Ole Jakob Mengshoel
About
Ole J. Mengshoel is a Professor at the Department of Computer Science He is also head of the Norwegian Open AI Lab and is a member of the Data and artificial intelligence – (DART) research group. Professor Mengshoel has an MSc in Computer Science from NTH (now NTNU), and a PhD in Computer Science from the University of Illinois at Urbana-Champaign, USA.
Research interests
Artificial intelligence; Machine learning and discovery; Reasoning and learning under uncertainty; Probabilistic and statistical methods (including Bayesian networks); Evolutionary computation; Stochastic local search; Detection, diagnosis, and mitigation; Real-time and embedded systems; Visualization and decision support; Big data and scalability; Applications with artificial intelligence and machine learning.
Recent work experience
- 2018- present; Professor, Department of Computer Science, NTNU
- 2018- present; Adjunct Faculty, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA
- 2016-2018 Principal Systems Scientist, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA2012-2016 Associate Research Professor, ECE Department, Carnegie Mellon University, Silicon Valley, Moffett Field, California, USA
- 2008-2012 Senior Systems Scientist, Research Area Lead, USRA/RIACS, NASA Ames Research Center, Moffett Field, , California, USA
- AwardsBest Paper Honorable Mention for “Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention” by Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian Lane, and Xiaobing Liu. The 2018 International Symposium on Wearable Computers (ISWC), Singapore, October 2018.
- Distinguished Senior Program Committee Member, International Joint Conference on Artificial Intelligence (IJCAI, Stockholm, Sweden, ), July 2018.
- Best Paper Award for "Differential adaptive stress testing of airborne collision avoidance systems" by Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Jeffrey Brush, and Mykel J. Kochenderfer. The 2018 AIAA Modeling and Simulation Technologies Conference, Kissimmee, Florida, USA, January 2018.
- Best Paper of Session Award for "Adaptive stress testing of airborne collision avoidance systems" by Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Guillaume P. Brat, and Michael P. Owen. The 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC), Prague, Czech Republic, September 2015.
- Best Paper Award for “Multi-focus and multi-window techniques for interactive network exploration” by Priya Krishnan Sundararajan, Ole J. Mengshoel, and Ted Selker. Conference on Visualization and Data Analysis 2013, Burlingame, California, USA, February 2013.
- NASA Group Achievement Award: “Team Name: OSMA Software Assurance Research Program (SARP)” NASA, July 2012.
- Winner of Second Int`l Diagnostics Competition (DXC-10), Industrial Track, Problem II. International Workshop on Principles of Diagnosis, October 2010.
- Second SIGART/AAAI Doctoral Consortium, AAAI-97 at Providence, RI, July 1997.
See my publications at:
https://works.bepress.com/ole_mengshoel/
https://scholar.google.com/citations?user=M6Jzt2UAAAAJ&hl=en
Publications
2025
-
Jørgensen, Tollef Emil;
Mengshoel, Ole Jakob.
(2025)
Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings.
International Conference on Computational Linguistics (ICCL) (COLING)
Academic article
-
Masson, Corentin;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2025)
Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning.
Springer
Academic chapter/article/Conference paper
2024
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Langseth, Helge;
Ramampiaro, Heri;
Bach, Kerstin.
(2024)
Improving Labour Inspection Efficiency via Machine Learning.
NTNU
Doctoral dissertation
-
Mengshoel, Ole Jakob;
Elster, Anne C.;
Fagervik, Jørgen Aleksander.
(2024)
Efficient Processing of Distributed Acoustic Sensing Data: Anomaly Detection using Autoencoders.
NTNU Open
Masters thesis
-
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2024)
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Chen, Jianpeng;
Wang, Yujing;
Zeng, Ming;
Xiang, Zongyi;
Hou, Bitan;
Tong, Yunhai.
(2024)
Customizing graph neural networks using path reweighting.
Information Sciences
Academic article
-
Sánchez-Diaz, Xavier F. C.;
Masson, Corentin Antoine François;
Mengshoel, Ole Jakob.
(2024)
Regularized Feature Selection Landscapes: An Empirical Study of Multimodality.
Springer
Academic chapter/article/Conference paper
2023
-
Sánchez Diaz, Xavier Fernando Cuauhtémoc;
Mengshoel, Ole Jakob.
(2023)
Evolutionary Computation with Islands: Extending EvoLP.jl for Parallel Computing.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Van De Weijer, Erling;
Owren, Odd André;
Mengshoel, Ole Jakob.
(2023)
Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Venkatachalam, Shanmuga;
Nair, Harideep;
Zeng, Ming;
Tan, Cathy Shunwen;
Mengshoel, Ole Jakob;
Shen, John Paul.
(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).
Frontiers in Big Data
Errata
-
Sánchez-Diaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
EvoLP.jl: A Playground for Evolutionary Computation in Julia.
CEUR Workshop Proceedings
Academic article
-
Schjølberg, Magnus Eide;
Bekkevold, Nicklas Paus;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Foss, Fredrik;
Sánchez-Díaz, Xavier F. C..
(2023)
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob.
(2023)
Potential applications of deep learning in automatic rock joint trace mapping in a rock mass.
IOP Conference Series: Earth and Environmental Science (EES)
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Theisen, Ole Magnus;
Bach, Kerstin.
(2023)
Creating Explainable Dynamic Checklists via Machine
Learning to Ensure Decent Working Environment for
All: A Field Study with Labour Inspections.
IOS Press
Academic chapter/article/Conference paper
2022
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob.
(2022)
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments .
Advances in Neural Information Processing Systems
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2022)
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
IJCAI International Joint Conference on Artificial Intelligence
Academic article
-
Basak, Aniruddha;
Schmidt, Kevin M.;
Mengshoel, Ole Jakob.
(2022)
From data to interpretable models: machine learning for soil moisture forecasting.
International Journal of Data Science and Analytics (JDSA)
Academic article
-
Hjelmeland, Hanna Waage;
Eriksen, Bjørn-Olav Holtung;
Mengshoel, Ole Jakob;
Lekkas, Anastasios M..
(2022)
Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing.
IFAC-PapersOnLine
Academic article
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Yu, Tong;
Riege, Jon.
(2022)
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
2021
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Riege, Jon;
Yu, Tong.
(2021)
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2021)
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
Springer
Academic chapter/article/Conference paper
-
Burak, Jan Jakub;
Mengshoel, Ole Jakob.
(2021)
A Multi-Objective Genetic Algorithm for Jacket Optimization.
ACM Publications
Academic chapter/article/Conference paper
-
Foss, Fredrik;
Mengshoel, Ole Jakob.
(2021)
A Multimethod Approach to Multimodal Function Optimization.
ACM Publications
Academic chapter/article/Conference paper
-
Skjærseth, Eirik Høgdahl;
Vinje, Harald;
Mengshoel, Ole Jakob.
(2021)
Novelty Search for Evolving Interesting Character Mechanics for a Two-Player Video Game.
ACM Publications
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Yu, Tong;
Riege, Jon;
Flogard, Eirik Lund.
(2021)
Stochastic Local Search for Efficient Hybrid Feature Selection.
ACM Publications
Academic chapter/article/Conference paper
2020
-
Mengshoel, Ole Jakob;
Yu, Tong;
Zeng, Ming.
(2020)
Stochastic local search and machine learning: From theory to applications and vice versa.
Frontiers in Artificial Intelligence and Applications
Abstract
-
Lee, Ritchie;
Mengshoel, Ole Jakob;
Saksena, Anshu;
Gardner, Ryan;
Genin, Daniel;
Silbermann, Joshua.
(2020)
Adaptive stress testing: Finding likely failure events with reinforcement learning.
The journal of artificial intelligence research
Academic article
2019
-
Lee, Ritchie;
Puig-Navarro, Javier;
Agogino, Adrian K.;
Giannakoupoulou, Dimitra;
Mengshoel, Ole Jakob;
Kochenderfer, Mykel J..
(2019)
Adaptive Stress Testing of Trajectory Planning Systems.
American Institute of Aeronautics and Astronautics (AIAA)
Chapter
2018
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Yu, Tong;
Pan, Shijia;
Xu, Susu;
Chen, Xinlei;
Mirshekari, Mostafa.
(2018)
ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data.
AAAI Press
Chapter
-
Galán, Severino F.;
Mengshoel, Ole Jakob.
(2018)
Neighborhood beautification: Graph layout through message passing.
Journal of Visual Languages and Computing
Academic article
-
Mengshoel, Ole Jakob;
Fang, Zhou;
Luo, Mulong;
Srivastava, Mani B.;
Gupta, Rajesh K..
(2018)
Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Springer
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Zeng, Ming;
Yu, Tong;
Quin, Helen;
Lee, Chris;
Shen, John Paul.
(2018)
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
2017
-
Pan, Shijia;
Yu, Tong;
Mirshekari, Mostafa;
Fagert, Jonathon;
Bonde, Amelie;
Mengshoel, Ole Jakob.
(2017)
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Academic article
2015
-
Schumann M, Johan;
Rozier, Kristin Y;
Reinbacher, Thomas;
Mengshoel, Ole Jakob;
Mbaya, Timmy;
Ippolito, Corey.
(2015)
Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems.
International Journal of Prognostics and Health Management
Academic article
2014
-
Ricks, Brian;
Mengshoel, Ole Jakob.
(2014)
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
International Journal of Approximate Reasoning
Academic article
-
Mengshoel, Ole Jakob;
Galán, Severino F.;
de Dios, Antonio.
(2014)
Adaptive generalized crowding for genetic algorithms.
Information Sciences
Academic article
2013
-
Galán, Severino F.;
Mengshoel, Ole Jakob;
Pinter, Rafael.
(2013)
A Novel Mating Approach for Genetic Algorithms.
Evolutionary Computation
Academic article
-
Schumann, Johann;
Mbaya, Timmy;
Mengshoel, Ole Jakob;
Pipatsrisawat, Knot;
Srivastava, Ashok;
Choi, Arthur.
(2013)
Software health management with Bayesian networks.
Innovations in Systems and Software Engineering
Academic article
Journal publications
-
Jørgensen, Tollef Emil;
Mengshoel, Ole Jakob.
(2025)
Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings.
International Conference on Computational Linguistics (ICCL) (COLING)
Academic article
-
Chen, Jianpeng;
Wang, Yujing;
Zeng, Ming;
Xiang, Zongyi;
Hou, Bitan;
Tong, Yunhai.
(2024)
Customizing graph neural networks using path reweighting.
Information Sciences
Academic article
-
Sánchez Diaz, Xavier Fernando Cuauhtémoc;
Mengshoel, Ole Jakob.
(2023)
Evolutionary Computation with Islands: Extending EvoLP.jl for Parallel Computing.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Van De Weijer, Erling;
Owren, Odd André;
Mengshoel, Ole Jakob.
(2023)
Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Venkatachalam, Shanmuga;
Nair, Harideep;
Zeng, Ming;
Tan, Cathy Shunwen;
Mengshoel, Ole Jakob;
Shen, John Paul.
(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).
Frontiers in Big Data
Errata
-
Sánchez-Diaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
EvoLP.jl: A Playground for Evolutionary Computation in Julia.
CEUR Workshop Proceedings
Academic article
-
Chiu, Jessica Ka Yi;
Li, Charlie Chunlin;
Mengshoel, Ole Jakob.
(2023)
Potential applications of deep learning in automatic rock joint trace mapping in a rock mass.
IOP Conference Series: Earth and Environmental Science (EES)
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob.
(2022)
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments .
Advances in Neural Information Processing Systems
Academic article
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2022)
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
IJCAI International Joint Conference on Artificial Intelligence
Academic article
-
Basak, Aniruddha;
Schmidt, Kevin M.;
Mengshoel, Ole Jakob.
(2022)
From data to interpretable models: machine learning for soil moisture forecasting.
International Journal of Data Science and Analytics (JDSA)
Academic article
-
Hjelmeland, Hanna Waage;
Eriksen, Bjørn-Olav Holtung;
Mengshoel, Ole Jakob;
Lekkas, Anastasios M..
(2022)
Identification of Failure Modes in the Collision Avoidance System of an Autonomous Ferry using Adaptive Stress Testing.
IFAC-PapersOnLine
Academic article
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Riege, Jon;
Yu, Tong.
(2021)
Stochastic Local Search Heuristics for Efficient Feature Selection: An Experimental Study.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Mengshoel, Ole Jakob;
Yu, Tong;
Zeng, Ming.
(2020)
Stochastic local search and machine learning: From theory to applications and vice versa.
Frontiers in Artificial Intelligence and Applications
Abstract
-
Lee, Ritchie;
Mengshoel, Ole Jakob;
Saksena, Anshu;
Gardner, Ryan;
Genin, Daniel;
Silbermann, Joshua.
(2020)
Adaptive stress testing: Finding likely failure events with reinforcement learning.
The journal of artificial intelligence research
Academic article
-
Galán, Severino F.;
Mengshoel, Ole Jakob.
(2018)
Neighborhood beautification: Graph layout through message passing.
Journal of Visual Languages and Computing
Academic article
-
Pan, Shijia;
Yu, Tong;
Mirshekari, Mostafa;
Fagert, Jonathon;
Bonde, Amelie;
Mengshoel, Ole Jakob.
(2017)
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Academic article
-
Schumann M, Johan;
Rozier, Kristin Y;
Reinbacher, Thomas;
Mengshoel, Ole Jakob;
Mbaya, Timmy;
Ippolito, Corey.
(2015)
Towards Real-time, On-board, Hardware-supported Sensor and Software Health Management for Unmanned Aerial Systems.
International Journal of Prognostics and Health Management
Academic article
-
Ricks, Brian;
Mengshoel, Ole Jakob.
(2014)
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
International Journal of Approximate Reasoning
Academic article
-
Mengshoel, Ole Jakob;
Galán, Severino F.;
de Dios, Antonio.
(2014)
Adaptive generalized crowding for genetic algorithms.
Information Sciences
Academic article
-
Galán, Severino F.;
Mengshoel, Ole Jakob;
Pinter, Rafael.
(2013)
A Novel Mating Approach for Genetic Algorithms.
Evolutionary Computation
Academic article
-
Schumann, Johann;
Mbaya, Timmy;
Mengshoel, Ole Jakob;
Pipatsrisawat, Knot;
Srivastava, Ashok;
Choi, Arthur.
(2013)
Software health management with Bayesian networks.
Innovations in Systems and Software Engineering
Academic article
Part of book/report
-
Masson, Corentin;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2025)
Visualizing Pseudo-Boolean Functions: Feature Selection and Regularization for Machine Learning.
Springer
Academic chapter/article/Conference paper
-
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2024)
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Sánchez-Diaz, Xavier F. C.;
Masson, Corentin Antoine François;
Mengshoel, Ole Jakob.
(2024)
Regularized Feature Selection Landscapes: An Empirical Study of Multimodality.
Springer
Academic chapter/article/Conference paper
-
Schjølberg, Magnus Eide;
Bekkevold, Nicklas Paus;
Sánchez-Díaz, Xavier F. C.;
Mengshoel, Ole Jakob.
(2023)
Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Foss, Fredrik;
Sánchez-Díaz, Xavier F. C..
(2023)
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Theisen, Ole Magnus;
Bach, Kerstin.
(2023)
Creating Explainable Dynamic Checklists via Machine
Learning to Ensure Decent Working Environment for
All: A Field Study with Labour Inspections.
IOS Press
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Flogard, Eirik Lund;
Yu, Tong;
Riege, Jon.
(2022)
Understanding the Cost of Fitness Evaluation for Subset Selection: Markov Chain Analysis of Stochastic Local Search.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Bach, Kerstin.
(2021)
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists.
Springer
Academic chapter/article/Conference paper
-
Burak, Jan Jakub;
Mengshoel, Ole Jakob.
(2021)
A Multi-Objective Genetic Algorithm for Jacket Optimization.
ACM Publications
Academic chapter/article/Conference paper
-
Foss, Fredrik;
Mengshoel, Ole Jakob.
(2021)
A Multimethod Approach to Multimodal Function Optimization.
ACM Publications
Academic chapter/article/Conference paper
-
Skjærseth, Eirik Høgdahl;
Vinje, Harald;
Mengshoel, Ole Jakob.
(2021)
Novelty Search for Evolving Interesting Character Mechanics for a Two-Player Video Game.
ACM Publications
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Yu, Tong;
Riege, Jon;
Flogard, Eirik Lund.
(2021)
Stochastic Local Search for Efficient Hybrid Feature Selection.
ACM Publications
Academic chapter/article/Conference paper
-
Lee, Ritchie;
Puig-Navarro, Javier;
Agogino, Adrian K.;
Giannakoupoulou, Dimitra;
Mengshoel, Ole Jakob;
Kochenderfer, Mykel J..
(2019)
Adaptive Stress Testing of Trajectory Planning Systems.
American Institute of Aeronautics and Astronautics (AIAA)
Chapter
-
Zeng, Ming;
Gao, Haoxiang;
Yu, Tong;
Mengshoel, Ole Jakob;
Langseth, Helge;
Lane, Ian.
(2018)
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Yu, Tong;
Pan, Shijia;
Xu, Susu;
Chen, Xinlei;
Mirshekari, Mostafa.
(2018)
ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data.
AAAI Press
Chapter
-
Mengshoel, Ole Jakob;
Fang, Zhou;
Luo, Mulong;
Srivastava, Mani B.;
Gupta, Rajesh K..
(2018)
Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Springer
Academic chapter/article/Conference paper
-
Mengshoel, Ole Jakob;
Zeng, Ming;
Yu, Tong;
Quin, Helen;
Lee, Chris;
Shen, John Paul.
(2018)
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Association for Computing Machinery (ACM)
Academic chapter/article/Conference paper
Report
-
Flogard, Eirik Lund;
Mengshoel, Ole Jakob;
Langseth, Helge;
Ramampiaro, Heri;
Bach, Kerstin.
(2024)
Improving Labour Inspection Efficiency via Machine Learning.
NTNU
Doctoral dissertation
-
Mengshoel, Ole Jakob;
Elster, Anne C.;
Fagervik, Jørgen Aleksander.
(2024)
Efficient Processing of Distributed Acoustic Sensing Data: Anomaly Detection using Autoencoders.
NTNU Open
Masters thesis
Teaching
Courses
Outreach
2019
-
Academic lectureNagi, Imre; Yin, Darren; Yousafzai, Ali; Tzannetos, Dimitrios; Mengshoel, Ole Jakob; Martin, Rodney. (2019) Exploring Gaussian Process Regression and Unscented Kalman Filtering for Lithium-ion Battery Prognostics. American Institute of Aeronautics and Astronautics AIAA Scitech 2019 Forum , San Diego 2019-01-07 - 2019-01-11
-
Academic lectureYu, Tong; Mengshoel, Ole Jakob; Meroux, Dominique; Jiang, Zhen. (2019) Machine Learning with Decision Trees and Multi-Armed Bandits: An Interactive Vehicle Recommender System. SAE International WCX SAE World Congress Experience , Detroit 2019-04-09 - 2019-04-11
-
Academic lectureLee, Ritchie; Puig-Navarro, Javier; Agogino, Adrian K.; Giannakoupoulou, Dimitra; Mengshoel, Ole Jakob; Kochenderfer, Mykel J.. (2019) Adaptive Stress Testing of Trajectory Planning Systems. American Institute of Aeronautics and Astronautics AIAA Scitech 2019 Forum , San Diego 2019-01-07 - 2019-01-11
2018
-
Academic lectureZeng, Ming; Gao, Haoxiang; Yu, Tong; Mengshoel, Ole Jakob; Langseth, Helge; Lane, Ian. (2018) Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. ACM 2018 ACM International Symposium on Wearable Computers , Singapore 2018-10-08 - 2018-10-12
-
Academic lectureMengshoel, Ole Jakob; Yu, Tong; Lane, Ian; Liu, Bing. (2018) Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. AAAI-18, Thirty-Second AAAI Conference on Artificial Intelligence , New Orleans 2018-02-02 - 2018-02-07
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Popular scientific lectureØien, Geir Egil Dahle; Mengshoel, Ole Jakob; Ramampiaro, Heri; Svendsen, Torbjørn Karl. (2018) NTNUs strategiske satsing på kunstig intelligens (AI) – bakgrunn, aktiviteter og fremtidsvyer. Det Kongelige Norske Vitenskapers Selskap Medlemsmøte, Det Kongelige Norske Vitenskapers Selskap , Trondheim 2018-11-12 - 2018-11-12
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Academic lectureMengshoel, Ole Jakob; Yu, Tong; Pan, Shijia; Xu, Susu; Chen, Xinlei; Mirshekari, Mostafa. (2018) ILPC: Iterative Learning using Physical Constraints in Real-World Sensing Data. AAAI Workshops, AAAI Conference on Artificial Intelligence 2018 , New Orleans 2018-02-02 - 2018-02-07
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Academic lectureMengshoel, Ole Jakob; Leng, Hongkun; De La Cruz Paulino, Caleb; Haider, Momina; Lu, Rui; Zhou, Zhenhui. (2018) Finding Similar Movies: Dataset, Tools, and Methods. HCI-Europe 2018, International Conferences in Central Europe on Human Computer Interaction (2018) , Plzen 2018-05-28 - 2018-06-01