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Results: 4
Number of items: 4
  • Open Access
    Kirkeby, M., de Reus, P., Oprescu, A.-M., Pronk, K., Zhao, Q., Castor, F., & Fernandes, J. P. (2026). Bridging the gap between industry and academia: Sustainability in LLM-assisted software engineering. In GREENS 2026 : 2026 IEEE/ACM 10th International Workshop on Green and Sustainable Software: 12-18 April 2026, Rio de Janeiro, Brazil : proceedings (pp. 153-157). Association for Computing Machinery. https://doi.org/10.1145/3786148.3788638
  • Open Access
    de Reus, P., Dresen, K., Oprescu, A., Irion, K., & Kolk, A. (2024). An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2410.00069
  • Open Access
    Zemanek, V., Hu, Y., de Reus, P., Oprescu, A., & Malavolta, I. (2024). Exploring the Impact of K-Anonymisation on the Energy Efficiency of Machine Learning Algorithms. In 2024 10th International Conference on ICT for Sustainability: ICT4S 2024 : 24-28 June 2024, Stockholm, Sweden : proceedings (pp. 128-137). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/ict4s64576.2024.00022
  • de Reus, P., Oprescu, A., & van Elsen, K. (2023). Energy Cost and Machine Learning Accuracy Impact of k-Anonymisation and Synthetic Data Techniques. In 2023 International Conference on ICT for Sustainability: ICT4S 2023 : 5-9 June 2023, Rennes, France : proceedings (pp. 57-65). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/ICT4S58814.2023.00015
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