| In defense of one-vs-all classification R Rifkin, A Klautau The Journal of Machine Learning Research 5, 101-141, 2004 | 2582 | 2004 |
| 5G MIMO data for machine learning: Application to beam-selection using deep learning A Klautau, P Batista, N González-Prelcic, Y Wang, RW Heath 2018 Information Theory and Applications Workshop (ITA), 1-9, 2018 | 252 | 2018 |
| LIDAR data for deep learning-based mmWave beam-selection A Klautau, N González-Prelcic, RW Heath IEEE Wireless Communications Letters 8 (3), 909-912, 2019 | 176 | 2019 |
| New approach for T-wave end detection on electrocardiogram: Performance in noisy conditions CR Vázquez-Seisdedos, JE Neto, EJ Marañón Reyes, A Klautau, ... Biomedical engineering online 10, 1-11, 2011 | 110 | 2011 |
| MmWave vehicular beam selection with situational awareness using machine learning Y Wang, A Klautau, M Ribero, ACK Soong, RW Heath IEEE Access 7, 87479-87493, 2019 | 108 | 2019 |
| Position and LIDAR-aided mmWave beam selection using deep learning M Dias, A Klautau, N González-Prelcic, RW Heath 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 75 | 2019 |
| On nearest-neighbor error-correcting output codes with application to all-pairs multiclass support vector machines A Klautau, N Jevtić, A Orlitsky Journal of Machine Learning Research 4 (Apr), 1-15, 2003 | 61 | 2003 |
| Free tools and resources for Brazilian Portuguese speech recognition N Neto, C Patrick, A Klautau, I Trancoso Journal of the Brazilian Computer Society 17, 53-68, 2011 | 58 | 2011 |
| Testbed for 5G connected artificial intelligence on virtualized networks CV Nahum, LDNM Pinto, VB Tavares, P Batista, S Lins, N Linder, ... IEEE Access 8, 223202-223213, 2020 | 43 | 2020 |
| A front end for discriminative learning in automatic modulation classification FCBF Muller, C Cardoso, A Klautau IEEE Communications Letters 15 (4), 443-445, 2011 | 43 | 2011 |
| An overview of data mining techniques applied to power systems J Morais, A Klautau, C Cardoso, Y Pires INTECH Open Access Publisher 10, 6463, 2009 | 43 | 2009 |
| An LPC-based fronthaul compression scheme L Ramalho, MN Fonseca, A Klautau, C Lu, M Berg, E Trojer, S Höst IEEE Communications Letters 21 (2), 318-321, 2016 | 41 | 2016 |
| Simple and causal copper cable model suitable for G. fast frequencies D Acatauassu, S Höst, C Lu, M Berg, A Klautau, PO Börjesson IEEE Transactions on Communications 62 (11), 4040-4051, 2014 | 37 | 2014 |
| Discriminative Gaussian mixture models: A comparison with kernel classifiers A Klautau, N Jevtic, A Orlitsky Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 37 | 2003 |
| Mmwave vehicular beam training with situational awareness by machine learning Y Wang, A Klautau, M Ribero, M Narasimha, RW Heath 2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018 | 36 | 2018 |
| Detection and channel equalization with deep learning for low resolution MIMO systems A Klautau, N González-Prelcic, A Mezghani, RW Heath 2018 52nd Asilomar conference on signals, systems, and computers, 1836-1840, 2018 | 33 | 2018 |
| Combined binary classifiers with applications to speech recognition. A Klautau, N Jevtic, A Orlitsky INTERSPEECH, 2469-2472, 2002 | 31 | 2002 |
| A framework for evaluating automatic classification of underlying causes of disturbances and its application to short-circuit faults J Morais, Y Pires, C Cardoso, A Klautau IEEE transactions on power delivery 25 (4), 2083-2094, 2010 | 30 | 2010 |
| Optimizing power normalization for G. fast linear precoder by linear programming FCBF Müller, C Lu, PE Eriksson, S Höst, A Klautau 2014 IEEE International Conference on Communications (ICC), 4160-4165, 2014 | 29 | 2014 |
| Deep transfer learning for site-specific channel estimation in low-resolution mmWave MIMO W Alves, I Correa, N González-Prelcic, A Klautau IEEE Wireless Communications Letters 10 (7), 1424-1428, 2021 | 28 | 2021 |
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