Martin Trépanier
professor at Polytechnique Montréal
Facts
10 properties- Instance of
- human
- Date of birth
- 1970
- Occupation
- university teacher
- Educated at
- Polytechnic School of Montreal[5]
- Doctoral student
- Chahid Ahabchane[7]
🏷️ Also known as
en Martin Trépanier
🔖 Identifiers · 13
- ISNI
- 0000000074972460
- ORCID iD
- 0000-0001-8408-8035
- VIAF cluster ID
- 106278717
- DBLP author ID
- 57/620
- Google Scholar author ID
- pbLdcVkAAAAJ
- IdRef ID
- 174440847
- LinkedIn personal profile ID
- matrepanier
- Mathematics Genealogy Project ID
- 262198
- ResearchGate profile ID
- Martin-Trepanier-2
- SciProfiles ID
- 2003452
- Scopus author ID
- 6603041080
- WorldCat Entities ID
- E39PCjFvTb9VyhmGFHjJKwPqgq
Show all 13 identifiers +1
- X (Twitter) username
- mtrepanierpoly
🔗 Connections
Author of 15
A case study of snow plow routing using an adaptive large hood search metaheuristic,
A classification of public transit users with smart card data based on time series distance metrics and a hierarchical clustering method,
Analyzing year-to-year changes in public transport passenger behaviour using smart card data,
Assessing the public transport travel behavior consistency from smart card data,
A visual segmentation method for temporal smart card data,
Contextual anomaly detection on time series: a case study of metro ridership analysis,
Evaluation Criteria of Smart City Mobility System Using MCDM Method,
Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering
+7 more
← Authored by 15
A case study of snow plow routing using an adaptive large hood search metaheuristic,
A classification of public transit users with smart card data based on time series distance metrics and a hierarchical clustering method,
Analyzing year-to-year changes in public transport passenger behaviour using smart card data,
Assessing the public transport travel behavior consistency from smart card data,
A visual segmentation method for temporal smart card data,
Contextual anomaly detection on time series: a case study of metro ridership analysis,
Evaluation Criteria of Smart City Mobility System Using MCDM Method,
Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering
+7 more
Press Enter · cited answer in seconds