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research_group:publications [2023/04/16 23:28]
abrodzicki
research_group:publications [2023/12/27 22:09] (current)
macal
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   * [[https://​bpp.agh.edu.pl/​autor/​piekarski-michal-43242|Michał Piekarski]]   * [[https://​bpp.agh.edu.pl/​autor/​piekarski-michal-43242|Michał Piekarski]]
  
-MVG Group IF: 25.7\\+MVG Group IF: 25.7\\ ​FIXME zaktualizować 
 + 
 +===== 2023 ===== 
 +  * **Aleksandrowicz M.** and **Jaworek-Korjakowska J.**: //Metrics for Assessing Generalization of Deep Reinforcement Learning in Parameterized Environments//,​ Journal of Artificial Intelligence and Soft Computing Research, 2023, **IF 2,8, 140 pkt**, [[https://​doi.org/​10.2478/​jaiscr-2024-0003|10.2478/​jaiscr-2024-0003]],​ [[https://​github.com/​macmacal/​drl_generalization_metrics| GitHub repo]].
  
 ===== 2022 ===== ===== 2022 =====
  
-  * Cassidy B., Kendrick C., **Brodzicki A.**, **Jaworek-Korjakowska J.**, Hoon Yap M.: Analysis of the ISIC image datasets: usage, benchmarks and recommendations,​ Medical Image Analysis, 2022, IF 8.545, 200 pkt+  * Cassidy B., Kendrick C., **Brodzicki A.**, **Jaworek-Korjakowska J.**, Hoon Yap M.: Analysis of the ISIC image datasets: usage, benchmarks and recommendations,​ Medical Image Analysis, 2022, **IF 8.545, 200 pkt**
  
-  * Wójcicka A., Walusiak Ł., Mroczka K., Jaworek-Korjakowska J., Oprzędkiewicz K., Wróbel Z.: The object segmentation from the microstructure of a FSW dissimilar weld, Materials, 2022, IF 3,748, 140+  ​* **Wójcicka A.**, Walusiak Ł., Mroczka K., **Jaworek-Korjakowska J.**, Oprzędkiewicz K., Wróbel Z.: The object segmentation from the microstructure of a FSW dissimilar weld, Materials, 2022, **IF 3,748, 140 pkt**
  
-  * Brodzicki A., Kucharski D., Piekarski M., Kostuch A., Jaworek-Korjakowska J.: Deep neural network interpretability methods for supervised and unsupervised problems, PP-RAI'​2022:​ proceedings of the 3rd Polish conference on Artificial intelligence,​ 2022+  ​* **Brodzicki A.****Kucharski D.****Piekarski M.****Kostuch A.****Jaworek-Korjakowska J.**: Deep neural network interpretability methods for supervised and unsupervised problems, PP-RAI'​2022:​ proceedings of the 3rd Polish conference on Artificial intelligence,​ 2022
  
   * Gorgoń M., et al.: Systemy wizyjne w zastosowaniach przemysłowych,​ Nauka – technika – technologia : seria wydawnicza AGH, 2022   * Gorgoń M., et al.: Systemy wizyjne w zastosowaniach przemysłowych,​ Nauka – technika – technologia : seria wydawnicza AGH, 2022
  
-  * Piekarski M.: Deep Neural Network for Beam Profile Classification in Synchrotron,​ International Beam Instrumentation Conference, 2022+  ​* **Piekarski M.**: Deep Neural Network for Beam Profile Classification in Synchrotron,​ International Beam Instrumentation Conference, 2022
  
-  * Kucharski D., Kostuch A., Brodzicki A., Noworolnik F., Jaworek-Korjakowska J.: DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection, Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022+  ​* **Kucharski D.****Kostuch A.****Brodzicki A.****Noworolnik F.****Jaworek-Korjakowska J.**: DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection, Proceedings of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
  
-  * Jaworek-Korjakowska,​ J., Wójcicka A., Kucharski D., Brodzicki A., Kendrick C., Cassidy B., Hoon Yap M.: Skin_Hair dataset: Setting the benchmark for effective hair inpainting methods for improving the image quality of dermoscopic images, Proceedings of the 2022 European Conference on Computer Vision (ECCV), 2022+  ​* **Jaworek-Korjakowska,​ J.****Wójcicka A.****Kucharski D.****Brodzicki A.**, Kendrick C., Cassidy B., Hoon Yap M.: Skin_Hair dataset: Setting the benchmark for effective hair inpainting methods for improving the image quality of dermoscopic images, Proceedings of the 2022 European Conference on Computer Vision (ECCV), 2022
  
  
research_group/publications.1681680539.txt.gz · Last modified: 2023/04/16 23:28 by abrodzicki