| BBA: a binary bat algorithm for feature selection RYM Nakamura, LAM Pereira, KA Costa, D Rodrigues, JP Papa, XS Yang 2012 25th SIBGRAPI conference on graphics, patterns and images, 291-297, 2012 | 472 | 2012 |
| A wrapper approach for feature selection based on bat algorithm and optimum-path forest D Rodrigues, LAM Pereira, RYM Nakamura, KAP Costa, XS Yang, ... Expert Systems with Applications 41 (5), 2250-2258, 2014 | 262 | 2014 |
| BCS: A binary cuckoo search algorithm for feature selection D Rodrigues, LAM Pereira, TNS Almeida, JP Papa, AN Souza, ... 2013 IEEE International symposium on circuits and systems (ISCAS), 465-468, 2013 | 226 | 2013 |
| Binary flower pollination algorithm and its application to feature selection D Rodrigues, XS Yang, AN De Souza, JP Papa Recent advances in swarm intelligence and evolutionary computation, 85-100, 2015 | 157 | 2015 |
| EEG-based person identification through binary flower pollination algorithm D Rodrigues, GFA Silva, JP Papa, AN Marana, XS Yang Expert Systems with Applications 62, 81-90, 2016 | 149 | 2016 |
| Unsupervised non-technical losses identification through optimum-path forest LAP Júnior, CCO Ramos, D Rodrigues, DR Pereira, AN de Souza, ... Electric Power Systems Research 140, 413-423, 2016 | 120 | 2016 |
| On the study of commercial losses in Brazil: A binary black hole algorithm for theft characterization CCO Ramos, D Rodrigues, AN de Souza, JP Papa IEEE Transactions on Smart Grid 9 (2), 676-683, 2016 | 105 | 2016 |
| Binary bat algorithm for feature selection RYM Nakamura, LAM Pereira, D Rodrigues, KAP Costa, JP Papa, ... Swarm intelligence and bio-inspired computation, 225-237, 2013 | 78 | 2013 |
| Social-spider optimization-based support vector machines applied for energy theft detection DR Pereira, MA Pazoti, LAM Pereira, D Rodrigues, CO Ramos, AN Souza, ... Computers & Electrical Engineering 49, 25-38, 2016 | 68 | 2016 |
| Social-spider optimization-based artificial neural networks training and its applications for Parkinson's disease identification LAM Pereira, D Rodrigues, PB Ribeiro, JP Papa, SAT Weber 2014 IEEE 27th international symposium on computer-based medical systems, 14-17, 2014 | 61 | 2014 |
| A binary cuckoo search and its application for feature selection LAM Pereira, D Rodrigues, TNS Almeida, CCO Ramos, AN Souza, ... Cuckoo Search and Firefly Algorithm: Theory and Applications, 141-154, 2014 | 61 | 2014 |
| Meta‐heuristic multi‐and many‐objective optimization techniques for solution of machine learning problems D Rodrigues, JP Papa, H Adeli Expert Systems 34 (6), e12255, 2017 | 39 | 2017 |
| A multi-objective artificial butterfly optimization approach for feature selection D Rodrigues, VHC de Albuquerque, JP Papa Applied Soft Computing 94, 106442, 2020 | 36 | 2020 |
| A binary krill herd approach for feature selection D Rodrigues, LAM Pereira, JP Papa, SAT Weber 2014 22nd International Conference on Pattern Recognition, 1407-1412, 2014 | 29 | 2014 |
| A review of deep learning‐based approaches for deepfake content detection LA Passos, D Jodas, KAP Costa, LA Souza Júnior, D Rodrigues, ... Expert Systems, e13570, 2022 | 27 | 2022 |
| Analysis of security and performance aspects in service-oriented architectures D Rodrigues, JC Estrella, K Branco International Journal of Security and Its Applications 5 (1), 13-30, 2011 | 23 | 2011 |
| Libopt: An open-source platform for fast prototyping soft optimization techniques JP Papa, GH Rosa, D Rodrigues, XS Yang arXiv preprint arXiv:1704.05174, 2017 | 22 | 2017 |
| Fine tuning deep boltzmann machines through meta-heuristic approaches LA Passos, DR Rodrigues, JP Papa 2018 IEEE 12th International Symposium on Applied Computational Intelligence …, 2018 | 20 | 2018 |
| EEG channel selection for person identification using binary grey wolf optimizer ZAA Alyasseri, OA Alomari, SN Makhadmeh, S Mirjalili, MA Al-Betar, ... Ieee Access 10, 10500-10513, 2022 | 19 | 2022 |
| Adaptive improved flower pollination algorithm for global optimization D Rodrigues, GH de Rosa, LA Passos, JP Papa Nature-inspired computation in data mining and machine learning, 1-21, 2020 | 19 | 2020 |
