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  1. A Novel Study on Modelling and Adaptive Optimal Control of a Tubular Reactor Based on Gaussian Processes

    Article • January 2025, Springer Science + Business Media

    Prof. Jus Kocijan

  2. Deep Neural Input-Filtered Gaussian Process Model

    Article • January 2024, Springer Science + Business Media

    Prof. Jus Kocijan

  3. Introduction to the special issue on Intelligent Control and Optimisation

    Article • Engineering Applications of Artificial Intelligence, August 2023, Elsevier

    Prof. Jus Kocijan

  4. Dynamical and statistical properties of estimated high-dimensional ODE models: The case of the Lorenz ’05 type II model

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, July 2023, American Institute of Physics

    Aljaž Pavšek, Prof. Jus Kocijan

  5. Surrogate tree ensemble model representing 2D population doses over complex terrain in the event of a radiological release into the air

    Article • Progress in Nuclear Energy, April 2023, Elsevier

    Prof. Jus Kocijan

  6. Distributed predictive control based on Gaussian process models

    Article • Automatica, March 2023, Elsevier

    Prof. Jus Kocijan

  7. Hybrid Forecasting of Wind for Air Pollution Dispersion over Complex Terrain

    Article • Journal of Environmental Informatics, January 2023, International Society for Environmental Information Science (ISEIS)

    Prof. Jus Kocijan

  8. Terminological Dictionary of Automatic Control, Systems and Robotics

    Article • January 2023, Springer Science + Business Media

    Prof. Jus Kocijan

  9. Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion

    Article • Stochastic Hydrology and Hydraulics, August 2022, Springer Science + Business Media

    Prof. Jus Kocijan

  10. Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion

    Article • May 2022, Research Square

    Prof. Jus Kocijan

  11. Contents

    Article • IFAC-PapersOnLine, January 2022, Elsevier

    Professor Kevin Guelton, Prof. Jus Kocijan

  12. Input variable selection using machine learning and global sensitivity methods for the control of sludge bulking in a wastewater treatment plant

    Article • Computers & Chemical Engineering, November 2021, Elsevier

    Prof. Jus Kocijan

  13. Data-driven method for the improving forecasts of local weather dynamics

    Article • Engineering Applications of Artificial Intelligence, October 2021, Elsevier

    Prof. Jus Kocijan

  14. Dynamic System Identification of Underwater Vehicles Using Multi-Output Gaussian Processes

    Article • International Journal of Automation and Computing, July 2021, Springer Science + Business Media

    Prof. Jus Kocijan

  15. Fast Numerical Wind Turbine Candidate Site Evaluation

    Article • Applied Sciences, March 2021, MDPI AG

    Prof. Jus Kocijan

  16. Simulation of variational Gaussian process NARX models with GPGPU

    Article • ISA Transactions, March 2021, Elsevier

    Prof. Jus Kocijan

  17. Improving wind vector predictions for modelling of atmospheric dispersion during Seveso-type accidents

    Article • Atmospheric Pollution Research, February 2021, Elsevier

    Prof. Jus Kocijan

  18. Gaussian Process Modelling of the F-16 Ground Vibration Test Benchmark: Data Selection Case Study

    Article • IFAC-PapersOnLine, January 2021, Elsevier

    Prof. Jus Kocijan

  19. Integrated theoretical and data-driven Gaussian Process NARX Model for the Simulation of Effluent Concentrations in Wastewater Treatment Plant

    Article • IFAC-PapersOnLine, January 2021, Elsevier

    Prof. Jus Kocijan

  20. Design of a hybrid mechanistic/Gaussian process model to predict full-scale wastewater treatment plant effluent

    Article • Computers & Chemical Engineering, September 2020, Elsevier

    Prof. Jus Kocijan

  21. Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour

    Article • PLOS One, April 2020, PLOS

    Prof. Jus Kocijan

  22. Equation Discovery for Nonlinear System Identification

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  23. Sparse and hybrid modelling of relative humidity

    Article • CAAI Transactions on Intelligence Technology, December 2019, the Institution of Engineering and Technology (the IET)

    Matija Perne, Prof. Jus Kocijan

  24. Hybrid model of the near-ground temperature profile

    Article • Stochastic Hydrology and Hydraulics, October 2019, Springer Science + Business Media

    Matija Perne, Prof. Jus Kocijan

  25. Introduction to Dependence Relations and Their Links to Algebraic Hyperstructures

    Article • Mathematics, September 2019, MDPI AG

    Prof. Jus Kocijan

  26. Contents

    Article • IFAC-PapersOnLine, January 2019, Elsevier

    Prof. Jus Kocijan

  27. Identification of Atmospheric Variable Using Deep Gaussian Processes ⁎ ⁎The authors acknowledge the project “Method for the forecasting of local radiological pollution of atmosphere using Gaussian process models”, ID L2-8174, and research core funding...

    Article • IFAC-PapersOnLine, January 2018, Elsevier

    Prof. Jus Kocijan

  28. Validation of numerically forecast vertical temperature profile with measurements for dispersion modelling

    Article • International Journal of Environment and Pollution, January 2018, Inderscience Publishers

    Prof. Jus Kocijan

  29. Selection of the data time interval for the prediction of maximum ozone concentrations

    Article • Stochastic Hydrology and Hydraulics, October 2017, Springer Science + Business Media

    Prof. Jus Kocijan

  30. Nonlinear data assimilation for the regional modeling of maximum ozone values

    Article • Environmental Science and Pollution Research, September 2017, Springer Science + Business Media

    Prof. Jus Kocijan

  31. The Slovenian Dictionary of Automatic Control, Systems and Robotics * *This project was supported by Automatic Control Society of Slovenia, University of Ljubljana and Jozef Stefan Institute, Slovenia.

    Article • IFAC-PapersOnLine, July 2017, Elsevier

    Prof. Jus Kocijan

  32. On-line identification with regularised Evolving Gaussian process

    Article • May 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  33. The use of a new diagram for the analysis of the daily cycles in the air-pollution data

    Article • International Journal of Environment and Pollution, January 2017, Inderscience Publishers

    Prof. Jus Kocijan

  34. Validation of meteorological forecasts in fine spatial and temporal resolution produced as an input for dispersion models

    Article • International Journal of Environment and Pollution, January 2017, Inderscience Publishers

    Prof. Jus Kocijan

  35. Accounting for modelling errors in model-based diagnosis by using Gaussian process models

    Article • September 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  36. Ensembles of Fuzzy Linear Model Trees for the Identification of Multioutput Systems

    Article • IEEE Transactions on Fuzzy Systems, August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  37. Improving of local ozone forecasting by integrated models

    Article • Environmental Science and Pollution Research, June 2016, Springer Science + Business Media

    Prof. Jus Kocijan

  38. On-line algorithm for ground-level ozone prediction with a mobile station

    Article • Atmospheric Environment, April 2016, Elsevier

    Prof. Jus Kocijan

  39. A comparison of fuzzy identification methods on benchmark datasets

    Article • IFAC-PapersOnLine, January 2016, Elsevier

    Prof. Jus Kocijan

  40. Closed-Loop Control with Evolving Gaussian Process Models

    Article • January 2016, Springer Science + Business Media

    Prof. Jus Kocijan

  41. Modelling and Control of Dynamic Systems Using Gaussian Process Models

    Article • January 2016, Springer Science + Business Media

    Prof. Jus Kocijan

  42. Case Studies

    Article • November 2015, Springer Science + Business Media

    Prof. Jus Kocijan

  43. Control with GP Models

    Article • November 2015, Springer Science + Business Media

    Prof. Jus Kocijan

  44. Incorporation of Prior Knowledge

    Article • November 2015, Springer Science + Business Media

    Prof. Jus Kocijan

  45. Introduction

    Article • November 2015, Springer Science + Business Media

    Prof. Jus Kocijan

  46. System Identification with GP Models

    Article • November 2015, Springer Science + Business Media

    Prof. Jus Kocijan

  47. Trends, Challenges and Research Opportunities

    Article • November 2015, Springer Science + Business Media

    Prof. Jus Kocijan

  48. Regressor selection for ozone prediction

    Article • Simulation Modelling Practice and Theory, May 2015, Elsevier

    Prof. Jus Kocijan

  49. Model-Tree Ensembles for noise-tolerant system identification

    Article • Advanced Engineering Informatics, January 2015, Elsevier

    Prof. Jus Kocijan

  50. MODELLING OCCUPANCY-QUEUE RELATION USING GAUSSIAN PROCESS

    Article • Neural Network World, January 2015, Czech Technical University in Prague - Central Library

    Prof. Jus Kocijan

  51. Ozone forecasting using an online updating Gaussian-process model

    Article • International Journal of Environment and Pollution, January 2015, Inderscience Publishers

    Prof. Jus Kocijan

  52. Terminološki slovar avtomatike

    Article • October 2014, Scientific Research Centre ZRC-SAZU

    Prof. Jus Kocijan

  53. Model Tree Ensembles for the Identification of Multiple-Output Systems

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  54. An exploration of EEG features during recovery following stroke - implications for BCI-mediated neurorehabilitation therapy

    Article • Journal of NeuroEngineering and Rehabilitation, January 2014, Springer Science + Business Media

    Richard Roche, Prof. Jus Kocijan

  55. Application of Gaussian Processes to the Modelling and Control in Process Engineering

    Article • January 2014, Springer Science + Business Media

    Prof. Jus Kocijan

  56. Sequencing batch-reactor control using Gaussian-process models

    Article • Bioresource Technology, June 2013, Elsevier

    Prof. Jus Kocijan

  57. Evolving Gaussian process models for prediction of ozone concentration in the air

    Article • Simulation Modelling Practice and Theory, April 2013, Elsevier

    Prof. Jus Kocijan

  58. A PLC-Based System for Advanced Control

    Article • January 2013, Springer Science + Business Media

    Prof. Jus Kocijan

  59. Model Tree Ensembles for Modeling Dynamic Systems

    Article • January 2013, Springer Science + Business Media

    Prof. Jus Kocijan

  60. Streaming-Data Selection for Gaussian-Process Modelling

    Article • January 2013, Springer Science + Business Media

    Prof. Jus Kocijan

  61. The Divide-and-Conquer Method for Modelling and Control of Nonlinear Systems: Some Important Issues Concerning Its Application

    Article • January 2013, Springer Science + Business Media

    Prof. Jus Kocijan

  62. Multi-criteria analyses of wastewater treatment bio-processes under an uncertainty and a multiplicity of steady states

    Article • Water Research, November 2012, Elsevier

    Prof. Jus Kocijan

  63. Financial modeling using Gaussian process models

    Article • September 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  64. Control system with evolving Gaussian process models

    Article • April 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  65. Prognosis of gear health using Gaussian process model

    Article • April 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  66. Dynamical systems identification using Gaussian process models with incorporated local models

    Article • Engineering Applications of Artificial Intelligence, March 2011, Elsevier

    Prof. Jus Kocijan

  67. Explicit output-feedback nonlinear predictive control based on black-box models

    Article • Engineering Applications of Artificial Intelligence, March 2011, Elsevier

    Prof. Jus Kocijan

  68. Optimization of Gaussian Process Models with Evolutionary Algorithms

    Article • January 2011, Springer Science + Business Media

    Prof. Jus Kocijan

  69. Output-Error Model Training for Gaussian Process Models

    Article • January 2011, Springer Science + Business Media

    Prof. Jus Kocijan

  70. Dual-mode Explicit Output-feedback Predictive Control Based on Neural Network Models

    Article • IFAC Proceedings Volumes, September 2010, Elsevier

    Prof. Jus Kocijan

  71. Soft sensor for faulty measurements detection and reconstruction in urban traffic

    Article • April 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  72. Improving disturbance rejection of PID controllers by means of the magnitude optimum method

    Article • ISA Transactions, January 2010, Elsevier

    Prof. Jus Kocijan

  73. Modelling case study for holistic production control

    Article • IFAC Proceedings Volumes, January 2010, Elsevier

    Prof. Jus Kocijan

  74. Fixed-structure Gaussian process model

    Article • International Journal of Systems Science, December 2009, Taylor & Francis

    Prof. Jus Kocijan

  75. An Empirical Model of Occupancy-Queue Relation

    Article • IFAC Proceedings Volumes, January 2009, Elsevier

    Prof. Jus Kocijan

  76. Application of Varying Parameters Modelling with Gaussian Processes

    Article • IFAC Proceedings Volumes, January 2009, Elsevier

    Prof. Jus Kocijan

  77. Non-linear model predictive control for models with local information and uncertainties

    Article • Transactions of the Institute of Measurement and Control, December 2008, SAGE Publications

    Prof. Jus Kocijan

  78. Gas–liquid separator modelling and simulation with Gaussian-process models

    Article • Simulation Modelling Practice and Theory, September 2008, Elsevier

    Prof. Jus Kocijan

  79. Explicit stochastic predictive control of combustion plants based on Gaussian process models

    Article • Automatica, June 2008, Elsevier

    Prof. Jus Kocijan

  80. Application of Gaussian processes for black-box modelling of biosystems

    Article • ISA Transactions, October 2007, Elsevier

    Prof. Jus Kocijan

  81. Explicit stochastic Nonlinear Predictive Control based on Gaussian process models

    Article • July 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  82. Fuzzy controller for cement raw material blending

    Article • Transactions of the Institute of Measurement and Control, March 2007, SAGE Publications

    Prof. Jus Kocijan

  83. Predictive control of a gas–liquid separation plant based on a Gaussian process model

    Article • Computers & Chemical Engineering, January 2007, Elsevier

    Prof. Jus Kocijan

  84. The concept for Gaussian process model based system identification toolbox

    Article • January 2007, ACM (Association for Computing Machinery)

    Prof. Jus Kocijan

  85. Advanced control algorithms embedded in a programmable logic controller

    Article • Control Engineering Practice, August 2006, Elsevier

    Prof. Jus Kocijan

  86. Dynamic systems identification with Gaussian processes

    Article • Mathematical and Computer Modelling of Dynamical Systems, December 2005, Taylor & Francis

    Prof. Jus Kocijan

  87. Explicit model predictive control of gas–liquid separation plant via orthogonal search tree partitioning

    Article • Computers & Chemical Engineering, November 2004, Elsevier

    Prof. Jus Kocijan

  88. Simulation of Fuzzy-Logic-Based Intelligent Wheelchair Control System

    Article • Journal of Intelligent & Robotic Systems, February 2004, Springer Science + Business Media

    Prof. Jus Kocijan

  89. A signal convolution method for estimation of controller parameter sensitivity functions for tuning of feedback control systems by an iterative process

    Article • Control Engineering Practice, September 2003, Elsevier

    Prof. Jus Kocijan

  90. ASPECT - Advanced Control Algorithms on Industrial Controllers

    Article • IFAC Proceedings Volumes, September 2003, Elsevier

    Prof. Jus Kocijan

  91. Wastewater treatment benchmark: what can be achieved with simple control?

    Article • Water Science & Technology Water Supply, February 2002, IWA Publishing

    Prof. Jus Kocijan

  92. Fuzzy gain-scheduling control of a gas-liquid separation plant implemented on a PLC

    Article • International Journal of Control, January 2002, Taylor & Francis

    Prof. Jus Kocijan

  93. System analysis for optimal control of a wastewater treatment benchmark

    Article • Water Science & Technology Water Supply, April 2001, IWA Publishing

    Prof. Jus Kocijan

  94. Experimental design of an optimal phase duration control strategy used in batch biological wastewater treatment

    Article • ISA Transactions, January 2001, Elsevier

    Prof. Jus Kocijan

  95. An integrated undergraduate teaching laboratory approach to multivariable control

    Article • IEEE Transactions on Education, January 1997, Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  96. An application of a technique for the tuning of multiparameter controllers

    Article • Transactions of the Institute of Measurement and Control, April 1995, SAGE Publications

    Prof. Jus Kocijan

  97. Approach to robust multivariable combustion control design

    Article • Computers in Industry, January 1992, Elsevier

    Prof. Jus Kocijan

  98. ASPECT: industrial self-tuning nonlinear controller on a PLC

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  99. Design of reduced dimension explicit model predictive controller for a gas-liquid separation plant

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan

  100. Predictive control with Gaussian process models

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Prof. Jus Kocijan