Ole J. Mengshoel

According to our database1, Ole J. Mengshoel authored at least 89 papers between 1991 and 2018.

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Bibliography

2018
Neighborhood beautification: Graph layout through message passing.
J. Vis. Lang. Comput., 2018

Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning.
CoRR, 2018

Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention.
CoRR, 2018

CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences.
CoRR, 2018

Semi-Supervised Convolutional Neural Networks for Human Activity Recognition.
CoRR, 2018

Interpretable Categorization of Heterogeneous Time Series Data.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation.
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 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

Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data.
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.
IMWUT, 2017

Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
CoRR, 2017

SpectralFPL: Online Spectral Learning for Single Topic Models.
CoRR, 2017

Interpretable Categorization of Heterogeneous Time Series Data.
CoRR, 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

Content-based top-N recommendations with perceived similarity.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Thompson Sampling for Optimizing Stochastic Local Search.
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

Mitigating multi-tenant interference on mobile offloading servers: poster abstract.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Semi-supervised convolutional neural networks for human activity recognition.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Self-adaptation for Individual Self-aware Computing Systems.
Proceedings of the Self-Aware Computing Systems., 2017

Self-awareness of Cloud Applications.
Proceedings of the Self-Aware Computing Systems., 2017

Online Workload Forecasting.
Proceedings of the Self-Aware Computing Systems., 2017

Synthesis and Verification of Self-aware Computing Systems.
Proceedings of the Self-Aware Computing Systems., 2017

2016
Self-Awareness of Cloud Applications.
CoRR, 2016

Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery.
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

Markov Chain Analysis of Noise and Restart in Stochastic Local Search.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Incremental learning for matrix factorization in recommender systems.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Identifying Contributing Factors of Occupant Thermal Discomfort in a Smart Building.
Proceedings of the AI for Smart Grids and Smart Buildings, 2016

Scalable Causal Learning for Predicting Adverse Events in Smart Buildings.
Proceedings of the AI for Smart Grids and Smart Buildings, 2016

2015
A Constrained Genetic Algorithm for Rebalancing of Services in Cloud Data Centers.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Adaptive generalized crowding for genetic algorithms.
Inf. Sci., 2014

Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits.
Int. J. Approx. Reasoning, 2014

Bayesian Network Parameter Learning using EM with Parameter Sharing.
Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014

Adaptive activity recognition with dynamic heterogeneous sensor fusion.
Proceedings of the 6th International Conference on Mobile Computing, 2014

Convolutional Neural Networks for human activity recognition using mobile sensors.
Proceedings of the 6th International Conference on Mobile Computing, 2014

Feedback control for multi-modal optimization using genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Darwin: a ground truth agnostic CAPTCHA generator using evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Computing Probabilistic Optical Flow Using Markov Random Fields.
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
Software health management with Bayesian networks.
ISSE, 2013

A Novel Mating Approach for Genetic Algorithms.
Evolutionary Computation, 2013

Multi-focus and multi-window techniques for interactive network exploration.
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

Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing.
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013

Latent Topic Analysis for Predicting Group Purchasing Behavior on the Social Web.
Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013

Optimizing parallel belief propagation in junction treesusing regression.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Adaptive Control of Apache Web Server.
Proceedings of the 8th International Workshop on Feedback Computing, 2013

Mobile Computing: Challenges and Opportunities for Autonomy and Feedback.
Proceedings of the 8th International Workshop on Feedback Computing, 2013

2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization
CoRR, 2012

Reports of the AAAI 2011 Conference Workshops.
AI Magazine, 2012

Reactive Bayesian Network Computation using Feedback Control: An Empirical Study.
Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012

Accelerating Bayesian network parameter learning using Hadoop and MapReduce.
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. Reasoning, 2011

Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization.
Proceedings of the UAI 2011, 2011

Multi-Fisheye for Interactive Visualization of Large Graphs.
Proceedings of the Scalable Integration of Analytics and Visualization, 2011

Visualizing and Understanding Large-Scale Bayesian Networks.
Proceedings of the Scalable Integration of Analytics and Visualization, 2011

2010
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2010

Understanding the scalability of Bayesian network inference using clique tree growth curves.
Artif. Intell., 2010

Towards software health management with bayesian networks.
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

Inferring Complex Human Behavior Using a Non-obtrusive Mobile Sensing Platform.
Proceedings of the Mobile Computing, Applications, and Services, 2010

Generalized crowding for genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Constraint Handling Using Tournament Selection: Abductive Inference in Partly Deterministic Bayesian Networks.
Evolutionary Computation, 2009

2008
The Crowding Approach to Niching in Genetic Algorithms.
Evolutionary Computation, 2008

Understanding the role of noise in stochastic local search: Analysis and experiments.
Artif. Intell., 2008

Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Macroscopic Models of Clique Tree Growth for Bayesian Networks.
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

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

Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997
Visual reasoning instructional software system.
Computers & Education, 1997

Belief Network Inference in Dynamic Environments.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Intelligent critiquing and tutoring of spatial reasoning skills.
AI EDAM, 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
Knowledge Validation: Principles and Practice.
IEEE Expert, 1993

Acquisition and Modeling of Uncertain, Incomplete and Time-Varying Knowldege.
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


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