Ole J. Mengshoel

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 43

Top Topics

Genetic Algorithm

Belief Networks

Top Venues

Publications

Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Bitan Hou, Tong Yu, Ole J. Mengshoel, Yazhou Ren
Customizing graph neural networks using path reweighting. Inf. Sci. 674 (2024)
Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Tan, Ole J. Mengshoel, John Paul Shen
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks. Frontiers Big Data 6 (2024)
Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Tan, Ole J. Mengshoel, John Paul Shen
SemNet: Learning semantic attributes for human activity recognition with deep belief networks. Frontiers Big Data 5 (2022)
Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. J. Artif. Intell. Res. 69 (2020)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR (2020)
Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML (2020)
Bitan Hou, Yujing Wang, Ming Zeng, Shan Jiang, Ole J. Mengshoel, Yunhai Tong, Jing Bai
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application. CoRR (2019)
Harideep Nair, Cathy Tan, Ming Zeng, Ole J. Mengshoel, John Paul Shen
AttriNet: learning mid-level features for human activity recognition with deep belief networks. UbiComp/ISWC Adjunct (2019)
Aniruddha Basak, Kamalika Das, Ole J. Mengshoel
CADDeLaG: Framework for distributed anomaly detection in large dense graph sequences. CoRR (2018)
Anshu Rajendra, Ritwik Rajendra, Ole J. Mengshoel, Ming Zeng, Momina Haider
Captioning with Language-Based Attention. DSAA (2018)
Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition. CoRR (2018)
Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta
Mitigating Multi-tenant Interference in Continuous Mobile Offloading. CLOUD (2018)
Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann
Interpretable Categorization of Heterogeneous Time Series Data. SDM (2018)
Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. CoRR (2018)
Severino F. Galán, Ole J. Mengshoel
Neighborhood beautification: Graph layout through message passing. J. Vis. Lang. Comput. 44 (2018)
Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu
Understanding and improving recurrent networks for human activity recognition by continuous attention. UbiComp (2018)
Ole J. Mengshoel, Priya Krishnan Sundararajan, Erik Reed, Dongzhen Piao, Briana Johnson
Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation. DARE@PKDD/ECML (2018)
Ming Zeng, Tong Yu, Ole J. Mengshoel, Helen Qin, Chris Lee, John Paul Shen
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition. UbiComp/ISWC Adjunct (2018)
Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. AAAI (2018)
Aniruddha Basak, Ole J. Mengshoel, Kevin Schmidt, Chinmay Kulkarni
Wetting and Drying of Soil: From Data to Understandable Models for Prediction. DSAA (2018)
Tong Yu, Branislav Kveton, Zheng Wen, Hung Hai Bui, Ole J. Mengshoel
\mathttSpectralLeader : Online Spectral Learning for Single Topic Models. ECML/PKDD (2) (2018)
Xiaoyi Fu, Xinqi Ren, Ole J. Mengshoel, Xindong Wu
Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph. ICBK (2018)
Tong Yu, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Hae Young Noh, Pei Zhang, Ole J. Mengshoel
ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. AAAI Workshops (2018)
Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. CoRR (2018)
Aniruddha Basak, Ole J. Mengshoel, Chinmay Kulkarni, Kevin Schmidt, Prathi Shastry, Rao Rapeta
Optimizing the decomposition of time series using evolutionary algorithms: soil moisture analytics. GECCO (2017)
Charlie Wang, Arpita Agrawal, Xiaojun Li, Tanima Makkad, Ejaz Veljee, Ole J. Mengshoel, Alvin Jude
Content-based top-N recommendations with perceived similarity. SMC (2017)
Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. CoRR (2017)
Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane
Semi-supervised convolutional neural networks for human activity recognition. IEEE BigData (2017)
Tong Yu, Branislav Kveton, Ole J. Mengshoel
Thompson Sampling for Optimizing Stochastic Local Search. ECML/PKDD (1) (2017)
Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta
Mitigating multi-tenant interference on mobile offloading servers: poster abstract. SoCC (2017)
Shijia Pan, Tong Yu, Mostafa Mirshekari, Jonathon Fagert, Amelie Bonde, Ole J. Mengshoel, Hae Young Noh, Pei Zhang
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (3) (2017)
Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann
Interpretable Categorization of Heterogeneous Time Series Data. CoRR (2017)
Tong Yu, Branislav Kveton, Zheng Wen, Hung Hai Bui, Ole J. Mengshoel
SpectralFPL: Online Spectral Learning for Single Topic Models. CoRR (2017)
Zhou Fang, Tong Yu, Ole J. Mengshoel, Rajesh K. Gupta
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks. CIKM (2017)
Xiao Wang, Tong Yu, Ole J. Mengshoel, Patrick Tague
Towards continuous and passive authentication across mobile devices: an empirical study. WISEC (2017)
Alexandru Iosup, Xiaoyun Zhu, Arif Merchant, Eva Kalyvianaki, Martina Maggio, Simon Spinner, Tarek F. Abdelzaher, Ole J. Mengshoel, Sara Bouchenak
Self-Awareness of Cloud Applications. CoRR (2016)
Priya Krishnan Sundararajan, Ole J. Mengshoel
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization. Probabilistic Graphical Models (2016)
Tong Yu, Yong Zhuang, Ole J. Mengshoel, Osman Yagan
Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices. MobiCASE (2016)
Ole J. Mengshoel, Youssef Ahres, Tong Yu
Markov Chain Analysis of Noise and Restart in Stochastic Local Search. IJCAI (2016)
Aniruddha Basak, Ole J. Mengshoel, Stefan Hosein, Rodney Martin, Jayasudha Jayakumaran, Mario Gurrola Morga, Ishwari Aghav
Identifying Contributing Factors of Occupant Thermal Discomfort in a Smart Building. AAAI Workshop: AI for Smart Grids and Smart Buildings (2016)
Aniruddha Basak, Ole J. Mengshoel, Stefan Hosein, Rodney Martin
Scalable Causal Learning for Predicting Adverse Events in Smart Buildings. AAAI Workshop: AI for Smart Grids and Smart Buildings (2016)
Dipan K. Pal, Ole J. Mengshoel
Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery. ECML/PKDD (1) (2016)
Tong Yu, Ole J. Mengshoel, Alvin Jude, Eugen Feller, Julien Forgeat, Nimish Radia
Incremental learning for matrix factorization in recommender systems. IEEE BigData (2016)
Priya Krishnan Sundararajan, Eugen Feller, Julien Forgeat, Ole J. Mengshoel
A Constrained Genetic Algorithm for Rebalancing of Services in Cloud Data Centers. CLOUD (2015)
Ming Zeng, Le T. Nguyen, Bo Yu, Ole J. Mengshoel, Jiang Zhu, Pang Wu, Joy Zhang
Convolutional Neural Networks for human activity recognition using mobile sensors. MobiCASE (2014)
Ming Zeng, Xiao Wang, Le T. Nguyen, Pang Wu, Ole J. Mengshoel, Joy Zhang
Adaptive activity recognition with dynamic heterogeneous sensor fusion. MobiCASE (2014)
Dongzhen Piao, Prahlad G. Menon, Ole J. Mengshoel
Computing Probabilistic Optical Flow Using Markov Random Fields. CompIMAGE (2014)
Stephen Kruzick, Ole J. Mengshoel, Prahlad G. Menon
Detection of Myocardial Perfusion Defects Using First Pass Perfusion Cardiac MRI Data. CompIMAGE (2014)
Eric Y. Chen, Lin-Shung Huang, Ole J. Mengshoel, Jason D. Lohn
Darwin: a ground truth agnostic CAPTCHA generator using evolutionary algorithm. GECCO (Companion) (2014)
Brian Ricks, Ole J. Mengshoel
Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits. Int. J. Approx. Reason. 55 (5) (2014)
Ole J. Mengshoel, Severino F. Galán, Antonio de Dios
Adaptive generalized crowding for genetic algorithms. Inf. Sci. 258 (2014)
Jun Shi, Ole J. Mengshoel, Dipan K. Pal
Feedback control for multi-modal optimization using genetic algorithms. GECCO (2014)
Erik Reed, Ole J. Mengshoel
Bayesian Network Parameter Learning using EM with Parameter Sharing. BMA@UAI (2014)
Priya Krishnan Sundararajan, Ole J. Mengshoel, Ted Selker
Multi-focus and multi-window techniques for interactive network exploration. Visualization and Data Analysis (2013)
Feng-Tso Sun, Yi-Ting Yeh, Ole J. Mengshoel, Martin L. Griss
Latent Topic Analysis for Predicting Group Purchasing Behavior on the Social Web. UAI Application Workshops (2013)
Michele Cossalter, Ole J. Mengshoel, Ted Selker
Multi-focus and multi-level techniques for visualization and analysis of networks with thematic data. Visualization and Data Analysis (2013)
Severino F. Galán, Ole J. Mengshoel, Rafael Pinter
A Novel Mating Approach for Genetic Algorithms. Evol. Comput. 21 (2) (2013)
Erik Reed, Abe Ishihara, Ole J. Mengshoel
Adaptive Control of Apache Web Server. Feedback Computing (2013)
Lu Zheng, Ole J. Mengshoel
Optimizing parallel belief propagation in junction treesusing regression. KDD (2013)
Ole J. Mengshoel, Bob Iannucci, Abe Ishihara
Mobile Computing: Challenges and Opportunities for Autonomy and Feedback. Feedback Computing (2013)
Johann Schumann, Timmy Mbaya, Ole J. Mengshoel, Knot Pipatsrisawat, Ashok N. Srivastava, Arthur Choi, Adnan Darwiche
Software health management with Bayesian networks. Innov. Syst. Softw. Eng. 9 (4) (2013)
Lu Zheng, Ole J. Mengshoel
Exploring Multiple Dimensions of Parallelism in Junction Tree Message Passing. UAI Application Workshops (2013)
Aniruddha Basak, Irina Brinster, Xianheng Ma, Ole J. Mengshoel
Accelerating Bayesian network parameter learning using Hadoop and MapReduce. BigMine (2012)
Avneesh Singh Saluja, Priya Krishnan Sundararajan, Ole J. Mengshoel
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks. AISTATS (2012)
Ole J. Mengshoel, Abe Ishihara, Erik Reed
Reactive Bayesian Network Computation using Feedback Control: An Empirical Study. BMA (2012)
Lu Zheng, Ole J. Mengshoel, Jike Chong
Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization CoRR (2012)
Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy L. Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder P. Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams
Reports of the AAAI 2011 Conference Workshops. AI Mag. 33 (1) (2012)
Ole J. Mengshoel, David C. Wilkins, Dan Roth
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks. IEEE Trans. Knowl. Data Eng. 23 (2) (2011)
Priya Krishnan Sundararajan, Ole J. Mengshoel, Ted Selker
Multi-Fisheye for Interactive Visualization of Large Graphs. Scalable Integration of Analytics and Visualization (2011)
Michele Cossalter, Ole J. Mengshoel, Ted Selker
Visualizing and Understanding Large-Scale Bayesian Networks. Scalable Integration of Analytics and Visualization (2011)
Lu Zheng, Ole J. Mengshoel, Jike Chong
Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization. UAI (2011)
Ole J. Mengshoel, Dan Roth, David C. Wilkins
Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks. J. Autom. Reason. 46 (2) (2011)
Johann Schumann, Ole J. Mengshoel, Ashok N. Srivastava, Adnan Darwiche
Towards software health management with bayesian networks. FoSER (2010)
Ole J. Mengshoel
Understanding the scalability of Bayesian network inference using clique tree growth curves. Artif. Intell. 174 (12-13) (2010)
Severino F. Galán, Ole J. Mengshoel
Generalized crowding for genetic algorithms. GECCO (2010)
Johann Schumann, Ashok N. Srivastava, Ole J. Mengshoel
Who Guards the Guardians? - Toward V&V of Health Management Software - (Short Paper). RV (2010)
Bruce DeBruhl, Michele Cossalter, Roy Want, Ole J. Mengshoel, Pei Zhang
Inferring Complex Human Behavior Using a Non-obtrusive Mobile Sensing Platform. MobiCASE (2010)
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scott Poll, Adnan Darwiche, N. Serdar Uckun
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study. IEEE Trans. Syst. Man Cybern. Part A 40 (5) (2010)
Severino F. Galán, Ole J. Mengshoel
Constraint Handling Using Tournament Selection: Abductive Inference in Partly Deterministic Bayesian Networks. Evol. Comput. 17 (1) (2009)
Ole J. Mengshoel, Adnan Darwiche, Keith Cascio, Mark Chavira, Scott Poll, N. Serdar Uckun
Diagnosing Faults in Electrical Power Systems of Spacecraft and Aircraft. AAAI (2008)
Ole J. Mengshoel
Understanding the role of noise in stochastic local search: Analysis and experiments. Artif. Intell. 172 (8-9) (2008)
Ole J. Mengshoel, David E. Goldberg
The Crowding Approach to Niching in Genetic Algorithms. Evol. Comput. 16 (3) (2008)
Ole J. Mengshoel
Macroscopic Models of Clique Tree Growth for Bayesian Networks. AAAI (2007)
Ole J. Mengshoel, David C. Wilkins, Dan Roth
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. Artif. Intell. 170 (16-17) (2006)
Corinne Clinton Ruokangas, Ole J. Mengshoel
Information filtering using bayesian networks: effective user interfaces for aviation weather data. IUI (2003)
Caroline C. Hayes, Robin R. Penner, Hakan Ergan, Li Lu, Nan Tu, Patricia M. Jones, Peter Asaro, Robin Bargar, Oleksandr Chernyshenko, Insook Choi, Nora Danner, Ole J. Mengshoel, Janet A. Sniezek, David C. Wilkins
CoRaven: model-based design of a cognitive tool for real-time intelligence monitoring and analysis. SMC (2000)
Patricia M. Jones, Caroline C. Hayes, David C. Wilkins, Robin Bargar, Janet A. Sniezek, Peter Asaro, Ole J. Mengshoel, D. Kessler, Martin J. Lucenti Jr., Insook Choi, Nan Tu, J. L. Schlabach
CoRAVEN: modeling and design of a multimedia intelligent infrastructure for collaborative intelligence analysis. SMC (1998)
Ole J. Mengshoel, David C. Wilkins
Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching. Evolutionary Programming (1998)
Carol Hubbard, Ole J. Mengshoel, Chris Moon, Yong Se Kim
Visual reasoning instructional software system. Comput. Educ. 28 (4) (1997)
Ole J. Mengshoel
Belief Network Inference in Dynamic Environments. AAAI/IAAI (1997)
Ole J. Mengshoel, Sanjeev Chauhan, Yong Se Kim
Intelligent critiquing and tutoring of spatial reasoning skills. Artif. Intell. Eng. Des. Anal. Manuf. 10 (3) (1996)
Carol Hubbard, Ole J. Mengshoel, Chris Moon, Yong Se Kim
Multimedia Instructional Software for Visual Reasoning: Visual Reasoning Tutor (VRT). ICMCS (1996)
Ole J. Mengshoel, David C. Wilkins
ReCognition and Critiquing of Erroneous Agent Actions. Agent Modeling (1996)
Ole J. Mengshoel
A reformulation technique and tool for knowledge interchange during knowledge acquisition. Int. J. Hum. Comput. Stud. 43 (2) (1995)
Ole J. Mengshoel
Knowledge Validation: Principles and Practice. IEEE Expert 8 (3) (1993)
Ole J. Mengshoel, Ingeborg Sølvberg
Acquisition and Modeling of Uncertain, Incomplete and Time-Varying Knowldege. EKAW (1993)
Ole J. Mengshoel
KVAT: A Tool for Incremental Knowledge Validation in a Knowledge Engineering Workbench. EUROVAV (1991)