A new simple ∞OH neuron model as a biologically plausible principal component analyzer. - Marko V. Jankovic (IEEE Trans. Neural Networks, 2003)

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)

A Multipurpose Linear Component Analysis Method Based on Modulated Hebb-Oja Learning Rule. - Marko V. Jankovic; Masashi Sugiyama (IEEE Signal Process. Lett., 2008)

Probabilistic principal component analysis based on JoyStick Probability Selector. - Marko V. Jankovic; Masashi Sugiyama (IJCNN, 2009)

Geometrical Interpretation of Shannon's Entropy Based on the Born Rule - Marko V. Jankovic (CoRR, 2009)

Probabilistic Approach to Neural Networks Computation Based on Quantum Probability Model Probabilistic Principal Subspace Analysis Example - Marko V. Jankovic (CoRR, 2010)

A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks. - Marko V. Jankovic; Neil Rubens (ICONIP (3), 2012)

Applications of probabilistic model based on joystick probability selector. - Marko V. Jankovic; Nikola Georgijevic (IJCNN, 2014)

Quantum Low Entropy based Associative Reasoning or QLEAR Learning. - Marko V. Jankovic (CoRR, 2017)

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)

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 (EMBC, 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)