Marko V. Jankovic

13 papers B 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2019 J jnl
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.
IEEE J. Biomed. Health Informatics
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
2019 J jnl
A dual mode adaptive basal-bolus advisor based on reinforcement learning.
CoRR
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
2019 — conf
Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy.
EMBC
Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou
2018 J jnl
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network.
CoRR
Qingnan Sun, Marko V. Jankovic, Lia Bally, Stavroula G. Mougiakakou
2017 J jnl
Quantum Low Entropy based Associative Reasoning or QLEAR Learning.
CoRR
Marko V. Jankovic
2014 B conf
Applications of probabilistic model based on joystick probability selector.
IJCNN
Marko V. Jankovic, Nikola Georgijevic
2012 — conf
A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks.
ICONIP (3)
Marko V. Jankovic, Neil Rubens
2010 J jnl
Probabilistic Approach to Neural Networks Computation Based on Quantum Probability Model Probabilistic Principal Subspace Analysis Example
CoRR
Marko V. Jankovic
2009 J jnl
Geometrical Interpretation of Shannon's Entropy Based on the Born Rule
CoRR
Marko V. Jankovic
2009 B conf
Probabilistic principal component analysis based on JoyStick Probability Selector.
IJCNN
Marko V. Jankovic, Masashi Sugiyama
2008 J jnl
A Multipurpose Linear Component Analysis Method Based on Modulated Hebb-Oja Learning Rule.
IEEE Signal Process. Lett.
Marko V. Jankovic, Masashi Sugiyama
2005 J jnl
A new minor component analysis method based on Douglas-Kung-Amari minor subspace analysis method.
IEEE Signal Process. Lett.
Marko V. Jankovic, Branimir Reljin
2003 J jnl
A new simple ∞OH neuron model as a biologically plausible principal component analyzer.
IEEE Trans. Neural Networks
Marko V. Jankovic