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Jérémy Renaud

Département DISC
équipe AND

Courriel :: jeremy.renaud [at] femto-st.fr
Adresse :: DISC - IUTBM - UFC (Belfort IUT-BM)
19 avenue du Maréchal Juin - BP 527
90016 BELFORT Cedex

article - Deep learning and gradient boosting for urban environmental noise monitoring in smart cities
Expert Systems with Applications (Volume 218, may 2023, Pages :119568 (12))
Renaud, Jérémy | Karam, Ralph | Salomon, Michel | Couturier, Raphael
pdf | doi

inproceedings - A comparative study of predictive models for pharmaceutical sales data
2nd IEEE International Conference on Computer, Control and Robotics (ICCCR 2022) / Shanghai, China (2022, Pages pages 191 - 195)
Renaud, Jérémy | Couturier, Raphael | Guyeux, Christophe | Courjal, Benoît | Giot, Christine
pdf | doi | bibtex@inproceedings{2ac8942a-3edb-430b-a363-c1d1fe2a36e6, title = {A comparative study of predictive models for pharmaceutical sales data}, author = {Renaud, J\'er\'emy and Couturier, Raphael and Guyeux, Christophe and Courjal, Beno\^it and Giot, Christine}, year = {2022}, address = {Shanghai, China}, booktitle = {2nd IEEE International Conference on Computer, Control and Robotics (ICCCR 2022)}, editor = {2ac8942a-3edb-430b-a363-c1d1fe2a36e6-editor.pdf}, month = {mar}, pages = {191 - 195}, url = {https://publiweb.femto-st.fr/tntnet/entries/18705/documents/author/data}, doi = {https://doi.org/10.1109/ICCCR54399.2022.9790232} }