Research output per year
Research output per year
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Dive into the research topics where DACS - Computational Science is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Tony Garnock-Jones
- Faculty of Science and Engineering, DACS - Computational Science - Assistant Professor
- Department of Advanced Computing Sciences - Assistant Professor
Person: Paid Staff - Academic Staff
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Full Integer Arithmetic Online Training for Spiking Neural Networks
Gomez, I. & Tang, G., 2026, Artificial Neural Networks and Machine Learning – ICANN 2025 - 34th International Conference on Artificial Neural Networks, 2025, Proceedings. Senn, W., Sanguineti, M., Saudargiene, A., Tetko, I. V., Villa, A. E. P., Jirsa, V. & Bengio, Y. (eds.). Springer Verlag, Vol. 16068 LNCS. p. 558-569 12 p. (Lecture Notes in Computer Science, Vol. 16068 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding
Rivelli, F., Popov, M., Kouzinopoulos, C. & Tang, G., 15 Apr 2025, IEEE.Research output: Working paper / Preprint › Preprint
Open AccessFile -
Adding Context to Automated Vulnerability Detection for Teaching Software Security
Dorard, A., Küppers, B., Sai, A. R. & Schnitzler, T., 27 Jun 2025, ITiCSE 2025 - Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery, Vol. 2. p. 790 1 p. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Proceedings, Vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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