-
1تقرير
المؤلفون: Sweere, Sam F., Valtchanov, Ivan, Lieu, Maggie, Vojtekova, Antonia, Verdugo, Eva, Santos-Lleo, Maria, Pacaud, Florian, Briassouli, Alexia, Pérez, Daniel Cámpora
مصطلحات موضوعية: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
الوصول الحر: http://arxiv.org/abs/2205.01152Test
-
2دورية أكاديمية
المؤلفون: Rattanaphan, Singharat, Briassouli, Alexia
المصدر: Rattanaphan , S & Briassouli , A 2024 , ' Evaluating Generalization, Bias, and Fairness in Deep Learning for Metal Surface Defect Detection : A Comparative Study ' , Processes , vol. 12 , no. 3 , 456 . https://doi.org/10.3390/pr12030456Test
مصطلحات موضوعية: deep learning, fairness, bias, generalizability, computer vision, explainability, industrial defect detection, metal sheet defect detection, YOLO
العلاقة: https://cris.maastrichtuniversity.nl/en/publications/7865e2fc-87a5-4646-a880-a916e2cc5bb6Test
الإتاحة: https://doi.org/10.3390/pr12030456Test
https://cris.maastrichtuniversity.nl/en/publications/7865e2fc-87a5-4646-a880-a916e2cc5bb6Test -
3تقرير
المؤلفون: Karakostas, Anastasios, Briassouli, Alexia, Avgerinakis, Konstantinos, Kompatsiaris, Ioannis, Tsolaki, Magda
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition
الوصول الحر: http://arxiv.org/abs/1701.01142Test
-
4دورية أكاديمية
المؤلفون: Rattanaphan, Singharat, Briassouli, Alexia
المصدر: Processes; Mar2024, Vol. 12 Issue 3, p456, 32p
مصطلحات موضوعية: METAL defects, METALLIC surfaces, DEEP learning, SURFACE defects, FAIRNESS
-
5دورية أكاديمية
المؤلفون: Ohnemuhller, Laurenz, Briassouli, Alexia
المصدر: Ohnemuhller , L & Briassouli , A 2021 , Improving accuracy and efficiency in plant detection on a novel, benchmarking real-world dataset . in 2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) . IEEE Xplore , pp. 172-176 , 2021 IEEE International Workshop on Metrology for Agriculture and Forestry , Trento-Bolzano , Italy , 3/11/21 . https://doi.org/10.1109/MetroAgriFor52389.2021.9628717Test
مصطلحات موضوعية: precision farming, object detection, transfer learning, YOLO, plant classification
وصف الملف: application/pdf
الإتاحة: https://doi.org/10.1109/MetroAgriFor52389.2021.9628717Test
https://cris.maastrichtuniversity.nl/en/publications/f62c0d00-056b-46cf-a291-9a65c287910bTest
https://cris.maastrichtuniversity.nl/ws/files/92326119/Briassouli_2021_Improving_accuracy_and_efficiency_in.pdfTest -
6مؤتمر
المؤلفون: Debnath, Leon, Briassouli, Alexia, Popa, Mirela
المصدر: Debnath , L , Briassouli , A & Popa , M 2023 , ' Proportional Search Space Reduction: Proportional Search Space Reduction: A Novel Metric for Cross-View Image Geo-Location ' , Paper presented at BNAIC/BeNeLearn 2023 , Delft , Netherlands , 8/11/23 - 10/11/23 pp. 1-13 . < https://bnaic2023.tudelft.nl/static/media/BNAICBENELEARN_2023_paper_59.2bb6d7f48e5441349d07.pdfTest >
العلاقة: https://cris.maastrichtuniversity.nl/en/publications/93d7763a-d0e3-4d11-a15c-5c7e66cc380aTest
-
7دورية أكاديمية
المؤلفون: Montulet, Rico, Briassouli, Alexia
المساهمون: Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J., Vezzani, R.
المصدر: Montulet , R & Briassouli , A 2020 , Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection . in A Del Bimbo , R Cucchiara , S Sclaroff , G M Farinella , T Mei , M Bertini , H J Escalante & R Vezzani (eds) , Pattern Recognition. ICPR International Workshops and Challenges : Virtual Event, January 10-15, 2021, Part IV . 1 edn , Springer, Cham , Cham , Lecture Notes in Computer Science , vol. 12664 , pp. 5-19 , 25th International Conference on Pattern Recognition , Milan , Italy , 10/01/21 . https://doi.org/10.1007/978-3-030-68799-1_1Test
وصف الملف: application/pdf
الإتاحة: https://doi.org/10.1007/978-3-030-68799-1_1Test
https://cris.maastrichtuniversity.nl/en/publications/c6e7f186-8fe1-48d6-9aec-954839cec1fdTest
https://cris.maastrichtuniversity.nl/ws/files/79725970/Briassouli_2020_Densely_annotated_photorealistic_virtual_dataset.pdfTest -
8دورية أكاديمية
المؤلفون: Alvanitopoulos, Petros, Diplaris, Sotiris, de Gelder, Beatrice, Shvets, Alexander, Benayoun, Maurice, Koulali, Panagiota, Moghnieh, Ayman, Shekhawat, Yash, Stentoumis, Christos, Hosmer, Tyson, Anadol, Refik, Borreguero, Marta, Martin, Alejandro, Sciama, Piera, Avgerinakis, Kostas, Petrantonakis, Panagiotis, Briassouli, Alexia, Mille, Simon, Tellios, Anastasios, Fraguada, Luis, Sprengel, Holger, Kalisperakis, Ilias, Cabanas, Nestor, Nikolopoulos, Spiridon, Skouras, Stavros, Vogler, Verena, Zavraka, Despoina, Piesk, Jens, Grammatikopoulos, Lazaros, Wanner, Leo, Klein, Tobias, Vrochidis, Stefanos, Kompatsiaris, Ioannis
المصدر: Alvanitopoulos , P , Diplaris , S , de Gelder , B , Shvets , A , Benayoun , M , Koulali , P , Moghnieh , A , Shekhawat , Y , Stentoumis , C , Hosmer , T , Anadol , R , Borreguero , M , Martin , A , Sciama , P , Avgerinakis , K , Petrantonakis , P , Briassouli , A , Mille , S , Tellios , A , Fraguada , L , Sprengel , H , Kalisperakis , I , Cabanas , N , Nikolopoulos , S , Skouras , ....
مصطلحات موضوعية: Virtual Reality (VR), Visual Behavior Analysis, 3D reconstruction, Emotion extraction, Style transfer, Text Analysis
وصف الملف: application/pdf
العلاقة: https://cris.maastrichtuniversity.nl/en/publications/08a7fcf3-ccff-46f9-8aad-76c6a5f89d97Test
الإتاحة: https://doi.org/10.55630/dipp.2019.9.43Test
https://cris.maastrichtuniversity.nl/en/publications/08a7fcf3-ccff-46f9-8aad-76c6a5f89d97Test
https://cris.maastrichtuniversity.nl/ws/files/79732902/Briassouli_2019_MindSpaces_Art_driven_adaptive_outdoors_and.pdfTest -
9دورية أكاديمية
المؤلفون: Montulet, Rico, Briassouli, Alexia
المصدر: Montulet , R & Briassouli , A 2019 , Deep Learning for Robust end-to-end Tone Mapping . in British Machine Vision Conference Proceedings . < https://bmvc2019.org/programme/detailed-programmeTest/ >
وصف الملف: application/pdf
-
10مؤتمر
المؤلفون: Rustemeyer, Felix, Barrott, Julia, Fielding, Matthew, Wickenden, Adam, Hugelius, Gustaf, Briassouli, Alexia
المصدر: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
الإتاحة: https://doi.org/10.1109/igarss46834.2022.9884869Test
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884869.pdf?arnumber=9884869Test
