Lucas Lacasa

37 papers A* 1C 1Journal 34Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Role of Consistency Between Physics and Data in Physics-Informed Neural Networks.
CoRR
Nicolás Becerra-Zuniga, Lucas Lacasa, Eusebio Valero, Gonzalo Rubio
2026 J jnl
Predictability of temporal network dynamics in normal ageing and brain pathology.
J. Complex Networks
Annalisa Caligiuri, David Papo, Görsev Yener, Bahar Güntekin, Tobias Galla, Lucas Lacasa, Massimiliano Zanin
2025 J jnl
A Certifiable Machine Learning-Based Pipeline to Predict Fatigue Life of Aircraft Structures.
CoRR
Ángel Ladrón, Miguel Sánchez-Domínguez, Javier Rozalén, Fernando R. Sánchez, Javier de Vicente, Lucas Lacasa, Eusebio Valero, Gonzalo Rubio
2025 J jnl
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning.
CoRR
David Ramos, Lucas Lacasa, Eusebio Valero, Gonzalo Rubio
2025 J jnl
Leveraging chaos in the training of artificial neural networks.
CoRR
Pedro Jiménez-González, Miguel C. Soriano, Lucas Lacasa
2025 J jnl
Reliable Statistical Guarantees for Conformal Predictors with Small Datasets.
CoRR
Miguel Sánchez-Domínguez, Lucas Lacasa, Javier de Vicente, Gonzalo Rubio, Eusebio Valero
2025 J jnl
Towards certification: A complete statistical validation pipeline for supervised learning in industry.
Expert Syst. Appl.
Lucas Lacasa, Abel Pardo, Pablo Arbelo, Miguel Sánchez-Domínguez, Noelia Bascones, Pablo Yeste, Alejandro Martínez-Cava, Gonzalo Rubio, Ignacio Gómez, Eusebio Valero
2024 J jnl
Dynamical stability and chaos in artificial neural network trajectories along training.
CoRR
Kaloyan Danovski, Miguel C. Soriano, Lucas Lacasa
2024 J jnl
Scalar embedding of temporal network trajectories.
CoRR
Lucas Lacasa, F. Javier Marín-Rodríguez, Naoki Masuda, Lluís Arola-Fernández
2024 J jnl
Towards certification: A complete statistical validation pipeline for supervised learning in industry.
CoRR
Lucas Lacasa, Abel Pardo, Pablo Arbelo, Miguel Sánchez, Pablo Yeste, Noelia Bascones, Alejandro Martínez-Cava, Gonzalo Rubio, Ignacio Gómez, Eusebio Valero, Javier de Vicente
2023 J jnl
An effective theory of collective deep learning.
CoRR
Lluís Arola-Fernández, Lucas Lacasa
2023 J jnl
Higher-order correlations reveal complex memory in temporal hypergraphs.
CoRR
Luca Gallo, Lucas Lacasa, Vito Latora, Federico Battiston
2022 J jnl
Correlations of network trajectories.
CoRR
Lucas Lacasa, Jorge P. Rodriguez, Víctor M. Eguíluz
2022 J jnl
Haros graphs: an exotic representation of real numbers.
J. Complex Networks
Jorge Calero-Sanz, Bartolo Luque, Lucas Lacasa
2022 J jnl
Network bypasses sustain complexity.
CoRR
Ernesto Estrada, Lucas Lacasa
2020 J jnl
Beyond pairwise network similarity: exploring Mediation and Suppression between networks.
CoRR
Lucas Lacasa, Sebastiano Stramaglia, Daniele Marinazzo
2020 J jnl
Visibility Graphs for Image Processing.
IEEE Trans. Pattern Anal. Mach. Intell.
Jacopo Iacovacci, Lucas Lacasa
2019 J jnl
Effect of antipsychotics on community structure in functional brain networks.
J. Complex Networks
Ryan Flanagan, Lucas Lacasa, Emma K. Towlson, Sang Hoon Lee, Mason A. Porter
2019 J jnl
Linguistic Laws in Speech: The Case of Catalan and Spanish.
Entropy
Antoni Hernández-Fernández, Iván González Torre, Juan María Garrido, Lucas Lacasa
2019 — conf
Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo.
CAMSAP
Joaquín Míguez, Lucas Lacasa, José A. Martínez-Ordóñer, Inés P. Mariño
2019 A* conf
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories.
ICDM
Jacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli
2019 J jnl
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories.
CoRR
Jacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli
2019 J jnl
Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce.
CoRR
Luca Bigon, Giovanni Cassani, Ciro Greco, Lucas Lacasa, Mattia Pavoni, Andrea Polonioli, Jacopo Tagliabue
2018 J jnl
Bipartisanship Breakdown, Functional Networks, and Forensic Analysis in Spanish 2015 and 2016 National Elections.
Complex.
Juan Fernández-Gracia, Lucas Lacasa
2018 J jnl
On a Dynamical Approach to Some Prime Number Sequences.
Entropy
Lucas Lacasa, Bartolome Luque, Ignacio Gómez, Octavio Miramontes
2018 J jnl
The Dynamics of Norm Change in the Cultural Evolution of Language.
CoRR
Roberta Amato, Lucas Lacasa, Albert Díaz-Guilera, Andrea Baronchelli
2016 J jnl
Emergence of linguistic laws in human voice.
CoRR
Iván González Torre, Bartolo Luque, Lucas Lacasa, Jordi Luque, Antoni Hernández-Fernández
2015 J jnl
Visibility graph motifs.
CoRR
Jacopo Iacovacci, Lucas Lacasa
2014 J jnl
Speech earthquakes: scaling and universality in human voice.
CoRR
Jordi Luque, Bartolo Luque, Lucas Lacasa
2012 J jnl
Correlation dimension of complex networks
CoRR
Lucas Lacasa, Jesús Gómez-Gardeñes
2012 J jnl
Crossover phenomenon in the performance of an Internet search engine
CoRR
Lucas Lacasa, Jacopo Tagliabue, Andrew Berdahl
2012 J jnl
Detecting Series Periodicity with Horizontal Visibility Graphs.
Int. J. Bifurc. Chaos
Angel Nuñez, Lucas Lacasa, Eusebio Valero, Jose Patricio Gómez, Bartolo Luque
2011 J jnl
Fast resolution of a single factor Heath-Jarrow-Morton model with stochastic volatility.
J. Comput. Appl. Math.
Eusebio Valero, M. Torrealba, Lucas Lacasa, François Fraysse
2010 J jnl
The Roundtable: An Abstract Model of Conversation Dynamics.
J. Artif. Soc. Soc. Simul.
Massimo Mastrangeli, Martin Schmidt, Lucas Lacasa
2010 J jnl
The roundtable: an abstract model of conversation dynamics
CoRR
Massimo Mastrangeli, Martin Schmidt, Lucas Lacasa
2009 C conf
A Dynamical Model For The Air Transportation Network.
ECMS
Massimiliano Zanin, Lucas Lacasa, Miguel Cea, Samuel Cristobal
2007 J jnl
Phase transition and computational complexity in a stochastic prime number generator
CoRR
Lucas Lacasa, Bartolo Luque, Octavio Miramontes