Software Engineering Meets Deep Learning: A Literature Review. - Fabio Ferreira; Luciana Lourdes Silva; Marco Túlio Valente (CoRR, 2019)

Beyond the Code: Mining Self-Admitted Technical Debt in Issue Tracker Systems. - Laerte Xavier; Fabio Ferreira; Rodrigo Brito; Marco Túlio Valente (MSR, 2020)

Turnover in Open-Source Projects: The Case of Core Developers. - Fabio Ferreira; Luciana Lourdes Silva; Marco Túlio Valente (SBES, 2020)

GitHub Label Embeddings. - João Paulo Diniz; Daniel Cruz; Fabio Ferreira; Cleiton Silva Tavares; Eduardo Figueiredo 001 (SCAM, 2020)

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. - Adrian El Baz; Ihsan Ullah; Edesio Alcobaça; André C. P. L. F. de Carvalho; Hong Chen 011; Fabio Ferreira; Henry Gouk; Chaoyu Guan; Isabelle Guyon; Timothy M. Hospedales; Shell Hu; Mike Huisman; et al. (NeurIPS (Competition and Demos), 2021)

Software engineering meets deep learning: a mapping study. - Fabio Ferreira; Luciana Lourdes Silva; Marco Túlio Valente (SAC, 2021)

Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies. - Fabio Ferreira; Thomas Nierhoff; Frank Hutter (CoRR, 2021)

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. - Zhengying Liu; Adrien Pavao; Zhen Xu 007; Sergio Escalera; Fabio Ferreira; Isabelle Guyon; Sirui Hong; Frank Hutter; Rongrong Ji; Júlio C. S. Jacques Júnior; Ge Li; Marius Lindauer; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning Synthetic Environments and Reward Networks for Reinforcement Learning. - Fabio Ferreira; Thomas Nierhoff; Andreas Sälinger; Frank Hutter (ICLR, 2022)

Zero-shot AutoML with Pretrained Models. - Ekrem Öztürk; Fabio Ferreira; Hadi S. Jomaa; Lars Schmidt-Thieme; Josif Grabocka; Frank Hutter (ICML, 2022)

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. - Adrian El Baz; André C. P. L. F. de Carvalho; Hong Chen 011; Fabio Ferreira; Henry Gouk; Shell Hu; Frank Hutter; Zhengying Liu; Felix Mohr; Jan N. van Rijn; Xin Wang 019; Isabelle Guyon (CoRR, 2022)

On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning. - Diane Wagner; Fabio Ferreira; Danny Stoll; Robin Tibor Schirrmeister; Samuel Müller 005; Frank Hutter (CoRR, 2022)

On the documentation of self-admitted technical debt in issues. - Laerte Xavier; João Eduardo Montandon; Fabio Ferreira; Rodrigo Brito; Marco Túlio Valente (Empir. Softw. Eng., 2022)

On the (un-)adoption of JavaScript front-end frameworks. - Fabio Ferreira; Hudson Silva Borges; Marco Túlio Valente (Softw. Pract. Exp., 2022)

Hard View Selection for Contrastive Learning. - Fabio Ferreira; Ivo Rapant; Frank Hutter (CoRR, 2023)

Detecting code smells in React-based Web apps. - Fabio Ferreira; Marco Túlio Valente (Inf. Softw. Technol., 2023)

MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning. - Raghu Rajan; Jessica Lizeth Borja Diaz; Suresh Guttikonda; Fabio Ferreira; André Biedenkapp; Jan Ole von Hartz; Frank Hutter (J. Artif. Intell. Res., 2023)

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How. - Sebastian Pineda-Arango; Fabio Ferreira; Arlind Kadra; Frank Hutter; Josif Grabocka (ICLR, 2024)

One-shot World Models Using a Transformer Trained on a Synthetic Prior. - Fabio Ferreira; Moreno Schlageter; Raghu Rajan; Andre Biedenkapp; Frank Hutter (CoRR, 2024)

Transfer Learning for Finetuning Large Language Models. - Tobias Strangmann; Lennart Purucker; Jörg K. H. Franke; Ivo Rapant; Fabio Ferreira; Frank Hutter (CoRR, 2024)

Refactoring react-based Web apps. - Fabio Ferreira; Hudson Silva Borges; Marco Túlio Valente (J. Syst. Softw., 2024)

Beyond Random Augmentations: Pretraining with Hard Views. - Fabio Ferreira; Ivo Rapant; Jörg K. H. Franke; Frank Hutter (ICLR, 2025)

Detection of code smells in react with TypeScript applications. - Maykon Nunes; Carla I. M. Bezerra; Fabio Ferreira; Bruno Gois Mateus; Marco Túlio Valente (Inf. Softw. Technol., 2025)

Improving LLM-based Global Optimization with Search Space Partitioning. - Andrej Schwanke; Lyubomir Ivanov; David Salinas; Fabio Ferreira; Aaron Klein; Frank Hutter; Arber Zela (CoRR, 2025)

Meta-Learning and Synthetic Data for Automated Pretraining and Finetuning. - Fabio Ferreira (CoRR, 2025)