| Performance measures for classification systems with rejection F Condessa, J Kovacevic, J Bioucas-Dias Pattern Recognition 63, 437-450, 2017 | 50 | 2017 |
| Defending multimodal fusion models against single-source adversaries K Yang, WY Lin, M Barman, F Condessa, Z Kolter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 35 | 2021 |
| Alternating direction optimization for image segmentation using hidden Markov measure field models J Bioucas-Dias, F Condessa, J Kovačević Image Processing: Algorithms and Systems XII 9019, 193-207, 2014 | 27 | 2014 |
| Classification with reject option using contextual information F Condessa, J Bioucas-Dias, CA Castro, JA Ozolek, J Kovačević 2013 IEEE 10th international symposium on biomedical imaging, 1340-1343, 2013 | 26 | 2013 |
| Segmentation and detection of colorectal polyps using local polynomial approximation F Condessa, J Bioucas-Dias Image Analysis and Recognition: 9th International Conference, ICIAR 2012 …, 2012 | 26 | 2012 |
| Supervised hyperspectral image classification with rejection F Condessa, J Bioucas-Dias, J Kovacevic Selected Topics in Applied Earth Observations and Remote Sensing, IEEE …, 2016 | 18 | 2016 |
| Convex formulation for multiband image classification with superpixel-based spatial regularization Y Liu, F Condessa, JM Bioucas-Dias, J Li, P Du, A Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (5), 2704-2721, 2018 | 14 | 2018 |
| Supervised hyperspectral image segmentation: a convex formulation using hidden fields F Condessa, J Bioucas-Dias, J Kovacevic IEEE GRSS Workshop Hyperspectral Image Signal Process: Evol. Remote Sens …, 2014 | 10 | 2014 |
| Robust hyperspectral image classification with rejection fields F Condessa, J Bioucas-Dias, J Kovacevic IEEE GRSS Workshop Hyperspectral Image Signal Process: Evol. Remote Sens …, 2015 | 7 | 2015 |
| Development and validation of an automated classifier to diagnose acute otitis media in children N Shaikh, SJ Conway, J Kovačević, F Condessa, TR Shope, MA Haralam, ... JAMA pediatrics 178 (4), 401-407, 2024 | 6 | 2024 |
| Image classification with rejection using contextual information F Condessa, J Bioucas-Dias, C Castro, J Ozolek, J Kovačević arXiv preprint arXiv:1509.01287, 2015 | 6 | 2015 |
| Method and system for breaking backdoored classifiers through adversarial examples SUN Mingjie, J Kolter, FJC CONDESSA US Patent App. 17/035,173, 2022 | 5 | 2022 |
| Convex formulation for hyperspectral image classification with superpixels Y Liu, F Condessa, J Bioucas-Dias, J Li, A Plaza 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 5 | 2016 |
| Detection and classification of human colorectal polyps FJC Condessa ST, Lisbon, Portugal, 2011 | 5 | 2011 |
| Leveraging foundation models to improve lightweight clients in federated learning X Wu, WY Lin, D Willmott, F Condessa, Y Huang, Z Li, MR Ganesh arXiv preprint arXiv:2311.08479, 2023 | 4 | 2023 |
| Provably robust deep generative models F Condessa, Z Kolter arXiv preprint arXiv:2004.10608, 2020 | 4 | 2020 |
| SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization F Condessa, J Bioucas-Dias, J Kovacevic IEEE GRSS Workshop Hyperspectral Image Signal Process: Evol. Remote Sens …, 2015 | 4 | 2015 |
| You only query once: Effective black box adversarial attacks with minimal repeated queries D Willmott, AK Sahu, F Sheikholeslami, F Condessa, Z Kolter arXiv preprint arXiv:2102.00029, 2021 | 3 | 2021 |
| System and method for detecting an adversarial attack FJC Condessa US Patent 11,657,153, 2023 | 2 | 2023 |
| Method and system for low-query black-box universal attacks DT Willmott, AK Sahu, F Sheikholeslami, FJC CONDESSA, J KOLTER US Patent App. 17/107,415, 2022 | 2 | 2022 |
José M. Bioucas DiasInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, PortugalE-mail confirmado em lx.it.pt
