E-LIB Suche - Ergebnisse für: Gojic, Gorana

1

Overview of Deep Learning Methods for Retinal Vessel Segmen..:

, In: Disruptive Information Technologies for a Smart Society; Lecture Notes in Networks and Systems,

Gojić, Gorana ; Kundačina, Ognjen ; Mišković, Dragiša. - p. 81-92 , 2024

Link: https://doi.org/10.1007/..

2

Non-adversarial Robustness of Deep Learning Methods for Com..:

, In: 2023 10th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN),

Gojic, Gorana ; Vincan, Vladimir ; Kundacina, Ognjen.. - p. 1-9 , 2023

Link: https://doi.org/10.1109/..

3

Scalability and Sample Efficiency Analysis of Graph Neural ..:

, In: 2023 International Balkan Conference on Communications and Networking (BalkanCom),

Kundacina, Ognjen ; Gojic, Gorana ; Cosovic, Mirsad.. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

4

Supporting Future Electrical Utilities: Using Deep Learning..:

, In: 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH),

Kundacina, Ognjen ; Gojic, Gorana ; Miskovic, Dragisa.. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

5

Supporting Future Electrical Utilities: Using Deep Learning..:

Kundacina, Ognjen ; Gojic, Gorana ; Mitrovic, Mile..
http://arxiv.org/abs/2303.00428. , 2023

Link: http://arxiv.org/abs/230..

6

Non-adversarial Robustness of Deep Learning Methods for Com..:

Gojić, Gorana ; Vincan, Vladimir ; Kundačina, Ognjen..
http://arxiv.org/abs/2305.14986. , 2023

Link: http://arxiv.org/abs/230..

7

Overview of Deep Learning Methods for Retinal Vessel Segmen..:

Gojić, Gorana ; Kundačina, Ognjen ; Mišković, Dragiša.
http://arxiv.org/abs/2306.06116. , 2023

Link: http://arxiv.org/abs/230..

8

Scalability and Sample Efficiency Analysis of Graph Neural ..:

Kundacina, Ognjen ; Gojic, Gorana ; Cosovic, Mirsad..
http://arxiv.org/abs/2303.00105. , 2023

Link: http://arxiv.org/abs/230..

9

Deep Learning Methods for Retinal Blood Vessel Segmentation..:

Gojić, Gorana ; Petrović, Veljko ; Turović, Radovan...
http://arxiv.org/abs/2306.11576. , 2023

Link: http://arxiv.org/abs/230..

10

Comparing the Clinical Viability of Automated Fundus Image ..:

Gojić, Gorana ; Petrović, Veljko B. ; Dragan, Dinu...
Sensors. 22 (2022) 23 - p. 9101 , 2022

Link: https://doi.org/10.3390/..

11

Robustness of deep learning methods for ocular fundus segme..:

Petrović, Veljko B. ; Gojić, Gorana ; Dragan, Dinu...
Concurrency and Computation: Practice and Experience. 34 (2022) 14 - p. , 2022

Link: https://doi.org/10.1002/..

12

An End-to-End Deep Learning Method for Voltage Sag Classifi..:

Turović, Radovan ; Dragan, Dinu ; Gojić, Gorana...
Energies. 15 (2022) 8 - p. 2898 , 2022

Link: https://doi.org/10.3390/..

13

Comparing the Clinical Viability of Automated Fundus Image ..:

Gorana Gojić ; Veljko B. Petrović ; Dinu Dragan...
https://www.mdpi.com/1424-8220/22/23/9101. , 2022

Link: https://doi.org/10.3390/..

14

An End-to-End Deep Learning Method for Voltage Sag Classifi..:

Radovan Turović ; Dinu Dragan ; Gorana Gojić...
A1: Smart Grids and Microgrids. , 2022

Link: https://doi.org/10.3390/..

15

Comparing the Clinical Viability of Automated Fundus Image ..:

Gojić, Gorana ; Petrović, Veljko B ; Dragan, Dinu...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735987/. , 2022

Link: http://www.ncbi.nlm.nih...