRPR, 2007)

Constellations and the Unsupervised Learning of Graphs. - Boyan Bonev 001; Francisco Escolano; Miguel Angel Lozano; Pablo Suau; Miguel Cazorla; Wendy Aguilar (GbRPR, 2007)

Birkhoff polytopes, heat kernels and graph complexity. - Francisco Escolano; Edwin R. Hancock; Miguel Angel Lozano (ICPR, 2008)

Polytopal Graph Complexity, Matrix Permanents, and Embedding. - Francisco Escolano; Edwin R. Hancock; Miguel Angel Lozano (SSPR/SPR, 2008)

Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. - Francisco Escolano; Daniela Giorgi; Edwin R. Hancock; Miguel Angel Lozano; Bianca Falcidieno (GbRPR, 2009)

Kernelization of Softassign and Motzkin-Strauss Algorithms. - Miguel Angel Lozano; Francisco Escolano (IWANN (1), 2009)

A robust Graph Transformation Matching for non-rigid registration. - Wendy Aguilar; Yann Frauel; Francisco Escolano; M. Elena Martínez-Pérez; Arturo Espinosa-Romero; Miguel Angel Lozano (Image Vis. Comput., 2009)

Region and constellations based categorization of images with unsupervised graph learning. - Miguel Angel Lozano; Francisco Escolano; Boyan Bonev 001; Pablo Suau; Wendy Aguilar; Juan Manuel Sáez; Miguel Cazorla (Image Vis. Comput., 2009)

Bypass information-theoretic shape similarity from non-rigid points-based alignment. - Francisco Escolano; Miguel Angel Lozano; Boyan Bonev 001; Pablo Suau (CVPR Workshops, 2010)

Heat Flow-Thermodynamic Depth Complexity in Networks. - Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (ICPR, 2010)

What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach. - Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock; Daniela Giorgi (SSPR/SPR, 2010)

Graph matching through entropic manifold alignment. - Francisco Escolano; Edwin R. Hancock; Miguel Angel Lozano (CVPR, 2011)

Information-Geometric Graph Indexing from Bags of Partial Node Coverages. - Francisco Escolano; Boyan Bonev 001; Miguel Angel Lozano (GbRPR, 2011)

TurboTensors for Entropic Image Comparison. - Francisco Escolano; Edwin R. Hancock; Boyan Bonev 001; Miguel Angel Lozano (GbRPR, 2013)

Information-Theoretic Dissimilarities for Graphs. - Francisco Escolano; Edwin R. Hancock; Meizhu Liu; Miguel Angel Lozano (SIMBAD, 2013)

Graph matching and clustering using kernel attributes. - Miguel Angel Lozano; Francisco Escolano (Neurocomputing, 2013)

Skeletal Graphs from Schrödinger Magnitude and Phase. - Francisco Escolano; Edwin R. Hancock; Miguel Angel Lozano (GbRPR, 2015)

Aerial Obstacle Detection With 3-D Mobile Devices. - Juan Manuel Sáez; Francisco Escolano; Miguel Angel Lozano (IEEE J. Biomed. Health Informatics, 2015)

Dirichlet Graph Densifiers. - Francisco Escolano; Manuel Curado; Miguel Angel Lozano; Edwin R. Hancock (S+SSPR, 2016)

The mutual information between graphs. - Francisco Escolano; Edwin R. Hancock; Miguel Angel Lozano; Manuel Curado (Pattern Recognit. Lett., 2017)

Graph Similarity through Entropic Manifold Alignment. - Francisco Escolano; Edwin R. Hancock; Miguel Angel Lozano (SIAM J. Imaging Sci., 2017)

Hand Gesture Detection with Convolutional Neural Networks. - Samer Alashhab; Antonio Javier Gallego 001; Miguel Angel Lozano (DCAI, 2018)

net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin Robert Hancock (ICPR, 2018)

Semi-supervised Graph Rewiring with the Dirichlet Principle. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (ICPR, 2018)

Dirichlet Densifiers: Beyond Constraining the Spectral Gap. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (S+SSPR, 2018)

Network Embedding by Walking on the Line Graph. - Miguel Angel Lozano; Manuel Curado; Francisco Escolano; Edwin R. Hancock (GbRPR, 2019)

Dirichlet densifiers for improved commute times estimation. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (Pattern Recognit., 2019)

Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. - Manuel Curado; Miguel Angel Lozano; Francisco Escolano; Edwin R. Hancock (Pattern Recognit. Lett., 2019)

The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. - Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (S+SSPR, 2020)

Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (Entropy, 2020)

Seeking affinity structure: Strategies for improving m-best graph matching. - Manuel Curado; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (Inf. Sci., 2020)

An efficient, dense and long-range marker system for the guidance of the visually impaired. - Juan Manuel Sáez; Miguel Angel Lozano; Francisco Escolano; Javier Pita Lozano (Mach. Vis. Appl., 2020)

BIASeD: Bringing Irrationality into Automated System Design. - Aditya Gulati; Miguel Angel Lozano; Bruno Lepri; Nuria Oliver (TFSOCTAI@AAAI Fall Symposium, 2021)

Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. - Miguel Angel Lozano; Òscar Garibo i Orts; Eloy Piñol; Miguel Rebollo; Kristina Polotskaya; Miguel Ángel García-March; J. Alberto Conejero; Francisco Escolano; Nuria Oliver (ECML/PKDD (4), 2021)

Network embedding from the line graph: Random walkers and boosted classification. - Miguel Angel Lozano; Francisco Escolano; Manuel Curado; Edwin R. Hancock (Pattern Recognit. Lett., 2021)

Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract). - Miguel Angel Lozano; Òscar Garibo i Orts; Eloy Piñol; Miguel Rebollo; Kristina Polotskaya; Miguel Ángel García-March; J. Alberto Conejero; Francisco Escolano; Nuria Oliver (IJCAI, 2022)

Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks. - Samer Alashhab; Antonio Javier Gallego 001; Miguel Angel Lozano (Eng. Appl. Artif. Intell., 2022)

A Snapshot of the Frontiers of Client Selection in Federated Learning. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver Ramirez (Trans. Mach. Learn. Res., 2022)

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano; Edwin R. Hancock (CoRR, 2023)

Addressing Membership Inference Attack in Federated Learning with Model Compression. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver (CoRR, 2023)

HEX-GNN: Hierarchical EXpanders for Node Classification. - Ahmed Begga; Miguel Angel Lozano; Francisco Escolano (CAEPIA, 2024)

What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters. - Aditya Gulati; Marina Martinez-Garcia; Daniel Fernandez; Miguel Angel Lozano; Bruno Lepri; Nuria Oliver (CoRR, 2024)

Entropy-Guided Graph Clustering via Rényi Optimization. - Ahmed Begga; Guglielmo Beretta; Sebastiano Vascon; Francisco Escolano; Miguel Angel Lozano; Marcello Pelillo (GbRPR, 2025)

Multi-Hop Pooling: Leveraging Transition Matrices for Hierarchical Graph Representation Learning. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano (IbPRIA, 2025)

Node Representation Diversity via Entropy Maximization in Graph Neural Networks. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano (IbPRIA, 2025)

Learnable Diffusion Distances for Link Prediction. - Ahmed Begga; Miguel Angel Lozano; Francisco Escolano (IEEE Access, 2025)

Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning. - Gergely Dániel Németh; Miguel Angel Lozano; Novi Quadrianto; Nuria Oliver (IEEE Access, 2025)

Bluetooth low energy indoor positioning: A fingerprinting neural network approach. - Alberto Ferrero López; Antonio Javier Gallego 001; Miguel Angel Lozano (Internet Things, 2025)

Node classification in the heterophilic regime via diffusion-jump GNNs. - Ahmed Begga; Francisco Escolano; Miguel Angel Lozano (Neural Networks, 2025)

Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models. - Gergely Dániel Németh; Eros Fanì; Yeat Jeng Ng; Barbara Caputo; Miguel Angel Lozano; Nuria Oliver; Novi Quadrianto (CoRR, 2025)