Daniel Nikovski
Orcid: 0000-0003-2919-645X
According to our database1,
Daniel Nikovski
authored at least 103 papers
between 1992 and 2023.
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Bibliography
2023
A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments.
IROS, 2023
Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the European Control Conference, 2023
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control.
Proceedings of the European Control Conference, 2023
Proceedings of the 9th International Conference on Control, 2023
Proceedings of the 14th International Conference on Ambient Systems, 2023
Proceedings of the 14th International Conference on Ambient Systems, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
2022
Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application.
IEEE Trans. Robotics, 2022
CoRR, 2022
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022
Proceedings of the IEEE International Smart Cities Conference, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the European Control Conference, 2022
Proceedings of the European Control Conference, 2022
2021
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation.
IEEE Robotics Autom. Lett., 2021
Distribution Fault Location Using Graph Neural Network with Both Node and Link Attributes.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models.
Proceedings of the 2021 European Control Conference, 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements.
IEEE Robotics Autom. Lett., 2020
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks.
CoRR, 2020
A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters.
CoRR, 2020
CVaR-constrained Stochastic Bidding Strategy for a Virtual Power Plant with Mobile Energy Storages.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution System.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Personalized Destination Prediction Using Transformers in a Contextless Data Setting.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
IEEE Trans. Smart Grid, 2019
Knowl. Inf. Syst., 2019
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control.
CoRR, 2019
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze.
Proceedings of the International Conference on Robotics and Automation, 2019
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019
Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models.
Proceedings of the 17th European Control Conference, 2019
2018
Proceedings of the 29th International Workshop on Principles of Diagnosis co-located with 10th IFAC Symposium on Fault Detection, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Three-level co-optimization model for generation scheduling of integrated energy and regulation market.
Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award).
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
2016
IEEE Trans. Smart Grid, 2016
Exemplar learning for extremely efficient anomaly detection in real-valued time series.
Data Min. Knowl. Discov., 2016
Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016
Mitigating substation demand fluctuations using decoupled price schemes for demand response.
Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016
Regularized covariance matrix estimation with high dimensional data for supervised anomaly detection problems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Learning to control partial differential equations: Regularized Fitted Q-Iteration approach.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
A generalized admittance based method for fault location analysis of distribution systems.
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015
Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015
Static voltage stability detection using local measurement for microgrids in a power distribution network.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
A framework for real-time near-optimal train run-curve computation with dynamic travel time and speed limits.
Proceedings of the American Control Conference, 2015
2014
Energy-efficient collision-free trajectory planning using Alternating Quadratic Programming.
Proceedings of the American Control Conference, 2014
2013
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
Estimating locations of single-phase-to-ground faults of ungrounded distribution systems.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013
Proceedings of the American Control Conference, 2013
2012
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012
Proceedings of the Enterprise Information Systems - 14th International Conference, 2012
Bayesian Networks for Matcher Composition in Automatic Schema Matching.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 1, Wroclaw, Poland, 28 June, 2012
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
2011
Construction of embedded Markov decision processes for optimal control of non-linear systems with continuous state spaces.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
2009
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
Semi-supervised Information Extraction from Variable-length Web-page Lists.
Proceedings of the ICEIS 2009, 2009
2008
Mach. Learn., 2008
Workflow Trees for Representation and Mining of Implicitly Concurrent Business Processes.
Proceedings of the ICEIS 2008, 2008
2006
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
2004
IEEE Trans. Autom. Control., 2004
Proceedings of the Mathematical Foundations of Computer Science 2004, 2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
2003
Proceedings of the UAI '03, 2003
Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003
2002
Learning probabilistic models for optimal visual servo control of dynamic manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002
2000
Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics.
IEEE Trans. Knowl. Data Eng., 2000
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Grounding State Representations in Sensory Experience for Reasoning and Planning by Mobile Robots.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Proceedings of the Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1999
1996
Comparison of Two Learning Networks for Time Series Prediction.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1993
Speech recognition based on Kohonen self-organizing feature maps and hybrid connectionist systems.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993
1992
Prognostic Expert Systems on a Hybrid Connectionist Environment.
Proceedings of the Artificial Intelligence V: Methodology, Systems, Applications, 1992