Gaetan Bakalli

About Gaetan Bakalli

Gaetan Bakalli, With an exceptional h-index of 6 and a recent h-index of 5 (since 2020), a distinguished researcher at Université de Genève, specializes in the field of Statistics, Machine Learning, Econometrics, Finance, Health Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

A penalized two-pass regression to predict stock returns with time-varying risk premia

Platform combining statistical modeling and patient-derived organoids to facilitate personalized treatment of colorectal carcinoma

Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration

Evidence of antagonistic predictive effects of miRNAs in breast cancer cohorts through data-driven networks

Non applicability of validated predictive models for intensive care admission and death of COVID-19 patients in a secondary care hospital in Belgium

Swag: A Wrapper Method for Sparse Learning

Wavelet-based moment-matching techniques for inertial sensor calibration

Chameleon microRNAs in breast cancer: their elusive role as regulatory factors in cancer progression

Gaetan Bakalli Information

University

Position

___

Citations(all)

108

Citations(since 2020)

101

Cited By

26

hIndex(all)

6

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Gaetan Bakalli Skills & Research Interests

Statistics

Machine Learning

Econometrics

Finance

Health Science

Top articles of Gaetan Bakalli

A penalized two-pass regression to predict stock returns with time-varying risk premia

Journal of Econometrics

2023/12/1

Platform combining statistical modeling and patient-derived organoids to facilitate personalized treatment of colorectal carcinoma

Journal of Experimental & Clinical Cancer Research

2023/4/3

Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration

IEEE Transactions on Signal Processing

2023/3/29

Evidence of antagonistic predictive effects of miRNAs in breast cancer cohorts through data-driven networks

Scientific Reports

2022/3/25

Non applicability of validated predictive models for intensive care admission and death of COVID-19 patients in a secondary care hospital in Belgium

medRxiv

2020/11/9

Swag: A Wrapper Method for Sparse Learning

arXiv preprint arXiv:2006.12837

2020/6/23

Wavelet-based moment-matching techniques for inertial sensor calibration

IEEE Transactions on Instrumentation and Measurement

2020/4/8

Chameleon microRNAs in breast cancer: their elusive role as regulatory factors in cancer progression

bioRxiv

2020/12/15

See List of Professors in Gaetan Bakalli University(Université de Genève)

Co-Authors

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