Miguel Angel Lozano

66 papers A* 2B 4C 2Misc 3Journal 29Unranked 26

Year	Rank	Type	Title / 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	J	`jnl`	Bluetooth low energy indoor positioning: A fingerprinting neural network approach. Internet Things Alberto Ferrero López, Antonio Javier Gallego, Miguel Angel Lozano
2025	J	`jnl`	Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models. CoRR Gergely Dániel Németh, Eros Fanì, Yeat Jeng Ng, Barbara Caputo, Miguel Angel Lozano, Nuria Oliver, Novi Quadrianto
2025	J	`jnl`	Edge-Centric Embeddings of Digraphs: Properties and Stability Under Sparsification. Entropy Ahmed Begga, Francisco Escolano Ruiz, Miguel Angel Lozano
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
2025	J	`jnl`	Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning. IEEE Access Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
2024	—	`conf`	HEX-GNN: Hierarchical EXpanders for Node Classification. CAEPIA Ahmed Begga, Miguel Angel Lozano, Francisco Escolano
2024	J	`jnl`	What is Beautiful is Still Good: The Attractiveness Halo Effect in the era of Beauty Filters. CoRR Aditya Gulati, Marina Martínez-García, Daniel Fernandez, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver
2023	J	`jnl`	Addressing Membership Inference Attack in Federated Learning with Model Compression. CoRR Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
2023	J	`jnl`	Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
2022	J	`jnl`	A Snapshot of the Frontiers of Client Selection in Federated Learning. CoRR Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver
2022	J	`jnl`	A Snapshot of the Frontiers of Client Selection in Federated Learning. Trans. Mach. Learn. Res. Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria Oliver Ramirez
2022	J	`jnl`	BIASeD: Bringing Irrationality into Automated System Design. CoRR Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver
2022	J	`jnl`	Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks. CoRR Samer Alashhab, Antonio Javier Gallego, Miguel Angel Lozano
2022	J	`jnl`	Efficient gesture recognition for the assistance of visually impaired people using multi-head neural networks. Eng. Appl. Artif. Intell. Samer Alashhab, Antonio Javier Gallego, Miguel Angel Lozano
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
2021	—	`conf`	BIASeD: Bringing Irrationality into Automated System Design. TFSOCTAI@AAAI Fall Symposium Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, 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	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	Misc	`conf`	Hand Gesture Detection with Convolutional Neural Networks. DCAI Samer Alashhab, Antonio Javier Gallego, Miguel Angel Lozano
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	J	`jnl`	Graph Similarity through Entropic Manifold Alignment. SIAM J. Imaging Sci. Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2017	J	`jnl`	The mutual information between graphs. Pattern Recognit. Lett. Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado
2016	—	`conf`	Dirichlet Graph Densifiers. S+SSPR Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock
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	—	`conf`	Skeletal Graphs from Schrödinger Magnitude and Phase. GbRPR Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2013	J	`jnl`	Graph matching and clustering using kernel attributes. Neurocomputing Miguel Angel Lozano, Francisco Escolano
2013	—	`conf`	Information-Theoretic Dissimilarities for Graphs. SIMBAD Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano
2013	—	`conf`	TurboTensors for Entropic Image Comparison. GbRPR Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano
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
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`	Heat Flow-Thermodynamic Depth Complexity in Networks. ICPR Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock
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	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`	Kernelization of Softassign and Motzkin-Strauss Algorithms. IWANN (1) Miguel Angel Lozano, 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	B	`conf`	Birkhoff polytopes, heat kernels and graph complexity. ICPR Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2008	—	`conf`	Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano
2007	—	`conf`	Constellations and the Unsupervised Learning of Graphs. GbRPR Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar
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
2006	J	`jnl`	Protein classification by matching and clustering surface graphs. Pattern Recognit. Miguel Angel Lozano, Francisco Escolano
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	—	`conf`	EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. EMMCVPR Miguel Angel Lozano, Francisco Escolano
2003	C	`conf`	Two New Scale-Adapted Texture Descriptors for Image Segmentation. CIARP Miguel Angel Lozano, Francisco Escolano
2002	—	`conf`	Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. IBERAMIA Miguel Angel Lozano, Francisco Escolano