Dries F. Benoit

Dries F. Benoit

Universiteit Gent

H-index: 22

Europe-Belgium

About Dries F. Benoit

Dries F. Benoit, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of Bayesian statistics, Data Analytics, Datamining.

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

Reliable uncertainty with cheaper neural network ensembles: a case study in industrial parts classification

High-stake student drop-out prediction using hidden Markov models in fully asynchronous subscription-based MOOCs

Explainability through uncertainty: Trustworthy decision-making with neural networks

Using Machine Learning Methods for Automation of Size Grid Building and Management

Interpretability and explainability in machine learning

Interpretable GAM Models: Predicting Sepsis in ICU Patients

Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations

Leveraging uncertainty estimation for trustworthy predictions in decision-making

Dries F. Benoit Information

University

Position

Associate professor of Data Analytics

Citations(all)

1894

Citations(since 2020)

1269

Cited By

1090

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

27

i10Index(since 2020)

25

Email

University Profile Page

Universiteit Gent

Google Scholar

View Google Scholar Profile

Dries F. Benoit Skills & Research Interests

Bayesian statistics

Data Analytics

Datamining

Top articles of Dries F. Benoit

Title

Journal

Author(s)

Publication Date

Reliable uncertainty with cheaper neural network ensembles: a case study in industrial parts classification

arXiv preprint arXiv:2403.10182

Arthur Thuy

Dries F Benoit

2024/3/15

High-stake student drop-out prediction using hidden Markov models in fully asynchronous subscription-based MOOCs

Technological Forecasting and Social Change

Dries F Benoit

Wai Kit Tsang

Kristof Coussement

Annelies Raes

2024/1/1

Explainability through uncertainty: Trustworthy decision-making with neural networks

European Journal of Operational Research

Arthur Thuy

Dries F Benoit

2023/9/15

Using Machine Learning Methods for Automation of Size Grid Building and Management

arXiv preprint arXiv:2306.09775

Salim Yunus

Dries Benoit

Filipa Peleja

2023/6/16

Interpretability and explainability in machine learning

Wai Kit Tsang

Dries F Benoit

2022/11/7

Interpretable GAM Models: Predicting Sepsis in ICU Patients

Wai Kit Tsang

Dries F Benoit

2022/11/7

Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations

Ekaterina Loginova

Benoit Dries

2022/7

Leveraging uncertainty estimation for trustworthy predictions in decision-making

Arthur Thuy

Dries Benoit

2022

Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach.

Expert Systems with Applications

Dieter Oosterlinck

Philippe Baecke

Dries F Benoit

2021/5/15

Satisfaction and acceptability of telemonitored home-based exercise in patients with intermittent claudication: Pragmatic observational pilot study

JMIR rehabilitation and assistive technologies

Nils Cornelis

Roselien Buys

Tijl Dewit

Dries Benoit

Jomme Claes

...

2021/3/22

Towards the application of calibrated Transformers to the unsupervised estimation of question difficulty from text

Ekaterina Loginova

Luca Benedetto

Dries Benoit

Paolo Cremonesi

2021

Embedding Navigation Patterns for Student Performance Prediction.

International Educational Data Mining Society

Ekaterina Loginova

Dries F Benoit

2021

Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Machine Learning

Ekaterina Loginova

Wai Kit Tsang

Guus van Heijningen

Louis-Philippe Kerkhove

Dries F Benoit

2021/11/18

Interpretable data science for decision making

Kristof Coussement

Dries F Benoit

2021/11/1

Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model

Decision Support Systems

Kristof Coussement

Minh Phan

Arno De Caigny

Dries F Benoit

Annelies Raes

2020/8/1

Defining a synthetic data generator for realistic electric vehicle charging sessions

Manu Lahariya

Dries Benoit

Chris Develder

2020/6/12

From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour

European Journal of Operational Research

Dieter Oosterlinck

Dries F Benoit

Philippe Baecke

2020/5/1

Gaussian processes for daily demand prediction in tourism planning

Journal of Forecasting

Wai Kit Tsang

Dries F Benoit

2020/4

On realising the utopian potential of big data analytics for maximising return on marketing investments

Journal of Marketing Management

DF Benoit

S Lessmann

W Verbeke

2020/2/12

Synthetic data generator for electric vehicle charging sessions: modeling and evaluation using real-world data

Energies

Manu Lahariya

Dries F Benoit

Chris Develder

2020/8/14

See List of Professors in Dries F. Benoit University(Universiteit Gent)