ROOSTER: A machine-learning analysis tool for Kepler stellar rotation periods
S.N. Breton, A.R.G. Santos, L.A. Bugnet, S. Mathur, R.A. García, P.L. Pallé, Astronomy &; Astrophysics 647 (2021).

Estimating information flow in single cells
S.A. Cepeda Humerez, Estimating Information Flow in Single Cells, Institute of Science and Technology Austria, 2019.

A search for red giant solar-like oscillations in all Kepler data
M. Hon, D. Stello, R.A. García, S. Mathur, S. Sharma, I.L. Colman, L.A. Bugnet, Monthly Notices of the Royal Astronomical Society 485 (2019) 5616–5630.

Surface rotation and photometric activity for Kepler targets. I. M and K main-sequence stars
A.R.G. Santos, R.A. García, S. Mathur, L.A. Bugnet, J.L. van Saders, T.S. Metcalfe, G.V.A. Simonian, M.H. Pinsonneault, The Astrophysical Journal Supplement Series 244 (2019).

Automatic classification of K2 pulsating stars using machine learning techniques
A.L. Saux, L.A. Bugnet, S. Mathur, S.N. Breton, R.A. Garcia, ArXiv (n.d.).

FliPer: A global measure of power density to estimate surface gravities of main-sequence solar-like stars and red giants
L.A. Bugnet, R.A. García, G.R. Davies, S. Mathur, E. Corsaro, O.J. Hall, B.M. Rendle, Astronomy &; Astrophysics 620 (2018).

FliPer: Classifying TESS pulsating stars
L.A. Bugnet, R.A. García, G.R. Davies, S. Mathur, O.J. Hall, B.M. Rendle, ArXiv (n.d.).

FliPer: Checking the reliability of global seismic parameters from automatic pipelines
L.A. Bugnet, R.A. Garcia, G.R. Davies, S. Mathur, E. Corsaro, ArXiv (n.d.).

Stimfit: A fast visualization and analysis environment for cellular neurophysiology
A. Schlögl, P.M. Jonas, C. Schmidt-Hieber, S.J. Guzman, Biomedical Engineering / Biomedizinische Technik 58 (2013).