Publications

Publications

PhD Thesis

Gómez, J.C. (1998). Analysis of Dynamic System Identification using Rational Orthonormal Bases, PhD Thesis, Department of Electrical and Computer Engineering, The University of Newcastle, Australia.

Books
- Gómez, J.C.; Del Colle, A and Terissi, L. (Editors) (2009). Proceedings of the XIII Workshop on Information Processing and Control (RPIC2009), September 16-18, 2009, Rosario, Argentina.
Book Chapters
1. Sad, G.; Terissi, L. and Gómez, J.C. (2020). Random Forest for Audio-Visual Speech Recognition, Chapter 6 in Horizons in Computer Science Research, Volume 19, Thomas S. Clary (editor), ISBN: 978-1-53618-359-7 (eBook), pp. 175-221, Nova Science Publishers Inc., New York, 2020.
2. Sad, G.; Terissi, L. and Gómez, J.C. (2019). Disambiguating Conflicting Classification Results in AVSR, Chapter 4 in Intelligent Speech Signal Processing, Nilanjan Dey (Editor), ISBN: 9780128181300, pp. 55-80, Academic Press, Elsevier, 2019.
3. Parodi, M. and Gómez, J.C. (2014). Using Global Features for Pre-classification in Online Signature Verification Systems, Chapter 4 in Advances in Digital Handwritten Signature Processing - A Human Artefact for e-Society, G. Pirlo, D. Impedovo and M. Fairhurst (Editors), pp. 39-52, World Scientific Publishing Co. and Imperial College Press, UK.
Journal Papers
1. Gómez, J.C. and Sad, G. (2023). Optimal Recursive Identification Techniques from Quantized Outputs, Latin American Applied Research - An International Journal, Vol. 53, No. 4, pp. 423-428, August 2023. (https://doi.org/10.52292/j.laar.2023.3279)
2. Sad, G.; Terissi, L. and Gómez, J.C. (2022). Complementary models for audio-visual speech classification.International Journal of Speech Technology, Springer, Online First, (https://doi.org/10.1007/s10772-021-09944-7), SharedIt link: here, Vol. 25, pp. 231-249, 2022.
3. Terissi, L.; Sad, G. and Gómez, J.C. (2018). Robust front-end for Audio, Visual and Audio-Visual Speech Classification. International Journal of Speech Technology, Springer, Online First, DOI 10.1007/s10772-018-9504-y, Vol. 21, pp. 293-307, April, 2018.
4. Sad, G.; Terissi, L. and Gómez, J.C. (2018). Class Confusability Reduction in Audio-Visual Speech Recognition Using Random Forests. M. Mendoza and S. Velastín (Eds.): CIARP 2017, LNCS 10657, pp. 1–9, 2018. (https://doi.org/10.1007/978-3-319-75193-1_70)
5. Donnelly-Kehoe, P.; Pascariello, G. and Gómez, J.C. (2018). Looking for Alzheimer's Disease Morphometric Signatures Using Machine Learning Techniques. Journal of Neuroscience Methods, Elsevier, Vol. 302, pp. 24-34, 2018. (https://doi.org/doi:10.1016/j.jneumeth.2017.11.013)
6. Baravalle, R.; Thomsen, F.; Delrieux, C.; Lu, Y.; Gómez, J.C.; Stosic, B. and Stosic, T. (2017). Three-dimensional multifractal analysis of trabecular bone under clinical computed tomography. Medical Physics, Vol. 44, No. 12, pp. 6404-6412, December 2017.
7. Parodi, M. and Gómez, J.C. (2017). Online Signature Verification: To what extent should a classifier be trusted in ?, CLEI Electronic Journal, Vol. 20, No. 2, Paper 5, August 2017.
8. Sad, G.; Terissi, L. and Gómez, J.C. (2017). Decision Level Fusion for Audio-Visual Speech Recognition in Noisy Conditions. Chapter 44 in Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications , C. Beltrán-Castañon et al. (Eds.): CIARP 2016, LNCS 10125, Springer International Publishing AG, pp. 1–8, 2017. DOI: 10.1007/978-3-319-52277-7 44
9. Parodi, M. and Gómez, J.C. (2015). Online Signature Verification: Is the whole greater than the sum of the parts?. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 20th Iberoamerican Congress, CIARP 2015 Proceedings, Montevideo, Uruguay, November 9-12, 2015, Lecture Notes in Computer Science, Vol. 9423, Alvaro Pardo and Josef Kittler (Editors), Springer, pp. 151-159, 2015.
10. Terissi, L.; Sad, G.; Gómez, J.C. and Parodi, M. (2015). Audio-Visual Speech Recognition Scheme based on Wavelets and Random Forests Classification. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 20th Iberoamerican Congress, CIARP 2015 Proceedings, Montevideo, Uruguay, November 9-12, 2015, Lecture Notes in Computer Science, Vol. 9423, Alvaro Pardo and Josef Kittler (Editors), Springer, pp. 567-574, 2015.
11. Baravalle, R.; Delrieux, C. and Gómez, J.C. (2015). Multifractal characterisation and classification of bread crumb digital images, EURASIP Journal on Image and Video Processing, 2015:9, pp: 1-10, doi:10.1186/s13640-015-0063-8.
12. Terissi, L.; Sad, G.; Gómez, J.C. and Parodi, M. (2015). Noisy Speech Recognition Based on Combined Audio-Visual Classifiers, Chapter 5 in Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, Third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers, F. Schwenker, S. Scherer and L-P. Morency (Eds.), Lecture Notes in Computer Science, Vol. 8869, Subseries: Lecture Notes in Artificial Intelligence, VIII, pp: 43-53, Springer, Berlin, 2015.
13. Sad, G.; Terissi, L. and Gómez, J.C. (2015). Complementary Gaussian Mixture Models for Multimodal Speech Recognition, Chapter 6 in Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, Third IAPR TC3 Workshop, MPRSS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers, F. Schwenker, S. Scherer and L-P. Morency (Eds.), Lecture Notes in Computer Science, Vol. 8869, Subseries: Lecture Notes in Artificial Intelligence, VIII, pp: 54-65, Springer, Berlin, 2015.
14. Parodi, M.; Gómez, J.C.; Alewijnse, L. and Liwicki, M. (2014). Online Signature Verification: Automatic Feature Selection vs. FHE’s Choice. Journal of Forensic Document Examination, Vol. 24, 2014.
15. Parodi, M. and Gómez, J.C. (2014). Legendre Polynomials Based Feature Extraction for Online Signature Verification. Consistency Analysis of Feature Combinations. Pattern Recognition, Vol. 47, No. 1, pp. 128-140, 2014 (available online July 16, 2013).
16. Parodi, M. and Gómez, J.C. (2013). Online Signature Verification: Improving Performance through Pre-classification Based on Global Features. In A. Petrosino, L. Maddalena, P. Pala (Eds.): ICIAP 2013 Workshops, LNCS 8158, pp. 69-76, Springer, Berlin, 2013.
17. Parodi, M.; Gómez, J.C.; Liwicki, M. and Alewijnse, L. (2013). Orthogonal Function Representation for Online Signature Verification. Which Features Should be Looked at ?. IET Biometrics, Vol. 2, No. 4, pp. 137-150, Dec. 2013, DOI: 10.1049/iet-bmt.2013.0025, Available online: 18 September 2013.
18. Terissi, L.; Cerda, M.; Gómez, J.C.; Hitschfeld-Kahler, N. and Girau, B.(2013). A comprehensive system for facial animation of generic 3D head models driven by speech. EURASIP Journal on Audio, Speech, and Music Processing, A SpringerOpen Journal, 2013:5, pp. 1--18, doi:10.1186/1687-4722-2013-5, OnLine: 1 February 2013.
19. Larese, M.; Granitto, P. and Gómez, J.C. (2013). Spot defects detection in cDNA microarray images. Pattern Analysis and Applications, Springer, Berlin, Vol 16; No. 3, pp. 307--319, 2013. (Published first in Vol. 14, Online First, 12 August, 2011.)
20. Parodi, M. and Gómez, J.C.(2012). Online Signature Verification Based on Legendre Series Representation. Consistency Analysis of Different Feature Combinations. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, CIARP 2012, L. Alvarez et al. (Eds.), Springer, Berlin, Vol. 7441, pp. 715-723, 2012.
21. Larese, M.; Granitto, P. and Gómez, J.C. (2010). Learning to Discover Faulty Spots in cDNA Microarrays. Advances in Artificial Intelligence, IBERAMIA 2010, Lecture Notes in Computer Science, Springer, Berlin, Vol. 6433, pp. 224--233, 2010.
22. Terissi, L.D. and Gómez, J.C. (2010). 3D Head Pose and Facial Expression Tracking using a Single Camera. Journal of Universal Computer Science, Vol. 16, No. 6, pp. 903-920, 2010.
23. Larese, M. and Gómez, J.C. (2009). Quantitative Improvements in cDNA Microarray Spot Segmentation. Lecture Notes on Bioinformatics (BSB2009), K.S. Guimaräes, A. Panchenko, T.M. Przytycka (Eds.), Vol. 5676, pp. 60-72, 2009.
24. Terissi, L.D. and Gómez, J.C. (2008). Audio-to-Visual Conversion Via HMM Inversion for Speech-Driven Facial Animation. Advances in Artificial Intelligence - SBIA 2008, Lecture Notes in Computer Science, Springer Verlag, Heidelberg, Volume 5249/-1/2008, pp. 33-42, 2008.
25. Larese, M. and Gómez, J.C. (2008). Automatic Spot Addressing in cDNA Microarray Images. Journal of Computer Science and Technology, Vol. 8, No.2, pp. 64-70, July 2008.
26. Del Colle, F. and Gómez, J.C. (2008). DWT based Digital Watermarking Fidelity and Robustness Evaluation. Journal of Computer Science and Technology, Vol. 8, No.1, pp. 15-20, April 2008.
27. Bayá, A.; Larese, M.; Granitto, P.; Gómez, J.C. and Tapia, E. (2007). Gene Set Enrichment Analysis Using Non-parametric Scores. Advances in Bioinformatics and Computational Biology, Lecture Notes on Computer Science/Lecture Notes on Bioinformatics, Springer,Berlin, Vol. 4643, pp. 12-31, 2007.
28. Terissi, L. and Gómez, J.C. (2005). Template-based and HMM-based Approaches for Isolated Spanish Digit Recognition. Revista Iberoamericana de Inteligencia Artificial, Special Issue: Argentine Symposium on Artificial Intelligence (ASAI2004), Vol. 9, No. 26, pp. 77-83, 2005. [bib]
29. Gómez, J.C. and Baeyens, E. (2005). Subspace Identification of Multivariable Hammerstein and Wiener Models. European Journal of Control, Vol. 11, No. 2, pp. 127-136, 2005. [bib]
30. Gómez, J.C., Jutan, A. and Baeyens, E. (2004). Wiener Model Identification and Predictive Control of a pH Neutralization Process. IEE Proceedings on Control Theory and Applications, Vol. 151, No. 3, pp. 329-338, May 2004. [bib]
31. Gómez, J.C. and Baeyens, E. (2004). Identification of Block-oriented Nonlinear Systems using Orthonormal Bases. Journal of Process Control, Vol. 14, No. 6, pp. 685-697, 2004. [bib]
32. Gómez, J.C. and Baeyens, E. (2003). Hammerstein and Wiener Model Identification using Rational Orthonormal Bases. Latin American Applied Research, Vol. 33, No. 4, pp. 449-456, 2003. [bib]
33. Jimenez, L. ; Basualdo, M.; Gómez, J.C.; Toselli, L. and Rosa, M. (2002). Nonlinear dynamic modeling of multicomponent batch distillation: a case study. Brazilian Journal of Chemical Engineering, Vol. 19, No. 3, pp. 307-317, 2002. [bib]
34. Pérez, T., Gómez, J.C. and Junco, S.(2000). Induction motor parameter and state estimation using nonlinear observers. Latin American Applied Research, Vol. 30, No. 2, pp. 107-113, 2000. [bib]
35. Gómez, J.C., Viassolo, D. and Junco, S. (1999). Adaptive Control of Nonlinear Distributed Parameter Systems. International Journal of Modeling and Simulation , Vol. 19, No. 2, pp. 194-204, 1999. [bib]
36. Ninness, B. and Gómez, J.C. (1998). Frequency Domain Analysis of Tracking and Noise Performance of Adaptive Algorithms. IEEE Transactions on Signal Processing , Vol. 46, No. 5, pp. 1314-1332, 1998. [bib]
Refereed Conference Papers
1. Gomez, J.C. and Sad, G. (2023). Optimal Parameter Estimation Algorithms from Quantized Outputs. In Proceedings of the 9th. International Conference on Control, Decision and Information Technologies (CoDIT 2023), pp. 1838-1843, Rome, Italy, July 3-6, 2023. (https://doi.org/10.1109/CoDIT58514.2023.10284440)
2. Zumoffen, D., Braccia, L. and Gomez, J.C. (2023). Recursive PLS Modeling Based on Subspace Identification: Preliminary Results. Presented at the 11th. World Congress of Chemical Engineering (WCCE11), Buenos Aires, Argentina, June 2023.
3. Gomez, J.C. and Sad, G. (2023). Optimal Recursive Identification Techniques from Quantized Outputs. In Proceedings of the 28th. Argentine Congress on Automatic Control (AADECA 2023), pp. 189-194, ISBN: 978-987-46859-4-0, Buenos Aires, Argentina, May 16-18, 2023.
4. Gomez, J.C. and Sad, G. (2022). Optimal State Observers from Quantized Outputs. In Proceedings of the 6th. IEEE Conference on Control Technology and Applications (CCTA2022), pp. 117-123, ISBN: 978-1-6654-7338-5/22/, Trieste, Italy, August 22-25, 2022.
5. Gomez, J.C. and Sad, G. (2021). Kalman Filter-like State Observers from Quantized Outputs. In Proceedings of the XIX Workshop on Information Processing and Control (RPIC2021), ISBN: 978-987-88-2891-6, pp. 248-253, San Juan, Argentina, November 03-05, 2021.
6. Gomez, J.C. and Sad, G. (2020). A State Observer from Multilevel Quantized Outputs. In Proceedings of the 27th Argentine Congress on Automatic Control (AADECA 2020), Virtual Congress, ISBN: 978-987-46859-2-6, October 28-30, 2020.
7. Sad, G. and Gomez, J.C. (2020). Audio-Visual Speech Classification based on Absent Class Detection. In Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020), pp. 336-340, ISBN: 978-9-0827-9705-3, Amsterdam, The Netherlands. January 18-22, 2021.
8. Evangelista, I.; Galimberti, C.; Pascariello, G.; Gomez, J.C.; Rodríguez Musso, A. and Donnelly-Kehoe, P. (2019). Influence of acquisition parameters on morphometric values obtained from structural Magnetic Resonance Images. In Proceedings of the 2019 European Congress of Radiology (ECR 2019), pp.: 1-13, Vienna, February 27- March 3, 2019. DOI: 10.26044/ecr2019/C-2108 .
  NB: The paper was the recipient of the Best Electronic Poster of a Research Paper Award.
9. Galimberti, C.; Evangelista, I.; Pascariello, G.; Gómez, J.C. and Donnelly-Kehoe, P. (2018). Influencia de parámetros de adquisición en los valores morfométricos obtenidos de imágenes de resonancia magnética estructural. In Proceeding of 55º Congreso Argentino de Neurología, Mar del Plata, Argentina. October 30-November 02, 2018.
10. Garibay, M.T.; Gómez, J.C.; Terissi, L.; Soria, L.; Marcuzzi, R.; Moya, M.; Bertinat, L.; Massetti, A. Neumann, L. and Chavarini, A. (2018). Space Maker: A Place Where Creativity, Innovation and Hands-on Learning Join to Improve Engineering Education. In Proceedings of the VIII World Engineering Education Forum, Albuquerque, NM, USA, November 12-16, 2018.
11. Gómez, J.C. and Brauchli, G. (2018). Recursive Identification of IIR Systems with Multilevel Output Quantization. In Proceedings of 26º Argentine Congress on Automatic Control (AADECA 2018), pp. 393-398, ISBN-978-987-46859-0-2, DOI: 10.23919/AADECA.2018.8577232, Buenos Aires, Argentina, November 7-9, 2018.
12. Brauchli, G. and Gómez, J.C. (2018). Desarrollo de Algoritmos Recursivos para la Estimación de Modelos de Sistemas Dinámicos a partir de Datos Cuantizados. In Proceedings of the XII Jornada de Ciencia y Tecnología, Universidad Nacional de Rosario, Rosario, Argentina, October 17-18, 2018.
13. Terissi, L.; Sad, Gonzalo; Cerda, Mauricio; Ouni, Slim; Galvez, Rodrigo; Gómez, Juan Carlos; Girau, Bernard and Hitschfeld-Kahler, Nancy (2018). A French-Spanish Multimodal Speech Communication Corpus Incorporating Acoustic Data, Facial, Hands and Arms Gestures Information. In Proceedings of INTERSPEECH 2018, pp. 2778-2782, Hyderabad, India, September 2-6, 2018.
14. Gómez, J.C. (2018). Recursive Identification of IIR Systems with Multilevel Output Quantization and Lossy Memoryless Channels with Transmission Errors. In Proceedings of the 18th IFAC Symposium on System Identification (SYSID 2018), pp. 909-914, Stockholm, Sweden, July 9-11, 2018.
15. Massetti, A.; Terissi, L. and Gómez, J.C. (2017). Prototipo Robótico para Aplicaciones de Control y Visión por Computadora. In Anales de la V Jornada de Experiencias Innovadoras en Educación en la FCEIA (EIEF 2017), pp. 97-104, Rosario, Argentina, October, 4, 2017.
16. Sad, G.; Terissi, L. and Gómez, J.C. (2017). Class Confusability Reduction in Audio-Visual Speech Recognition using Random Forests. In Proceedings of 22nd. Iberoamerican Congress on Pattern Recognition (CIARP 2017), Valparaíso, Chile, November 7-11, 2017.

Paper Reviews / Discussions

Guillaume Lavoué (Editor) (2013). Speech Driven Animation of Complex 3D Head Models. A short review for Animation of Generic 3D Head Models driven by Speech by L. Terissi, M. Cerda, J.C. Gómez, N. Hitschfeld-Kahler, B. Girau, and R. Valenzuela, in Proceedings of IEEE International Conference on Multimedia & Expo (ICME), pp. 1-6, Barcelona, Spain, 2011. R-LETTER Vol. 4, No. 1, pp. 16-18, January 2013, Multimedia Communications Technical Committee, IEEE Communications Society.

Bai, Er-Wei (2005). Discussion on Subspace-based Identification Algorithms for Hammerstein and Wiener Models by Gómez, J.C. and Baeyens, E., European Journal of Control, Vol. 11, pp. 137-138, 2005.

Boutayeb, M. and Laroche, E. and Darouach, M. (2005). Discussion on Subspace-based Identification Algorithms for Hammerstein and Wiener Models by Gómez, J.C. and Baeyens, E., European Journal of Control, Vol. 11, pp. 139-141, 2005.

Eskinat, E. (2005). Discussion on Subspace-based Identification Algorithms for Hammerstein and Wiener Models by Gómez, J.C. and Baeyens, E., European Journal of Control, Vol. 11, pp. 141-143, 2005.

Palazoglu, A. (2005). Discussion on Subspace-based Identification Algorithms for Hammerstein and Wiener Models by Gómez, J.C. and Baeyens, E., European Journal of Control, Vol. 11, pp. 144-145, 2005.

Greblicki, W. and Pawlak, M.(2005). Discussion on Subspace-based Identification Algorithms for Hammerstein and Wiener Models by Gómez, J.C. and Baeyens, E., European Journal of Control, Vol. 11, pp. 145-148, 2005.

Wigren, T. (2005). Discussion on Subspace-based Identification Algorithms for Hammerstein and Wiener Models by Gómez, J.C. and Baeyens, E., European Journal of Control, Vol. 11, pp. 148-149, 2005.

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