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Gene-Gene Interactions Detection Using a Two-Stage Model.

Z. Wang, J. Sul, S. Snir, J. Lozano, und E. Eskin. RECOMB, Volume 8394 von Lecture Notes in Computer Science, Seite 340-355. Springer, (2014)

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Basil Jose University of Stuttgart

QoI - Droplets : Database of droplets (quantity of interest) for generating synthetic training dataB. Jose, und F. Hampp. Dataset, (2025)Related to: Basil Jose, Fabian Hampp (2024). Machine learning based spray process quantification. International Journal of Multiphase Flow 172, 104702. doi: 10.1016/j.ijmultiphaseflow.2023.104702.

QoI - Droplets : Database of droplets (quantity of interest) for generating synthetic training dataB. Jose, und F. Hampp. Dataset, (2025)Related to: Basil Jose, Fabian Hampp (2024). Machine learning based spray process quantification. International Journal of Multiphase Flow 172, 104702. doi: 10.1016/j.ijmultiphaseflow.2023.104702.Code for training and using the soot (instance) segmentation models : Instance segmentation model to extract soot filaments from PIV measurements in RQL-type combustorB. Jose, K. Geigle, und F. Hampp. Software, (2025)QoI - Soot filaments : Database of soot filaments image snippets for generating synthetic training dataB. Jose, K. Geigle, und F. Hampp. Dataset, (2025)

Jithin Jose University of Stuttgart

Antonio Raiolo University of Stuttgart

Prof. Jose Luis Moro University of Stuttgart

Jose Juan Jeronimo Rendon University of Stuttgart

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Mathematical programming strategies for solving the minimum common string partition problem.C. Blum, J. Lozano, und P. Davidson. European Journal of Operational Research, 242 (3): 769-777 (2015)Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms.J. Peña, J. Lozano, und P. Larrañaga. Probabilistic Graphical Models, (2002)Editorial.P. Larrañaga, J. Lozano, J. Peña, und I. Inza. Machine Learning, 59 (3): 211-212 (2005)Clinical Validation of a Virtual Environment Test for Safe Street Crossing in the Assessment of Acquired Brain Injury Patients with and without Neglect.P. Mesa-Gresa, J. Lozano, R. Lloréns, M. Raya, M. Navarro, und E. Noé. INTERACT (2), Volume 6947 von Lecture Notes in Computer Science, Seite 44-51. Springer, (2011)Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis.C. Echegoyen, A. Mendiburu, R. Santana, und J. Lozano. IEEE Trans. Evolutionary Computation, 16 (2): 173-189 (2012)Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems.J. Wang, K. Tang, J. Lozano, und X. Yao. IEEE Trans. Evolutionary Computation, 20 (1): 96-109 (2016)How natural is a natural interface? An evaluation procedure based on action breakdowns.L. Gamberini, A. Spagnolli, L. Prontu, S. Furlan, F. Martino, B. Solaz, M. Raya, und J. Lozano. Personal and Ubiquitous Computing, 17 (1): 69-79 (2013)A general framework for the statistical analysis of the sources of variance for classification error estimators.J. Rodríguez, A. Martínez, und J. Lozano. Pattern Recognition, 46 (3): 855-864 (2013)On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms.C. Echegoyen, A. Mendiburu, R. Santana, und J. Lozano. Evolutionary Computation, 21 (3): 471-495 (2013)Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms.A. Mendiburu, J. Miguel-Alonso, und J. Lozano. Parallel Processing Letters, 16 (1): 133-148 (2006)