Marko V. Jankovic

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 5

Top Topics

Reinforcement Learning

Probabilistic Model

Probability Values

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou
Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy. EMBC (2019)
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
A dual mode adaptive basal-bolus advisor based on reinforcement learning. CoRR (2019)
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Qingnan Sun, Marko V. Jankovic, Lia Bally, Stavroula G. Mougiakakou
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network. CoRR (2018)
Marko V. Jankovic
Quantum Low Entropy based Associative Reasoning or QLEAR Learning. CoRR (2017)
Marko V. Jankovic, Nikola Georgijevic
Applications of probabilistic model based on joystick probability selector. IJCNN (2014)
Marko V. Jankovic, Neil Rubens
A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks. ICONIP (3) (2012)
Marko V. Jankovic
Probabilistic Approach to Neural Networks Computation Based on Quantum Probability Model Probabilistic Principal Subspace Analysis Example CoRR (2010)
Marko V. Jankovic
Geometrical Interpretation of Shannon's Entropy Based on the Born Rule CoRR (2009)
Marko V. Jankovic, Masashi Sugiyama
Probabilistic principal component analysis based on JoyStick Probability Selector. IJCNN (2009)
Marko V. Jankovic, Masashi Sugiyama
A Multipurpose Linear Component Analysis Method Based on Modulated Hebb-Oja Learning Rule. IEEE Signal Process. Lett. 15 (2008)
Marko V. Jankovic, Branimir Reljin
A new minor component analysis method based on Douglas-Kung-Amari minor subspace analysis method. IEEE Signal Process. Lett. 12 (12) (2005)
Marko V. Jankovic
A new simple ∞OH neuron model as a biologically plausible principal component analyzer. IEEE Trans. Neural Networks 14 (4) (2003)