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ORCIDFabio Ferreira
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2020 – today
- 2024
[j6]Fabio Ferreira
, Hudson Silva Borges, Marco Túlio Valente:
Refactoring react-based Web apps. J. Syst. Softw. 215: 112105 (2024)- [c8]Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka:
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. ICLR 2024 - [i11]Fabio Ferreira, Moreno Schlageter, Raghu Rajan, Andre Biedenkapp, Frank Hutter:
One-shot World Models Using a Transformer Trained on a Synthetic Prior. CoRR abs/2409.14084 (2024) - 2023
- [j5]Fabio Ferreira, Marco Túlio Valente:
Detecting code smells in React-based Web apps. Inf. Softw. Technol. 155: 107111 (2023) - [j4]Raghu Rajan, Jessica Lizeth Borja Diaz, Suresh Guttikonda, Fabio Ferreira, André Biedenkapp, Jan Ole von Hartz, Frank Hutter:
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning. J. Artif. Intell. Res. 77: 821-890 (2023) - [i10]Sebastian Pineda-Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka:
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. CoRR abs/2306.03828 (2023) - [i9]Fabio Ferreira, Ivo Rapant, Frank Hutter:
Hard View Selection for Contrastive Learning. CoRR abs/2310.03940 (2023) - 2022
- [j3]Laerte Xavier, João Eduardo Montandon, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente:
On the documentation of self-admitted technical debt in issues. Empir. Softw. Eng. 27(7): 163 (2022) - [j2]Fabio Ferreira, Hudson Silva Borges, Marco Túlio Valente:
On the (un-)adoption of JavaScript front-end frameworks. Softw. Pract. Exp. 52(4): 947-966 (2022) - [c7]Fabio Ferreira, Thomas Nierhoff, Andreas Sälinger, Frank Hutter:
Learning Synthetic Environments and Reward Networks for Reinforcement Learning. ICLR 2022 - [c6]Ekrem Öztürk, Fabio Ferreira, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter:
Zero-shot AutoML with Pretrained Models. ICML 2022: 17138-17155 - [i8]Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR abs/2201.03801 (2022) - [i7]Fabio Ferreira, Thomas Nierhoff, Andreas Saelinger, Frank Hutter:
Learning Synthetic Environments and Reward Networks for Reinforcement Learning. CoRR abs/2202.02790 (2022) - [i6]Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR abs/2206.08138 (2022) - [i5]Ekrem Öztürk, Fabio Ferreira, Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka, Frank Hutter:
Zero-Shot AutoML with Pretrained Models. CoRR abs/2206.08476 (2022) - [i4]Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter:
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning. CoRR abs/2207.07875 (2022) - 2021
- [j1]Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang:
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3108-3125 (2021) - [c5]Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) 2021: 80-96 - [c4]Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente:
Software engineering meets deep learning: a mapping study. SAC 2021: 1542-1549 - [i3]Fabio Ferreira, Thomas Nierhoff, Frank Hutter:
Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies. CoRR abs/2101.09721 (2021) - 2020
- [c3]Laerte Xavier, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente:
Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems. MSR 2020: 137-146 - [c2]Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente:
Turnover in Open-Source Projects: The Case of Core Developers. SBES 2020: 447-456 - [c1]João Paulo Diniz, Daniel Cruz, Fabio Ferreira, Cleiton Silva Tavares, Eduardo Figueiredo:
GitHub Label Embeddings. SCAM 2020: 249-253 - [i2]Laerte Xavier, Fabio Ferreira, Rodrigo Brito, Marco Túlio Valente:
Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems. CoRR abs/2003.09418 (2020)
2010 – 2019
- 2019
- [i1]Fabio Ferreira, Luciana Lourdes Silva, Marco Túlio Valente:
Software Engineering Meets Deep Learning: A Literature Review. CoRR abs/1909.11436 (2019)
Coauthor Index
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last updated on 2024-10-16 21:26 CEST by the dblp team
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