Ole Jakob Mengshoel

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Subset Selection

Hybrid Evolutionary Algorithms

Machine Learning

Top Venues

GECCO Companion

Publications

Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles. GECCO Companion (2024)
Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
EvoLP.jl: A Playground for Evolutionary Computation in Julia. NAIS (2023)
Aniruddha Basak, Kevin M. Schmidt, Ole Jakob Mengshoel
From data to interpretable models: machine learning for soil moisture forecasting. Int. J. Data Sci. Anal. 15 (1) (2023)
Ellen Zhang Chang, Ole Jakob Mengshoel
Generating Natural Language Dialogues Using Large Language Models with Adapters. NAIS (2023)
Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. ECAI (2023)
Magnus Eide Schjølberg, Nicklas Paus Bekkevold, Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study. GECCO (2023)
Ole Jakob Mengshoel, Xavier F. C. Sánchez-Díaz, Fredrik Foss
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization. GECCO Companion (2023)
Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege
Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. GECCO (2022)
Eirik Lund Flogard, Ole Jakob Mengshoel
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments. NeurIPS (2022)
Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI (2022)
Fredrik Foss, Ole Jakob Mengshoel
A multimethod approach to multimodal function optimization. GECCO Companion (2021)
Anna Haugsbø Hermansen, Ole Jakob Mengshoel
Forecasting Ambulance Demand using Machine Learning: A Case Study from Oslo, Norway. SSCI (2021)
Ingrid Ravn Turkerud, Ole Jakob Mengshoel
Image Captioning using Deep Learning: Text Augmentation by Paraphrasing via Backtranslation. SSCI (2021)
Eirik Høgdahl Skjærseth, Harald Vinje, Ole Jakob Mengshoel
Novelty search for evolving interesting character mechanics for a two-player video game. GECCO Companion (2021)
Jan Burak, Ole Jakob Mengshoel
A multi-objective genetic algorithm for jacket optimization. GECCO Companion (2021)
Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard
Stochastic local search for efficient hybrid feature selection. GECCO Companion (2021)
Eirik Flogard, Ole Jakob Mengshoel, Kerstin Bach
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. ICCBR (2021)
Ole Jakob Mengshoel, Tong Yu, Ming Zeng
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. ECAI (2020)