Artificial Intelligence Foundations

Research group

Artificial Intelligence Foundations

About us

Artificial Intelligence Foundations reflects the broad range of fundamental AI concepts and tools researched within
the group, from “classic” approaches involving logic and explicit knowledge representation to trending
statistics-based Machine Learning (ML) methods; and from the scientific use of AI to investigate natural intelligence to complex
problem solving from a purely engineering perspective.

Research activity

Result 30 of 623 for
Publications Authors Journal Year
Dynamic robustness evaluation for automated model selection in operation J. Zhang, J. Li, Z. Yang ...more authors Information and Software Technology 2025
Automated computer vision based individual salmon (Salmo salar) breathing rate estimation (SaBRE) for improved state observability E.B. Hogstedt, C. Schellewald, R. Mester, A. Stahl ...more authors Aquaculture 2025
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles X.F.C. Sanchez-Diaz, O.J. Mengshoel ...more authors GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion 2024
Customizing graph neural networks using path reweighting J. Chen, Y. Wang, M. Zeng, Z. Xiang, B. Hou, Y. Tong, O.J. Mengshoel, Y. Ren ...more authors Information Sciences 2024
Self-supervised Learning for DNA sequences with circular dilated convolutional networks L. Cheng, T. Yu, R. Khalitov, Z. Yang ...more authors Neural Networks 2024
RGB-D Mapping and Tracking in a Plenoxel Radiance Field A.L. Teigen, Y. Park, A. Stahl, R. Mester ...more authors Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024 2024
Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera T.A. Nygard, E.F. Brekke, R. Mester, A. Stahl ...more authors Journal of Physics: Conference Series 2024
A Lightweight, Polarization-Camera Equipped Sensor Rig for the Development of Autonomous Surface Vehicles E. Martens, E.F. Brekke, R. Mester, A. Stahl ...more authors Journal of Physics: Conference Series 2024
FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues J.T. Grini, R. Mester, T.A. Nygard, N. Dalhaug, E.F. Brekke, A. Stahl ...more authors FUSION 2024 - 27th International Conference on Information Fusion 2024
Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking N. Dalhaug, A. Stahl, R. Mester, E.F. Brekke ...more authors FUSION 2024 - 27th International Conference on Information Fusion 2024
A General Low-Parameter 3D Ship Hull Extent Model for Object Tracking M.E. Lopez, K. Vasstein, E.F. Brekke, R. Mester, A. Stahl ...more authors FUSION 2024 - 27th International Conference on Information Fusion 2024
Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar∗ H. Hilmarsen, N. Dalhaug, T.A. Nygard, E.F. Brekke, R. Mester, A. Stahl ...more authors FUSION 2024 - 27th International Conference on Information Fusion 2024
Regularized Feature Selection Landscapes: An Empirical Study of Multimodality X.F.C. Sanchez-Diaz, C. Masson, O.J. Mengshoel ...more authors Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
Stereo Camera-based Free Space Estimation for Docking in Urban Waters T.A. Nygard, N. Dalhaug, R. Mester, E.F. Brekke, A. Stahl ...more authors Modeling, Identification and Control 2024
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections E.L. Flogard, O.J. Mengshoel, O.M. Theisen, K. Bach ...more authors Frontiers in Artificial Intelligence and Applications 2023
The Evolution of Conformity, Malleability, and Influence in Simulated Online Agents K.L. Downing ...more authors Artificial Life 2023
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization O.J. Mengshoel, F. Foss, X.F.C. Sanchez-Diaz ...more authors GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion 2023
Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study M.E. Schjolberg, N.P. Bekkevold, X.F.C. Sanchez-Diaz, O.J. Mengshoel ...more authors GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference 2023
Combining genetic local search into a multi-population Imperialist Competitive Algorithm for the Capacitated Vehicle Routing Problem B. Rezaei, F.G. Guimaraes, R. Enayatifar, P.C. Haddow ...more authors Applied Soft Computing 2023
Stochastic cluster embedding Z. Yang, Y. Chen, D. Sedov, S. Kaski, J. Corander ...more authors Statistics and Computing 2023
Classification of long sequential data using circular dilated convolutional neural networks L. Cheng, R. Khalitov, T. Yu, J. Zhang, Z. Yang ...more authors Neurocomputing 2023
CHORDMIXER: A SCALABLE NEURAL ATTENTION MODEL FOR SEQUENCES WITH DIFFERENT LENGTHS R. Khalitov, T. Yu, L. Cheng, Z. Yang ...more authors 11th International Conference on Learning Representations, ICLR 2023 2023
Multiscan Shape Estimation for Extended Object Tracking M.E. Lopez, E.F. Brekke, R. Mester, A. Stahl ...more authors 2023 26th International Conference on Information Fusion, FUSION 2023 2023
Maritime radar odometry inspired by visual odometry H.D. Flemmen, R. Mester, A. Stahl, T.H. Bryne, E.F. Brekke ...more authors 2023 26th International Conference on Information Fusion, FUSION 2023 2023
EvoLP.jl: A playground for Evolutionary Computation in Julia X.F.C. Sanchez-Diaz, O.J. Mengshoel ...more authors CEUR Workshop Proceedings 2023
Generating Natural Language Dialogues using Large Language Models with Adapters E.Z. Chang, O.J. Mengshoel ...more authors CEUR Workshop Proceedings 2023
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks(Front. Big Data, (2022), 5, (879389), 10.3389/fdata.2022.879389) S. Venkatachalam, H. Nair, M. Zeng, C.S. Tan, O.J. Mengshoel, J.P. Shen ...more authors Frontiers in Big Data 2023
Realistic Full-Body Anonymization with Surface-Guided GANs H. Hukkelas, M. Smebye, R. Mester, F. Lindseth ...more authors Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 2023
Potential applications of deep learning in automatic rock joint trace mapping in a rock mass J.K. Chiu, C.C. Li, O.J. Mengshoel ...more authors IOP Conference Series: Earth and Environmental Science 2023
Effective Organizing on the Fly: Social Capital in Temporary Organizations E. Joyce, P. Ozturk, J.C. Pike ...more authors Journal of Computer Information Systems 2023
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