| A design space exploration framework for convolutional neural networks implemented on edge devices F Tsimpourlas, L Papadopoulos, A Bartsokas, D Soudris IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 37 | 2018 |
| Supervised learning over test executions as a test oracle F Tsimpourlas, A Rajan, M Allamanis Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1521-1531, 2021 | 24* | 2021 |
| Embedding and classifying test execution traces using neural networks F Tsimpourlas, G Rooijackers, A Rajan, M Allamanis IET Software 16 (3), 301-316, 2022 | 11 | 2022 |
| BenchPress: A Deep Active Benchmark Generator F Tsimpourlas, P Petoumenos, M Xu, C Cummins, K Hazelwood, A Rajan, ... PACT 2022, 2022 | 4 | 2022 |
| Benchdirect: A directed language model for compiler benchmarks F Tsimpourlas, P Petoumenos, M Xu, C Cummins, K Hazelwood, A Rajan, ... arXiv preprint arXiv:2303.01557, 2023 | 2 | 2023 |
| Deep language models for software testing and optimisation F Tsimpourlas The University of Edinburgh, 2023 | | 2023 |
| Resource Μanagement Techniques for Embedded Architectures executing Deep Neural Networks F Tsimpourlas National Technical University of Athens (NTUA), 2018 | | 2018 |
| AITrace: A Deep Learning Recommender for Museum Visitors F Tsimpourlas ΑΝΑΔΥΟΜΕΝΕΣ ΤΕΧΝΟΛΟΓΙΕΣ, ΨΗΦΙΑΚΕΣ ΤΕΧΝΕΣ, 34, 0 | | |
Ajitha RajanUniversity of EdinburghVerified email at staffmail.ed.ac.uk
