| Bagan: Data augmentation with balancing gan G Mariani, F Scheidegger, R Istrate, C Bekas, C Malossi arXiv preprint arXiv:1803.09655, 2018 | 419 | 2018 |
| Tapas: Train-less accuracy predictor for architecture search R Istrate, F Scheidegger, G Mariani, D Nikolopoulos, C Bekas, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 3927-3934, 2019 | 75 | 2019 |
| Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy F Scheidegger, R Istrate, G Mariani, L Benini, C Bekas, C Malossi The Visual Computer 37 (6), 1593-1610, 2021 | 51 | 2021 |
| FloatX: A C++ Library for Customized Floating-Point Arithmetic G Flegar, F Scheidegger, V Novaković, G Mariani, AE Tomás, ACI Malossi, ... ACM Transactions on Mathematical Software (TOMS) 45 (4), 1-23, 2019 | 29 | 2019 |
| Bagan: Data augmentation with balancing gan. arXiv 2018 G Mariani, F Scheidegger, R Istrate, C Bekas, C Malossi arXiv preprint arXiv:1803.09655, 0 | 28 | |
| Pagan: Portfolio analysis with generative adversarial networks G Mariani, Y Zhu, J Li, F Scheidegger, R Istrate, C Bekas, ACI Malossi arXiv preprint arXiv:1909.10578, 2019 | 19 | 2019 |
| Constrained deep neural network architecture search for IoT devices accounting for hardware calibration F Scheidegger, L Benini, C Bekas, ACI Malossi Advances in Neural Information Processing Systems 32, 2019 | 18 | 2019 |
| MAEDAY: MAE for few-and zero-shot AnomalY-Detection E Schwartz, A Arbelle, L Karlinsky, S Harary, F Scheidegger, S Doveh, ... Computer Vision and Image Understanding 241, 103958, 2024 | 15 | 2024 |
| BAGAN: Data Augmentation with Balancing GAN. 2018 G Mariani, F Scheidegger, R Istrate, C Bekas, C Malossi arXiv preprint arXiv:1803.09655, 1803 | 14 | 1803 |
| torcpy: Supporting task parallelism in Python PE Hadjidoukas, A Bartezzaghi, F Scheidegger, R Istrate, C Bekas, ... SoftwareX 12, 100517, 2020 | 13 | 2020 |
| Creating optimized machine-learning models G Thomas, ACI Malossi, T Pedapati, G Venkataraman, R Istrate, ... US Patent App. 16/216,138, 2020 | 12 | 2020 |
| Neunets: An automated synthesis engine for neural network design A Sood, B Elder, B Herta, C Xue, C Bekas, ACI Malossi, D Saha, ... arXiv preprint arXiv:1901.06261, 2019 | 12 | 2019 |
| Towards edge-aware spatio-temporal filtering in real-time M Schaffner, F Scheidegger, L Cavigelli, H Kaeslin, L Benini, A Smolic IEEE Transactions on Image Processing 27 (1), 265-280, 2017 | 12 | 2017 |
| High-efficiency logarithmic number unit design based on an improved cotransformation scheme Y Popoff, F Scheidegger, M Schaffner, M Gautschi, FK Gürkaynak, ... 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2016 | 12 | 2016 |
| Impact of temporal subsampling on accuracy and performance in practical video classification F Scheidegger, L Cavigelli, M Schaffner, ACI Malossi, C Bekas, L Benini 2017 25th European Signal Processing Conference (EUSIPCO), 996-1000, 2017 | 11 | 2017 |
| Automatic determination of cognitive models for deployment at computerized devices having various hardware constraints FM Scheidegger, R Istrate, G Mariani, K Bekas, ACI Malossi US Patent 11,210,578, 2021 | 8 | 2021 |
| Edge-aware spatio-temporal filtering and optical flow estimation in real time TO Aydin, FM Scheidegger, MSF Schaffner, L Cavigelli, L Benini, ... US Patent 10,547,871, 2020 | 8 | 2020 |
| High-performance GPU implementation of PageRank with reduced precision based on mantissa segmentation T Grützmacher, H Anzt, F Scheidegger, ES Quintana-Orti 2018 IEEE/ACM 8th Workshop on Irregular Applications: Architectures and …, 2018 | 5 | 2018 |
| Generating Efficient DNN-Ensembles with Evolutionary Computation M Ortiz, F Scheidegger, M Casas, C Malossi, E Ayguadé arXiv preprint arXiv:2009.08698, 2020 | 2 | 2020 |
| Hydra: An accelerator for real-time edge-aware permeability filtering in 65nm cmos M Eggimann, C Gloor, F Scheidegger, L Cavigelli, M Schaffner, A Smolic, ... 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 2 | 2018 |
