| Curriculum graph co-teaching for multi-target domain adaptation S Roy, E Krivosheev, Z Zhong, N Sebe, E Ricci Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 64 | 2021 |
| Crowd-based Multi-Predicate Screening of Papers in Literature Reviews E Krivosheev, F Casati, B Benatallah ACM The Web Conference (WWW 2018), 2018 | 28 | 2018 |
| Crowdsourcing Paper Screening in Systematic Literature Reviews E Krivosheev, F Casati, V Caforio, B Benatallah AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), 2017 | 25 | 2017 |
| A review and experimental analysis of active learning over crowdsourced data B Sayin, E Krivosheev, J Yang, A Passerini, F Casati Artificial Intelligence Review 54, 5283-5305, 2021 | 22 | 2021 |
| Combining crowd and machines for multi-predicate item screening E Krivosheev, F Casati, M Baez, B Benatallah Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-18, 2018 | 22 | 2018 |
| Gipso: Geometrically informed propagation for online adaptation in 3d lidar segmentation C Saltori, E Krivosheev, S Lathuiliére, N Sebe, F Galasso, G Fiameni, ... European Conference on Computer Vision, 567-585, 2022 | 19 | 2022 |
| CrowdRev: A platform for Crowd-based Screening of Literature Reviews J Ramirez, E Krivosheev, M Baez, F Casati, B Benatallah ACM Collective Intelligence 2018, 2018 | 15 | 2018 |
| Siamese graph neural networks for data integration E Krivosheev, M Atzeni, K Mirylenka, P Scotton, F Casati arXiv preprint arXiv:2001.06543, 2020 | 14 | 2020 |
| Detecting and preventing confused labels in crowdsourced data E Krivosheev, S Bykau, F Casati, S Prabhakar Proceedings of the VLDB Endowment 13 (12), 2522-2535, 2020 | 12 | 2020 |
| Crowd-powered hybrid classification services: Calibration is all you need B Sayin, E Krivosheev, J Ramírez, F Casati, E Taran, V Malanina, J Yang 2021 IEEE International Conference on Web Services (ICWS), 42-50, 2021 | 6 | 2021 |
| Business entity matching with siamese graph convolutional networks E Krivosheev, M Atzeni, K Mirylenka, P Scotton, C Miksovic, A Zorin Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16054 …, 2021 | 6 | 2021 |
| Active hybrid classification E Krivosheev, F Casati, A Bozzon arXiv preprint arXiv:2101.08854, 2021 | 4 | 2021 |
| Siamese Graph Convolutional Networks for Data Integration E Krivosheev, M Atzeni, K Mirylenka, P Scotton, F Casati European Conference on Machine Learning and Principles and Practice of …, 2021 | 1 | 2021 |
| Active learning from crowd in document screening E Krivosheev, B Sayin, A Bozzon, Z Szlávik arXiv preprint arXiv:2012.02297, 2020 | 1 | 2020 |
| Crowd-Machine Collaboration for Item Screening E Krivosheev, B Harandizadeh, F Casati, B Benatallah ACM The Web Conference (WWW 2018), 2018 | 1 | 2018 |
| Graph Neural Networks for Entity Matching E Krivosheev, K Mirylenka, M Atzeni, P Scotton 2023 IEEE International Conference on Big Data (BigData), 6212-6214, 2023 | | 2023 |
| Crowd and Hybrid Algorithms for Cost-Aware Classification E Krivosheev Universitŕ degli studi di Trento, 2020 | | 2020 |
| Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation (Supplementary Material) S Roy, E Krivosheev, Z Zhong, N Sebe, E Ricci | | |
Fabio CasatiServicenowVerified email at servicenow.com
Fabio CasatiServicenowVerified email at servicenow.com