Gaetan Bakalli

Research

Working papers

• SWAG: A Wrapper Method for Sparse Learning R. Molinari, G. Bakalli, S. Guerrier, C. Miglioli, S. Orso, O. Scaillet
  • arXiv
  • SSRN

Journal articles

• Nonstandard Errors A. J. Menkveld, A. Dreber, F. Holzmeister, J. Huber, M. Johannesson, M. Kirchler, M. Razen, U. Weitzel, …, G. Bakalli, et al. (crowdsourced project, 342 coauthors) Journal of Finance, 79(3), 2339–2390, 2024
  • SSRN
• A Penalized Two-Pass Regression to Predict Stock Returns with Time-Varying Risk Premia G. Bakalli, S. Guerrier, O. Scaillet Journal of Econometrics, 237(2), 105375, 2023
  • Journal
  • SSRN
• Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration G. Bakalli, D. A. Cucci, A. Radi, N. El-Sheimy, R. Molinari, O. Scaillet, S. Guerrier IEEE Transactions on Signal Processing, 71, 1103–1114, 2023
  • arXiv
  • SSRN
• Platform Combining Statistical Modeling and Patient-Derived Organoids to Facilitate Personalized Treatment of Colorectal Carcinoma G. M. Ramzy, M. Norkin, T. Koessler, L. Voirol, M. Tihy, D. Hany, T. McKee, F. Ris, N. Buchs, M. Docquier, C. Toso, L. Rubbia-Brandt, G. Bakalli, S. Guerrier, J. Huelsken, P. Nowak-Sliwinska Journal of Experimental & Clinical Cancer Research, 42(1), 79, 2023
  • Journal
• Evidence of Antagonistic Predictive Effects of miRNAs in Breast Cancer Cohorts Through Data-Driven Networks C. Miglioli, G. Bakalli, S. Guerrier, S. Orso, R. Molinari, M. Karemera, N. Mili Scientific Reports, 12, 5166, 2022
  • Journal
• Non Applicability of Validated Predictive Models for Intensive Care Admission and Death of COVID-19 Patients in a Secondary Care Hospital in Belgium N. Parisi, A. Janier-Dubry, E. Ponzetto, C. Pavlopoulos, G. Bakalli, R. Molinari, S. Guerrier, N. Mili Journal of Emergency and Critical Care Medicine, 5, 22, 2021
  • Journal
• Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration S. Guerrier, J. Jurado, M. Khaghani, G. Bakalli, M. Karemera, R. Molinari, S. Orso, J. Raquet, C. Schubert Kabban, J. Skaloud, H. Xu, Y. Zhang IEEE Transactions on Instrumentation and Measurement, 69(10), 7542–7551, 2020
  • Journal
• A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling A. Radi, G. Bakalli, S. Guerrier, N. El-Sheimy, A. B. Sesay, R. Molinari IEEE Transactions on Instrumentation and Measurement, 68(12), 4924–4936, 2019
  • Journal

Conference proceedings

• A Two-Step Computationally Efficient Procedure for IMU Classification and Calibration G. Bakalli, A. Radi, S. Nassar, S. Guerrier, Y. Zhang, R. Molinari IEEE/ION Position, Location and Navigation Symposium (PLANS), 534–540, 2018
  • Proceedings
• An Automatic Calibration Approach for the Stochastic Parameters of Inertial Sensors A. Radi, G. Bakalli, N. El-Sheimy, S. Guerrier, R. Molinari Proceedings of ION GNSS+ 2017, 3028–3038, 2017
  • Proceedings
• A Computational Multivariate-Based Technique for Inertial Sensor Calibration G. Bakalli, A. Radi, N. El-Sheimy, R. Molinari, S. Guerrier Proceedings of ION GNSS+ 2017, 3053–3060, 2017
  • Proceedings

Curriculum vitae

Positions

Education