Daniel Nikovski

128 papers A* 13A 6B 4C 16Misc 4Journal 39Unranked 46

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Disentangled Object-Centric Configuration Representation Learning for Articulated Robot Arms. CoDIT Daniel Nikovski
2025	Misc	`conf`	Learning Visual Servoing for Nonholonomic Mobile Robots with Uncalibrated Cameras. SAC Jen-Wei Wang, Daniel Nikovski
2025	—	`conf`	Observation-Based Inverse Kinematics for Visual Servo Control. ICINCO (1) Daniel Nikovski
2025	—	`conf`	State Representation Learning for Visual Servo Control. ECC Jen-Wei Wang, Daniel Nikovski
2024	C	`conf`	Adaptive Velocity Estimators for Learning Control. CoDIT Daniel Nikovski, William Yerazunis
2024	C	`conf`	Learning Time-Optimal Control of Gantry Cranes. ICMLA Junmin Zhong, Daniel Nikovski, William Yerazunis, Taishi Ando
2024	C	`conf`	Memory-Based Global Iterative Linear Quadratic Control. CoDIT Daniel Nikovski, Junmin Zhong, William Yerazunis
2024	C	`conf`	Memory-Based Learning of Global Control Policies from Local Controllers. ICINCO (1) Daniel Nikovski, Junmin Zhong, William Yerazunis
2023	—	`conf`	A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events. ISGT EUROPE Anping Zhou, Hongbo Sun, Shoichi Kitamura, Daniel Nikovski
2023	A	`conf`	Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2023	—	`conf`	Design of Adaptive Compliance Controllers for Safe Robotic Assembly. ECC Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
2023	—	`conf`	Estimating traffic density using transformer decoders. ANT/EDI40 Yinsong Wang, Jing Zhang, Daniel Nikovski, Takuro Kojima
2023	J	`jnl`	Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. CoRR Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres
2023	—	`conf`	Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. ECC Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
2023	C	`conf`	Learning Control from Raw Position Measurements. ACC Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
2023	J	`jnl`	Learning Control from Raw Position Measurements. CoRR Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
2023	C	`conf`	Learning Object Manipulation With Under-Actuated Impulse Generator Arrays. ACC Chuizheng Kong, William Yerazunis, Daniel Nikovski
2023	J	`jnl`	Learning Object Manipulation With Under-Actuated Impulse Generator Arrays. CoRR Chuizheng Kong, William Yerazunis, Daniel Nikovski
2023	C	`conf`	Model-Based Learning Controller Design for a Furuta Pendulum. CoDIT Daniel Nikovski, William Yerazunis, Abraham Goldsmith
2023	C	`conf`	Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays. ICMLA Chuizheng Kong, William Yerazunis, Daniel Nikovski
2023	—	`conf`	Travel-time prediction using neural-network-based mixture models. ANT/EDI40 Abhishek Sharma, Jing Zhang, Daniel Nikovski, Finale Doshi-Velez
2022	J	`jnl`	Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2022	—	`conf`	Context-Aware Destination and Time-To-Destination Prediction Using Machine learning. ISC2 Athanasios Tsiligkaridis, Jing Zhang, Ioannis Ch. Paschalidis, Hiroshi Taguchi, Satoko Sakajo, Daniel Nikovski
2022	B	`conf`	Deep Reinforcement Learning for Optimal Sailing Upwind. IJCNN Takumi Suda, Daniel Nikovski
2022	J	`jnl`	Design of Adaptive Compliance Controllers for Safe Robotic Assembly. CoRR Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
2022	—	`conf`	Fair Blackout Rotation for Distribution Systems under Extreme Weather Events. ISGT-Europe Hongbo Sun, Shoichi Kitamura, Daniel Nikovski
2022	J	`jnl`	Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. CoRR Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
2022	—	`conf`	Imitation and Supervised Learning of Compliance for Robotic Assembly. ECC Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
2022	J	`jnl`	Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. IEEE Trans. Robotics Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
2022	C	`conf`	Transfer Learning for Bayesian Optimization with Principal Component Analysis. ICMLA Hideyuki Masui, Diego Romeres, Daniel Nikovski
2022	—	`conf`	Transformer Networks for Predictive Group Elevator Control. ECC Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
2022	J	`jnl`	Transformer Networks for Predictive Group Elevator Control. CoRR Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
2021	—	`conf`	Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. ECC Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. CoRR Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2021	—	`conf`	Distribution Fault Location Using Graph Neural Network with Both Node and Link Attributes. ISGT-Europe Hongbo Sun, Shunsuke Kawano, Daniel Nikovski, Tomihiro Takano, Kazuyuki Mori
2021	C	`conf`	Dynamic Thermal Comfort Optimization for Groups. ACC Emil Laftchiev, Diego Romeres, Daniel Nikovski
2021	J	`jnl`	Imitation and Supervised Learning of Compliance for Robotic Assembly. CoRR Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
2021	J	`jnl`	Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application. CoRR Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Model-based Policy Search for Partially Measurable Systems. CoRR Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres
2021	A*	`conf`	Personalizing Individual Comfort in the Group Setting. AAAI Emil Laftchiev, Diego Romeres, Daniel Nikovski
2021	A*	`conf`	Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. ICRA Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
2021	J	`jnl`	Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. CoRR Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
2020	J	`jnl`	A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters. CoRR Tong Huang, Hongbo Sun, Kyeong Jin Kim, Daniel Nikovski, Le Xie
2020	—	`conf`	CVaR-constrained Stochastic Bidding Strategy for a Virtual Power Plant with Mobile Energy Storages. ISGT-Europe Dongliang Xiao, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori, Hiroyuki Hashimoto
2020	A*	`conf`	Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
2020	J	`jnl`	Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
2020	Misc	`conf`	Deep Reactive Planning in Dynamic Environments. CoRL Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
2020	J	`jnl`	Deep Reactive Planning in Dynamic Environments. CoRR Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
2020	—	`conf`	Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution System. ISGT Shiva Poudel, Hongbo Sun, Daniel Nikovski, Jinyun Zhang
2020	A*	`conf`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2020	J	`jnl`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2020	J	`jnl`	Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. CoRR Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
2020	J	`jnl`	Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics Autom. Lett. Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
2020	J	`jnl`	Multi-label Prediction in Time Series Data using Deep Neural Networks. CoRR Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski
2020	B	`conf`	Personalized Destination Prediction Using Transformers in a Contextless Data Setting. IJCNN Athanasios Tsiligkaridis, Jing Zhang, Hiroshi Taguchi, Daniel Nikovski
2020	—	`conf`	The Missing Input Problem. IEEE BigData Emil Laftchiev, Qing Yan, Daniel Nikovski
2020	J	`jnl`	Towards Human-Level Learning of Complex Physical Puzzles. CoRR Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2020	J	`jnl`	Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. CoRR Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski
2019	—	`conf`	Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau
2019	J	`jnl`	Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity. IEEE Trans. Smart Grid Hanchen Xu, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori, Hiroyuki Hashimoto
2019	—	`conf`	Distributed Estimation and Detection of Cyber-Physical Attacks in Power Systems. ICC Workshops Ariana Minot, Hongbo Sun, Daniel Nikovski, Jinyun Zhang
2019	—	`conf`	Fault Detection and Classification of Time Series Using Localized Matrix Profiles. ICPHM Jing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino
2019	J	`jnl`	Introducing time series chains: a new primitive for time series data mining. Knowl. Inf. Syst. Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh
2019	J	`jnl`	Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
2019	—	`conf`	Learning Dynamical Demand Response Model in Real-Time Pricing Program. ISGT Hanchen Xu, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori
2019	A*	`conf`	Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. ICRA Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski
2019	A*	`conf`	Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. ICRA Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2019	A	`conf`	Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
2019	J	`jnl`	Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
2018	—	`conf`	Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. DX Emil Laftchiev, Xinmaio Sun, Hoang Anh Dau, Daniel Nikovski
2018	J	`jnl`	Learning Dynamical Demand Response Model in Real-Time Pricing Program. CoRR Hanchen Xu, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori
2018	A*	`conf`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. ICML Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2018	J	`jnl`	Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. CoRR Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
2018	J	`jnl`	Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. CoRR Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski
2018	J	`jnl`	Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. CoRR Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2018	A*	`conf`	Time Series Chains: A Novel Tool for Time Series Data Mining. IJCAI Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh
2017	—	`conf`	Learning to regulate rolling ball motion. SSCI Devesh K. Jha, Daniel Nikovski, William Yerazunis, Amir-massoud Farahmand
2017	A*	`conf`	Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award). ICDM Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh
2017	—	`conf`	Random Projection Filter Bank for Time Series Data. NIPS Amir-massoud Farahmand, Sepideh Pourazarm, Daniel Nikovski
2017	A*	`conf`	Submodular Function Maximization for Group Elevator Scheduling. ICAPS Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
2017	J	`jnl`	Submodular Function Maximization for Group Elevator Scheduling. CoRR Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
2017	—	`conf`	Three-level co-optimization model for generation scheduling of integrated energy and regulation market. ISGT Asia Hongbo Sun, Yusuke Takaguchi, Daniel Nikovski, Hiroyuki Hashimoto
2017	A	`conf`	Value-Aware Loss Function for Model-based Reinforcement Learning. AISTATS Amir Massoud Farahmand, André Barreto, Daniel Nikovski
2016	C	`conf`	A humidity integrated building thermal model. ACC Jingyang Xu, Daniel Nikovski
2016	—	`conf`	An IoT system to estimate personal thermal comfort. WF-IoT Emil Laftchiev, Daniel Nikovski
2016	J	`jnl`	Exemplar learning for extremely efficient anomaly detection in real-valued time series. Data Min. Knowl. Discov. Michael Jones, Daniel Nikovski, Makoto Imamura, Takahisa Hirata
2016	—	`conf`	Learning to control partial differential equations: Regularized Fitted Q-Iteration approach. CDC Amir-massoud Farahmand, Saleh Nabi, Piyush Grover, Daniel Nikovski
2016	—	`conf`	Mitigating substation demand fluctuations using decoupled price schemes for demand response. ISGT Hongbo Sun, Ariana Minot, Daniel Nikovski, Hiroyuki Hashimoto, Tomihiro Takano, Yusuke Takaguchi
2016	J	`jnl`	Modeling and Forecasting Self-Similar Power Load Due to EV Fast Chargers. IEEE Trans. Smart Grid Nikita Korolko, Zafer Sahinoglu, Daniel Nikovski
2016	B	`conf`	Regularized covariance matrix estimation with high dimensional data for supervised anomaly detection problems. IJCNN Daniel Nikovski, Kiran Byadarhaly
2015	C	`conf`	A framework for real-time near-optimal train run-curve computation with dynamic travel time and speed limits. ACC Jingyang Xu, Daniel Nikovski, Sae Kimura
2015	—	`conf`	A generalized admittance based method for fault location analysis of distribution systems. ISGT Zhenyu Tan, Hongbo Sun, Daniel Nikovski, Tomihiro Takano, Yasuhiro Kojima, Tetsufumi Ohno
2015	—	`conf`	Electricity theft detection using smart meter data. ISGT Sanujit Sahoo, Daniel Nikovski, Toru Muso, Kaoru Tsuru
2015	—	`conf`	Locating double-line-to-ground faults using hybrid current profile approach. ISGT Anamika Dubey, Hongbo Sun, Daniel Nikovski, Tomihiro Takano, Yasuhiro Kojima, Tetsufumi Ohno
2015	—	`conf`	Static voltage stability detection using local measurement for microgrids in a power distribution network. CDC Zhao Wang, Hongbo Sun, Daniel Nikovski
2014	C	`conf`	Energy-efficient collision-free trajectory planning using Alternating Quadratic Programming. ACC Yiming Zhao, Yebin Wang, Scott A. Bortoff, Daniel Nikovski
2013	—	`conf`	Estimating locations of single-phase-to-ground faults of ungrounded distribution systems. ISGT Europe Hongbo Sun, Daniel Nikovski, Tomihiro Takano, Yasuhiro Kojima, Tetsufumi Ohno
2013	C	`conf`	Global optimization of multi-period optimal power flow. ACC Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
2013	—	`conf`	Predicting link travel times from floating car data. ITSC Michael Jones, Yanfeng Geng, Daniel Nikovski, Takahisa Hirata
2012	—	`conf`	Bayesian Networks for Matcher Composition in Automatic Schema Matching. ICEIS (1) Daniel Nikovski, Alan Esenther, Xiang Ye, Mitsuteru Shiba, Shigenobu Takayama
2012	—	`conf`	Global optimization of Optimal Power Flow using a branch & bound algorithm. Allerton Conference Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
2012	—	`conf`	Hybrid three-phase load flow method for ungrounded distribution systems. ISGT Europe Hongbo Sun, Daniel Nikovski, Tetsufumi Ohno, Tomihiro Takano, Yasuhiro Kojima
2012	J	`jnl`	Marginalizing Out Future Passengers in Group Elevator Control CoRR Daniel Nikovski, Matthew Brand
2012	—	`conf`	Matcher Composition Methods for Automatic Schema Matching. ICEIS Daniel Nikovski, Alan Esenther, Xiang Ye, Mitsuteru Shiba, Shigenobu Takayama
2011	—	`conf`	Construction of embedded Markov decision processes for optimal control of non-linear systems with continuous state spaces. CDC/ECC Daniel Nikovski, Alan Esenther
2010	J	`jnl`	Fast adaptive algorithms for abrupt change detection. Mach. Learn. Daniel Nikovski, Ankur Jain
2009	—	`conf`	Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series. MLDM Daniel Nikovski, Ganesan Ramachandran
2009	—	`conf`	Semi-supervised Information Extraction from Variable-length Web-page Lists. ICEIS (1) Daniel Nikovski, Alan Esenther, Akihiro Baba
2008	—	`conf`	Incremental Exemplar Learning Schemes for Classification on Embedded Devices. ECML/PKDD (1) Ankur Jain, Daniel Nikovski
2008	J	`jnl`	Incremental exemplar learning schemes for classification on embedded devices. Mach. Learn. Ankur Jain, Daniel Nikovski
2008	—	`conf`	Workflow Trees for Representation and Mining of Implicitly Concurrent Business Processes. ICEIS (3-2) Daniel Nikovski
2006	Misc	`conf`	Induction of compact decision trees for personalized recommendation. SAC Daniel Nikovski, Veselin Kulev
2004	J	`jnl`	Exact calculation of expected waiting times for group elevator control. IEEE Trans. Autom. Control. Daniel Nikovski, Matthew Brand
2004	A*	`conf`	Optimal Parking in Group Elevator Control. ICRA Matthew Brand, Daniel Nikovski
2004	B	`conf`	Theory and Applied Computing: Observations and Anecdotes. MFCS Matthew Brand, Sarah F. Frisken Gibson, Neal Lesh, Joe Marks, Daniel Nikovski, Ronald N. Perry, Jonathan S. Yedidia
2003	A*	`conf`	Decision-Theoretic Group Elevator Scheduling. ICAPS Daniel Nikovski, Matthew Brand
2003	A	`conf`	Marginalizing Out Future Passengers in Group Elevator Control. UAI Daniel Nikovski, Matthew Brand
2002	A	`conf`	Learning probabilistic models for optimal visual servo control of dynamic manipulation. IROS Daniel Nikovski, Illah R. Nourbakhsh
2002	A	`conf`	Learning probabilistic models for state tracking of mobile robots. IROS Daniel Nikovski, Illah R. Nourbakhsh
2000	J	`jnl`	Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics. IEEE Trans. Knowl. Data Eng. Daniel Nikovski
2000	—	`conf`	Grounding State Representations in Sensory Experience for Reasoning and Planning by Mobile Robots. AAAI/IAAI Daniel Nikovski
2000	A*	`conf`	Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots. ICML Daniel Nikovski, Illah R. Nourbakhsh
1999	—	`conf`	Learning discrete Bayesian models for autonomous agent navigation. CIRA Daniel Nikovski, Illah R. Nourbakhsh
1996	—	`conf`	Amelia. AAAI/IAAI, Vol. 2 Reid G. Simmons, Sebastian Thrun, Greg Armstrong, Richard Goodwin, Karen Zita Haigh, Sven Koenig, Shyjan Mahamud, Daniel Nikovski, Joseph O'Sullivan
1996	C	`conf`	Comparison of Two Learning Networks for Time Series Prediction. IEA/AIE Daniel Nikovski, Mehdi Zargham
1993	—	`conf`	Speech recognition based on Kohonen self-organizing feature maps and hybrid connectionist systems. ANNES Nikola K. Kasabov, Daniel Nikovski, Emilian Peev
1992	Misc	`conf`	Prognostic Expert Systems on a Hybrid Connectionist Environment. AIMSA Nikola K. Kasabov, Daniel Nikovski