Application of Kohonen self-organizing maps to improve the performance of objective methods for speech quality assessment. - Jayme G. A. Barbedo; Moisés Vidal Ribeiro; Fernando José Von Zuben; Amauri Lopes; João Marcos Travassos Romano (EUSIPCO, 2002)

Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment. - Moisés Vidal Ribeiro; Jayme Garcia Arnal Barbedo; João Marcos Travassos Romano; Amauri Lopes (EURASIP J. Adv. Signal Process., 2005)

High Time-Resolution Estimation of Multiple Fundamental Frequencies. - Jayme Garcia Arnal Barbedo; Amauri Lopes; Patrick J. Wolfe (ISMIR, 2007)

Automatic Genre Classification of Musical Signals. - Jayme Garcia Arnal Barbedo; Amauri Lopes (EURASIP J. Adv. Signal Process., 2007)

On the Vectorization of FIR Filterbanks. - Jayme Garcia Arnal Barbedo; Amauri Lopes (EURASIP J. Adv. Signal Process., 2007)

Empirical Methods to Determine the Number of Sources in Single-Channel Musical Signals. - Jayme Garcia Arnal Barbedo; Amauri Lopes; Patrick J. Wolfe (IEEE Trans. Speech Audio Process., 2009)

Instrument identification in polyphonic music signals based on individual partials. - Jayme G. A. Barbedo; George Tzanetakis (ICASSP, 2010)

Correlation-Based Amplitude Estimation of Coincident Partials in Monaural Musical Signals. - Jayme Garcia Arnal Barbedo; George Tzanetakis (EURASIP J. Audio Speech Music. Process., 2010)

Improving a Multiple Pitch Estimation Method With AR Models. - Tiago Fernandes Tavares; Jayme G. A. Barbedo; Amauri Lopes (Semantic Audio, 2011)

Musical Instrument Classification Using Individual Partials. - Jayme G. A. Barbedo; George Tzanetakis (IEEE Trans. Speech Audio Process., 2011)

Method for Counting Microorganisms and Colonies in Microscopic Images. - Jayme Garcia Arnal Barbedo (ICCSA Workshops, 2012)

Counting Clustered Soybean Seeds. - Jayme Garcia Arnal Barbedo (ICCSA Workshops, 2012)

Method for Automatic Counting Root Nodules Using Digital Images. - Jayme Garcia Arnal Barbedo (ICCSA Workshops, 2012)

Unsupervised training of detection threshold for polyphonic musical note tracking based on event periodicity. - Tiago Fernandes Tavares; Jayme Garcia Arnal Barbedo; Romis Attux; Amauri Lopes (ICASSP, 2013)

Survey on automatic transcription of music - Historical overview of techniques. - Tiago Fernandes Tavares; Jayme Garcia Arnal Barbedo; Romis Attux; Amauri Lopes (J. Braz. Comput. Soc., 2013)

3D Plant Modeling: Localization, Mapping and Segmentation for Plant Phenotyping Using a Single Hand-held Camera. - Thiago Teixeira Santos; Luciano Vieira Koenigkan; Jayme Garcia Arnal Barbedo; Gustavo Costa Rodrigues (ECCV Workshops (4), 2014)

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification. - Jayme Garcia Arnal Barbedo (Comput. Electron. Agric., 2018)

Detection of nutrition deficiencies in plants using proximal images and machine learning: A review. - Jayme Garcia Arnal Barbedo (Comput. Electron. Agric., 2019)

A Study on the Detection of Cattle in UAV Images Using Deep Learning. - Jayme Garcia Arnal Barbedo; Luciano Vieira Koenigkan; Thiago Teixeira Santos; Patrícia Menezes Santos (Sensors, 2019)

Counting Cattle in UAV Images - Dealing with Clustered Animals and Animal/Background Contrast Changes. - Jayme Garcia Arnal Barbedo; Luciano Vieira Koenigkan; Patrícia Menezes Santos; Andrea Roberto Bueno Ribeiro (Sensors, 2020)

An Information Retrieval System Based on Multiple Portlets: Communication Between Its Components. - Glauber José Vaz; Jayme Garcia Arnal Barbedo (Int. J. Web Portals, 2021)

Data Fusion in Agriculture: Resolving Ambiguities and Closing Data Gaps. - Jayme Garcia Arnal Barbedo (Sensors, 2022)

Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System. - Yonatan Meir; Jayme Garcia Arnal Barbedo; Omri Keren; Cláudia Vieira Godoy; Nofar Amedi; Yaar Shalom; Amir B. Geva (Sensors, 2023)

A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture. - Jayme Garcia Arnal Barbedo (Comput. Electron. Agric., 2023)

Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain. - Franco da Silveira; Jayme Garcia Arnal Barbedo; Sabrina Letícia Couto da Silva; Fernando Gonçalves Amaral (Comput. Electron. Agric., 2023)

Combination of Remote Sensing and Artificial Intelligence in Fruit Growing: Progress, Challenges, and Potential Applications. - Danielle Elis Garcia Furuya; Édson Luis Bolfe; Taya Cristo Parreiras; Jayme Garcia Arnal Barbedo; Thiago Teixeira Santos; Luciano Gebler (Remote. Sens., 2024)

Advancements in artificial pollination of crops: from manual to autonomous. - Leilei He; Xiaojuan Liu; Yusong Ding; Xudong Jing; Haojie Dang; Bryan Gilbert Murengami; Lamin L. Janneh; Rui Li 069; Spyros Fountas; Jayme Garcia Arnal Barbedo; Longsheng Fu (Comput. Electron. Agric., 2025)