Janosch Ortmann

About Janosch Ortmann

Janosch Ortmann, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Université du Québec à Montréal, specializes in the field of probability theory, applied machine learning, stochastic optimisation, personalised medicine.

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

A Cost Focused Machine Learning framework for replen-ishment decisions under transportation cost uncertainty

Problem-driven scenario clustering in stochastic optimization

On the distribution of cosine similarity with application to biology

A machine learning approach to deal with ambiguity in the humanitarian decision‐making

Decision-based scenario clustering for decision-making under uncertainty

Evaluation of statistical approaches SmSS

Evaluation of statistical approaches for association testing in noisy drug screening data

Coupling derivation of optimal-order central moment bounds in exponential last-passage percolation

Janosch Ortmann Information

University

Position

Assistant Professor in Business Intelligence

Citations(all)

481

Citations(since 2020)

395

Cited By

203

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Janosch Ortmann Skills & Research Interests

probability theory

applied machine learning

stochastic optimisation

personalised medicine

Top articles of Janosch Ortmann

A Cost Focused Machine Learning framework for replen-ishment decisions under transportation cost uncertainty

Les Cahiers du GERAD ISSN

2024/1

Problem-driven scenario clustering in stochastic optimization

Computational Management Science

2023/12

On the distribution of cosine similarity with application to biology

arXiv preprint arXiv:2310.13994

2023/10/21

A machine learning approach to deal with ambiguity in the humanitarian decision‐making

Production and Operations Management

2023/9

Janosch Ortmann
Janosch Ortmann

H-Index: 6

Walter Rei
Walter Rei

H-Index: 25

Decision-based scenario clustering for decision-making under uncertainty

Annals of Operations Research

2022/8

Evaluation of statistical approaches SmSS

2022/5/18

Evaluation of statistical approaches for association testing in noisy drug screening data

BMC bioinformatics

2022/5/18

Coupling derivation of optimal-order central moment bounds in exponential last-passage percolation

arXiv preprint arXiv:2204.06613

2022/4/13

A novel framework to deal with ambiguity in the humanitarian decision making

2022

Janosch Ortmann
Janosch Ortmann

H-Index: 6

Walter Rei
Walter Rei

H-Index: 25

Assessing therapy response in patient-derived xenografts

Science Translational Medicine

2021/11/17

L’impact de l’usage de technologies numériques sur l’évolution des pratiques de travail en gestion de projets lors de la pandémie de la COVID-19: leçons de l’expérience

2021/8/19

Correlates of career satisfaction in internationally educated nurses: A cross-sectional survey-based study

International Journal of Nursing Studies

2021

KuLGaP: A selective measure for assessing therapy response in patient-derived xenografts

bioRxiv

2020/1/1

Using deep convolutional neural networks for neonatal brain image segmentation

Frontiers in neuroscience

2020/3/26

Yang Ding
Yang Ding

H-Index: 16

Janosch Ortmann
Janosch Ortmann

H-Index: 6

Major projects optimal capacity and timing with time-to-build and investment cost dependency on capacity

International Journal of Applied Decision Sciences

2020

Skander Ben Abdallah
Skander Ben Abdallah

H-Index: 4

Janosch Ortmann
Janosch Ortmann

H-Index: 6

See List of Professors in Janosch Ortmann University(Université du Québec à Montréal)