| The Noise Blowing-Up Strategy Creates High-Quality, High-Resolution Adversarial Images against Convolutional Neural Networks AO Topal, E Mancellari, F Leprévost, E Avdusinovic, T Gillet Applied Sciences 14 (8), 3493, 2024 | | 2024 |
| Zone-of-Interest Strategy for the Creation of High-Resolution Adversarial Images Against Convolutional Neural Networks F Leprévost, AO Topal, E Mancellari, K Lavangnananda 2023 15th International Conference on Information Technology and Electrical …, 2023 | | 2023 |
| One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition AO Topal, R Chitic, F Leprévost Applied Soft Computing 143, 110397, 2023 | 14 | 2023 |
| Creating High-Resolution Adversarial Images Against Convolutional Neural Networks with the Noise Blowing-Up Method F Leprévost, AO Topal, E Mancellari Asian Conference on Intelligent Information and Database Systems, 121-134, 2023 | 2 | 2023 |
| ShuffleDetect: Detecting Adversarial Images against Convolutional Neural Networks R Chitic, AO Topal, F Leprévost Applied Sciences 13 (6), 4068, 2023 | 1 | 2023 |
| A strategy creating high-resolution adversarial images against convolutional neural networks and a feasibility study on 10 CNNs F Leprévost, AO Topal, E Avdusinovic, R Chitic Journal of Information and Telecommunication 7 (1), 89-119, 2023 | 2 | 2023 |
| Strategy and feasibility study for the construction of high resolution images adversarial against convolutional neural networks F Leprévost, AO Topal, E Avdusinovic, R Chitic Asian Conference on Intelligent Information and Database Systems, 285-298, 2022 | 3 | 2022 |
| Empirical Perturbation Analysis of Two Adversarial Attacks: Black Box versus White Box R Chitic, AO Topal, F Leprévost Applied Sciences 12 (14), 7339, 2022 | 1 | 2022 |
| Cognitive Health Reflection to Keto Diet Attitude with Machine Learning Clustering G Imeraj, E Muka, M Ali, AO Topal, M Zenuni, K Marçinaj 2021 International Conference on Computing, Networking, Telecommunications …, 2021 | | 2021 |
| Evolutionary algorithm-based images, humanly indistinguishable and adversarial against convolutional neural networks: efficiency and filter robustness R Chitic, AO Topal, F Leprévost IEEE Access 9, 160758-160778, 2021 | 3 | 2021 |
| Basis of image analysis for evaluating cell biomaterial interaction using brightfield microscopy A Uka, A Ndreu Halili, X Polisi, AO Topal, G Imeraj, NE Vrana Cells Tissues Organs 210 (2), 77-104, 2021 | 11 | 2021 |
| Discovering critical proteins in the learning process in a Down Syndrome model of mouse through machine learning X Polisi, AO Topal, A Uka | 1 | 2021 |
| Emotion recognition based on facial expressions using convolutional neural network (CNN) S Begaj, AO Topal, M Ali 2020 International conference on computing, networking, telecommunications …, 2020 | 23 | 2020 |
| Threat object detection in x-ray images using SSD, r-FCN and faster r-CNN J Koçi, AO Topal, M Ali 2020 International Conference on Computing, Networking, Telecommunications …, 2020 | 7 | 2020 |
| Dynamic Virtual Bats Algorithm AO Topal Swarm Intelligence Algorithms, 121-134, 2020 | | 2020 |
| Dynamic Virtual Bats Algorithm TA Osman Swarm Intelligence Algorithms, 121-134, 2020 | | 2020 |
| Improved Dynamic Virtual Bats Algorithm for Identifying a Suspension System Parameters AO Topal Swarm Intelligence Algorithms (Two Volume Set), 133, 2020 | | 2020 |
| Detailed analysis of iris recognition performance O Koç, L Tosku, J Hoxha, AO Topal, M Ali, A Uka 2019 International Conference on Computing, Electronics & Communications …, 2019 | 6 | 2019 |
| Large scale continuous global optimization based on micro differential evolution with local directional search YE Yildiz, AO Topal Information Sciences 477, 533-544, 2019 | 27 | 2019 |
| Dynamic virtual bats algorithm with probabilistic selection restart technique AO Topal, YE Yildiz, M Ozkul Transactions on Engineering Technologies: World Congress on Engineering and …, 2019 | 3 | 2019 |
Oğuz AltunYıldız Technical UniversityVerified email at yildiz.edu.tr
