| A procedure to detect problems of processes in software development projects using Bayesian networks M Perkusich, G Soares, H Almeida, A Perkusich Expert Systems with Applications 42 (1), 437-450, 2015 | 106 | 2015 |
| Intelligent software engineering in the context of agile software development: A systematic literature review M Perkusich, LC e Silva, A Costa, F Ramos, R Saraiva, A Freire, ... Information and Software Technology 119, 106241, 2020 | 105 | 2020 |
| Integrating software engineering methods and Petri nets for the specification and prototyping of complex information systems Y Deng, SK Chang, JCA de Figueired, A Perkusich Application and Theory of Petri Nets 1993: 14th International Conference …, 1993 | 89 | 1993 |
| A smart trust management method to detect on‐off attacks in the Internet of Things J Caminha, A Perkusich, M Perkusich Security and Communication Networks 2018 (1), 6063456, 2018 | 87 | 2018 |
| G-nets: A petri net based approach for logical and timing analysis of complex software systems A Perkusich, JCA de Figueiredo Journal of systems and Software 39 (1), 39-59, 1997 | 82 | 1997 |
| A personal connected health system for the Internet of Things based on the Constrained Application Protocol DFS Santos, HO Almeida, A Perkusich Computers & Electrical Engineering 44, 122-136, 2015 | 78 | 2015 |
| Design and evaluation of a mobile application to assist the self-monitoring of the chronic kidney disease in developing countries A Sobrinho, LD da Silva, A Perkusich, ME Pinheiro, P Cunha BMC medical informatics and decision making 18, 1-14, 2018 | 75 | 2018 |
| Computer-aided diagnosis of chronic kidney disease in developing countries: A comparative analysis of machine learning techniques A Sobrinho, ACMDS Queiroz, LD Da Silva, EDB Costa, ME Pinheiro, ... IEEE Access 8, 25407-25419, 2020 | 71 | 2020 |
| Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning R Saraiva, M Perkusich, L Silva, H Almeida, C Siebra, A Perkusich Expert Systems with Applications 61, 192-202, 2016 | 71 | 2016 |
| Emotion recognition based on brain-computer interface systems TS Rached, A Perkusich Brain-computer interface systems-Recent progress and future prospects, 253-270, 2013 | 65 | 2013 |
| A Bayesian networks-based approach to assess and improve the teamwork quality of agile teams A Freire, M Perkusich, R Saraiva, H Almeida, A Perkusich Information and Software Technology 100, 119-132, 2018 | 64 | 2018 |
| Broadcast routing in wireless sensor networks with dynamic power management and multi-coverage backbones PS Sausen, MA Spohn, A Perkusich Information Sciences 180 (5), 653-663, 2010 | 63 | 2010 |
| Standard-based and distributed health information sharing for mHealth IoT systems DFS Santos, A Perkusich, HO Almeida 2014 IEEE 16th International Conference on e-Health Networking, Applications …, 2014 | 53 | 2014 |
| A model-based approach to support validation of medical cyber-physical systems LC Silva, HO Almeida, A Perkusich, M Perkusich Sensors 15 (11), 27625-27670, 2015 | 48 | 2015 |
| A systematic review on the use of Definition of Done on agile software development projects A Silva, T Araújo, J Nunes, M Perkusich, E Dilorenzo, H Almeida, ... Proceedings of the 21st international conference on evaluation and …, 2017 | 47 | 2017 |
| Integrating MQTT and ISO/IEEE 11073 for health information sharing in the Internet of Things YF Gomes, DFS Santos, HO Almeida, A Perkusich 2015 IEEE International Conference on Consumer Electronics (ICCE), 200-201, 2015 | 47 | 2015 |
| Effort estimation in agile software development: an updated review E Dantas, M Perkusich, E Dilorenzo, DFS Santos, H Almeida, A Perkusich International Journal of Software Engineering and Knowledge Engineering 28 …, 2018 | 43 | 2018 |
| A model-based architecture for testing medical cyber-physical systems LC Silva, M Perkusich, FM Bublitz, HO Almeida, A Perkusich Proceedings of the 29th Annual ACM Symposium on Applied Computing, 25-30, 2014 | 43 | 2014 |
| Team formation in software engineering: a systematic mapping study A Costa, F Ramos, M Perkusich, E Dantas, E Dilorenzo, F Chagas, ... Ieee Access 8, 145687-145712, 2020 | 41 | 2020 |
| Exploring early prediction of chronic kidney disease using machine learning algorithms for small and imbalanced datasets ACM Silveira, Á Sobrinho, LD Silva, EB Costa, ME Pinheiro, A Perkusich Applied Sciences 12 (7), 3673, 2022 | 40 | 2022 |
Hyggo AlmeidaUniversidade Federal de Campina GrandeVerifisert e-postadresse på dsc.ufcg.edu.br