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Pacheco, André G. C.
1109  Ergebnisse:
Personensuche X
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1

Learning to estimate heart rate from accelerometer and user..:

Pacheco, Andre G. C. ; Cabello, Frank A. C. ; Rodrigues, Paula G....
IEEE Journal of Biomedical and Health Informatics.  , 2024
Link: https://doi.org/10.1109/..
 
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2

DeepCraftFuse: visual and deeply-learnable features work be..:

Souza, Luis A. ; Pacheco, André G. C. ; Passos, Leandro A....
Neural Computing and Applications.  36 (2024)  18 - p. 10445-10459 , 2024
Link: https://doi.org/10.1007/..
 
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3

Towards Low-Power Heart Rate Estimation Based on User's Dem..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Pacheco, Andre G. C. ; Cabello, Frank A. C. ; Fonoff, Adriana M. O.... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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4

The impact of patient clinical information on automated ski..:

Pacheco, Andre G.C. ; Krohling, Renato A.
Computers in Biology and Medicine.  116 (2020)  - p. 103545 , 2020
Link: https://doi.org/10.1016/..
 
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5

An app to detect melanoma using deep learning: An approach ..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Castro, Pedro B. C. ; Krohling, Breno ; Pacheco, Andre G. C.. - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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6

On Out-of-Distribution Detection Algorithms with Deep Neura..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Pacheco, Andre G. C. ; Sastry, Chandramouli S. ; Trappenberg, Thomas.. - p. 3152-3161 , 2020
Link: https://doi.org/10.1109/..
 
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7

PAD-UFES-20: A skin lesion dataset composed of patient data..:

Pacheco, Andre G.C. ; Lima, Gustavo R. ; Salomão, Amanda S....
Data in Brief.  32 (2020)  - p. 106221 , 2020
Link: https://doi.org/10.1016/..
 
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8

Learning dynamic weights for an ensemble of deep models app..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Pacheco, Andre G. C. ; Trappenberg, Thomas ; Krohling, Renato A. - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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9

TODIM and TOPSIS with Z-numbers:

Krohling, Renato A. ; Pacheco, André G. C. ; dos Santos, Guilherme A.
Frontiers of Information Technology & Electronic Engineering.  20 (2019)  2 - p. 283-291 , 2019
Link: https://doi.org/10.1631/..
 
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10

Restricted Boltzmann machine to determine the input weights..:

Pacheco, Andre G.C. ; Krohling, Renato A. ; da Silva, Carlos A.S.
Expert Systems with Applications.  96 (2018)  - p. 77-85 , 2018
Link: https://doi.org/10.1016/..
 
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11

Ranking of Classification Algorithms in Terms of Mean–Stand..:

Pacheco, André G. C. ; Krohling, Renato A.
Annals of Data Science.  5 (2018)  1 - p. 93-110 , 2018
Link: https://doi.org/10.1007/..
 
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12

Aggregation of neural classifiers using Choquet integral wi..:

Pacheco, Andre G.C. ; Krohling, Renato A.
Neurocomputing.  292 (2018)  - p. 151-164 , 2018
Link: https://doi.org/10.1016/..
 
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13

A-TOPSIS – An Approach Based on TOPSIS for Ranking Evolutio..:

Krohling, Renato A. ; Pacheco, André G.C.
Procedia Computer Science.  55 (2015)  - p. 308-317 , 2015
Link: https://doi.org/10.1016/..
 
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14

Time Series Prediction Using Restricted Boltzmann Machines ..:

Hrasko, Rafael ; Pacheco, André G.C. ; Krohling, Renato A.
Procedia Computer Science.  55 (2015)  - p. 990-999 , 2015
Link: https://doi.org/10.1016/..
 
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15

Interval-valued Intuitionistic Fuzzy TODIM:

Krohling, Renato A. ; Pacheco, André G.C.
Procedia Computer Science.  31 (2014)  - p. 236-244 , 2014
Link: https://doi.org/10.1016/..
 
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