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ORCIDJayme G. A. Barbedo
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- affiliation: Embrapa Agricultural Informatics Campinas, Brazil
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Journal Articles
- 2023
[j16]Jayme Garcia Arnal Barbedo
:
A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture. Comput. Electron. Agric. 210: 107920 (2023)- [j15]Franco da Silveira, Jayme Garcia Arnal Barbedo, Sabrina Letícia Couto da Silva, Fernando Gonçalves Amaral:
Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain. Comput. Electron. Agric. 214: 108281 (2023) - [j14]Yonatan Meir, Jayme Garcia Arnal Barbedo, Omri Keren, Cláudia Vieira Godoy, Nofar Amedi, Yaar Shalom, Amir B. Geva:
Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System. Sensors 23(9): 4272 (2023) - 2022
- [j13]Jayme Garcia Arnal Barbedo:
Data Fusion in Agriculture: Resolving Ambiguities and Closing Data Gaps. Sensors 22(6): 2285 (2022) - 2021
- [j12]Glauber José Vaz, Jayme Garcia Arnal Barbedo:
An Information Retrieval System Based on Multiple Portlets: Communication Between Its Components. Int. J. Web Portals 13(1): 74-86 (2021) - 2020
- [j11]Jayme Garcia Arnal Barbedo, Luciano Vieira Koenigkan, Patrícia Menezes Santos, Andrea Roberto Bueno Ribeiro:
Counting Cattle in UAV Images - Dealing with Clustered Animals and Animal/Background Contrast Changes. Sensors 20(7): 2126 (2020) - 2019
- [j10]Jayme Garcia Arnal Barbedo:
Detection of nutrition deficiencies in plants using proximal images and machine learning: A review. Comput. Electron. Agric. 162: 482-492 (2019) - [j9]Jayme Garcia Arnal Barbedo, Luciano Vieira Koenigkan, Thiago Teixeira Santos, Patrícia Menezes Santos:
A Study on the Detection of Cattle in UAV Images Using Deep Learning. Sensors 19(24): 5436 (2019) - 2018
- [j8]Jayme Garcia Arnal Barbedo:
Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification. Comput. Electron. Agric. 153: 46-53 (2018) - 2013
- [j7]Tiago Fernandes Tavares, Jayme Garcia Arnal Barbedo, Romis Attux, Amauri Lopes:
Survey on automatic transcription of music - Historical overview of techniques. J. Braz. Comput. Soc. 19(4): 589-604 (2013) - 2011
- [j6]Jayme G. A. Barbedo, George Tzanetakis:
Musical Instrument Classification Using Individual Partials. IEEE Trans. Speech Audio Process. 19(1): 111-122 (2011) - 2010
- [j5]Jayme Garcia Arnal Barbedo, George Tzanetakis:
Correlation-Based Amplitude Estimation of Coincident Partials in Monaural Musical Signals. EURASIP J. Audio Speech Music. Process. 2010 (2010) - 2009
- [j4]Jayme Garcia Arnal Barbedo, Amauri Lopes, Patrick J. Wolfe:
Empirical Methods to Determine the Number of Sources in Single-Channel Musical Signals. IEEE Trans. Speech Audio Process. 17(7): 1435-1444 (2009) - 2007
- [j3]Jayme Garcia Arnal Barbedo, Amauri Lopes:
Automatic Genre Classification of Musical Signals. EURASIP J. Adv. Signal Process. 2007 (2007) - [j2]Jayme Garcia Arnal Barbedo, Amauri Lopes:
On the Vectorization of FIR Filterbanks. EURASIP J. Adv. Signal Process. 2007 (2007) - 2005
- [j1]Moisés Vidal Ribeiro, Jayme Garcia Arnal Barbedo, João Marcos Travassos Romano, Amauri Lopes:
Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment. EURASIP J. Adv. Signal Process. 2005(9): 1425-1434 (2005)
Conference and Workshop Papers
- 2014
- [c9]Thiago Teixeira Santos, Luciano Vieira Koenigkan, Jayme Garcia Arnal Barbedo, Gustavo Costa Rodrigues:
3D Plant Modeling: Localization, Mapping and Segmentation for Plant Phenotyping Using a Single Hand-held Camera. ECCV Workshops (4) 2014: 247-263 - 2013
- [c8]Tiago Fernandes Tavares, Jayme Garcia Arnal Barbedo, Romis Attux, Amauri Lopes:
Unsupervised training of detection threshold for polyphonic musical note tracking based on event periodicity. ICASSP 2013: 21-25 - 2012
- [c7]Jayme Garcia Arnal Barbedo:
Method for Counting Microorganisms and Colonies in Microscopic Images. ICCSA Workshops 2012: 83-87 - [c6]Jayme Garcia Arnal Barbedo:
Counting Clustered Soybean Seeds. ICCSA Workshops 2012: 142-145 - [c5]Jayme Garcia Arnal Barbedo:
Method for Automatic Counting Root Nodules Using Digital Images. ICCSA Workshops 2012: 159-161 - 2011
- [c4]Tiago Fernandes Tavares, Jayme G. A. Barbedo, Amauri Lopes:
Improving a Multiple Pitch Estimation Method With AR Models. Semantic Audio 2011 - 2010
- [c3]Jayme G. A. Barbedo, George Tzanetakis:
Instrument identification in polyphonic music signals based on individual partials. ICASSP 2010: 401-404 - 2007
- [c2]Jayme Garcia Arnal Barbedo, Amauri Lopes, Patrick J. Wolfe:
High Time-Resolution Estimation of Multiple Fundamental Frequencies. ISMIR 2007: 399-402 - 2002
- [c1]Jayme G. A. Barbedo, Moisés Vidal Ribeiro, Fernando José Von Zuben, Amauri Lopes, João Marcos Travassos Romano:
Application of Kohonen self-organizing maps to improve the performance of objective methods for speech quality assessment. EUSIPCO 2002: 1-4
Coauthor Index
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