Session 1 | Session 2 | Session 3 | Session 4 | Session 5 | Session 6 | Session 7 | Session 8
ORAL PRESENTATIONS
Part 1 / 2
WHEN: 9 October, 11:15 – 13:15
WHERE: Hall “Office 1” (Ground Floor, 30 seats)
CHAIR: Assoc. Prof. Tania Pencheva
| 11:15 | 11:45 | Petia Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva
In-silico Investigation of Human Visual System |
| 11:45 | 12:15 | Mark Kirichev, Todor Slavov, Galina Momcheva
Fuzzy U-Net Neural Network Design for Image Segmentation |
| 12:15 | 12:45 | Ivanka Stamova, Sotir Sotirov, Stanislav Simeonov, Gani Stamov
Effects of Variable Impulsive Perturbations on the Stability with Respect to H-manifolds of Fractional-order Cohen-Grossberg Neural Networks |
| 12:45 | 13:15 | Stanislav Simeonov, Gani Stamov, Ivan Torlakov
Visualization on Stability of Impulsive Cohen-Grossberg Neural Networks with Time-varying Delays |
Part 2 / 2
WHEN: 10 October, 09:45 – 12:30
WHERE: Hall “Foros” (100 seats, Floor 2)
CHAIR: Assoc. Prof. Tania Pencheva
| 9:45 | 10:15 | Boris Velichkov, Gerasim Velchev, Panayot Panayotov, Simeon Gerginov, Sylvia Vassileva, Ivan Koychev, Svetla Boytcheva
Cascading Approach for Automatic ICD-10 Codes Association to Diseases in Bulgarian |
| 10:15 | 10:45 | Alexander Peychev, Boris Velichkov, Ivan Koychev, Svetla Boytcheva
A Deep Learning Based Approach for Automatic Synthetic Patient Status Corpora Generation |
| 10:45 | 11:15 | Coffee break and poster session |
| 11:15 | 11:45 | Trifon Chervenkov, Hristo Hristov, Stoyan Pavlov, Galina Momcheva, Antonina Ivanova
A Concept of Bio-process Mining Applied to Time-resolved Developmental Dataset of the Roundworm C. elegans |
| 11:45 | 12:30 | Invited Speaker: Dr. D. Jude Hemanth
Understanding the Mystery behind Deep Learning – Deep, Deeper, Deepest |
POSTER PRESENTATIONS
| Stoyan Hristov, Asen Baltov, Sotir Sotirov |
| Todor Petkov, Stanislav Popov, Milen Todorov, Stanimir Surchev, Sotir Sotirov, Evdokia Sotirova |
| Stela Todorova, Veselina Bureva, Nora Angelova, Mladen Proykov |
| Margarita Terziyska, Ivelina Desseva, Zhelyazko Terziyski |
| Margarita Terziyska, Ivelina Desseva, Zhelyazko Terziyski
Sequence-Based Prediction of Food-originated ACE inhibitory Peptides Using Deep Learning Algorithm |
| Blagovesta Midyurova, Aleksandar Dimitrov, Sotir Sotirov, Todor Petkov
Performance Prediction of a Microbial Fuel Cell Based on Artificial Neural Networks |