Search Results - "P. Gomes, João Paulo"

The role of bug report evolution in reliable fixing estimation by Vieira, Renan G., Mattos, César Lincoln C., Rocha, Lincoln S., Gomes, João Paulo P., Paixão, Matheus

“…Context Bug reports contain information that can be used by researchers and practitioners to better understand the bug fixing process and to enable the…”
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Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop by da Silva, Antônio José A., Vieira, Renan G., Mesquita, Diego P. P., Gomes, João Paulo P., Rocha, Lincoln S.

“…Context Exception handling (EH) bugs stem from incorrect usage of exception handling mechanisms (EHMs) and often incur severe consequences (e.g., system…”
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Artificial Neural Networks with Random Weights for Incomplete Datasets by Mesquita, Diego P. P., Gomes, João Paulo P., Rodrigues, Leonardo R.

“…In this paper, we propose a method to design Neural Networks with Random Weights in the presence of incomplete data. We present a method, under the general…”
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Mission Planning for Multiple UAVs in a Wind Field with Flight Time Constraints by Pinto, Vandilberto P., Galvão, Roberto K. H., Rodrigues, Leonardo R., Gomes, João Paulo P.

“…The use of unmanned aerial vehicles (UAVs) has become common in a wide range of applications due to their agility and maneuverability. UAV mission planning is…”
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A new pruning method for extreme learning machines via genetic algorithms by Alencar, Alisson S.C., Rocha Neto, Ajalmar R., Gomes, João Paulo P.

“…[Display omitted] •We propose a pruning method for ELM using genetic algorithms (GA).•Our proposal estimates the leave-one-out (LOO) error using the PRESS…”
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Bayesian ART for incomplete datasets by Matias, Alan L.S., Gomes, João Paulo P., Mattos, César Lincoln C., Rocha Neto, Ajalmar R., Mesquita, Diego

“…Adaptive Resonance Theory (ART) models allow for categorizing data in a fast and incremental manner. In particular, the Bayesian ART leverages Bayesian…”
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A novel fuzzy ARTMAP with area of influence by Matias, Alan L.S., Rocha Neto, Ajalmar R., Mattos, César Lincoln C., Gomes, João Paulo P.

“…Fuzzy ARTMAP (FAM) is a neural network model based on the adaptive resonance theory (ART). Its main advantage relies on its capability to successfully deal…”
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Regression based performance modeling and provisioning for NoSQL cloud databases by Farias, Victor A.E., Sousa, Flávio R.C., Maia, José Gilvan R., Gomes, João Paulo P., Machado, Javam C.

“…Cloud computing is a successful and emerging paradigm that supports on-demand services with pay-as-you-go model. Because of the exponential growth of data,…”
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Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm by Mesquita, Diego P.P., P. Gomes, João Paulo, Rodrigues, Leonardo R., Oliveira, Saulo A.F., Galvão, Roberto K.H.

“…[Display omitted] •We propose a selective ensemble method for Randomization Based Neural Networks (RNNs) based on the Successive Projections Algorithm…”
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Classification with reject option for software defect prediction by Mesquita, Diego P.P., Rocha, Lincoln S., Gomes, João Paulo P., Rocha Neto, Ajalmar R.

“…[Display omitted] •We propose the use of classification with reject option for software defect prediction (SDP) as a way to incorporate additional knowledge in…”
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A Fault Detection Method for Hard Disk Drives Based on Mixture of Gaussians and Nonparametric Statistics by Queiroz, Lucas P., Rodrigues, Francisco Caio M., Gomes, Joao Paulo P., Brito, Felipe T., Chaves, Iago C., Paula, Manoel Rui P., Salvador, Marcos R., Machado, Javam C.

“…Hard Disk Drives (HDD) failure prediction is a challenging topic that has attracted much attention in recent years. Predicting failures in HDD may avoid losing…”
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Predicting the Health Degree of Hard Disk Drives With Asymmetric and Ordinal Deep Neural Models by Lima, Fernando D. S., Pereira, Francisco Lucas F., Chaves, Iago C., Machado, Javam C., Gomes, Joao Paulo P.

“…Predicting failures in Hard Disk Drives (HDD) is a major challenge that has been faced by both industry and academy in recent years. Being able to predict…”
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A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems by Rodrigues, Leonardo R., Gomes, Joao Paulo P., Rocha Neto, Ajalmar R., Souza Junior, Amauri H.

“…The Symbiotic Organism Search (SOS) algorithm is an optimization metaheuristic inspired by the symbiotic relationships that occur among organisms in nature. In…”
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Fault Detection in Hard Disk Drives Based on a Semi Parametric Model and Statistical Estimators by Queiroz, Lucas P., Gomes, Joao Paulo P., Rodrigues, Francisco Caio M., Brito, Felipe T., Chaves, Iago C., Leite, Lucas G. M., Machado, Javam C.

“…Detecting faults in Hard Disk Drives (HDD) can lead to significant benefits to HDD manufacturers, users and storage system providers. As a consequence, several…”
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Predicting Overtemperature Events in Graphics Cards Using Regression Models by Rodrigues, Francisco Caio M., Queiroz, Lucas P., Gomes, Joao Paulo P., Machado, Javam C.

“…Graphics cards are complex electronic systems designed for high performance applications. Due to its processing power, graphics cards may operate at high…”
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Regularized Supervised Distance Preserving Projections for Short-Text Classification by Alencar, Alisson S. C., Gomes, Joao Paulo P., Souza, Amauri H., Freire, Livio A. M., Silva, Jose Wellington F., Andrade, Rossana M. C., Castro, Miguel F.

“…Short-text classification is a challenging natural language processing problem. Beyond classification accuracy, another issue refers to the dimensionality of…”
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A Hybrid TLBO-Particle Filter Algorithm Applied to Remaining Useful Life Prediction in the Presence of Multiple Degradation Factors by Rodrigues, Leonardo R., Coelho, Daniel B. P., Gomes, Joao Paulo P.

“…One of the end goals of a Prognostic and Health Monitoring (PHM) algorithm is to provide accurate Remaining Useful Life (RUL) predictions for the monitored…”
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Using Autoencoders for Anomaly Detection in Hard Disk Drives by Pereira, Francisco Lucas F., Castro Chaves, Iago, Gomes, Joao Paulo P., Machado, Javam C.

“…Nowadays, predicting failures in Hard Disk Drives (HDD) is of key importance for storage service providers and end users. Being able to detect in advance that…”
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A New Methodology for Classifying QRS Morphology in ECG Signals by Caldas, Weslley L., Paulo V. Madeiro, Joao, Mattos, Cesar Lincoln C., Gomes, Joao Paulo P.

“…The electrocardiogram (ECG) is a non-invasive method to detect cardiovascular diseases (CVD), the most common cause of death in the world. The recognition of…”
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Fault Detection in Hard Disk Drives Based on Mixture of Gaussians by Queiroz, Lucas P., Rodrigues, Francisco Caio M., Gomes, Joao Paulo P., Brito, Felipe T., Brito, Iago C., Machado, Javam C.

“…Being able to detect faults in Hard Disk Drives (HDD) can lead to significant benefits to computer manufacturers, users and storage system providers. As a…”
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