Liste des publications de "Lameiras Koerich, Alessandro"

Article publié dans une revue, révisé par les pairs

Abdoli, Sajjad, Cardinal, Patrick et Lameiras Koerich, Alessandro. 2019. « End-to-end environmental sound classification using a 1D convolutional neural network ». Expert Systems with Applications, vol. 136. pp. 252-263.
Compte des citations dans Scopus : 237.

Araujo, Voncarlos M., Britto, Alceu S., Oliveira, Luiz S. et Koerich, Alessandro L.. 2022. « Two-view fine-grained classification of plant species ». Neurocomputing, vol. 467. pp. 427-441.
Compte des citations dans Scopus : 14.

Ataky, Steve Tsham Mpinda et Lameiras Koerich, Alessandro. 2022. « A novel bio-inspired texture descriptor based on biodiversity and taxonomic measures ». Pattern Recognition, vol. 123.
Compte des citations dans Scopus : 9.

Ataky, Steve Tsham Mpinda et Lameiras Koerich, Alessandro. 2023. « E-BiT: Extended bio-inspired texture descriptor for 2D texture analysis and characterization ». Electronics, vol. 12, nº 9.

Ataky, Steve Tsham Mpinda et Lameiras Koerich, Alessandro. 2023. « Multiresolution texture analysis of histopathologic images using ecological diversity measures[Formula presented] ». Expert Systems with Applications, vol. 224.
Compte des citations dans Scopus : 3.

Ataky, Steve Tsham Mpinda, Saqui, Diego, de Matos, Jonathan, de Souza Britto Junior, Alceu et Lameiras Koerich, Alessandro. 2023. « Multiscale analysis for improving texture classification ». Applied Sciences, vol. 13, nº 3.
Compte des citations dans Scopus : 6.

Bergamini, Cheila, Oliveira, Luis S., Koerich, Alessandro L. et Sabourin, Robert. 2009. « Combining different biometric traits with one-class classification ». Signal Processing, vol. 89, nº 11. pp. 2117-2127.
Compte des citations dans Scopus : 45.

Costa, Y. M. G., Oliveira, L. S., Koerich, A. L., Gouyon, F. et Martins, J. G.. 2012. « Music genre classification using LBP textural features ». Signal Processing, vol. 92, nº 11. pp. 2723-2737.
Compte des citations dans Scopus : 142.

De Almeida, Paulo R. L., Oliveira, Luiz S., Britto, Alceu S., Silva, Eunelson J. et Koerich, Alessandro L.. 2015. « PKLot-A robust dataset for parking lot classification ». Expert Systems with Applications, vol. 42, nº 11. pp. 4937-4949.
Compte des citations dans Scopus : 234.

de Matos, Jonathan, Ataky, Steve Tsham Mpinda, Britto, Alceu de Souza, de Oliveira, Luiz Eduardo Soares et Lameiras Koerich, Alessandro. 2021. « Machine learning methods for histopathological image analysis: A review ». Electronics, vol. 10, nº 5.
Compte des citations dans Scopus : 39.

de Matos, Jonathan, de Oliveira, Luiz Eduardo Soares, de Souza Britto Junior, Alceu et Koerich, Alessandro Lameiras. 2023. « Large-margin representation learning for texture classification ». Pattern Recognition Letters, vol. 170. pp. 39-47.
Compte des citations dans Scopus : 2.

Delazeri, Bruna Rossetto, Hochuli, Andre Gustavo, Barddal, Jean Paul, Lameiras Koerich, Alessandro et Britto, Alceu de Souza. 2024. « Representation ensemble learning applied to facial expression recognition ». Neural Computing and Applications.
(Sous presse)

Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras. 2022. « From environmental sound representation to robustness of 2D CNN models against adversarial attacks ». Applied Acoustics, vol. 195.
Compte des citations dans Scopus : 10.

Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro. 2020. « A robust approach for securing audio classification against adversarial attacks ». IEEE Transactions on Information Forensics and Security, vol. 15, nº 1. pp. 2147-2159.
Compte des citations dans Scopus : 42.

Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro. 2021. « Cyclic defense GAN against speech adversarial attacks ». IEEE Signal Processing Letters, vol. 28. pp. 1769-1773.
Compte des citations dans Scopus : 8.

Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro. 2022. « Multidiscriminator sobolev defense-GAN against adversarial attacks for end-to-end speech systems ». IEEE Transactions on Information Forensics and Security, vol. 17. pp. 2044-2058.
Compte des citations dans Scopus : 12.

Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro. 2020. « Unsupervised feature learning for environmental sound classification using Weighted Cycle-Consistent Generative Adversarial Network ». Applied Soft Computing, vol. 86.
Compte des citations dans Scopus : 36.

Galup-Montoro, C., Schneider, M. C., Koerich, A. L. et Pinto, R. L. O.. 1994. « MOSFET threshold extraction from voltage-only measurements ». Electronics Letters, vol. 30, nº 17. pp. 1458-1459.
Compte des citations dans Scopus : 7.

Gatto, Bernardo B., dos Santos, Eulanda M., Koerich, Alessandro L., Fukui, Kazuhiro et S. Júnior, Waldir S.. 2021. « Tensor analysis with n-mode generalized difference subspace ». Expert Systems with Applications, vol. 171.
Compte des citations dans Scopus : 14.

Gatto, Bernardo Bentes, Colonna, Juan Gabriel, dos Santos, Eulanda Mirando, Lameiras Koerich, Alessandro et Fukui, Kazuhiro. 2023. « Discriminative singular spectrum classifier with applications on bioacoustic signal recognition ». Digital Signal Processing, vol. 133.
Compte des citations dans Scopus : 2.

Kalva, P. R., Enembreck, F. et Koerich L., A.. 2008. « WEB image classification using combination of classifiers ». IEEE Latin America Transactions, vol. 6, nº 7. pp. 661-671.
Compte des citations dans Scopus : 8.

Koerich L., Alessandro et Lee, L. L.. 2001. « Processamento automático de cheques bancários: Armazenamento e recuperação de informações ». Revista Controle & Automaçäo, vol. 12, nº 1. pp. 52-63.

Koerich, Alessandro L., Sabourin, Robert et Suen, C. Y.. 2003. « Large vocabulary off-line handwriting recognition : a survey ». Pattern Analysis and Applications, vol. 6, nº 2. pp. 97-121.
Compte des citations dans Scopus : 125.

Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y.. 2003. « Lexicon-driven HMM decoding for large vocabulary handwriting recognition with multiple character models ». International Journal on Document Analysis and Recognition, vol. 6, nº 2. pp. 126-144.
Compte des citations dans Scopus : 22.

Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y.. 2005. « Recognition and verification of unconstrained handwritten words ». IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, nº 10. pp. 1509-1522.
Compte des citations dans Scopus : 65.

L. Koerich, Alessandro. 2004. « Reconhecimento de palavras manuscritas usando modelos de Markov ». IEEE Latin America Transactions, vol. 2, nº 2. pp. 132-141.
Compte des citations dans Scopus : 1.

Lee, Luan L., Lizarraga, Miguel G., Gomes, Natanael R. et Koerich L., Alessandro. 1997. « A prototype for Brazilian bankcheck recognition ». International Journal of Pattern Recognition and Artificial Intelligence, vol. 11, nº 4. pp. 549-569.
Compte des citations dans Scopus : 27.

Lidy, Thomas, Silla Jr, Carlos N., Cornelis, Olmo, Gouyon, Fabien, Rauber, Andreas, Kaestner, Celso A. A. et Koerich, Alessandro L.. 2010. « On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections ». Signal Processing, vol. 90, nº 4. pp. 1032-1048.
Compte des citations dans Scopus : 41.

Mello, Alexandre R., Stemmer, Marcelo R. et Koerich, Alessandro L.. 2020. « Incremental and decremental fuzzy bounded twin support vector machine ». Information Sciences, vol. 526. pp. 20-38.
Compte des citations dans Scopus : 31.

Oliveira, L., Koerich, A. L., Mansano, M. et Britto, A. S.. 2011. « 2D principal component analysis for face and facial-expression recognition ». Computing in Science & Engineering, vol. 13, nº 3. pp. 9-13.
Compte des citations dans Scopus : 33.

Oliveira, Luiz E. S., Cavalin, Paulo R., Britto Jr., Alceu S. et Koerich, Alessandro L.. 2008. « Inspeção automática de defeitos em madeiras de pinus usando visão computacional ». Revista de Informática Teórica e Aplicada, vol. 15, nº 2. pp. 203-217.

Paixao, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessandro L., Badue, Claudine, De Souza, Alberto F. et Oliveira-Santos, Thiago. 2022. « A human-in-the-loop recommendation-based framework for reconstruction of mechanically shredded documents ». Pattern Recognition Letters, vol. 164.

Paixão, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessandro L., Badue, Claudine, De Souza, Alberto F. et Oliveira-Santos, Thiago. 2020. « Self-supervised deep reconstruction of mixed strip-shredded text documents ». Pattern Recognition, vol. 107.
Compte des citations dans Scopus : 12.

Pontes, Jhony K., Britto, Alceu S., Fookes, Clinton et Koerich, Alessandro L.. 2016. « A flexible hierarchical approach for facial age estimation based on multiple features ». Pattern Recognition, vol. 54. pp. 34-51.
Compte des citations dans Scopus : 65.

Ribeiro, R., Borges, A. P., Ulbricht, G. et Koerich L., Alessandro. 2008. « Discovering of action policies in dynamic environments ». Agora. Revista de Divulgaçao Cientifica, vol. 15, nº 1. pp. 175-185.

Ribeiro, R., Koerich L., Alessandro et Enembreck, F.. 2007. « Reinforcement learning: adaptive agents for discovery of policies of action ». Agora. Revista de Divulgaçao Cientifica, vol. 14, nº 1. pp. 9-24.

Rios, Israel, de Souza Britto Jr., Alceu, Koerich, Alessandro Lameiras et Soares Oliveira, Luis Eduardo. 2011. « An OCR free method for word spotting in printed documents: the evaluation of different features sets ». Journal of Universal Computer Science, vol. 17, nº 1. pp. 48-63.

Seger, Rodrigo A., Wanderley, Marcelo M. et Koerich L., Alessandro. 2014. « Automatic detection of musicians’ ancillary gestures based on video analysis ». Expert Systems with Applications, vol. 41, nº 4, Part 2. pp. 2098-2106.
Compte des citations dans Scopus : 11.

Silla, C. N., Koerich, A. L. et Kaestner, C. A. A.. 2009. « A feature selection approach for automatic music genre classification ». International Journal of Semantic Computing, vol. 3, nº 2. pp. 183-208.
Compte des citations dans Scopus : 29.

Silla, Carlos N., Koerich, Alessandro L. et Kaestner, Celso A. A.. 2008. « A machine learning approach to automatic music genre classification ». Journal of the Brazilian Computer Society, vol. 14, nº 3. pp. 7-18.
Compte des citations dans Scopus : 59.

Silva, Hideson Alves da, de Souza Britto Jr, Alceu, Oliveira, Luiz Eduardo Soares de et Koerich, Alessandro L.. 2013. « Network infrastructure design with a multilevel algorithm ». Expert Systems with Applications, vol. 40, nº 9. pp. 3471-3480.
Compte des citations dans Scopus : 2.

Teixeira, Thomas, Granger, Eric et Koerich, Alessandro Lameiras. 2021. « Continuous emotion recognition with spatiotemporal convolutional neural networks ». Applied Sciences, vol. 11, nº 24.
Compte des citations dans Scopus : 5.

Vellasques, E., Oliveira, Luiz S., Britto, Alceu de Souza, Koerich, Alessandro L. et Sabourin, Robert. 2008. « Filtering segmentation cuts for digit string recognition ». Pattern Recognition, vol. 41, nº 10. pp. 3044-3053.
Compte des citations dans Scopus : 35.

Vriesman, Daniel, Britto, Alceu S., Zimmer, Alessandro, Koerich, Alessandro L. et Paludo, Rodrigo. 2019. « Automatic visual inspection of thermoelectric metal pipes ». Signal, Image and Video Processing, vol. 13, nº 5. pp. 975-983.
Compte des citations dans Scopus : 8.

Zavaschi, Thiago H. H., Britto Jr, Alceu S., Oliveira, Luiz E. S. et Koerich L., Alessandro. 2013. « Fusion of feature sets and classifiers for facial expression recognition ». Expert Systems with Applications, vol. 40, nº 2. pp. 646-655.
Compte des citations dans Scopus : 112.

Compte rendu de conférence

Allamy, Safaa et Koerich, Alessandro Lameiras. 2021. « 1D CNN architectures for music genre classification ». In IEEE Symposium Series on Computational Intelligence (SSCI) (Orlando, FL, USA, Dec. 05-07, 2021) Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 22.

Almeida, Paulo, Oliveira, Luiz S., Silva Jr, Eunelson, Britto Jr, Alceu et Koerich, Alessandro. 2013. « Parking space detection using textural descriptors ». In 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, October 13, 2013 - October 16, 2013 (Manchester, UK, Oct. 13-16, 2013) pp. 3603-3608. Manchester, United Kingdom : IEEE Computer Society.
Compte des citations dans Scopus : 32.

Araújo, Voncarlos M., Britto, Alceu S. Jr., Brun, André L., Oliveira, Luiz E. S. et Koerich, Alessandro L.. 2018. « Fine-grained hierarchical classification of plant leaf images using fusion of deep models ». In IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (Volos, Greece, Nov. 5-7, 2018) pp. 1-5. IEEE Computer Society.
Compte des citations dans Scopus : 11.

Araújo, Voncarlos, Britto, Alceu S., Brun, André L., Koerich, Alessandro L. et Palate, Rosane. 2017. « Multiple classifier system for plant leaf recognition ». In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (Banff, AB, Canada, Oct. 05-08, 2017) pp. 1880-1885. IEEE.
Compte des citations dans Scopus : 12.

Aslam, Muhammad Haseeb, Osama Zeeshan, Muhammad, Pedersoli, Marco, Koerich, Alessandro L., Bacon, Simon et Granger, Eric. 2023. « Privileged knowledge distillation for dimensional emotion recognition in the wild ». In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023) pp. 3338-3347. IEEE Computer Society.
Compte des citations dans Scopus : 12.

Aslam, Muhammad Haseeb, Zeeshan, Muhammad Osama, Belharbi, Soufiane, Pedersoli, Marco, Koerich, Alessandro Lameiras, Bacon, Simon et Granger, Eric. 2024. « Distilling privileged multimodal information for expression recognition using optimal transport ». In IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024) Institute of Electrical and Electonics Engineers.
Compte des citations dans Scopus : 1.

Baril, Guillaume, Cardinal, Patrick et Koerich, Alessandro Lameiras. 2022. « Named entity recognition for audio de-identification ». In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 4.

Belharbi, Soufiane, Pedersoli, Marco, Lameiras Koerich, Alessandro, Bacon, Simon et Granger, Eric. 2024. « Guided interpretable facial expression recognition via spatial action unit cues ». In IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024)
Compte des citations dans Scopus : 1.

Bergamini, Cheila, Oliveira, Luiz S., Koerich, Alessandro L. et Sabourin, Robert. 2008. « Fusion of biometric systems using one-class classification ». In IEEE International Joint Conference on Neural Networks (IJCNN) (Hong Kong, China, June 1-8, 2008) pp. 1308-1313. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Compte des citations dans Scopus : 1.

Cardinal, Patrick, Dehak, Najim, Koerich Lameiras, Alessandro, Alam, Jahangir et Boucher, Patrice. 2015. « ETS System for AV+EC 2015 Challenge ». In Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge (Brisbane, Australia, Oct. 26-30, 2015) pp. 17-23. ACM.
Compte des citations dans Scopus : 14.

Cavalin, P., Oliveira, L. S., Koerich, A. L. et Britto, A. S.. 2006. « Wood defect detection using grayscale images and an optimized feature set ». In IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics (Paris, France, Nov. 6-10, 2006) pp. 3408-3412.
Compte des citations dans Scopus : 34.

Clement Allognon, Sevegni Odilon, De Britto, Alceu S. et Lameiras Koerich, Alessandro. 2020. « Continuous emotion recognition via deep convolutional autoencoder and support vector regressor ». In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 10.

Cossetin, Marcelo J., Nievola, Julio C. et L. Koerich, Alessandro. 2016. « Facial expression recognition using a pairwise feature selection and classification approach ». In 2016 International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada, July 24-29, 2016) pp. 5149-5155. IEEE.
Compte des citations dans Scopus : 49.

Costa, C. H. L., Valle Jr., J. D. et Koerich, A. L.. 2004. « Automatic classification of audio data ». In 2004 IEEE International Conference on Systems, Man and Cybernetics (The Hague, Netherlands, Oct. 10-13, 2004) pp. 562-567.
Compte des citations dans Scopus : 33.

Costa, Y., Oliveira, L., Koerich, A. et Gouyon, F.. 2013. « Music genre recognition based on visual features with dynamic ensemble of classifiers selection ». In 2013 International Conference on Systems, Signals and Image Processing (IWSSIP), 7-9 July 2013 (Bucharest, Romania, July 7-9, 2013) pp. 55-58. Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 17.

Costa, Y.M.G., Gouyon, F., Koerich, A. L. et Oliveira, L.E.S.. 2011. « Classificaçao de gêneros musicais por texturas no espaço de frequência ». In XXXVIII Seminário Integrado de Software e Hardware (SEMISH 2011) (Natal, Brasil, July, 2010) pp. 1352-1365.

Costa, Yandre M. G., Oliveira, Luiz S., Koerich, Alessandro L. et Gouyon, Fabien. 2012. « Comparing textural features for music genre classification ». In 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012, June 10, 2012 - June 15, 2012 (Brisbane, Australia, June 10-15, 2012) Coll. « Proceedings of the International Joint Conference on Neural Networks » pp. 1867-1872. Brisbane, QLD, Australia : Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 23.

Costa, Yandre M. G., Oliveira, Luiz S., Koerich, Alessandro L. et Gouyon, Fabien. 2011. « Music genre recognition using spectrograms ». In 2011 18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011, June 16, 2011 - June 18, 2011 (Sarajevo, Bosnia and Herzegovina, June 16-18, 2011) pp. 151-154. IEEE Computer Society.
Compte des citations dans Scopus : 71.

Costa, Yandre, Oliveira, Luiz, Koerich, Alessandro et Gouyon, Fabien. 2013. « Music genre recognition using gabor filters and LPQ texture descriptors ». In 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, November 20, 2013 - November 23, 2013 (Havana, Cuba, Nov. 20-23, 2013) Coll. « Lecture Notes in Computer Science », vol. 8259. pp. 67-74. Havana, Cuba : Springer Verlag.
Compte des citations dans Scopus : 32.

Da S. Dias, Caio, De S. Britto, Alceu, Barddal, Jean P., Heutte, Laurent et Koerich, Alessandro L.. 2022. « Pattern spotting and image retrieval in historical documents using deep hashing ». In IEEE International Conference on Systems, Man, and Cybernetics (SMC) (Prague, Czech Republic, Oct. 09-12, 2022) pp. 2869-2875. Institute of Electrical and Electronics Engineers Inc..

de Matos, Jonathan, de S. Britto Jr, Alceu, de Oliveira, Luiz E. S. et L. Koerich, Alessandro. 2019. « Texture CNN for histopathological image classification ». In IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) (Cordoba, Spain, June 05-07, 2019) pp. 580-583. Los Alamitos, CA, USA : IEEE Computer Society.
Compte des citations dans Scopus : 17.

de Matos, Jonathan, de S. Britto, Alceu Jr., Oliveira, Luiz E. S. et Koerich, Alessandro L.. 2019. « Double transfer learning for breast cancer histopathologic image classification ». In International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019) Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 39.

de Paula, B. C., Enembreck, F. et Koerich, A. L.. 2006. « Agente inteligente para jogos de estrategia baseados em turnos : uma abordagem utilizando planejamiento baseado em casos ». In Digital Proceedings of the V Brazilian Symposium on Computer Games and Digital Entertainment (Recife, Brazil, Nov. 8-10, 2006)

Delazeri, Bruna Rossetto, Vera, Leonardo Leon, Barddal, Jean Paul, Koerich, Alessandro L. et Alceu de, S. Britto. 2022. « Evaluation of self-taught learning-based representations for facial emotion recognition ». In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE.
Compte des citations dans Scopus : 1.

Dittrich, F., Koerich, A. L. et Oliveira, L. E. S.. 2012. « People counting in crowded scenes using multiple cameras ». In 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP) (Vienna, Austria, Apr. 11-13, 2012) pp. 138-141.
Compte des citations dans Scopus : 5.

Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras. 2020. « Detection of adversarial attacks and characterization of adversarial subspace ». In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, Spain, May 04-08, 2020) pp. 3097-3101. Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 17.

Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras. 2022. « Towards robust speech-to-text adversarial attack ». In 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (Singapore, Singapore, May 23-27, 2022) pp. 2869-2873. Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 5.

Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro. 2021. « Class-conditional defense GaN against end-to-end speech attacks ». In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Toronto, ON, Canada - En ligne, June 06-11,, 2021) pp. 2565-2569. Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 15.

Godoy, V., Britto, A. S., Koerich, A., Facon, J. et Oliveira, L. E. S.. 2014. « An HMM-based gesture recognition method trained on few samples ». In 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI) (Limassol, Cyprus, Nov. 10-12, 2014) pp. 640-646.
Compte des citations dans Scopus : 6.

Hochuli, A. G., Britto, A. S. et Koerich, A. L.. 2007. « Detection of non-conventional events on video scenes ». In IEEE International Conference on Systems, Man and Cybernetics, 2007. ISIC, Oct. 7-10, 2007) pp. 302-307.

Hochuli, A. G., Oliveira, L. E. S., Britto, A. S. et Koerich, A. L.. 2007. « Detection and classification of human movements in video scenes ». In Advances in Image and Video Technology. Second Pacific Rim Symposium, PSIVT 2007, 17-19 Dec. 2007 (Santiago, Chile, Dec. 17-19, 2007) Coll. « Lecture Notes in Computer Science », vol. 4872. pp. 678-691. Berlin, Germany : Springer-Verlag.
Compte des citations dans Scopus : 1.

Kalva, P. R., Enembreck, F. et Koerich, A. L.. 2007. « WEB image classification based on the fusion of image and text classifiers ». In Ninth International Conference on Document Analysis and Recognition, 2007. ICDAR 2007 (Parana, Brazil, Sept. 23-26, 2007) pp. 561-568.
Compte des citations dans Scopus : 14.

Koerich, A. L.. 2003. « Improving classification performance using metaclasses ». In IEEE International Conference on Systems, Man and Cybernetics, 2003 (Washington, DC, USA, Oct. 5-8, 2003) pp. 717-722.
Compte des citations dans Scopus : 2.

Koerich, A. L.. 2004. « Rejection strategies for handwritten word recognition ». In Ninth International Workshop on Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004 (Tokyo, Japan, Oct. 26-29, 2004) pp. 479-484.
Compte des citations dans Scopus : 28.

Koerich, A. L.. 2003. « Unconstrained handwritten character recognition using different classification strategies ». In IAPR - TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (Florence, Italy, Sept. 12-13, 2003)

Koerich, A. L.. 2003. « Verification of handwritten words at character level ». In Proceedings of the fifth IASTED International Conference on Signal and Image Processing, August 13-15, 2003, Honolulu, Hawaii, USA (Honolulu, HI, USA, Aug. 13-15, 2003) ACTA Press.

Koerich, A. L., de S Britto Jr., A. et de Oliveira, L. E. S.. 2010. « Verification of unconstrained handwritten words at character level ». In Proceedings 2010 12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010) (Kolkata, India, Nov. 16-18, 2010) pp. 39-44. Los Alamitos, CA, USA : IEEE Computer Society.
Compte des citations dans Scopus : 2.

Koerich, A. L. et Kalva, P. R.. 2005. « Unconstrained handwritten character recognition using metaclasses of characters ». In IEEE International Conference on Image Processing, 2005. ICIP 2005 (Genoa, Italy, Sept. 11-14, 2005) II-542-545.
Compte des citations dans Scopus : 19.

Koerich, A. L. et Lee Luan, Ling. 1997. « Automatic extraction of filled information from bankchecks ». In 1997 IEEE International Conference on Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation (Orlando, FL, USA, Oct. 12-15, 1997) pp. 2151-2156.

Koerich, A. L. et Lee Luan, Ling. 1997. « Compression of bank cheque images based on layout knowledge ». In 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1997. ICASSP-97 (Munich, Germany, Apr. 21-24, 1997) pp. 3185-3188.
Compte des citations dans Scopus : 6.

Koerich, A. L. et Lee, L. L.. 1997. « A methods for bankchecks image storage based on layout knowledge ». In XV Brazilian Symposium of Telecommunications (SBT'97) (Recife, Brazil, Sept. 8-11, 1997) pp. 394-397.

Koerich, A. L. et Lee, L. L.. 1999. « A novel approach for automatic extracting the user-entered data from bankchecks ». In Document analysis systems : theory and practice ; third IAPR workshop ; selected papers (Nagano, Japan, Oct., 1998) Coll. « Lecture notes in computer science », vol. 1655. pp. 141-144.

Koerich, A. L. et Lee, L. L.. 1998. « A system for automatic extraction of the user-entered data from bankchecks ». In Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Rio de Janeiro, Brazil, Jan. 20-23, 1998) pp. 270-277. IEEE.
Compte des citations dans Scopus : 9.

Koerich, A. L. et Lee, L. L.. 1999. « Automatic storage, retrieval and visualization of bank check images ». In Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999. ICDAR '99 (Bangalore, India, Sept. 20-22, 1999) pp. 111-114. IEEE.
Compte des citations dans Scopus : 4.

Koerich, A. L., Leydier, Yann, Sabourin, Robert et Suen, Ching Y.. 2002. « Système hybride de reconnaissance de mots manuscrits sur un grand vocabulaire utilisant des réseaux neuronaux et des modèles de Markov cachés ». In CIFED '2002 : colloque international francophone sur l'écrit et le document : Hammamet, 21-23 octobre 2002 (Hammamet, Tunisie, 21-23 oct. 2002) pp. 325-334. Le Chesnay, Suisse : INRIA.

Koerich, A. L., Muller, H. J. et Sander, R.. 1993. « Dielectric constants in oxadiazol series ». In 45th Meeting of Brazilian Society for the Progress of Science (SBPC) (Recife, Brazil, July, 1993) pp. 21-29.

Koerich, A. L., Muller, H. J. et Sander, R.. 1993. « Ferroelectrical properties of pentilcarboxi-anilina ». In 45th Meeting of Brazilian Society for the Progress of Science (Recife, Brazil, July, 1993) pp. 91-98.

Koerich, A. L. et Poitevin, C.. 2005. « Combination of homogeneous classifiers for musical genre classification ». In 2005 IEEE International Conference on Systems, Man and Cybernetics (Waikoloa, HI, USA, Oct. 10-12, 2005) pp. 554-559.
Compte des citations dans Scopus : 10.

Koerich, A. L., Sabourin, R., Suen, C. Y. et El-Yacoubi, A.. 2000. « A syntax directed level building algorithm for large vocabulary handwritten word recognition ». In Fourth IAPR International Workshop on Document Analysis Systems, (DAS 2000) (Rio de Janeiro, Brazil, 10-13 December 2000) pp. 255-266.

Koerich, Alessandro L.. 2013. « Improving the reliability of music genre classification using rejection and verification ». In Proceedings of the 14th International Society for Music Information Retrieval, ISMIR 2013 (Curitiba, Brasil, Nov. 4-8, 2013) pp. 511-516.
Compte des citations dans Scopus : 3.

Koerich, Alessandro L., Britto Jr, Alceu S., Oliveira, Luiz E. S. et Sabourin, Robert. 2006. « Fusing high- and low level features for handwritten word recognition ». In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006) pp. 151-156.

Koerich, Alessandro L., de Oliveira, Luiz Eduardo Soares et Britto Jr., Alceu S.. 2010. « Face recognition using selected 2DPCA coefficients ». In IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing (Rio de Janeiro, Brazil, June 17-19, 2010) pp. 490-494.

Koerich, Alessandro L. et Lee, Luan Ling. 1997. « Automatic extraction of filled-in information from bankchecks based on prior knowledge about layout structure ». In Advances in Document Image Analysis. First Brazilian Symposium, BSDIA'97 Curitiba, Brazil, November 2–5, 1997 Proceedings (Curitiba, Brazil, Nov. 2-5, 1997) Coll. « Lecture Notes in Computer Science », vol. 1339. pp. 322-333. Springer Berlin Heidelberg.
Compte des citations dans Scopus : 2.

Koerich, Alessandro L., Leydier, Yann, Sabourin, Robert et Suen, Ching Y.. 2002. « A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models ». In 8th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Ontario, Canada, Aug. 6-8, 2002) pp. 99-104. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Compte des citations dans Scopus : 25.

Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y.. 2001. « A distributed scheme for lexicon-driven handwritten word recognition and its application to large vocabulary problems ». In 6th International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001) pp. 660-664. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Compte des citations dans Scopus : 2.

Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y.. 2001. « A time-length constrained level building algorithm for large vocabulary handwritten word recognition ». In Second International Conference on Advances in Pattern Recognition (Rio de Janeiro, Brazil, March 11-14, 2001) pp. 127-136. Berlin, Germany : Springer-Verlag.
Compte des citations dans Scopus : 5.

Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y.. 2004. « Fast two-level HMM decoding algorithm for large vocabulary handwriting recognition ». In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (Tokyo, Japan, Oct. 26-29, 2004) pp. 232-237. Los Alamitos, CA, USA : Institute of electrical and Electronics Engineers Computer Society.
Compte des citations dans Scopus : 5.

Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y.. 2002. « Fast two-level Viterbi search algorithm for unconstrained handwriting recognition ». In IEEE International Conference on Acoustics, Speech and Signal Processing (Orlando, FL, USA, May 13-17, 2002) IV/3537-IV/3540. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Compte des citations dans Scopus : 4.

Lisboa de Almeida, P. R., de Souza Britto Jr., A., da Silva Junior, E. J., Soares de Oliveira, L. E., Montes Celinski, T. et Koerich, A. L.. 2012. « Music genre classification using dynamic selection of ensemble of classifiers ». In 2012 IEEE International Conference on Systems, Man and Cybernetics (SMC2012). Proceedings (Seoul, South Korea, Oct. 14-17, 2012) pp. 2700-2705. Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 11.

Lopes, M. T., Kaestner, C. A. A., Silla Jr., C. N. et Koerich, A. L.. 2011. « Identificação automática de espécies de pássaros a partir da análise do canto ». In 13th Brazilian Symposium on Computer Music (SBCM) (Vitoria, Brasil, Aug. 31-Sept. 3, 2011) pp. 1-4.

Lopes, M. T., Lameiras Koerich, A., Nascimento Silla, C. Jnr et Alves Kaestner, C. A.. 2011. « Feature set comparison for automatic bird species identification ». In 2011 IEEE International Conference on Systems, Man and Cybernetics, 9-12 Oct. 2011 (Anchorage, AK, USA, Oct. 9-12, 2011) pp. 965-970. Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 30.

Lopes, Marcelo T., Gioppo, Lucas L., Higushi, Thiago T., Kaestner, Celso A. A., Silla Jr, Carlos N. et Koerich, Alessandro L.. 2011. « Automatic bird species identification for large number of species ». In Proceedings - 2011 IEEE International Symposium on Multimedia, ISM 2011 (Dana Point, CA, USA, Dec. 5-7, 2011) pp. 117-122. Dana Point, CA, USA : IEEE Computer Society.
Compte des citations dans Scopus : 55.

Lopes, Miguel, Gouyon, Fabien, Koerich, Alessandro L. et Oliveira, Luiz E. S.. 2010. « Selection of training instances for music genre classification ». In Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (Istanbul, Turkey, Aug. 23-26, 2010) pp. 4569-4572. Istanbul, Turkey : Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 26.

Mansano, M., Pavesi, L., Oliveira, L. S., Britto Jr, A. et Koerich, A.. 2011. « Inspection of metallic surfaces using Local Binary Patterns ». In 37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011, November 7, 2011 - November 10, 2011 (Melbourne, VIC, Australia, Nov. 7-10, 2011) Coll. « IECON Proceedings (Industrial Electronics Conference) » pp. 2227-2231. Melbourne, VIC, Australia : IEEE Computer Society.
Compte des citations dans Scopus : 10.

Marini, A. et Koerich L., Alessandro. 2008. « Estratégias de rejeiçao para problemas multiclasses ». In XXXIV Conferencia Latinoamericana de Informatica (CLEI 2008) (Santa Fé, Argentina, Sept. 8-12, 2008) pp. 162-171.

Marini, Andreia, Facon, Jacques et Koerich, Alessandro L.. 2013. « Bird species classification based on color features ». In 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, October 13, 2013 - October 16, 2013 (Manchester, UK, Oct. 13-16, 2013) pp. 4336-4341. IEEE Computer Society.
Compte des citations dans Scopus : 32.

Marini, Andréia, Koerich, Alessandro L. et Florido, Irapuru H.. 2013. « Classificação de espécies de pássaros utilizando características de textura ». In X Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC) (Fortaleza, Ceara, Brasil, Oct. 20-24, 2013)

Marini, Andreia, Turatti, A. J., Britto, A. S. et Koerich, Alessandro L.. 2015. « Visual and acoustic identification of bird species ». In Proceedings of the International Conference on Acoustics, Speech and Signal Processing ICASSP 2015 (Brisbane, Australia, Apr. 19-24, 2015) pp. 2309-2313.
Compte des citations dans Scopus : 25.

Michel Koerich, Karl, Esmailpour, Mohammad, Abdoli, Sajjad, Britto, Alceu De S. et Lameiras Koerich, Alessandro. 2020. « Cross-representation transferability of adversarial attacks: From spectrograms to audio waveforms ». In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) IEEE.
Compte des citations dans Scopus : 13.

Mpinda Ataky, Steve Tsham, De Matos, Jonathan, Britto, Alceu De S., Oliveira, Luiz E. S. et Koerich, Alessandro L.. 2020. « Data augmentation for histopathological images based on gaussian-laplacian pyramid blending ». In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 16.

Ortega, Juan D. S., Cardinal, Patrick et L. Koerich, Alessandro. 2019. « Emotion recognition using fusion of audio and video features ». In IEEE International Conference on Systems, Man and Cybernetics (SMC) (Bari, Italy, Oct. 06-09, 2019) pp. 3847-3852. Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 32.

Paixao, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessandro L., Badue, Claudine, De Souza, Alberto F. et Oliveira-Santos, Thiago. 2020. « Fast(er) reconstruction of shredded text documents via self-supervised deep asymmetric metric learning ». In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (En ligne, June 13-19, 2020) pp. 14331-14339. IEEE Computer Society.
Compte des citations dans Scopus : 7.

Pontes, Jhony K., Fookes, Clinton, Britto Jr, Alceu et L. Koerich, Alessandro. 2017. « Two-stage facial age prediction using group-specific features ». In 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (New Orleans, LA, USA, Mar. 05-09, 2017) pp. 2577-2581. IEEE.

Praveen, R. G., de Melo, W. C., Ullah, N., Aslam, H., Zeeshan, O., Denorme, T., Pedersoli, M., Koerich, A. L., Bacon, S., Cardinal, P. et Granger, E.. 2022. « A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ». In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022) pp. 2485-2494. Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 36.

Ribeiro, R., Favarim, F., Barbosa, M. A. C., Koerich, A. L. et Enembreck, F.. 2013. « Combining learning algorithms: An approach to Markov decision processes ». In Enterprise Information Systems : 14th International Conference, ICEIS 2012, Wroclaw, Poland, June 28 - July 1, 2012, Revised Selected Papers (Wroclaw, Poland, June 28-July 01, 2012) Coll. « Lecture Notes in Business Information Processing », vol. 141. pp. 172-188. Springer Verlag.
Compte des citations dans Scopus : 1.

Ribeiro, R., Favarim, F., Barbosa, M. A. C., Pinz Borges, A., Betazzi Dordal, O., Koerich, A. L. et Enembreck, F.. 2012. « Unified algorithm to improve reinforcement learning in dynamic environments an instance-based approach ». In ICEIS 2012. 14th International Conference on Enterprise Information Systems. Proceedings (Wroclaw, Poland, June 28-July 1, 2012) pp. 229-238. Setubal, Portugal : INSTICC Press.
Compte des citations dans Scopus : 4.

Ribeiro, R., Koerich, A. L. et Enembreck, F.. 2007. « Noise tolerance in reinforcement learning algorithms ». In IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007. IAT '07 (Fremont, CA, USA, Nov. 2-5, 2007) pp. 265-268.
Compte des citations dans Scopus : 5.

Ribeiro, Richardson, Borges, Andre P., Koerich, Alessandro L., Scalabrin, Edson E. et Enembreck, Fabricio. 2009. « A strategy for converging dynamic action policies ». In 2009 IEEE Symposium on Intelligent Agents, IA 2009 - Proceedings (Nashville, TN, USA, Mar. 30- Apr. 2, 2009) pp. 136-143. Nashville, TN, USA : Inst. of Elec. and Elec. Eng. Computer Society.
Compte des citations dans Scopus : 3.

Ribeiro, Richardson, Enembreck, Fabrício et Koerich, Alessandro L.. 2006. « A hybrid learning strategy for discovery of policies of action ». In Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 : 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Ribeirão Preto, Brazil, October 23-27, 2006. Proceedings (Ribeirão Preto, Brazil, Oct. 23-27, 2006) Coll. « Lecture Notes in Computer Science », vol. 4140. pp. 268-277. Springer Berlin Heidelberg.
Compte des citations dans Scopus : 7.

Ribeiro, Richardson, Koerich, Alessandro L. et Enembreck, Fabrício. 2006. « Uma nova metodologia para avaliaçao da performance de algoritmos baseados em aprendizagem por reforço ». In Anais do XXVI Congresso da SBC. SEMISH XXXIII Seminário Integrado de Software e Hardware (Campo Grande, Brasil, July 14-20, 2006) pp. 433-446.

Rios, Israel, Britto Jr, Alceu S., Koerich, Alessandro L. et Oliveira, Luiz E. S.. 2010. « Evaluation of different feature sets in an OCR free method for word spotting in printed documents ». In APPLIED COMPUTING 2010 - Proceedings of the 25th Annual ACM Symposium on Applied Computing (Sierre, Switzerland, Mar. 22-26, 2010) pp. 52-56. Sierre, Switzerland : Association for Computing Machinery.
Compte des citations dans Scopus : 2.

Santos, M., Oliveira, L., Sabourin, Robert, Koerich, A. et Britto Jr., A.. 2008. « Combinando caracteristicas complementares em modelos escondidos de markov: uma otimizaçao para o reconhecimento de caracteres manuscritos ». In Conferencia Latinoamericana de Informatica (CLEI) (Santa Fe, Argentina, Sept. 8-12, 2008) pp. 260-269.

Santos, Murilo, Ko, Albert Hung-Ren, Oliveira, Luis S., Sabourin, Robert, Koerich, Alessandro L. et Britto, Alceu de Souza. 2009. « Evaluation of different strategies to optimize an HMM-based character recognition system ». In 10th International Conference on Document Analysis and Recognition (ICDAR) (Barcelona, Spain, July 26-29, 2009) pp. 666-670. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.
Compte des citations dans Scopus : 1.

Schneider, M. C., Galup-Montoro, C., Koerich, A. L. et Pinto, R. L. O.. 1994. « MOSFET threshold extraction from voltage-only measurements ». In IX Brazilian Microelectronics Congress (SBMICRO'1994) (Rio de Janeiro, Brazil, Aug., 1994) pp. 216-222.
Compte des citations dans Scopus : 7.

Seger, R. A., Wanderley, M. M. et Koerich, A. L.. 2013. « Detecçao de movimentos auxiliares de clarinetistas atraves de visao computacional ». In 14th SBCM - Brazilian Symposium on Computer Music 2013, Proceedings (Brazilia, Brasil, Oct. 31-Nov. 2, 2013) pp. 117-126.

Senoussaoui, Mohammed, Cardinal, Patrick, Dehak, Najim et Koerich, Alessandro L.. 2016. « Native language detection using the i-vector framework ». In 17th Annual Conference of the International Speech Communication Association (INTERSPEECH) (San Francisco, CA, USA, Sept. 08-16, 2016) pp. 2398-2402. Baixas, France : International Speech and Communication Association.
Compte des citations dans Scopus : 5.

Silla Jr, Carlos N., Koerich, Alessandro L. et Kaestner, Celso A. A.. 2010. « Improving automatic music genre classification with hybrid content-based feature vectors ». In APPLIED COMPUTING 2010 - Proceedings of the 25th Annual ACM Symposium on Applied Computing (Sierre, Switzerland, Mar. 22-26, 2010) pp. 1702-1707. Sierre, Switzerland : Association for Computing Machinery.
Compte des citations dans Scopus : 15.

Silla Jr, Carlos N., Koerich, Alessandro L. et Kaestner, Celso A. A.. 2008. « The latin music database ». In 9th International Conference on Music Information Retrieval, ISMIR 2008, September 14, 2008 - September 18, 2008 (Philadelphia, PA, USA, Sept. 14-18, 2008) pp. 451-456. Philadelphia, PA, USA : Drexel University.
Compte des citations dans Scopus : 91.

Silla Jr., C. N., Kaestner, C. A. A. et Koerich, A. L.. 2011. « Classificação de gêneros musicais utilizando vetores de característica híbridos ». In 13th Brazilian Symposium on Computer Music (SBCM) (Vitoria, Brasil, Aug. 31-Sept. 3, 2011) pp. 32-44.

Silla Jr., C. N., Kaestner, C. A. A. et Koerich, A. L.. 2007. « The latin music database: uma base de dados para a classificaçao automatica de generos musicais ». In SBCM 2007 Proceedings (São Paulo, Brazil, Sept. 1-3, 2007) pp. 167-174.

Silla Jr., C. N., Kaestner, C. A. et Koerich, A. L.. 2005. « Classificação automática de gêneros musicais utilizando métodos de bagging e boosting ». In 10th Brazilian Symposium on Computer Music (SBCM) (Belo Horizonte, Brasil, Oct. 3-5, 2005) pp. 48-57.

Silla, C. N., Kaestner, C. A. A. et Koerich, A. L.. 2007. « Automatic music genre classification using ensemble of classifiers ». In IEEE International Conference on Systems, Man and Cybernetics, 2007. ISIC (Montreal, QC, Canada, Oct. 7-10, 2007) pp. 1687-1692.
Compte des citations dans Scopus : 46.

Silla, C. N., Kaestner, C. A. A. et Koerich, Alessandro L.. 2006. « Automatic genre classification of Latin music using ensemble of classifiers ». In Anais do XXVI Congresso da SBC. SEMISH XXXIII Seminário Integrado de Software e Hardware (Campo Grande, Brazil, July 14-20, 2006) pp. 47-53.

Silla, Carlos N. Jr., Kaestner, Celso A A. et Koerich, Alessandro L.. 2006. « Time-space ensemble strategies for automatic music genre classification ». In Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 : 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Ribeirão Preto, Brazil, October 23-27, 2006. Proceedings (Ribeirão Preto, Brazil, Oct. 23-27, 2006) Coll. « Lecture Notes in Computer Science », vol. 4140. pp. 339-348. Springer Berlin Heidelberg.
Compte des citations dans Scopus : 4.

Silla, Carlos N. Jr, L. Koerich, Alessandro et Kaestner, Celso A. A.. 2008. « Feature selection in automatic music genre classification ». In 10th IEEE International Symposium on Multimedia, ISM 2008 (Berkeley, CA, USA, Dec. 15-17, 2008) pp. 39-44. IEEE.
Compte des citations dans Scopus : 29.

Silva, Eunelson J., Britto, Alceu S., Oliveira, Luiz S., Enembreck, Fabricio, Sabourin, Robert et Koerich, Alessandro L.. 2017. « A two-step cascade classification method ». In 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017) pp. 573-580. Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 5.

Silva, H. A., Britto, A. S., Oliveira, L. E. S. et Koerich, A. L.. 2011. « A multilevel algorithm for the network design problem ». In IECON 2011 - 37th Annual Conference of IEEE Industrial Electronics, 7-10 Nov. 2011, Nov. 7-10, 2011) pp. 2300-2304. Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 1.

Tannugi, D. C., Britto, A. S. et Koerich, A. L.. 2019. « Memory integrity of CNNs for cross-dataset facial expression recognition ». In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (Bari, Italy, Oct. 06-09, 2019) pp. 3826-3831. Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 1.

Valle, J. D., Oliveira, L. E. S., Koerich, A. L. et Britto, A. S.. 2007. « People counting in low density video sequences ». In Advances in Image and Video Technology : Second Pacific Rim Symposium, PSIVT 2007 Santiago, Chile, December 17-19, 2007 Proceedings (Santiago, Chile, Dec. 17-19, 2007) Coll. « Lecture Notes in Computer Science », vol. 4872. pp. 737-748. Springer Berlin Heidelberg.
Compte des citations dans Scopus : 6.

Valle J. D., Jr., Oliveira, L. E. S. et Koerich, Alessandro L.. 2008. « Automatic people counting in videos from oblique viewing cameras ». In IEEE Andescon 2008 (Cuzco, Peru, Oct. 15-17. 2008)

Vellasques, E., Oliveira, L.S., Britto Jr, A. S., Koerich, A. L. et Sabourin, Robert. 2006. « Modeling segmentation cuts using support vector machines ». In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006) pp. 41-46.

Vriesman, Daniel, Britto Jr., Alceu S., Zimmer, Alessandro et Lameiras Koerich, Alessandro. 2019. « Texture CNN for thermoelectric metal pipe image classification ». In IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Los Alamitos, CA, USA, Nov. 04-06, 2019) pp. 569-574. IEEE Computer Society.
Compte des citations dans Scopus : 9.

Vriesmann, Leila M., Britto, Alceus S. Jr., Oliveira, Luiz S., Koerich, Alessandro L. et Sabourin, Robert. 2015. « Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection ». In 2015 International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015) Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 16.

Waligora, Paul, Haseeb Aslam, Muhammad, Zeeshan, Muhammad Osama, Belharbi, Soufiane, Koerich, Alessandro Lameiras, Pedersoli, Marco, Bacon, Simon et Granger, Eric. 2024. « Joint multimodal transformer for emotion recognition in the wild ». In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Seattle, WA, USA, June 17-18, 2024) pp. 4625-4635. IEEE Computer Society.

Wiggers, K. L., Britto, A. S., Heutte, L., Koerich, A. L. et Oliveira, L. S.. 2019. « Image retrieval and pattern spotting using siamese neural network ». In Proceedings of the International Joint Conference on Neural Networks (Budapest, Hungary, July 14-19, 2019) Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 26.

Wiggers, Kelly L., Britto, Alceu S., Heutte, Laurent, Koerich, Alessandro L. et Oliveira, Luiz Eduardo S.. 2018. « Document image retrieval using deep features ». In 2018 International Joint Conference on Neural Networks (IJCNN 2018) (Rio de Janeiro, Brazil, July 08-13, 2018) Piscataway, NJ, USA : IEEE.
Compte des citations dans Scopus : 11.

Zavaschi, T. H. H., Koerich, A. L. et Oliveira, L. E. S.. 2011. « Facial expression recognition using ensemble of classifiers ». In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Prague, Czech Republic, May 22-27, 2011) pp. 1489-1492. Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 31.

Zeeshan, Muhammad Osama, Aslam, Muhammad Haseeb, Belharbi, Soufiane, Koerich, Alessandro Lameiras, Pedersoli, Marco, Bacon, Simon et Granger, Eric G.. 2024. « Subject-based domain adaptation for facial expression recognition ». In IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024) Institute of Electrical and Electronics Engineers Inc..
Compte des citations dans Scopus : 1.

Chapitre de livre

Lee, L. L., Lizarraga, M. E., Gomes, N. R. et Koerich L., Alessandro. 1997. « A prototype for Brazilian bankcheck recognition in automatic bankcheck processing ». In Automatic bankcheck processing. Coll. « Series in Machine Perception and Artificial Intelligence », 28. pp. 87-108. World Scientific Publishing.

Communication

Corso, D. A., Almeida, R. H. P., Britto Jr., A. S., Koerich, A. L. et Oliveira, L. E. S.. 2006. « Utilizando momentos invariantes para o reconhecimento de padrões em um sistema de visão computacional ». Communication lors de la conférence : XV Encontro Anual de Iniciação Científica (EAIC) (Ponta Grossa, Brasil, Aug. 22-25, 2006).

Corso, D. A., Almeida, R. H. P., Britto Jr., A. S., Koerich, A. L. et Oliveira, L. E. S.. 2006. « Visão computacional: sistemas de visão aplicados a inspeção industrial ». Communication lors de la conférence : XV Encontro Anual de Iniciação Científica (EAIC) (Ponta Grossa, Brasil, Aug. 22-25, 2006).

Costa, C. H. L. et Koerich, A. L.. 2004. « Busca e recuperação automática de áudio digital baseada na análise do conteúdo ». Communication lors de la conférence : XII Seminário de Iniciação Científica e VI Mostra de Pesquisa (Curitiba, Brasil, Nov., 2004).

Koerich, A. L. et Scheneider, M. C.. 1994. « A new approach for MOSFET features extraction ». Communication lors de la conférence : X South Brazilian Conference of Science and Technology (Blumenau, Brazil, Nov., 1994).

Koerich, A. L. et Scheneider, M. C.. 1994. « A new approach for MOSFET features extraction ». Communication lors de la conférence : IV State Conference of Science (Florianópolis, Brazil, Aug., 1994).

Koerich, A. L. et Scheneider, M. C.. 1993. « Application of compound transistors in analog circuits design using sea-of-transistors ». Communication lors de la conférence : IX South Brazilian Conference of Science and Technology (Santa Maria, Brazil, Nov., 1993).

Koerich, A. L. et Scheneider, M. C.. 1993. « Compound transistors for analog MOS integrated circuits design on digital gate-arrays ». Communication lors de la conférence : IV State Conference of Science (Florianópolis, Brazil, Aug., 1993).

Koerich, A. L. et Scheneider, M. C.. 1994. « Compound transistors for high gain and high frequency applications ». Communication lors de la conférence : X South Brazilian Conference of Science and Technology (Blumenau, Brazil, Nov., 1994).

Koerich, A. L. et Scheneider, M. C.. 1994. « MOSFET features extraction ». Communication lors de la conférence : X Brazilian Conference of Science and Technology (São Carlos, Brazil, Dec., 1994).

Koerich, A. L. et Scheneider, M. C.. 1994. « Series-parallel association of FET's for high gain and high frequency applications ». Communication lors de la conférence : X Brazilian Conference of Science and Technology (São Carlos, Brazil, Dec., 1994).

Nagornni Jr., R. et Koerich, A. L.. 2005. « Localização e segmentação de texto em vídeo digital ».

Rocha, G. M., Szczepanik, T. E. et Koerich, A. L.. 2005. « Detecção e segmentação de objetos de interesse em vídeo digital ».

Szczepanik, T. E., Rocha, G. M. et Koerich, A. L.. 2006. « Classificação de objetos de interesse em vídeo digital ». Communication lors de la conférence : XIV Seminário de Iniciação Científica & VIII Mostra de Pesquisa da PUCPR (Curitiba, Brasil, Oct., 2006).

Valle Jr., J. D. et Koerich, A. L.. 2004. « Técnicas de pré-processamento e extração de características de áudio para a classificação de gêneros musicais ».

Yee, M. Y. et Koerich, A. L.. 2006. « Reconhecimento de texto em vídeo digital ». Communication lors de la conférence : XIV Seminário de Iniciação Científica & VIII Mostra de Pesquisa da PUCPR (Curitiba, Brasil, Oct., 2006).

Brevet

de Oliveira, L. E. S., Britto Jr., A. S. et Koerich, A. L. (inventeurs) mars 2006. « A method to inspect containers ». (INPI), National Institute of Industrial Property (titulaire(s)). Brevet brésilien PI0600752-0.

de Oliveira, L. E. S., Britto Jr., A. S et Koerich, A. L. (inventeurs) octobre 2007. « Computational process for wood image analysis ». (INPI), National Institute of Industrial Property (titulaire(s)). Brevet brésilien PI0704329-5.

Koerich, A. L. et Lee, L. L. (inventeurs) avril 1998. « A method and system for automatic extraction of filled-in Information from bankchecks ». (INPI), National Institute of Industrial Property (titulaire(s)). Brevet brésilien PI9801896-5.

Mémoire ou thèse

Koerich L., Alessandro. 1997. « A proposal for bank cheques images processing: information extraction and storage ». Mémoire de maîtrise. Brazil, School of Electrical and Computer Engineering, University of Campinas, Brazil

Koerich, Alessandro L.. 2002. « Large vocabulary off-line handwriting recognition ». Thèse de doctorat. Montreal, QC, Canada, École de technologie supérieure