CV

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Publications

Ten most cited, from Google Scholar. The publications page has the full list and the most recent work.

  1. Z Car, S Baressi Šegota, N Anđelić, I Lorencin, V Mrzljak (2020). Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron. Computational and Mathematical Methods in Medicine 2020, 10, 2020 — 279 citations
  2. S Baressi Šegota, N Anđelić, I Lorencin, M Saga, Z Car (2020). Path planning optimization of six-degree-of-freedom robotic manipulators using evolutionary algorithms. International journal of advanced robotic systems 17 (2), 1729881420908076, 2020 — 109 citations
  3. D Štifanić, J Musulin, A Miočević, S Baressi Šegota, R Šubić, Z Car (2020). Impact of COVID‐19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short‐Term Memory. Complexity 2020 (1), 1846926, 2020 — 97 citations
  4. S Baressi Šegota, N Anđelić, V Mrzljak, I Lorencin, I Kuric, Z Car (2021). Utilization of multilayer perceptron for determining the inverse kinematics of an industrial robotic manipulator. International Journal of Advanced Robotic Systems 18 (4), 1729881420925283, 2021 — 82 citations
  5. S Baressi Šegota, I Lorencin, N Anđelić, V Mrzljak, Z Car (2020). Improvement of marine steam turbine conventional exergy analysis by neural network application. Journal of Marine Science and Engineering 8 (11), 884, 2020 — 69 citations
  6. J Musulin, S Baressi Šegota, D Štifanić, I Lorencin, N Anđelić, T Šušteršič, ... (2021). Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review. International journal of environmental research and public health 18 (8), 4287, 2021 — 64 citations
  7. V Medica-Viola, S Baressi Šegota, V Mrzljak, D Štifanić (2020). Comparison of conventional and heat balance based energy analyses of steam turbine. Pomorstvo 34 (1), 74-85, 2020 — 54 citations
  8. N Anđelić, S Baressi Šegota, I Lorencin, V Mrzljak, Z Car (2021). Estimation of COVID-19 epidemic curves using genetic programming algorithm. Health informatics journal 27 (1), 1460458220976728, 2021 — 51 citations
  9. I Lorencin, S Baressi Šegota, N Anđelić, V Mrzljak, T Ćabov, J Španjol, ... (2021). On urinary bladder cancer diagnosis: Utilization of deep convolutional generative adversarial networks for data augmentation. Biology 10 (3), 175, 2021 — 48 citations
  10. I Lorencin, S Baressi Šegota, N Anđelić, A Blagojević, T Šušteršić, ... (2021). Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks. Journal of Personalized Medicine 11 (1), 28, 2021 — 46 citations

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