Ole J. Mengshoel
Orcid: 0000-0003-2666-5310
According to our database1,
Ole J. Mengshoel
authored at least 119 papers
between 1991 and 2024.
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Bibliography
2024
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks.
Frontiers Big Data, 2024
Green Urban Mobility with Autonomous Electric Ferries: Studies of Simulated Maritime Collisions using Adaptive Stress Testing.
Proceedings of the 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, 2024
Detecting and Segmenting Solar Farms in Satellite Imagery: A Study of Deep Neural Network Architectures.
Proceedings of the 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, 2024
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
Int. J. Data Sci. Anal., January, 2023
Proceedings of the 5th Symposium of the Norwegian AI Society, 2023
Proceedings of the 5th Symposium of the Norwegian AI Society, 2023
Comparing Metaheuristic Optimization Algorithms for Ambulance Allocation: An Experimental Simulation Study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Controlling Hybrid Evolutionary Algorithms in Subset Selection for Multimodal Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
SemNet: Learning semantic attributes for human activity recognition with deep belief networks.
Frontiers Big Data, 2022
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
2021
Image Captioning using Deep Learning: Text Augmentation by Paraphrasing via Backtranslation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Case-Based Reasoning Research and Development, 2021
Novelty search for evolving interesting character mechanics for a two-player video game.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
J. Artif. Intell. Res., 2020
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems.
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application.
CoRR, 2019
AttriNet: learning mid-level features for human activity recognition with deep belief networks.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
2018
J. Vis. Lang. Comput., 2018
CoRR, 2018
CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences.
CoRR, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018
Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Understanding and improving recurrent networks for human activity recognition by continuous attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
Proceedings of the Cloud Computing - CLOUD 2018, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Towards continuous and passive authentication across mobile devices: an empirical study.
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Optimizing the decomposition of time series using evolutionary algorithms: soil moisture analytics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the Self-Aware Computing Systems., 2017
Proceedings of the Self-Aware Computing Systems., 2017
Proceedings of the Self-Aware Computing Systems., 2017
2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices.
Proceedings of the 8th EAI International Conference on Mobile Computing, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the AI for Smart Grids and Smart Buildings, 2016
Proceedings of the AI for Smart Grids and Smart Buildings, 2016
2015
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015
2014
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
Int. J. Approx. Reason., 2014
Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the 6th International Conference on Mobile Computing, 2014
Proceedings of the 6th International Conference on Mobile Computing, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2014
Detection of Myocardial Perfusion Defects Using First Pass Perfusion Cardiac MRI Data.
Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2014
2013
Proceedings of the Visualization and Data Analysis 2013, 2013
Multi-focus and multi-level techniques for visualization and analysis of networks with thematic data.
Proceedings of the Visualization and Data Analysis 2013, 2013
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 8th International Workshop on Feedback Computing, 2013
Proceedings of the 8th International Workshop on Feedback Computing, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012
Proceedings of the 1st International Workshop on Big Data, 2012
2011
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks.
IEEE Trans. Knowl. Data Eng., 2011
Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks.
J. Autom. Reason., 2011
Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization.
Proceedings of the UAI 2011, 2011
Proceedings of the Scalable Integration of Analytics and Visualization, 2011
Proceedings of the Scalable Integration of Analytics and Visualization, 2011
2010
IEEE Trans. Syst. Man Cybern. Part A, 2010
Understanding the scalability of Bayesian network inference using clique tree growth curves.
Artif. Intell., 2010
Proceedings of the Workshop on Future of Software Engineering Research, 2010
Who Guards the Guardians? - Toward V&V of Health Management Software - (Short Paper).
Proceedings of the Runtime Verification - First International Conference, 2010
Proceedings of the Mobile Computing, Applications, and Services, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
2009
Constraint Handling Using Tournament Selection: Abductive Inference in Partly Deterministic Bayesian Networks.
Evol. Comput., 2009
2008
Understanding the role of noise in stochastic local search: Analysis and experiments.
Artif. Intell., 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering.
Artif. Intell., 2006
2003
Information filtering using bayesian networks: effective user interfaces for aviation weather data.
Proceedings of the 8th International Conference on Intelligent User Interfaces, 2003
2000
CoRaven: model-based design of a cognitive tool for real-time intelligence monitoring and analysis.
Proceedings of the IEEE International Conference on Systems, 2000
1999
Efficient Bayesian Network Inference: Genetic Algorithms, Stochastic Local Search, and Abstraction
PhD thesis, 1999
1998
CoRAVEN: modeling and design of a multimedia intelligent infrastructure for collaborative intelligence analysis.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998
1997
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997
1996
Artif. Intell. Eng. Des. Anal. Manuf., 1996
Multimedia Instructional Software for Visual Reasoning: Visual Reasoning Tutor (VRT).
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1996
ReCognition and Critiquing of Erroneous Agent Actions.
Proceedings of the Agent Modeling, Papers from the 1996 AAAI Workshop, 1996
1995
A reformulation technique and tool for knowledge interchange during knowledge acquisition.
Int. J. Hum. Comput. Stud., 1995
1993
Proceedings of the Knowledge Acquisition for Knowledge-Based Systems, 1993
1991
KVAT: A Tool for Incremental Knowledge Validation in a Knowledge Engineering Workbench.
Proceedings of the European Workshop on the Verification and Validation of Knowledge-Based Systems, 1991