Francisco Escolano

119 papers A* 3A 3B 11C 5Misc 2Journal 37Unranked 53
YearRankTypeTitle / Venue / Authors
2026 J jnl
AG-GNN: Adaptive gating mechanism for robust node classification in graph neural networks.
Inf. Sci.
Ahmed Begga, Miguel Angel Lozano, Francisco Escolano
2026 J jnl
Deep positional encoders for graph classification.
Pattern Recognit.
Ahmed Begga, Miguel Angel Lozano, Francisco Escolano
2025 — conf
Entropy-Guided Graph Clustering via Rényi Optimization.
GbRPR
Ahmed Begga, Guglielmo Beretta, Sebastiano Vascon, Francisco Escolano, Miguel Angel Lozano, Marcello Pelillo
2025 J jnl
Learnable Diffusion Distances for Link Prediction.
IEEE Access
Ahmed Begga, Miguel Angel Lozano, Francisco Escolano
2025 Misc conf
Multi-Hop Pooling: Leveraging Transition Matrices for Hierarchical Graph Representation Learning.
IbPRIA
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano
2025 Misc conf
Node Representation Diversity via Entropy Maximization in Graph Neural Networks.
IbPRIA
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano
2025 J jnl
Node classification in the heterophilic regime via diffusion-jump GNNs.
Neural Networks
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano
2024 — conf
Community-Hop: Enhancing Node Classification Through Community Preference.
S+SSPR
Ahmed Begga, Waqar Ali, Gabriel Niculescu, Francisco Escolano, Thilo Stadelmann, Marcello Pelillo
2024 — conf
HEX-GNN: Hierarchical EXpanders for Node Classification.
CAEPIA
Ahmed Begga, Miguel Angel Lozano, Francisco Escolano
2023 J jnl
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters.
CoRR
Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2023 J jnl
FairShap: A Data Re-weighting Approach for Algorithmic Fairness based on Shapley Values.
CoRR
Adrián Arnaiz-Rodríguez, Francisco Escolano, Nuria Oliver
2022 C conf
Algorithmic Censorship of Art: A Proposed Research Agenda.
ICCC
Piera Riccio, José Luis Oliver, Francisco Escolano, Nuria Oliver
2022 — conf
DiffWire: Inductive Graph Rewiring via the Lovász Bound.
LoG
Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver
2022 J jnl
DiffWire: Inductive Graph Rewiring via the Lovász Bound.
CoRR
Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver
2022 A* conf
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract).
IJCAI
Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver
2022 A* conf
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters.
NeurIPS
Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
2022 J jnl
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters.
CoRR
Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
2021 J jnl
Network embedding from the line graph: Random walkers and boosted classification.
Pattern Recognit. Lett.
Miguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock
2021 — conf
Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge.
ECML/PKDD (4)
Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver
2020 J jnl
An efficient, dense and long-range marker system for the guidance of the visually impaired.
Mach. Vis. Appl.
Juan Manuel Sáez, Miguel Angel Lozano, Francisco Escolano, Javier Pita Lozano
2020 J jnl
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor.
Entropy
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2020 B conf
On learning Random Forests for Random Forest-clustering.
ICPR
Manuele Bicego, Francisco Escolano
2020 J jnl
Seeking affinity structure: Strategies for improving m-best graph matching.
Inf. Sci.
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2020 — conf
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks.
S+SSPR
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2019 J jnl
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint.
Pattern Recognit. Lett.
Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock
2019 J jnl
Dirichlet densifiers for improved commute times estimation.
Pattern Recognit.
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2019 — conf
Network Embedding by Walking on the Line Graph.
GbRPR
Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock
2018 — conf
Dirichlet Densifiers: Beyond Constraining the Spectral Gap.
S+SSPR
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2018 B conf
Semi-supervised Graph Rewiring with the Dirichlet Principle.
ICPR
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2018 B conf
net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking.
ICPR
Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin Robert Hancock
2017 — conf
Bragg Diffraction Patterns as Graph Characteristics.
EMMCVPR
Francisco Escolano, Edwin R. Hancock
2017 J jnl
Graph Similarity through Entropic Manifold Alignment.
SIAM J. Imaging Sci.
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2017 — conf
On the Interplay Between Strong Regularity and Graph Densification.
GbRPR
Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo
2017 J jnl
On the Interplay between Strong Regularity and Graph Densification.
CoRR
Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo
2017 — conf
Shape Simplification Through Graph Sparsification.
GbRPR
Francisco Escolano, Manuel Curado, Silvia Biasotti, Edwin R. Hancock
2017 J jnl
The mutual information between graphs.
Pattern Recognit. Lett.
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado
2016 B conf
An edge-based matching kernel on commute-time spanning trees.
ICPR
Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock
2016 — conf
Commute Times in Dense Graphs.
S+SSPR
Francisco Escolano, Manuel Curado, Edwin R. Hancock
2016 J jnl
Depth-based hypergraph complexity traces from directed line graphs.
Pattern Recognit.
Lu Bai, Francisco Escolano, Edwin R. Hancock
2016 — conf
Dirichlet Graph Densifiers.
S+SSPR
Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock
2016 — ed.
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings
S+SSPR
Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard C. Wilson
2015 J jnl
Aerial Obstacle Detection With 3-D Mobile Devices.
IEEE J. Biomed. Health Informatics
Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano
2015 J jnl
Introduction to the Special issue on "Future trends in robotics and autonomous techniques".
Comput. Electr. Eng.
Ankit Chaudhary, Francisco Escolano, Anand Bhojan
2015 J jnl
Recognition and action for scene understanding.
Neurocomputing
Rebeca Marfil, Jorge Dias, Francisco Escolano
2015 — conf
Similarity Analysis from Limiting Quantum Walks.
SIMBAD
Manuel Curado, Francisco Escolano, Edwin R. Hancock, Farshad Nourbakhsh, Marcello Pelillo
2015 — conf
Skeletal Graphs from Schrödinger Magnitude and Phase.
GbRPR
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2014 B conf
Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs.
ICPR
Lu Bai, Edwin R. Hancock, Peng Ren, Francisco Escolano
2014 — conf
Quantum vs Classical Ranking in Segment Grouping.
S+SSPR
Francisco Escolano, Boyan Bonev, Edwin R. Hancock
2014 — ed.
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings
S+SSPR
Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo
2014 B conf
The Mutual Information between Graphs.
ICPR
Francisco Escolano, Edwin R. Hancock
2013 — conf
Analysis of the Schrödinger Operator in the Context of Graph Characterization.
SIMBAD
Pablo Suau, Edwin R. Hancock, Francisco Escolano
2013 — conf
Complexity Fusion for Indexing Reeb Digraphs.
CAIP (1)
Francisco Escolano, Edwin R. Hancock, Silvia Biasotti
2013 — conf
Graph Characteristics from the Schrödinger Operator.
GbRPR
Pablo Suau, Edwin R. Hancock, Francisco Escolano
2013 J jnl
Graph matching and clustering using kernel attributes.
Neurocomputing
Miguel Angel Lozano, Francisco Escolano
2013 J jnl
How do image complexity, task demands and looking biases influence human gaze behavior?
Pattern Recognit. Lett.
Boyan Bonev, Lewis L. Chuang, Francisco Escolano
2013 — conf
Information-Theoretic Dissimilarities for Graphs.
SIMBAD
Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
2013 J jnl
Information-theoretic selection of high-dimensional spectral features for structural recognition.
Comput. Vis. Image Underst.
Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti
2013 J jnl
Scene understanding and behaviour analysis.
Pattern Recognit. Lett.
Antonio Bandera Rubio, Jorge Dias, Francisco Escolano
2013 — conf
TurboTensors for Entropic Image Comparison.
GbRPR
Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano
2012 J jnl
Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures.
IEEE Trans. Neural Networks Learn. Syst.
Antonio Peñalver Benavent, Francisco Escolano
2012 J jnl
Graph characterizations from von Neumann entropy.
Pattern Recognit. Lett.
Lin Han, Francisco Escolano, Edwin R. Hancock, Richard C. Wilson
2012 — conf
Heat Flow-Thermodynamic Depth Complexity in Directed Networks.
SSPR/SPR
Francisco Escolano, Boyan Bonev, Edwin R. Hancock
2011 J jnl
6DOF entropy minimization SLAM for stereo-based wearable devices.
Comput. Vis. Image Underst.
Juan Manuel Sáez, Francisco Escolano
2011 — conf
From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation.
CAIP (1)
Francisco Escolano, Edwin R. Hancock
2011 A* conf
Graph matching through entropic manifold alignment.
CVPR
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2011 — conf
Information-Geometric Graph Indexing from Bags of Partial Node Coverages.
GbRPR
Francisco Escolano, Boyan Bonev, Miguel Angel Lozano
2011 J jnl
Special issue on Graph-Based Representations in Computer Vision.
Comput. Vis. Image Underst.
Edwin R. Hancock, Andrea Torsello, Francisco Escolano, Luc Brun
2011 — conf
Tensor-based total bregman divergences between graphs.
ICCV Workshops
Francisco Escolano, Meizhu Liu, Edwin R. Hancock
2010 — conf
Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization.
SSPR/SPR
Pablo Suau, Francisco Escolano
2010 — conf
Bypass information-theoretic shape similarity from non-rigid points-based alignment.
CVPR Workshops
Francisco Escolano, Miguel Angel Lozano, Boyan Bonev, Pablo Suau
2010 B conf
Entropy Estimation and Multi-Dimensional Scale Saliency.
ICPR
Pablo Suau, Francisco Escolano
2010 — conf
Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures.
SSPR/SPR
Antonio Peñalver Benavent, Francisco Escolano, Boyan Bonev
2010 B conf
Heat Flow-Thermodynamic Depth Complexity in Networks.
ICPR
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2010 — conf
High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs.
SSPR/SPR
Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti
2010 B conf
Information-theoretic Feature Selection from Unattributed Graphs.
ICPR
Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti
2010 — ed.
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings
SSPR/SPR
Edwin R. Hancock, Richard C. Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano
2010 — conf
What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach.
SSPR/SPR
Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock, Daniela Giorgi
2009 B conf
A New Feasible Approach to Multi-dimensional Scale Saliency.
ACIVS
Pablo Suau, Francisco Escolano
2009 J jnl
A robust Graph Transformation Matching for non-rigid registration.
Image Vis. Comput.
Wendy Aguilar, Yann Frauel, Francisco Escolano, M. Elena Martínez-Pérez, Arturo Espinosa-Romero, Miguel Angel Lozano
2009 — conf
Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering.
GbRPR
Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel Angel Lozano, Bianca Falcidieno
2009 — conf
Graph-Based Representations in Pattern Recognition and Computational Intelligence.
IWANN (1)
Rebeca Marfil, Francisco Escolano, Antonio Bandera
2009 — ed.
Graph-Based Representations in Pattern Recognition, 7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings
GbRPR
Andrea Torsello, Francisco Escolano, Luc Brun
2009 — conf
Kernelization of Softassign and Motzkin-Strauss Algorithms.
IWANN (1)
Miguel Angel Lozano, Francisco Escolano
2009 J jnl
Preface.
Image Vis. Comput.
Luc Brun, Francisco Escolano
2009 J jnl
Region and constellations based categorization of images with unsupervised graph learning.
Image Vis. Comput.
Miguel Angel Lozano, Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Juan Manuel Sáez, Miguel Cazorla
2008 J jnl
Bayesian optimization of the scale saliency filter.
Image Vis. Comput.
Pablo Suau, Francisco Escolano
2008 B conf
Birkhoff polytopes, heat kernels and graph complexity.
ICPR
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2008 J jnl
Feature selection, mutual information, and the classification of high-dimensional patterns.
Pattern Anal. Appl.
Boyan Bonev, Francisco Escolano, Miguel Cazorla
2008 — conf
Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs.
ISVC (2)
Pablo Suau, Francisco Escolano
2008 — conf
Polytopal Graph Complexity, Matrix Permanents, and Embedding.
SSPR/SPR
Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2007 — conf
A Novel Information Theory Method for Filter Feature Selection.
MICAI
Boyan Bonev, Francisco Escolano, Miguel Cazorla
2007 A conf
Ceiling mosaics through information-based SLAM.
IROS
Jose Pascual Roda, Juan Manuel Sáez, Francisco Escolano
2007 — conf
Constellations and the Unsupervised Learning of Graphs.
GbRPR
Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar
2007 A conf
Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching.
IROS
Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Yann Frauel, Juan Manuel Sáez, Miguel Cazorla
2007 — conf
Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector.
IbPRIA (2)
Pablo Suau, Francisco Escolano
2007 — conf
Graph-Based Methods for Retinal Mosaicing and Vascular Characterization.
GbRPR
Wendy Aguilar, M. Elena Martínez-Pérez, Yann Frauel, Francisco Escolano, Miguel Angel Lozano, Arturo Espinosa-Romero
2007 — ed.
Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop, GbRPR 2007, Alicante, Spain, June 11-13, 2007, Proceedings
GbRPR
Francisco Escolano, Mario Vento
2006 — conf
Color Image Segmentation Through Unsupervised Gaussian Mixture Models.
IBERAMIA-SBIA
Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez
2006 J jnl
Protein classification by matching and clustering surface graphs.
Pattern Recognit.
Miguel Angel Lozano, Francisco Escolano
2006 — conf
Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models.
SSPR/SPR
Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez
2005 A conf
Active stereo based compact mapping.
IROS
Diego Viejo, Juan Manuel Sáez, Miguel Ángel Cazorla Quevedo, Francisco Escolano
2005 — conf
First Steps towards Stereo-based 6DOF SLAM for the Visually Impaired.
CVPR Workshops
Juan Manuel Sáez, Francisco Escolano, Antonio Peñalver Benavent
2005 — conf
Local Entropic Graphs for Globally-Consistent Graph Matching.
GbRPR
Miguel Angel Lozano, Francisco Escolano
2005 — conf
Protein Classification with Kernelized Softassign.
GbRPR
Miguel Angel Lozano, Francisco Escolano
2004 — conf
A Significant Improvement of Softassign with Diffusion Kernels.
SSPR/SPR
Miguel Angel Lozano, Francisco Escolano
2004 C conf
Regularization Kernels and Softassign.
CIARP
Miguel Angel Lozano, Francisco Escolano
2004 — conf
Structural Recognition with Kernelized Softassign.
IBERAMIA
Miguel Angel Lozano, Francisco Escolano
2003 — conf
ACM Attributed Graph Clustering for Learning Classes of Images.
GbRPR
Miguel Angel Lozano, Francisco Escolano
2003 C conf
An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures.
CIARP
Antonio Peñalver Benavent, Juan Manuel Sáez, Francisco Escolano
2003 C conf
Compact Mapping in Plane-Parallel Environments Using Stereo Vision.
CIARP
Juan Manuel Sáez, Antonio Peñalver Benavent, Francisco Escolano
2003 — conf
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching.
EMMCVPR
Miguel Angel Lozano, Francisco Escolano
2003 J jnl
Two Bayesian methods for junction classification.
IEEE Trans. Image Process.
Miguel Cazorla, Francisco Escolano
2003 C conf
Two New Scale-Adapted Texture Descriptors for Image Segmentation.
CIARP
Miguel Angel Lozano, Francisco Escolano
2002 J jnl
Junction detection and grouping with probabilistic edge models and Bayesian A.
Pattern Recognit.
Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo
2002 — conf
Monte Carlo Localization in 3D Maps Using Stereo Vision.
IBERAMIA
Juan Manuel Sáez, Francisco Escolano
2002 — conf
Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching.
IBERAMIA
Miguel Angel Lozano, Francisco Escolano
1999 — conf
Bayesian Models for Finding and Grouping Junctions.
EMMCVPR
Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo
1998 — conf
A Combined Probabilistic Framework for Learning Gestures and Actions.
IEA/AIE (Vol. 2)
Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Faraón Llorens, Rosana Satorre, Ramón Rizo
1997 — conf
Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences.
EMMCVPR
Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Ramón Rizo