Marko V. Jankovic

According to our database, Marko V. Jankovic authored at least 12 papers between 2003 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.

Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou

IEEE J. Biomed. Health Informatics, 2019

Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy.

Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network.

Qingnan Sun, Marko V. Jankovic, Lia Bally, Stavroula G. Mougiakakou

CoRR, 2018

2017

Quantum Low Entropy based Associative Reasoning or QLEAR Learning.

Marko V. Jankovic

CoRR, 2017

2014

Applications of probabilistic model based on joystick probability selector.

Marko V. Jankovic, Nikola Georgijevic

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks.

Marko V. Jankovic, Neil Rubens

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2010

Probabilistic Approach to Neural Networks Computation Based on Quantum Probability Model Probabilistic Principal Subspace Analysis Example

Marko V. Jankovic

CoRR, 2010

2009

Geometrical Interpretation of Shannon's Entropy Based on the Born Rule

Marko V. Jankovic

CoRR, 2009

Probabilistic principal component analysis based on JoyStick Probability Selector.

Marko V. Jankovic, Masashi Sugiyama

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

A Multipurpose Linear Component Analysis Method Based on Modulated Hebb-Oja Learning Rule.

Marko V. Jankovic, Masashi Sugiyama

IEEE Signal Process. Lett., 2008

2005

A new minor component analysis method based on Douglas-Kung-Amari minor subspace analysis method.

Marko V. Jankovic, Branimir Reljin

IEEE Signal Process. Lett., 2005

2003

A new simple ∞OH neuron model as a biologically plausible principal component analyzer.

Marko V. Jankovic

IEEE Trans. Neural Networks, 2003