Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. - Francisco Escolano; Miguel Cazorla; Domingo Gallardo; Ramón Rizo (EMMCVPR, 1997)

A Combined Probabilistic Framework for Learning Gestures and Actions. - Francisco Escolano; Miguel Cazorla; Domingo Gallardo; Faraón Llorens; Rosana Satorre; Ramón Rizo (IEA/AIE (Vol. 2), 1998)

Bayesian Models for Finding and Grouping Junctions. - Miguel Cazorla; Francisco Escolano; Domingo Gallardo; Ramón Rizo (EMMCVPR, 1999)

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

Monte Carlo Localization in 3D Maps Using Stereo Vision. - Juan Manuel Sáez; Francisco Escolano (IBERAMIA, 2002)

Junction detection and grouping with probabilistic edge models and Bayesian A. - Miguel Cazorla; Francisco Escolano; Domingo Gallardo; Ramón Rizo (Pattern Recognit., 2002)

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

An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures. - Antonio Peñalver Benavent; Juan Manuel Sáez; Francisco Escolano (CIARP, 2003)

Compact Mapping in Plane-Parallel Environments Using Stereo Vision. - Juan Manuel Sáez; Antonio Peñalver Benavent; 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)

Two Bayesian methods for junction classification. - Miguel Cazorla; Francisco Escolano (IEEE Trans. Image Process., 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 Global 3D Map-building Approach using Stereo Vision. - Juan Manuel Sáez; Francisco Escolano Ruiz (ICRA, 2004)

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

First Steps towards Stereo-based 6DOF SLAM for the Visually Impaired. - Juan Manuel Sáez; Francisco Escolano; Antonio Peñalver Benavent (CVPR Workshops, 2005)

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)

Entropy Minimization SLAM Using Stereo Vision. - Juan Manuel Sáez; Francisco Escolano Ruiz (ICRA, 2005)

Active stereo based compact mapping. - Diego Viejo; Juan Manuel Sáez; Miguel Ángel Cazorla Quevedo; Francisco Escolano (IROS, 2005)

Color Image Segmentation Through Unsupervised Gaussian Mixture Models. - Antonio Peñalver Benavent; Francisco Escolano; Juan Manuel Sáez (IBERAMIA-SBIA, 2006)

EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models. - Antonio Peñalver Benavent; Francisco Escolano Ruiz; Juan Manuel Sáez (ICPR (2), 2006)

Underwater 3D SLAM through Entropy Minimization. - Juan Manuel Sáez; Andrew Hogue; Francisco Escolano Ruiz; Michael R. M. Jenkin (ICRA, 2006)

6DOF Entropy Minimization SLAM. - Juan Manuel Sáez; Francisco Escolano Ruiz (ICRA, 2006)

Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models. - Antonio Peñalver Benavent; Francisco Escolano; Juan Manuel Sáez (SSPR/SPR, 2006)

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)

Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector. - Pablo Suau; Francisco Escolano (IbPRIA (2), 2007)

Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching. - Francisco Escolano; Boyan Bonev 001; Pablo Suau; Wendy Aguilar; Yann Frauel; Juan Manuel Sáez; Miguel Cazorla (IROS, 2007)

Ceiling mosaics through information-based SLAM. - Jose Pascual Roda; Juan Manuel Sáez; Francisco Escolano (IROS, 2007)

A Novel Information Theory Method for Filter Feature Selection. - Boyan Bonev 001; Francisco Escolano; Miguel Cazorla (MICAI, 2007)

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

Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs. - Pablo Suau; Francisco Escolano (ISVC (2), 2008)

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

Bayesian optimization of the scale saliency filter. - Pablo Suau; Francisco Escolano (Image Vis. Comput., 2008)

Feature selection, mutual information, and the classification of high-dimensional patterns. - Boyan Bonev 001; Francisco Escolano; Miguel Cazorla (Pattern Anal. Appl., 2008)

A New Feasible Approach to Multi-dimensional Scale Saliency. - Pablo Suau; Francisco Escolano (ACIVS, 2009)

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)

Graph-Based Representations in Pattern Recognition and Computational Intelligence. - Rebeca Marfil; Francisco Escolano; Antonio Bandera (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)

Preface. - Luc Brun; Francisco Escolano (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)

Learning Gaussian Mixture Models With Entropy-Based Criteria. - Antonio Peñalver Benavent; Francisco Escolano Ruiz; Juan Manuel Sáez (IEEE Trans. Neural Networks, 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)

Information-theoretic Feature Selection from Unattributed Graphs. - Boyan Bonev 001; Francisco Escolano; Daniela Giorgi; Silvia Biasotti (ICPR, 2010)

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

Entropy Estimation and Multi-Dimensional Scale Saliency. - Pablo Suau; Francisco Escolano (ICPR, 2010)

High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs. - Boyan Bonev 001; Francisco Escolano; Daniela Giorgi; Silvia Biasotti (SSPR/SPR, 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)

Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures. - Antonio Peñalver Benavent; Francisco Escolano; Boyan Bonev 001 (SSPR/SPR, 2010)

Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization. - Pablo Suau; Francisco Escolano (SSPR/SPR, 2010)

From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation. - Francisco Escolano; Edwin R. Hancock (CAIP (1), 2011)

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)

Tensor-based total bregman divergences between graphs. - Francisco Escolano; Meizhu Liu; Edwin R. Hancock (ICCV Workshops, 2011)

Special issue on Graph-Based Representations in Computer Vision. - Edwin R. Hancock; Andrea Torsello; Francisco Escolano; Luc Brun (Comput. Vis. Image Underst., 2011)

6DOF entropy minimization SLAM for stereo-based wearable devices. - Juan Manuel Sáez; Francisco Escolano (Comput. Vis. Image Underst., 2011)

Heat Flow-Thermodynamic Depth Complexity in Directed Networks. - Francisco Escolano; Boyan Bonev 001; Edwin R. Hancock (SSPR/SPR, 2012)

Graph characterizations from von Neumann entropy. - Lin Han; Francisco Escolano; Edwin R. Hancock; Richard C. Wilson 001 (Pattern Recognit. Lett., 2012)

Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures. - Antonio Peñalver Benavent; Francisco Escolano (IEEE Trans. Neural Networks Learn. Syst., 2012)

Complexity Fusion for Indexing Reeb Digraphs. - Francisco Escolano; Edwin R. Hancock; Silvia Biasotti (CAIP (1), 2013)

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

Graph Characteristics from the Schrödinger Operator. - Pablo Suau; Edwin R. Hancock; Francisco Escolano (GbRPR, 2013)

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

Analysis of the Schrödinger Operator in the Context of Graph Characterization. - Pablo Suau; Edwin R. Hancock; Francisco Escolano (SIMBAD, 2013)

Information-theoretic selection of high-dimensional spectral features for structural recognition. - Boyan Bonev 001; Francisco Escolano; Daniela Giorgi; Silvia Biasotti (Comput. Vis. Image Underst., 2013)

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

How do image complexity, task demands and looking biases influence human gaze behavior? - Boyan Bonev 001; Lewis L. Chuang; Francisco Escolano (Pattern Recognit. Lett., 2013)

Scene understanding and behaviour analysis. - Antonio Bandera Rubio; Jorge Dias 001; Francisco Escolano (Pattern Recognit. Lett., 2013)

Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs. - Lu Bai 001; Edwin R. Hancock; Peng Ren 001; Francisco Escolano (ICPR, 2014)

The Mutual Information between Graphs. - Francisco Escolano; Edwin R. Hancock (ICPR, 2014)

Quantum vs Classical Ranking in Segment Grouping. - Francisco Escolano; Boyan Bonev 001; Edwin R. Hancock (S+SSPR, 2014)

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

Similarity Analysis from Limiting Quantum Walks. - Manuel Curado; Francisco Escolano; Edwin R. Hancock; Farshad Nourbakhsh; Marcello Pelillo (SIMBAD, 2015)

Introduction to the Special issue on "Future trends in robotics and autonomous techniques". - Ankit Chaudhary; Francisco Escolano; Anand Bhojan (Comput. Electr. Eng., 2015)

Recognition and action for scene understanding. - Rebeca Marfil; Jorge Dias 001; Francisco Escolano (Neurocomputing, 2015)

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

An edge-based matching kernel on commute-time spanning trees. - Lu Bai 001; Lixin Cui; Francisco Escolano; Edwin R. Hancock (ICPR, 2016)

Commute Times in Dense Graphs. - Francisco Escolano; Manuel Curado; Edwin R. Hancock (S+SSPR, 2016)

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

Depth-based hypergraph complexity traces from directed line graphs. - Lu Bai 001; Francisco Escolano; Edwin R. Hancock (Pattern Recognit., 2016)

Bragg Diffraction Patterns as Graph Characteristics. - Francisco Escolano; Edwin R. Hancock (EMMCVPR, 2017)

Shape Simplification Through Graph Sparsification. - Francisco Escolano; Manuel Curado; Silvia Biasotti; Edwin R. Hancock (GbRPR, 2017)

On the Interplay Between Strong Regularity and Graph Densification. - Marco Fiorucci; Alessandro Torcinovich; Manuel Curado; Francisco Escolano; Marcello Pelillo (GbRPR, 2017)

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)

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)

On learning Random Forests for Random Forest-clustering. - Manuele Bicego; Francisco Escolano (ICPR, 2020)

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)

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)

Algorithmic Censorship of Art: A Proposed Research Agenda. - Piera Riccio; José Luis Oliver; Francisco Escolano; Nuria Oliver (ICCC, 2022)

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)

DiffWire: Inductive Graph Rewiring via the Lovász Bound. - Adrián Arnaiz-Rodríguez; Ahmed Begga; Francisco Escolano; Nuria Oliver (LoG, 2022)

OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. - Piera Riccio; Bill Psomas; Francesco Galati; Francisco Escolano; Thomas Hofmann 001; Nuria Oliver (NeurIPS, 2022)

FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values. - Adrián Arnaiz-Rodríguez; Francisco Escolano; Nuria Oliver (CoRR, 2023)

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

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

Community-Hop: Enhancing Node Classification Through Community Preference. - Ahmed Begga; Waqar Ali; Gabriel Niculescu; Francisco Escolano; Thilo Stadelmann; Marcello Pelillo (S+SSPR, 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)

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