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Matsuura, M., Boyer, M., Arendt, R. G., Larsson, J., Fransson, C., Rest, A., Ravi, A. P., Park, S., Cigan, P., Temim, T., Dwek, E., Barlow, M. J., Bouchet, P., Clayton, G., Chevalier, R., Danziger, J., De Buizer, J., De Looze, I., De Marchi, G., ... Burrows, D. (2024). Deep JWST/NIRCam imaging of Supernova 1987A. Monthly Notices of the Royal Astronomical Society, 532(4), 3625-3642. https://doi.org/10.1093/mnras/stae1032 -
Grafberger, S., Groth, P., & Schelter, S. (2024). Towards Interactively Improving ML Data Preparation Code via “Shadow Pipelines”. In Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM): in conjunction with the 2024 ACM SIGMOD/PODS Conference, Santiago, Chile (pp. 7–11). The Association for Computing Machinery. https://doi.org/10.1145/3650203.3663327 -
Krasakis, A. M., Yates, A., & Kanoulas, E. (2024). Contextualizing and Expanding Conversational Queries without Supervision. ACM Transactions on Information Systems, 42(3), Article 77. https://doi.org/10.1145/3632622 -
Berger, U., Bell, A., Barton, C. M., Chappin, E., Dreßler, G., Filatova, T., Fronville, T., Lee, A., van Loon, E., Lorscheid, I., Meyer, M., Müller, B., Piou, C., Radchuk, V., Roxburgh, N., Schüler, L., Troost, C., Wijermans, N., Williams, T. G., ... Grimm, V. (2024). Towards reusable building blocks for agent-based modelling and theory development. Environmental Modelling & Software, 175, Article 106003. https://doi.org/10.1016/j.envsoft.2024.106003 -
Groen, I. I. A., Brands, A., Piantoni, G., Montenegro, S., Flinker, A., Devore, S., Devinsky, O., Doyle, W., Dugan, P., Friedman, D., Ramsey, N., Petridou, N., & Winawer, J. (2024). Delayed divisive normalisation accounts for a wide range of temporal dynamics of neural responses in human visual cortex. Journal of Vision, 24(10), Article 218. https://doi.org/10.1167/jov.24.10.218 -
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 -
Tello, A., Degeler, V., & Lazovik, A. (2024). Too Good To Be True: accuracy overestimation in (re)current practices for Human Activity Recognition. In 2024 IEEE International Conference on Pervasive Computing and Communications workshops and other affiliated events (PerCom workshops 2024) : Biarritz, France, 11-15 March 2024 (pp. 511-517). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10503465 -
Egorov, E., Valperga, R., & Gavves, E. (2024). Ai-sampler: Adversarial Learning of Markov kernels with involutive maps. Proceedings of Machine Learning Research, 235, 12304-12317. https://proceedings.mlr.press/v235/egorov24a.html -
Bangale, P., Bhattacharyya, B., Camilo, F., Clark, C. J., Cognard, I., DeCesar, M. E., Ferrara, E. C., Gentile, P., Guillemot, L., Hessels, J. W. T., Johnson, T. J., Kerr, M., McLaughlin, M. A., Nieder, L., Ransom, S. M., Ray, P. S., Roberts, M. S. E., Roy, J., Sanpa-Arsa, S., ... Wolff, M. T. (2024). A 350 MHz Green Bank Telescope Survey of Unassociated Fermi LAT Sources: Discovery and Timing of 10 Millisecond Pulsars. Astrophysical Journal, 966(2), Article 161. https://doi.org/10.3847/1538-4357/ad2994
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