Alessandro Lameiras Koerich
Professor
Department of Software Engineering and IT
Office: A-4487
Telephone: 514-396-8574
Fax: 514 396-8405
alessandro.lameiras-koerich@etsmtl.ca
Alessandro L. Koerich is a professor in the Department of Software Engineering and IT at ÉTS, University of Quebec, Montreal, Canada.
He was at the Pontifical Catholic University of Paraná (PUCPR) in Brazil, where he became a full professor in 2010 and served as Director of Graduate Studies in Computer Science from 2006 to 2008. From 2009 to 2015, he was also an Associate Professor in the Department of Electrical Engineering of the Federal University of Paraná (UFPR). Dr. Koerich is co-founder of InviSys, an SME that develops computer vision systems.
+ Research
Professor Koerich is particularly interested in the following topics:
- Machine learning
- Multimodal deep learning
- Big analytical data
- Emotional Informatics
- Content search and descriptors for audio and music
+ Education
Bachelor’s degree course in Software Engineering / Information Technology Engineering:
- GTI770 – Intelligent Systems and Machine Learning (E15)
- GTI770 – Intelligent Systems and Machine Learning (H16)
- LOG635 – Intelligent systems and algorithms (E16)
- GTI770 – Intelligent systems and machine learning (E16)
- GTI770 – Intelligent Systems and Machine Learning (H17)
- GTI770 – Intelligent systems and machine learning (E17)
- GTI770 – Intelligent Systems and Machine Learning (H18)
- GTI770 – Intelligent systems and machine learning (E18)
Master’s Program in IT Engineering / PhD in Engineering:
+ Associate Editor
+ Member of Scientific Committees
- International Conference on Internet of Things and Big Data, Porto, Portugal, 2018.
- International Conference on Internet of Things and Big Data, Porto, Portugal, 2017.
- International Conference on Internet of Things and Big Data, Rome, Italy, 2016
- 15th International Conference on Frontiers in Handwriting Recognition, Shengen, China, 2016.
- 13th Brazilian Meeting on Artificial and Computational Intelligence, Recife, Brazil, 2016.
- 13th International Conference on Document Analysis and Recognition, Tunis, Tunisia, 2015.
- 14th International Conference on Frontiers in Handwriting Recognition, Crete Island, Greece, 2014.
- 27th SIBGRAPI Conference on Graphics, Patterns and Images, Rio de Janeiro, Brazil, 2014.
- 11th Brazilian Meeting on Artificial and Computational Intelligence, São Carlos, Brazil, 2014.
- 12th International Conference on Document Analysis and Recognition, Washington DC, USA, 2013.
- 26th SIBGRAPI Conference on Graphics, Patterns and Images, Arequipa, Peru, 2013. 10th Brazilian Artificial Intelligence Meeting, Fortaleza, Brazil, 2013.
- 13th International Conference on Frontiers in Handwriting Recognition, Bari, Italy, 2012.
- 25th SIBGRAPI Conference on Graphics, Patterns and Images, Ouro Preto, Brazil, 2012.
- 9th Brazilian Artificial Intelligence Meeting, Curitiba, Brazil, 2012.
- 8th Brazilian Artificial Intelligence Meeting, Natal, Brazil, 2011.
- 24th SIBGRAPI Conference on Graphics, Patterns and Images , Maceió, Brazil, 2011.
- 23rd SIBGRAPI Conference on Graphics, Patterns and Images, Gramado, Brazil, 2010.
- 12th International Conference on Frontiers in Handwriting Recognition, Kolkota, India, 2010.
- 15th Iberoamerican Congress on Pattern Recognition, São Paulo, Brazil, 2010.
- 6th Sound and Music Computing Conference, Porto, Portugal, 2009.
- 7th Brazilian Artificial Intelligence Meeting, Bento Gonçalves, Brazil, 2009.
- 11th International Conference on Frontiers in Handwriting Recognition, Montreal, Canada, 2008.
- 9th International Conference on Document Analysis and Recognition, Curitiba, Brazil, 2007.
- 4o IEEE Congreso de Electrónica, Robótica y Mecánica Automotriz, Cuernavaca, México, 2007.
- 10th International Workshop on Frontiers in Handwriting Recognition, La Baule, France, 2006.
- 3o IEEE Congreso Internacional del Área Andina, Quito, Ecuador, 2006.
- 3o IEEE Congreso de Electrónica, Robótica y Mecánica Automotriz, Cuernavaca, México, 2006.
- 2o IEEE Congreso de Electrónica, Robótica y Mecánica Automotriz, Cuernavaca, México, 2005.
- 13th Regional School of Informatics, Guarapuava, Brazil, 2004. Workcomp Sul, Palhoça, Brazil, 2004.
+ Evaluator
- IEEE Transactions on Audio, Speech, and Language Processing
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Transactions on Multimedia
- IEEE Transactions of Pattern Analysis and Machine Intelligence
- IEEE Signal Processing Letters
- IEEE Latin America Transactions
- IET Information Security
- Pattern Recognition
- Pattern Recognition Letters
- International Journal on Pattern Recognition and Artificial Intelligence
- International Journal on Neural Systems
- EURASIP Journal on Advance in Signal Processing
- Computer Music Journal
- Journal of Ambient Intelligence and Humanized Computing
- Brazilian Automatic Society Journal
- Expert Systems with Applications
- Applied Sciences
- PLoS-One
I have been teaching for more than two decades in several universities: Federal Technological University of Paraná (UTFPR – Brazil) [1997-1998], Pontifical Catholic University of Paraná (PUCPR – Brazil) [2002-2015], University of Curitiba (UniCuritiba – Brazil) [2003-2005], Federal University of Paraná (UFPR – Brazi) [2009-2015].
+ Winter 2016
- GTI770 – Intelligent Systems and Machine Learning (ÉTS) (57 undergraduate students of Software Engineering and IT Engineering).
+ Summer 2015
- GTI770 – Intelligent Systems and Machine Learning (ÉTS) (45 undergraduate students of Software Engineering and IT Engineering): Introductory course that gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as feature extraction and classification and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, ensembles of classifiers and rejection. The course gives the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work.
+ Winter/Spring 2014
- TE826 – Machine Learning (UFPR-Brazil) ( (21 graduate students of Electrical Engineering)
- TE256 – Reliability of Electronic Systems (UFPR-Brazil) (21 undergraduate students of Electrical Engineering)
+ Summer/Fall 2014
- Machine Learning (PUCPR-Brazil) (12 graduate students)
- Algorithms and Programming B (PUCPR-Brazil) (60 undergraduate students): Introductory course on algorithms and structured programming using Visual Basic.
- TE256 – Electronic Imaging Systems (UFPR-Brazil) (27 undergraduate students): Advanced level course on television principles, HDTV and digital television.
- TE266 – Electronic Audio Systems (UFPR-Brazil) (30 undergraduate students): Advanced level course on audio systems, including audio generation, processing and computer music.
- TE052 – Lab of Electrical Engineering III (UFPR-Brazil) (58 undergraduate students): Fundamental level class emphasizing the experiments with non-linear circuits
+ Winter/Spring 2013
- TE826 – Machine Learning (UFPR-Brazil) (14 graduate students)
- Circuit Analysis II (PUCPR-Brazil) (50 undergraduate students)
- TE216 – Lab of Electronics II (UFPR-Brazil)(50 undergraduate students)
- TE256 – Reliability of Electronic Systems (UFPR-Brazil)(30 undergraduate students): Advanced level class emphasizing the reliability of electronic components and systems.
+ Summer/Fall 2013
- Machine Learning (PUCPR-Brazil) (12 graduate students)
- Circuit Analysis I (PUCPR-Brazil) (48 undergraduate students)
+ Winter/Spring 2012
- TE826 – Machine Learning (UFPR-Brazil) (3 graduate students)
- Circuit Analysis II (PUCPR-Brazil) (50 undergraduate students): Fundamental level class emphasizing the analysis of AC circuits.
- TE216 – Lab of Electronics II (UFPR-Brazil) (50 undergraduate students)
+ Summer/Fall 2012
- Machine Learning(PUCPR-Brazil) (12 graduate students)
- Circuit Analysis I (PUCPR-Brazil)(50 undergraduate students): Fundamental level class emphasizing the analysis of CC circuits.
- TE215 – Lab of Electronics I (UFPR-Brazil) (50 undergraduate students)
- TE214 – Fundamentals of Electronics (UFPR-Brazil) (60 undergraduate students)
+ Winter/Spring 2011
- TE826 – Machine Learning (UFPR-Brazil) (3 graduate students)
- TE216 – Lab of Electronics II (UFPR-Brazil)(50 undergraduate students)
- Law and Legislation for Engineers (PUCPR-Brazil) (25 undergraduate students)
- Pattern Recognition (PUCPR-Brazil) (22 undergraduate students)
+ Summer/Fall 2011
- Machine Learning (PUCPR-Brazil) (6 graduate students)
- TE215 – Lab of Electronics I (UFPR-Brazil)(50 undergraduate students)
- TE214 – Fundamentals of Electronics (UFPR-Brazil)(60 undergraduate students)
- Law and Legislation for Engineers (PUCPR-Brazil) (25 undergraduate students)
- Pattern Recognition (PUCPR-Brazil) (25 undergraduate students)
+ Winter/Spring 2010
- TE826 – Machine Learning (UFPR-Brazil)(3 graduate students)
- TE216 – Lab of Electronics II (UFPR-Brazil)(50 undergraduate students): Fundamental level class emphasizing the experiments with AC circuits using BJT and MOSFET transistors.
- Law and Legislation for Engineers (PUCPR-Brazil) (28 undergraduate students)
- Pattern Recognition (PUCPR-Brazil) (12 undergraduate students)
+ Summer/Fall 2010
- Machine Learning (9 graduate students)
- TE215 – Lab of Electronics I (UFPR-Brazil)(50 undergraduate students): Fundamental level class emphasizing the experiments with electronic circuits using diodes, ampops, and BJT and MOSFET transistors.
- TE214 – Fundamentals of Electronics (UFPR-Brazil)(60 undergraduate students): Introductory course on fundamentals of electronics to sophomore students.
- Analysis and Design of Algorithms (PUCPR-Brazil) (60 undergraduate students)
- Law and Legislation for Engineers (PUCPR-Brazil) (25 undergraduate students)
+ Winter/Spring 2009
- Analysis and Design of Algorithms (PUCPR-Brazil)(60 undergraduate students)
- Law and Legislationfor Engineers(PUCPR-Brazil) (25 undergraduate students)
- Pattern Recognition (PUCPR-Brazil) (25 undergraduate students)
+ Summer/Fall 2009
- Machine Learning (PUCPR-Brazil) (8 graduate students)
- Analysis and Design of Algorithms(PUCPR-Brazil) (60 undergraduate students)
- Law and Legislation for Engineers (PUCPR-Brazil) (22 undergraduate students)
- Pattern Recognition (PUCPR-Brazil) (12 undergraduate students)
+ Winter/Spring 2008
- Pattern Recognition (PUCPR-Brazil) (25 undergraduate students): Advanced course to senior students that gives an overview of many concepts, techniques, and algorithms in pattern recognition.
- Law and Legislation for Engineers (PUCPR-Brazil) (25 undergraduate students): Introductory course to senior students that gives an overview of the legislation related to the profession of engineering.
- Analysis and Design of Algorithms (PUCPR-Brazil) (32 undergraduate students)
- Artificial Intelligence (PUCPR-Brazil) (23 undergraduate students)
+ Summer/Fall 2008
- Machine Learning (PUCPR-Brazil) (4 graduate students)
- Analysis and Design of Algorithms (PUCPR-Brazil) (43 undergraduate students)
+ Winter/Spring 2007
- Analysis and Design of Algorithms (PUCPR-Brazil)(26 undergraduate students)
+ Summer/Fall 2007
- Machine Learning (PUCPR-Brazil) (10 graduate students)
- Analysis and Design of Algorithms (PUCPR-Brazil) (18 undergraduate students)
+ Winter/Spring 2006
- Analysis and Design of Algorithms (PUCPR-Brazil) (21 undergraduate students)
+ Summer/Fall 2006
- Machine Learning (PUCPR-Brazil) (7 graduate students)
- Analysis and Design of Algorithms (PUCPR-Brazil) (38 undergraduate students)
- Physics and Electricity (PUCPR-Brazil) (40 undergraduate students): Introductory course on basic concepts of physics and electricity to freshmen students, including practices in laboratory.
+ Winter/Spring 2005
- Analysis and Design of Algorithms (PUCPR-Brazil)(46 undergraduate students)
- Parallel Programming (PUCPR-Brazil)(27 undergraduate students)
- Multimedia (UniCuritiba-Brazil) (50 undergraduate students).
+ Summer/Fall 2005
- Machine Learning (PUCPR-Brazil) (12 graduate students): Introductory course that gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as feature extraction and classification and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, ensembles of classifiers and rejection. The course gives the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work.
- Analysis and Design of Algorithms (PUCPR-Brazil)(42 undergraduate students)
- Parallel Programming (PUCPR-Brazil) (23 undergraduate students)
- Multimedia (UniCuritiba-Brazil) (50 undergraduate students).
+ Winter/Spring 2004
- Analysis and Design of Algorithms (PUCPR-Brazil)(38 undergraduate students)
- Parallel Programming (PUCPR-Brazil) (11 undergraduate students)
- Multimedia (UniCuritiba-Brazil) (50 undergraduate students).
+ Summer/Fall 2004
- Artificial Intelligence (PUCPR-Brazil) (12 graduate students)
- Analysis and Design of Algorithms (PUCPR-Brazil)(35 undergraduate students)
- Parallel Programming (PUCPR-Brazil) (27 undergraduate students)
- Multimedia (UniCuritiba-Brazil) (50 undergraduate students).
+ Winter/Spring 2003
- Analysis and Design of Algorithms (PUCPR-Brazil) (40 undergraduate students)
- Parallel Programming (30 undergraduate students)
- Multimedia (UniCuritiba-Brazil) (50 undergraduate students).
+ Summer/Fall 2003
- Artificial Intelligence (PUCPR-Brazil) (15 graduate students): Introductory course that gives an overview of many concepts, techniques, and algorithms in artificial intelligence, beginning with topics such as searching algorithms and classification and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, ensembles of classifiers and rejection. The course gives the basic ideas and intuition behind artificial intelligence methods as well as a bit more formal understanding of how, why, and when they work.
- Analysis and Design of Algorithms (PUCPR-Brazil) (60 undergraduate students): Introductory course on fundamentals of analysis and design of algorithms to sophomore students.
- Parallel Programming (PUCPR-Brazil) (30 undergraduate students): Advanced course to senior students that gives an overview of many concepts, techniques, and algorithms for multicore and parallel computing, including practical activities with computer clusters in laboratory.
- Multimedia (UniCuritiba-Brazil) (50 undergraduate students).
‘
+ Original articles in refereed journals and books chapters
«From environmental sound representation to robustness of 2D CNN models against adversarial attacks»Esmaeilpour, Mohammad, Cardinal, Patrick and Koerich, Alessandro Lameiras.” |
«Multidiscriminator sobolev defense-GAN against adversarial attacks for end-to-end speech systems»Esmaeilpour, Mohammad, Cardinal, Patrick and Lameiras Koerich, Alessandro.” |
«Two-view fine-grained classification of plant species»Araujo, Voncarlos M., Britto, Alceu S., Oliveira, Luiz S. and Koerich, Alessandro L..” |
«A novel bio-inspired texture descriptor based on biodiversity and taxonomic measures»Ataky, Steve Tsham Mpinda and Lameiras Koerich, Alessandro.” |
«Cyclic defense GAN against speech adversarial attacks»Esmaeilpour, Mohammad, Cardinal, Patrick and Lameiras Koerich, Alessandro.” |
Read More >
+ Papers in refereed conference proceedings
«A joint cross-attention model for audio-visual fusion in dimensional emotion recognition»Praveen, R. G., de Melo, W. C., Ullah, N., Aslam, H., Zeeshan, O., Denorme, T., Pedersoli, M., Koerich, A. L., Bacon, S., Cardinal, P. and Granger, E..” |
«Towards robust speech-to-text adversarial attack»Esmaeilpour, Mohammad, Cardinal, Patrick and Koerich, Alessandro Lameiras.” |
«Class-conditional defense GaN against end-to-end speech attacks»Esmaeilpour, Mohammad, Cardinal, Patrick and Lameiras Koerich, Alessandro.” |
«1D CNN architectures for music genre classification»Allamy, Safaa and Koerich, Alessandro Lameiras.” |
«Cross-representation transferability of adversarial attacks: From spectrograms to audio waveforms»Michel Koerich, Karl, Esmailpour, Mohammad, Abdoli, Sajjad, Britto, Alceu De S. and Lameiras Koerich, Alessandro.” |
‘
Current Students
+ Ph.D. Students
- Sajjad Abdoli (ÉTS). Ph.D. Thesis. Deep Architectures for Audio/Music Information Retrieval (Feb 2017 – )
- Kelly Lais Wiggers (PUCPR-Brazil). Ph.D. Thesis. Pattern Spotting in Historical Documents. (Mar 2015 – )
+ M.Sc. Students
- Juan David Silva Ortega (ÉTS). M.Sc. Thesis: Affective Computing (Jan 2017 – )
- Simplice Tchatue Kamga (ÉTS). M.Sc. Thesis: Affective Computing (Mar 2016 – )
- Philippe Mercure (ÉTS). M.Sc. Thesis: Enhancement of Appointment-Based Schedule Systems using Mobile Devices and AI. (Mar 2015 – )
Former Students
+ Ph.D. Students
- Andreia Marini (PUCPR-Brazil) . Ph.D. Thesis: Bird Species Identification Using Deep and Shallow Strategies. December 2014.
- Yandre M.G. Costa (UFPR-Brazil). Ph.D. Thesis: Combination of Texture Features at the Frequency Domain for Music Genre Classification. August 2013.
+ M.Sc. Students
- Marcelo J. Cossetin (PUCPR-Brazil). M.Sc. Thesis: Facial Expression Recognition using Global Features. 2015.
- Jhony K. Pontes (UFPR-Brazil). M.Sc. Thesis: Hierarchical Age Estimation Based on Local and Global Features. 2014
- Rodrigo A. Seger (UFPR-Brazil). M.Sc. Thesis: Computational Analysis of Ancillary Gestures of Clarinetists.2013
- Fábio Dittrich (PUCPR-Brazil). M.Sc. Thesis: A Method for People Counting in Crowd Using Multiples Views. 2011.
- Thiago H.H. Zavaschi (PUCPR-Brazil). M.Sc. Thesis: Facial Expression Classification Using Combination of Classifiers. 2011.
- Cheila M. Bergamini (PUCPR-Brazil). M.Sc. Thesis: A Comparative Study of Fusion Methods for Biometrics. 2009.
- Andréa Marini (PUCPR-Brazil). M.Sc. Thesis: Analysis of Rejection Strategies for Multiclass Problems Using ROC Curves. 2007.
- Andre G. Hochuli (PUCPR-Brazil). M.Sc. Thesis: Non-Conventional Event Detection in Video Scenes Using Feature Vectors. 2007.
- Israel Rios (PUCPR-Brazil). M.Sc. Thesis: Keyword Search in Document Images: An OCR-Free Approach. 2007.
- Jaime D. Valle Jr. (PUCPR-Brazil). M.Sc. Thesis: Automatic People Counting in Video Scenes using Computer Vision. 2007.
- Carlos N. Silla Jr. (PUCPR-Brazil). M.Sc. Thesis: Combination of Classifiers for Automatic Music Genre Recognition. 2007.
- Bruno C. Paula (PUCPR-Brazil). M.Sc. Thesis: An Intelligent System for Turn-Based Strategy Games: A Case-Based Planning Approach. 2007.
- Richardson Ribeiro (PUCPR-Brazil). M.Sc. Thesis: Evaluation and Action Policy Discovery for Adaptive Autonomous Agents. 2006.
- Pedro R. Kalva (PUCPR-Brazil). M.Sc. Thesis: Image Classification Using Combination of Classifiers and Contextual Information. 2005.
+ Undergraduate Students
- Ana Carolina B. Pavan (PUCPR-Brazil). Undergraduate research internship. 2015.
- Ronald Campanari (PUCPR-Brazil). Engineering Design Project. 2014.
- Paulo Ricardo L. Faria (PUCPR-Brazil). Engineering Design Project. 2014.
- Alef Junior Turatti (PUCPR-Brazil). Undergraduate research internship. 2013.
- Daniel Sampaio (PUCPR-Brazil). Undergraduate research internship. 2013.
- Rafael Y. Yamasaki (PUCPR-Brazil). Engineering Design Project. 2010.
- Guilherme S. Hayashi (PUCPR-Brazil). Undergraduate research internship. 2010.
- Welinton Canelo (PUCPR-Brazil). Undergraduate research internship. 2009.
- Rafael A. Giliczynski (PUCPR-Brazil) Undergraduate research internship. 2008.
- Alex Soletti (PUCPR-Brazil). Undergraduate research internship. 2007.
- Gabriel M. Rocha (PUCPR-Brazil). Undergraduate research internship. 2006.
- Melanie Y. Yee (PUCPR-Brazil). Undergraduate research internship. 2006.
- Thiago E. Sczepanick (PUCPR-Brazil) Undergraduate research internship. 2006.
- Gustavo E. Sitta (PUCPR-Brazil). Engineering Design Project. 2005.
- Jeffferson Handa (PUCPR-Brazil). Engineering Design Project. 2005.
- Evelyn Kler (PUCPR-Brazil). Engineering Design Project. 2005.
- Luiz M. Rego (PUCPR-Brazil). Engineering Design Project. 2005.
- Guilherme Simião (PUCPR-Brazil). Engineering Design Project. 2005.
- Carlos H. Costa (PUCPR-Brazil). Undergraduate research internship. 2005.
- Jaime Dalla Valle Jr. (PUCPR-Brazil). Undergraduate research internship. 2005.
- Elson Renato França (PUCPR-Brazil). Engineering Design Project. 2005.
- Reedlei Nagornni Jr. (PUCPR-Brazil). Undergraduate research internship. 2005.
- Danilo G. Moraes (PUCPR-Brazil). Engineering Design Project. 2004.
- Gabriel B. Pinheiro (PUCPR-Brazil). Undergraduate research internship. 2004.
- Yann Leydier (ÉTS-Canada). Undergraduate research internship. 2001.
+ Current Projects |
Efficient Machine Learning Methods for Big Data Analytics |
+ Past Projects |
Dynamic Selection of Classifiers for Real Environments STIC-AmSud |
Dynamic Selection of Classifiers for Pattern Recognition Problems |
Large-Scale Music Information Retrieval [PI] |
A Oracle Modeling for Dynamic Selection of Classifier Ensembles |
A Dynamic Approach for Selecting Subset of Classifiers |
Information Fusion for Dynamic Classification Problems [PI] |
A Computer Vision Framework for Urban Traffic Management |
Music Genre Recognition [PI] |
Brazilian Bird Sing Classification: A Machine Learning Approach |
Creating Flexible Systems using Incremental Learning |
Surveillance of Environment Using Intelligent Scene Analysis [PI] |
Advanced Machine Vision for Inspection in Non-Visible Spectrum. |
Semantic Analysis of Multimedia Content [PI] |
Intelligent Management of Digital Photography [PI] |
Multimodal Biometrics |
Detection of Fractures and Cracks in Steel Parts using Computer Vision |
Fusion of Multiple Camera Information [PI] |
Electronics Embedded Systems Laboratory [PI] |
Multisensor Network for Surveillance of Urban Environments [PI] |
Integration of Multiple Camera Information for Intelligent Surveillance of Complex Environments [PI] |
Strategies for Supervised Incremental Learning |
Machine Vision for Industrial Application – Part 2 |
Analysis and Design of Multiple Classifier Systems for Large Scale Applications [PI] |
Wood Inspection Using Machine Vision |
Segmentation of Handwritten Digits: An Approach Based on the Ideal Segmentation Path |
Computer Vision for Business Intelligence [PI] |
Computer Vision Systems for Industrial Applications: Software Development |
Machine Vision for Industrial Application – Part 1 |
A Multimodal Approach for Multimedia Content Analysis [PI] |
+ Patents |
L.E.S. Oliveira, A.S Britto Jr. & A.L. Koerich. Tracking and Counting of People Based on Computer Vision, National Institute of Industrial Property (INPI), Patent Number PI0806019-3, Rio de Janeiro, RJ, Brazil, July 2008 (in Portuguese). |
L.E.S. Oliveira, A.S. Britto Jr. & A. L. Koerich. A Method to Inspect Containers, National Institute of Industrial Property (INPI), Patent Number PI0600752-0, Rio de Janeiro, RJ, Brazil, March 2006 (in Portuguese). |
A.L. Koerich & L.L. Lee. A Method and System for Storage, Recovering and Presentation of Information, National Institute of Industrial Property (INPI), Patent Pending, Rio de Janeiro, RJ, Brazil, December 2002 (in Portuguese). |
A.L. Koerich & L.L. Lee, A Method and System for Automatic Extraction of Filled-in Information From Bankchecks. National Institute of Industrial Property (INPI), Patent Number PI9801896-5, Rio de Janeiro, RJ, Brazil, April 1998 (in Portuguese). |
+ Thesis |
A. L. Koerich. Large Vocabulary Off-Line Handwritten Word Recognition. Ph.D. Thesis, Departement de Génie de la Production Automatisée, École de Technologie Supérieure, Université du Québec, Montreal, QC, Canada, August 2002. |
A. L. Koerich. A Proposal for Bank Cheques Images Processing: Information Extraction and Storage. Master’s Dissertation, Department of Communications, School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil, February 1997 (in Portuguese). |
+ Book Chapters |
L. L. Lee, M. E. Lizarraga, N. R. Gomes & A. L. Koerich. A Prototype for Brazilian Bankcheck Recognition in Automatic Bankcheck Processing. Series on Machine Perception & Artificial Intelligence, edited by S. Impedovo, P.S.P. Wang and H. Bunke, World Scientific Pub. Co., Vol.28, pp.87-108, ISBN 981-02-3223-3, December 1997. |
Alessandro
Koerich
Research & Innovation
Contact Us
Pavillon Principal (A)
1100, rue Notre-Dame Ouest
Montréal, QC, H3C 1K3
Room A-3600
Tel.: +1 (514) 396-8650
E-Mail: eric.granger@etsmtl.ca