Phase transition and computational complexity in a stochastic prime number generator - Lucas Lacasa; Bartolo Luque; Octavio Miramontes (CoRR, 2007)

A Dynamical Model For The Air Transportation Network. - Massimiliano Zanin; Lucas Lacasa; Miguel Cea; Samuel Cristobal (ECMS, 2009)

The Roundtable: An Abstract Model of Conversation Dynamics. - Massimo Mastrangeli; Martin Schmidt; Lucas Lacasa (J. Artif. Soc. Soc. Simul., 2010)

Fast resolution of a single factor Heath-Jarrow-Morton model with stochastic volatility. - Eusebio Valero; M. Torrealba; Lucas Lacasa; François Fraysse (J. Comput. Appl. Math., 2011)

Crossover phenomenon in the performance of an Internet search engine - Lucas Lacasa; Jacopo Tagliabue; Andrew Berdahl (CoRR, 2012)

Correlation dimension of complex networks - Lucas Lacasa; Jesús Gómez-Gardeñes (CoRR, 2012)

Detecting Series Periodicity with Horizontal Visibility Graphs. - Angel Nuñez; Lucas Lacasa; Eusebio Valero; Jose Patricio Gómez; Bartolo Luque (Int. J. Bifurc. Chaos, 2012)

Speech earthquakes: scaling and universality in human voice. - Jordi Luque; Bartolo Luque; Lucas Lacasa (CoRR, 2014)

Visibility graph motifs. - Jacopo Iacovacci; Lucas Lacasa (CoRR, 2015)

Emergence of linguistic laws in human voice. - Iván González Torre; Bartolo Luque; Lucas Lacasa; Jordi Luque; Antoni Hernández-Fernández (CoRR, 2016)

Bipartisanship Breakdown, Functional Networks, and Forensic Analysis in Spanish 2015 and 2016 National Elections. - Juan Fernández-Gracia; Lucas Lacasa (Complex., 2018)

The Dynamics of Norm Change in the Cultural Evolution of Language. - Roberta Amato; Lucas Lacasa; Albert Díaz-Guilera; Andrea Baronchelli (CoRR, 2018)

On a Dynamical Approach to Some Prime Number Sequences. - Lucas Lacasa; Bartolome Luque; Ignacio Gómez; Octavio Miramontes (Entropy, 2018)

Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo. - Joaquín Míguez; Lucas Lacasa; José A. Martínez-Ordóñer; Inés P. Mariño (CAMSAP, 2019)

Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories. - Jacopo Tagliabue; Lucas Lacasa; Ciro Greco; Mattia Pavoni; Andrea Polonioli (ICDM, 2019)

Effect of antipsychotics on community structure in functional brain networks. - Ryan Flanagan; Lucas Lacasa; Emma K. Towlson; Sang Hoon Lee; Mason A. Porter (J. Complex Networks, 2019)

Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce. - Luca Bigon; Giovanni Cassani; Ciro Greco; Lucas Lacasa; Mattia Pavoni; Andrea Polonioli; Jacopo Tagliabue (CoRR, 2019)

Linguistic Laws in Speech: The Case of Catalan and Spanish. - Antoni Hernández-Fernández; Iván González Torre; Juan María Garrido; Lucas Lacasa (Entropy, 2019)

Beyond pairwise network similarity: exploring Mediation and Suppression between networks. - Lucas Lacasa; Sebastiano Stramaglia; Daniele Marinazzo (CoRR, 2020)

Visibility Graphs for Image Processing. - Jacopo Iacovacci; Lucas Lacasa (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Correlations of network trajectories. - Lucas Lacasa; Jorge P. Rodriguez; Víctor M. Eguíluz (CoRR, 2022)

Network bypasses sustain complexity. - Ernesto Estrada; Lucas Lacasa (CoRR, 2022)

Haros graphs: an exotic representation of real numbers. - Jorge Calero-Sanz; Bartolo Luque; Lucas Lacasa (J. Complex Networks, 2022)

Higher-order correlations reveal complex memory in temporal hypergraphs. - Luca Gallo; Lucas Lacasa; Vito Latora; Federico Battiston (CoRR, 2023)

An effective theory of collective deep learning. - Lluís Arola-Fernández; Lucas Lacasa (CoRR, 2023)

Dynamical stability and chaos in artificial neural network trajectories along training. - Kaloyan Danovski; Miguel C. Soriano; Lucas Lacasa (CoRR, 2024)

Towards certification: A complete statistical validation pipeline for supervised learning in industry. - Lucas Lacasa; Abel Pardo; Pablo Arbelo; Miguel Sánchez 001; Pablo Yeste; Noelia Bascones; Alejandro Martínez-Cava; Gonzalo Rubio; Ignacio Gómez; Eusebio Valero; Javier de Vicente (CoRR, 2024)

Scalar embedding of temporal network trajectories. - Lucas Lacasa; F. Javier Marín-Rodríguez; Naoki Masuda; Lluís Arola-Fernández (CoRR, 2024)

Towards certification: A complete statistical validation pipeline for supervised learning in industry. - Lucas Lacasa; Abel Pardo; Pablo Arbelo; Miguel Sánchez-Domínguez 001; Noelia Bascones; Pablo Yeste; Alejandro Martínez-Cava; Gonzalo Rubio; Ignacio Gómez; Eusebio Valero (Expert Syst. Appl., 2025)

Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning. - David Ramos; Lucas Lacasa; Eusebio Valero; Gonzalo Rubio (CoRR, 2025)

Leveraging chaos in the training of artificial neural networks. - Pedro Jiménez-González; Miguel C. Soriano; Lucas Lacasa (CoRR, 2025)