| Detecting, tracking and counting people getting on/off a metropolitan train using a standard video camera SA Velastin, R Fernández, JE Espinosa, A Bay Sensors 20 (21), 6251, 2020 | 39 | 2020 |
| Block-sparsity-based localization in wireless sensor networks A Bay, D Carrera, SM Fosson, P Fragneto, M Grella, C Ravazzi, E Magli EURASIP Journal on Wireless Communications and Networking 2015, 1-15, 2015 | 23 | 2015 |
| Convolutional recurrent predictor: Implicit representation for multi-target filtering and tracking M Emambakhsh, A Bay, E Vazquez IEEE Transactions on Signal Processing 67 (17), 4545-4555, 2019 | 10 | 2019 |
| Approximating meta-heuristics with homotopic recurrent neural networks A Bay, B Sengupta arXiv preprint arXiv:1709.02194, 2017 | 10 | 2017 |
| Assessing the importance of colours for cnns in object recognition A Singh, A Bay, A Mirabile arXiv preprint arXiv:2012.06917, 2020 | 8 | 2020 |
| Deep recurrent neural network for multi-target filtering M Emambakhsh, A Bay, E Vazquez MultiMedia Modeling: 25th International Conference, MMM 2019, Thessaloniki …, 2019 | 7 | 2019 |
| Geoseq2seq: Information geometric sequence-to-sequence networks A Bay, B Sengupta arXiv preprint arXiv:1710.09363, 2017 | 6 | 2017 |
| StackSeq2Seq: Dual Encoder Seq2Seq Recurrent Networks A Bay, B Sengupta arXiv preprint arXiv:1710.04211, 2017 | 6 | 2017 |
| On the dark side of calibration for modern neural networks A Singh, A Bay, B Sengupta, A Mirabile ICML Workshop on Uncertainty and Robustness in Deep Learning, 2021 | 5 | 2021 |
| Stable limit cycles in recurrent neural networks A Bay, S Lepsoy, E Magli 2016 International Conference on Communications (COMM), 89-92, 2016 | 5 | 2016 |
| On deep neural network calibration by regularization and its impact on refinement A Singh | 3 | 2021 |
| On mixup training: Improved calibration and predictive uncertainty for deep neural networks neurips reproducibility challenge 2019 A Singh, A Bay | 3 | 2019 |
| Filtering point targets via online learning of motion models M Emambakhsh, A Bay, E Vazquez arXiv preprint arXiv:1902.07630, 2019 | 3 | 2019 |
| Dictionary design for sensor network localization via block-sparsity A Bay, D Carrera, SM Fosson, P Fragneto, M Grella, C Ravazzi, E Magli 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP …, 2015 | 3 | 2015 |
| Sequence stacking using dual encoder Seq2Seq recurrent networks A Bay, B Sengupta | 2 | 2017 |
| LHCb outer tracker: Technical Design Report YV Pavlenko, O Omelaenko, P Dalpiaz, Z Guzik, VK Semenov, J Ocariz, ... LHCb-TDR-006, 2001 | 2 | 2001 |
| Image-based anomaly detection based on a machine learning analysis of an object DS Gonzales, Y Zhang, A Mirabile, A Bay US Patent App. 17/334,162, 2022 | 1 | 2022 |
| Real-time tracker with fast recovery from target loss A Bay, P Sidiropoulos, E Vazquez, M Sasdelli ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1 | 2019 |
| The LHCb Silicon Tracker: Running experience G Adeva, R Muresan, D Esperante Pereira, M Britsch, M Tobin, ... | 1 | 2012 |
| Object identification based on a partial decode F Lupo, A Bay, A Mirabile US Patent 11,922,268, 2024 | | 2024 |
