Ole Mengshoel

Ole Mengshoel

Carnegie Mellon University

H-index: 35

North America-United States

About Ole Mengshoel

Ole Mengshoel, With an exceptional h-index of 35 and a recent h-index of 21 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Artificial Intelligence, Evolutionary Computation, Feedback Computing.

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

Potential applications of deep learning in automatic rock joint trace mapping in a rock mass

Detection and Segmentation of Solar Farms in Satellite Imagery: A Study of Deep Neural Network Architectures

Generating Natural Language Dialogues using Large Language Models with Adapters

Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization

Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method

EvoLP. jl: A playground for Evolutionary Computation in Julia

Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study

Evolutionary Computation with Islands: Extending EvoLP. jl for Parallel Computing

Ole Mengshoel Information

University

Position

Professor of ECE

Citations(all)

5043

Citations(since 2020)

2552

Cited By

3705

hIndex(all)

35

hIndex(since 2020)

21

i10Index(all)

85

i10Index(since 2020)

45

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Ole Mengshoel Skills & Research Interests

Machine Learning

Artificial Intelligence

Evolutionary Computation

Feedback Computing

Top articles of Ole Mengshoel

Title

Journal

Author(s)

Publication Date

Potential applications of deep learning in automatic rock joint trace mapping in a rock mass

IOP Conference Series: Earth and Environmental Science

JK Chiu

Charlie Chunlin Li

Ole Jakob Mengshoel

2023

Detection and Segmentation of Solar Farms in Satellite Imagery: A Study of Deep Neural Network Architectures

Erling Olweus

Ole Jakob Mengshoel

2023/10/13

Generating Natural Language Dialogues using Large Language Models with Adapters

Ellen Zhang Chang

Ole Jakob Mengshoel

2023

Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization

Ole Jakob Mengshoel

Xavier Sánchez Díaz

Fredrik Foss

2023/7/15

Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method

Norsk IKT-konferanse for forskning og utdanning

Erling Van De Weijer

Odd André Owren

Ole Jakob Mengshoel

2023/11/30

EvoLP. jl: A playground for Evolutionary Computation in Julia

Xavier FC Sánchez-Díaz

Ole Jakob Mengshoel

2023

Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study

Magnus Eide Schjølberg

Nicklas Paus Bekkevold

Xavier Sánchez-Díaz

Ole Jakob Mengshoel

2023/7/15

Evolutionary Computation with Islands: Extending EvoLP. jl for Parallel Computing

Norsk IKT-konferanse for forskning og utdanning

Xavier FC Sánchez-Díaz

Ole Jakob Mengshoel

2023/11/30

Speeding up Adaptive Stress Testing: Reinforcement Learning using Monte Carlo Tree Search with Neural Networks and Memoization

The 37th AAAI Conference on Artificial Intelligence

Brage Lytskjold

Ole Jakob Mengshoel

2023

Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks

Frontiers in Big Data

Shanmuga Venkatachalam

Harideep Nair

Ming Zeng

Cathy Shunwen Tan

Ole J Mengshoel

...

2023/3/10

Dispatching Ambulances using Deep Reinforcement Learning

Jon Elias Moen

Ole Jakob Mengshoel

2023/10/13

From data to interpretable models: machine learning for soil moisture forecasting

International Journal of Data Science and Analytics

Aniruddha Basak

Kevin M Schmidt

Ole Jakob Mengshoel

2023/1

Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections

26th European Conference on Artificial Intelligence (ECAI)

Eirik Lund Flogard

Ole Jakob Mengshoel

Ole Magnus Theisen

Kerstin Bach

2023

Integrating Visual Cues via Prompting for Low-Resource Multimodal Named Entity Recognition

Marcus Tiedemann Oekland Henriksboe

Tong Yu

Ole Jakob Mengshoel

2023/10/13

Creating dynamic checklists via Bayesian case-based reasoning: Towards decent working conditions for all

Eirik Lund Flogard

Ole Jakob Mengshoel

Kerstin Bach

2022

A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments

Advances in Neural Information Processing Systems

Eirik Lund Flogard

Ole Jakob Mengshoel

2022/12/6

SemNet: Learning semantic attributes for human activity recognition with deep belief networks

Frontiers in big Data

Shanmuga Venkatachalam

Harideep Nair

Ming Zeng

Cathy Shunwen Tan

Ole J Mengshoel

...

2022/8/30

Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search

Ole Jakob Mengshoel

Eirik Lund Flogard

Tong Yu

Jon Riege

2022/7/8

Future Computer Systems and Networking Research in the Netherlands: A Manifesto

arXiv preprint arXiv:2206.03259

Alexandru Iosup

Fernando Kuipers

Ana Lucia Varbanescu

Paola Grosso

Animesh Trivedi

...

2022/5/26

Identification of failure modes in the collision avoidance system of an autonomous ferry using adaptive stress testing

IFAC-PapersOnLine

Hanna W Hjelmeland

Bjørn-Olav H Eriksen

Ole J Mengshoel

Anastasios M Lekkas

2022/1/1

See List of Professors in Ole Mengshoel University(Carnegie Mellon University)

Co-Authors

H-index: 97
Dan Roth

Dan Roth

University of Pennsylvania

H-index: 65
Adnan Darwiche

Adnan Darwiche

University of California, Los Angeles

H-index: 63
Gautam Biswas

Gautam Biswas

Vanderbilt University

H-index: 58
Mykel J. Kochenderfer

Mykel J. Kochenderfer

Stanford University

H-index: 34
Ian Lane

Ian Lane

Carnegie Mellon University

H-index: 23
Tong Yu

Tong Yu

Carnegie Mellon University

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