Gianpiero Canessa

About Gianpiero Canessa

Gianpiero Canessa, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of optimization, stochastic optimization, integer optimization.

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

Operating room scheduling under waiting time constraints: the Chilean GES plan

Chance-constrained problems and rare events: an importance sampling approach

Chance constrained conic-segmentation support vector machine with uncertain data

Service design to balance waiting time and infection risk: An application for elections during the COVID-19 pandemic

An optimization model with stochastic variables for flexible production logistics planning

Hacia el reconocimiento de evidencias arqueológicas por medio de la aplicación de machine learning: una posible nueva herramienta en métodos de prospección

The risk-averse ultimate pit problem

Static risk-averse models with applications to mining

Gianpiero Canessa Information

University

Position

___

Citations(all)

86

Citations(since 2020)

73

Cited By

45

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Gianpiero Canessa Skills & Research Interests

optimization

stochastic optimization

integer optimization

Top articles of Gianpiero Canessa

Operating room scheduling under waiting time constraints: the Chilean GES plan

2023/4/5

Gianpiero Canessa
Gianpiero Canessa

H-Index: 2

Chance-constrained problems and rare events: an importance sampling approach

2023/4/5

Chance constrained conic-segmentation support vector machine with uncertain data

Annals of Mathematics and Artificial Intelligence

2023/1/16

Shen Peng
Shen Peng

H-Index: 2

Gianpiero Canessa
Gianpiero Canessa

H-Index: 2

Service design to balance waiting time and infection risk: An application for elections during the COVID-19 pandemic

Service Science

2022/6

An optimization model with stochastic variables for flexible production logistics planning

arXiv preprint arXiv:2203.17033

2022/3/31

Hacia el reconocimiento de evidencias arqueológicas por medio de la aplicación de machine learning: una posible nueva herramienta en métodos de prospección

Praxis Arqueológica

2022/3/29

Luis Cornejo
Luis Cornejo

H-Index: 10

Gianpiero Canessa
Gianpiero Canessa

H-Index: 2

The risk-averse ultimate pit problem

Optimization and Engineering

2021/12

Gianpiero Canessa
Gianpiero Canessa

H-Index: 2

Eduardo Moreno
Eduardo Moreno

H-Index: 13

Static risk-averse models with applications to mining

2021/10/22

Gianpiero Canessa
Gianpiero Canessa

H-Index: 2

Quasi-Newton methods for minimizing a quadratic function subject to uncertainty

arXiv preprint arXiv:2109.00072

2021/8/31

Shen Peng
Shen Peng

H-Index: 2

Gianpiero Canessa
Gianpiero Canessa

H-Index: 2

Logistics of Voting in Pandemic: Balancing Waiting Time with Infection Risk

SSRN Electron. J

2020/11/15

See List of Professors in Gianpiero Canessa University(Kungliga Tekniska högskolan)

Co-Authors

academic-engine