Ole Jakob Mengshoel

28 papers A* 2A 4B 1C 1Journal 4Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Artificial intelligence methods in gestational diabetes mellitus prediction: A systematic literature review. Int. J. Medical Informatics Valentina Ivanovic, Md Abu Jafar Sujan, Ole Jakob Mengshoel, Trine Moholdt
2026	J	`jnl`	Automated rock joint trace mapping using a supervised learning model trained on synthetic data generated by parametric modelling. CoRR Jessica Ka Yi Chiu, Tom Frode Hansen, Eivind Magnus Paulsen, Ole Jakob Mengshoel
2025	B	`conf`	Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings. COLING Tollef Emil Jørgensen, Ole Jakob Mengshoel
2025	—	`conf`	Empirical Studies of Multimodality in Feature Selection: Generalized Crowding for Genetic Algorithms. GECCO Companion Corentin Masson, Ole Jakob Mengshoel, Xavier F. C. Sánchez-Díaz
2025	—	`conf`	Evolutionary Adaptive Stress Testing for Collision Avoidance in Sustainable Maritime Transportation. GECCO Companion Thomas Steenfeldt Laursen, Ole Jakob Mengshoel
2025	—	`conf`	Fair Ambulance Allocation via Multi-Objective Evolutionary Optimization. EvoApplications (2) Torjus Åmellem Kallekleiv, Ole Jakob Mengshoel
2025	J	`jnl`	Visualizing Multimodality in Combinatorial Search Landscapes. CoRR Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
2025	—	`conf`	Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning. EvoCOP@EvoStar Corentin Masson, Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
2024	—	`conf`	Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles. GECCO Companion Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
2024	—	`conf`	Regularized Feature Selection Landscapes: An Empirical Study of Multimodality. PPSN (1) Xavier F. C. Sánchez-Díaz, Corentin Masson, Ole Jakob Mengshoel
2023	A	`conf`	Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study. GECCO Magnus Eide Schjølberg, Nicklas Paus Bekkevold, Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
2023	—	`conf`	Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization. GECCO Companion Ole Jakob Mengshoel, Xavier F. C. Sánchez-Díaz, Fredrik Foss
2023	A	`conf`	Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. ECAI Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach
2023	—	`conf`	EvoLP.jl: A Playground for Evolutionary Computation in Julia. NAIS Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel
2023	J	`jnl`	From data to interpretable models: machine learning for soil moisture forecasting. Int. J. Data Sci. Anal. Aniruddha Basak, Kevin M. Schmidt, Ole Jakob Mengshoel
2023	—	`conf`	Generating Natural Language Dialogues Using Large Language Models with Adapters. NAIS Ellen Zhang Chang, Ole Jakob Mengshoel
2022	A*	`conf`	A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments. NeurIPS Eirik Lund Flogard, Ole Jakob Mengshoel
2022	A*	`conf`	Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. IJCAI Eirik Lund Flogard, Ole Jakob Mengshoel, Kerstin Bach
2022	A	`conf`	Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. GECCO Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege
2021	—	`conf`	A multi-objective genetic algorithm for jacket optimization. GECCO Companion Jan Burak, Ole Jakob Mengshoel
2021	—	`conf`	A multimethod approach to multimodal function optimization. GECCO Companion Fredrik Foss, Ole Jakob Mengshoel
2021	C	`conf`	Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists. ICCBR Eirik Flogard, Ole Jakob Mengshoel, Kerstin Bach
2021	—	`conf`	Forecasting Ambulance Demand using Machine Learning: A Case Study from Oslo, Norway. SSCI Anna Haugsbø Hermansen, Ole Jakob Mengshoel
2021	—	`conf`	Image Captioning using Deep Learning: Text Augmentation by Paraphrasing via Backtranslation. SSCI Ingrid Ravn Turkerud, Ole Jakob Mengshoel
2021	—	`conf`	Novelty search for evolving interesting character mechanics for a two-player video game. GECCO Companion Eirik Høgdahl Skjærseth, Harald Vinje, Ole Jakob Mengshoel
2021	—	`conf`	Stochastic local search for efficient hybrid feature selection. GECCO Companion Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard
2020	A	`conf`	Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. ECAI Ole Jakob Mengshoel, Tong Yu, Ming Zeng
1999	—	`—`	Efficient Bayesian Network Inference: Genetic Algorithms, Stochastic Local Search, and Abstraction Ole Jakob Mengshoel