On the Use of Kernel PCA for Feature Extraction in Speech Recognition. - Amaro A. de Lima; Heiga Zen; Yoshihiko Nankaku; Chiyomi Miyajima; Keiichi Tokuda; Tadashi Kitamura (IEICE Trans. Inf. Syst., 2004)

Sparse KPCA for Feature Extraction in Speech Recognition. - Amaro A. de Lima; Heiga Zen; Yoshihiko Nankaku; Keiichi Tokuda; Tadashi Kitamura; Fernando Gil Resende (ICASSP (1), 2005)

Applying Sparse KPCA for Feature Extraction in Speech Recognition. - Amaro A. de Lima; Heiga Zen; Yoshihiko Nankaku; Keiichi Tokuda; Tadashi Kitamura; Fernando Gil Resende (IEICE Trans. Inf. Syst., 2005)

Quality Evaluation of Reverberation in Audioband Speech Signals. - Amaro A. de Lima; Sergio L. Netto; Luiz W. P. Biscainho; Fabio P. Freeland; Bruno C. Bispo; Rafael A. de Jesus; Ronald W. Schafer; Amir Said; Bowon Lee; Ton Kalker (ICETE (Selected Papers), 2008)

On the quality assessment of sound signals. - Amaro A. de Lima; Fabio P. Freeland; Rafael A. de Jesus; Bruno C. Bispo; Luiz W. P. Biscainho; Sergio L. Netto; Amir Said; Antonius A. C. M. Kalker; Ronald W. Schafer; Bowon Lee; Mehrban Jam (ISCAS, 2008)

Reverberation Assessment in Audioband Speech Signals for Telepresence Systems. - Amaro A. de Lima; Fabio P. Freeland; Paulo A. A. Esquef; Luiz W. P. Biscainho; Bruno C. Bispo; Rafael A. de Jesus; Sergio L. Netto; Ronald W. Schafer; Amir Said; Bowon Lee; Antonius A. C. M. Kalker (SIGMAP, 2008)

Feature analysis for quality assessment of reverberated speech. - Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Bowon Lee; Amir Said; Ronald W. Schafer; Ton Kalker; Majid Fozunbal (MMSP, 2009)

Perceptual Improvement of a Two-Stage Algorithm for Speech Dereverberation. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (INTERSPEECH, 2011)

Perceptual analysis of higher-order statistics in estimating reverberation. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (ISCCSP, 2012)

On the quality-assessment of reverberated speech. - Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Bowon Lee; Amir Said; Ronald W. Schafer; Ton Kalker; Majid Fozunbal (Speech Commun., 2012)

Feature analysis for the reverberation perception in speech signals. - J. M. F. del Vallado; Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto (ICASSP, 2013)

On the enhancement of dereverberation algorithms based on a perceptual evaluation criterion. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (INTERSPEECH, 2013)

On fault classification in rotating machines using fourier domain features and neural networks. - Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Eduardo A. B. da Silva; Ricardo H. R. Gutiérrez; Ulisses A. Monteiro; Antonio C. R. Troyman; Francisco J. da C. Silveira; Luiz A. P. Vaz (LASCAS, 2013)

Blind estimators for reverberation time and direct-to-reverberant energy ratio using subband speech decomposition. - Thiago de M. Prego; Amaro A. de Lima; Rafael Zambrano-Lopez; Sergio L. Netto (WASPAA, 2015)

The influence of feature vector on the classification of mechanical faults using neural networks. - Denys Pestana-Viana; Rafael Zambrano-Lopez; Amaro A. de Lima; Thiago de M. Prego; Sergio L. Netto; Eduardo A. B. da Silva (LASCAS, 2016)

Audio anomaly detection on rotating machinery using image signal processing. - Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto; Eduardo A. B. da Silva (LASCAS, 2016)

On the enhancement of dereverberation algorithms using multiple perceptual-evaluation criteria. - Rafael Zambrano-Lopez; Thiago de M. Prego; Amaro A. de Lima; Sergio L. Netto (MMSP, 2016)

Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection. - Pedro Henriquer Barbosa Monforte; Gabriel Matos Araujo; Amaro Azevedo de Lima (ICMLA, 2018)

Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter. - L. Wesley Passos; Gabriel M. Araujo; Amaro A. de Lima; Felipe M. Lopes Ribeiro; Eduardo A. B. da Silva (IJCNN, 2018)

Autonomous Detection of Mosquito-Breeding Habitats Using an Unmanned Aerial Vehicle. - Tayana Dias; Viviane Alves; Henrique Alves; Lucas Pinheiro; Roberto Pontes; Gabriel M. Araujo; Amaro A. de Lima; Thiago de M. Prego (LARS/SBR/WRE, 2018)

A Brazilian Sign Language Video Database for Automatic Recognition. - Priscila V. Gameiro; L. Wesley Passos; Gabriel M. Araujo; Amaro A. de Lima; Jonathan N. Gois; Anna R. Corbo (LARS/SBR/WRE, 2020)

Spatio-temporal Consistency to Detect Potential Aedes aegypti Breeding Grounds in Aerial Video Sequences. - L. Wesley Passos; Eduardo A. B. da Silva; Sergio L. Netto; Gabriel M. Araujo; Amaro A. de Lima (CoRR, 2020)

A Brazilian Sign Language Gesture Recognizing System Using Gait Energy Image. - L. Wesley Passos; Gabriel M. Araujo; Jonathan N. Gois; Amaro A. de Lima (LASCAS, 2021)

A Gait Energy Image-Based System for Brazilian Sign Language Recognition. - L. Wesley Passos; Gabriel M. Araujo; Jonathan N. Gois; Amaro A. de Lima (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency. - L. Wesley Passos; Gabriel M. Araujo; Amaro A. de Lima; Sergio L. Netto; Eduardo A. B. da Silva (Comput. Environ. Urban Syst., 2022)

Composed Fault Dataset (COMFAULDA). - Dionísio H. C. S. S. Martins; Denys Pestana-Viana; Amaro Azevedo de Lima; Diego B. Haddad; Ricardo H. R. Gutiérrez; Luiz A. P. Vaz (IEEE DataPort, 2022)

Simulation and Evaluation of Deep Learning Autoencoders for Image Compression in Multi-UAV Network Systems. - Gabryel Silva Ramos; Amaro Azevedo de Lima; Luciana Faletti Almeida; José Lima 001; Milena Faria Pinto (LARS/SBR/WRE, 2023)

Improved variational mode decomposition for combined imbalance-and-misalignment fault recognition and severity quantification. - Dionísio H. C. S. S. Martins; Amaro A. de Lima; Ricardo H. R. Gutiérrez; Denys Pestana-Viana; Sergio L. Netto; Luiz A. P. Vaz; Eduardo A. B. da Silva; Diego B. Haddad (Eng. Appl. Artif. Intell., 2023)

Hybrid data augmentation method for combined failure recognition in rotating machines. - Dionísio H. C. S. S. Martins; Amaro A. de Lima; Milena F. Pinto; Douglas de O. Hemerly; Thiago de M. Prego; Fabrício Lopes e Silva; Luís Tarrataca; Ulisses A. Monteiro; Ricardo H. R. Gutiérrez; Diego B. Haddad (J. Intell. Manuf., 2023)

Predicting faults in diesel engines with kernel machines regression techniques. - Denys Pestana-Viana; Dionísio H. C. S. S. Martins; Diego B. Haddad; Fabrício Lopes e Silva; Milena F. Pinto; Ricardo H. R. Gutiérrez; Ulisses A. Monteiro; Luiz A. P. Vaz; Thiago de M. Prego; Fabio A. A. Andrade; Luís Tarrataca; Amaro A. de Lima (Appl. Intell., 2025)