2016

López-Monroy, A. P., Montes-y-Gómez, M., Escalante, H. J., Cruz-Roa, A., & Gonzalez, F. A. (2016). Improving the BoVW via discriminative visual n-grams and MKL strategies. In Neurocomputing, Vol. 175 Part A, pp. 768-781. doi:10.1016/j.neucom.2015.10.053. ISSN: 0925-2312. (PDF).

Arevalo, J., Gonzalez, F. A., Ramos-Pollan, R., Oliveira, J. L., & Lopez, M. A. G. (2016). Representation learning for mammography mass lesion classificationwith convolutional neural networksComputer Methods and Programs in Biomedicine. ISSN: 0169-2607. doi:10.1016/j.cmpb.2015.12.014. (In press).

Niño-Sandoval, T. C., Guevara, S. V., Gonzalez, F. A., Jaque, R. A., & Infante-Contreras, C. (2016). An automatic method for skeletal patterns classification using craniomaxillary variables on a Colombian populationForensic Science International. ISSN 0379-0738. doi: 10.1016/j.forsciint.2015.12.025. (In Press).

Camargo, J. E., & Gonzalez, F. A. (2016). Multimodal latent topic analysis for image collection summarizationInformation Sciences, Vol. 328, pp. 270-287. ISSN: 0020-0255. doi: 10.1016/j.ins.2015.08.044. (PDF).

2015

Paez, F., & Gonzalez, F. A. (2015). Annotating and Retrieving Videos of Human Actions Using Matrix Factorization. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. Vol. 9423. pp. 743-750. ISSN: 0302-9743. doi: 10.1007/978-3-319-25751-8_89. (PDF).

Páez-Torres, A. E., & González, F. A. (2015). Online Kernel Matrix Factorization. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. Vol. 9423, pp. 651-658. ISSN: 0302-9743. doi: 10.1007/978-3-319-25751-8_78. (PDF).

Becerra Cortes, C. J., Jimenez Vargas, S. G., Gonzalez, F. A., & Gelbukh, A. (2015). Products recommendation based on interpretable user profilesTecnura, Vol. 19, Issue 45, pp. 89-100. ISSN 0123-921X. doi: 10.14483/udistrital.jour.tecnura.2015.3.a07. (PDF).

Cruz-Roa, A., Arévalo, J., Judkins, A., Madabhushi, A., & Gonzalez, F. A. (2015). A method for medulloblastoma tumor differentiation based on convolutional neural networks and transfer learning. In 11th International Symposium on Medical Information Processing and Analysis (SIPAIM 2015). Proceedings of SPIE, The International Society for Optics and Photonics. Vol. 9681. pp. 968103-968103-8. doi:10.1117/12.2208825. ISSN: 0277-786X.

Lopez Guarin, C. E., Guzman, E. L., & Gonzalez, F. A. (2015). A Model to Predict Low Academic Performance at a Specific Enrollment Using Data Mining. In IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, Vol. 10, Issue 3, pp. 119-125. ISSN: 1932-8540. doi: 10.1109/RITA.2015.2452632 (PDF).

Diaz, M. C., Gonzalez, F. A., & Ramos-Pollan, R. (2015). Accelerating common machine learning algorithms through GPGPU symbolic computing. In Computing Colombian Conference (10CCC), 2015 10th. pp. 387-391. IEEE. ISSN: 0018-9219. doi: 10.1109/ColumbianCC.2015.7333450. (PDF).

Otálora, S., Cruz-Roa, A., Arevalo, J., Atzori, M., Madabhushi, A., Judkins, A. R., Gonzalez, F. A., Muller, H. & Depeursinge, A. (2015). Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015. Lecture Notes in Computer Science, Vol. 9349, (pp. 581-588). Springer International Publishing. ISSN 0302-9743. doi: 10.1007/978-3-319-24553-9_71. (PDF).

Pellegrin, L., Vanegas, J. A., Arevalo, J., Beltrán, V., Escalante, H. J., Montes-y-Gómez, M., & Gonzalez, F. A. (2015). INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation. Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), México, MindLab research group, Universidad Nacional de Colombia (UNAL), Colombia. (PDF).

Beltrán, V., Vanegas, J. A., & Gonzalez, F. A. (2015). Semi-supervised Dimensionality Reduction via Multimodal Matrix Factorization. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science, Vol. 9423, pp. 676-682. ISSN 0302-9743. doi: 10.1007/978-3-319-25751-8_81. (PDF).

Sierra, S., Molina, J. F., Cruz-Roa, A., Pabón, J. D., Ramos-Pollán, R., Gonzalez, F. A., & Franco, H. (2015). Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science, Vol. 9423, pp. 19-26. ISSN 0302-9743. doi: 10.1007/978-3-319-25751-8_3. (PDF).

Mancera, S., Jimenez, S., & Gonzalez, F. A. (2015). ZETEMA: A web service for automatic short-answer questions grading. In Computing Colombian Conference (10CCC), 2015 10th. pp. 504-508. IEEEISSN: 0018-9219doi: 10.1109/ColumbianCC.2015.7333458. (PDF).

Jimenez, S., Gonzalez, F. A., & Gelbukh, A. (2015). Soft Cardinality in Semantic Text Processing: Experience of the SemEval International Competitions. Polibits, Vol. 51, pp. 63-72. ISSN 1870-9044.(PDF).

Arevalo, J., Gonzalez, F. A., Ramos-Pollan, R., Oliveira, J. L., & Guevara Lopez, M. A. (2015). Convolutional neural networks for mammography mass lesion classification. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. (pp. 797-800). IEEE. doi: 10.1109/EMBC.2015.7318482. ISSN: 1557-170X. (PDF).

Vanegas, J. A., Matos, S., & Gonzalez, F. A. (2015). An Overview of Biomolecular Event Extraction from Scientific Documents. Computational and Mathematical Methods in Medicine. Vol. 2015, Article ID 571381, 19 pages. ISSN: 1748-6718. doi: 10.1155/2015/571381. (PDF).

González, F. A. (2015). Modelos de aprendizaje computacional en reumatologíaRevista Colombiana de Reumatología, Vol 22, Issue 2, pp. 77-78. ISSN 0121-8123. doi:10.1016/j.rcreu.2015.06.001.

Arevalo, J., Cruz-Roa, A., Arias, V., Romero, E., & Gonzalez, F. A. (2015). An unsupervised feature learning framework for basal cell carcinoma image analysisArtificial intelligence in medicine, Vol 64, Issue 2, pp. 131–145. ISSN 0933-3657. doi:10.1016/j.artmed.2015.04. 004. (PDF).

Sosa, G. D., Cruz-Roa, A. & Gonzalez, F. A. (2015). Automatic detection of Wheezes by evaluation of multiple acoustic feature extraction methods and C-weighted SVM. Tenth International Symposium on Medical Information Processing and Analysis (SIPAIM 2014), Vol.9287. (pp. 928709-928709). Proceedings Of Spie, The International Society for Optical Engineering. ISSN 0277-786X. doi:10.1117/12.2073614. Cartagena, Colombia. (PDF). (SLIDES). 

Cruz-Roa, A., Arévalo, J., Basavanhally, A., Madabhushi, A. & Gonzalez, F. A. (2015). A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation. In Tenth International Symposium on Medical Information Processing and Analysis (SIPAIM 2014), Vol. 9287. (pp. 92870G-92870G). Proceedings of SPIE: The International Society for Optical Engineering. ISSN 0277-786X. doi:10.1117/12.2073849Cartagena, Colombia. (PDF). (SLIDES).

Veta, M., van Diest, P. J., Willems, S. M., Wang, H., Madabhushi, A., Cruz-Roa, A., Gonzalez, F. A. Larsen, A. B., Vestergaard, J. S., Dahl, A. B., Cireșan, D. C., Schmidhuber, J., Giusti, A., Gambardella, L. M., Tek, F. B., Walter, T., Wang C.-W., Kondo S., Matuszewski, B. J., Precioso F., Snell, V., Kittler, J., E. de Campos, T., Khan, A. M., Rajpoot, N. M., Arkoumani, E., Lacle, M., Viergever, M. A. & Pluim, J. P. (2015). Assessment of algorithms for mitosis detection in breast cancer histopathology images. Journal of Medical image analysis, Vol. 20, Issue 1, pp. 237-248.  ISSN: 1361-8415. doi:10.1016/j.media.2014.11.010.[arxiv][PDF].

Bernal, A., Castillo, A. M., Gonzalez, F. A., Patiny, L., & Wist, J. (2015). Improving the efficiency of branch-and-bound complete-search NMR assignment using the symmetry of molecules and spectraThe Journal of chemical physics, Vol. 142, Issue 7, pp. 074103. ISSN: 1089 - 7690. doi: 10.1063/1.4907898.

Rueda-Plata, D., Ramos-Pollan, R., & Gonzalez, F. A. (2015). Supervised greedy layer-wise training for deep convolutional networks with small datasets. In Computational Collective Intelligence. Lecture Notes in Computer Science. Vol. 9329. pp. 275-284. ISSN: 0302-9743. doi: 10.1007/978-3-319-24069-5_26. (PDF).

Cruz-Roa, A., Basavanhally, A., Gonzalez, F. A., Feldman, M., Ganesan, S., Shih, N., Tomaszewski, J., Gilmore, H. & Madabhushi, A. (2015). A Feature Learning Framework for Reproducible Invasive Tumor Detection of Breast Cancer in Whole-Slide Images.  USCAP 104th Annual Meeting, In Laboratory Investigation (Vol. 95, pp. 40A-40A). 75 Varick ST, 9TH FL, New York. USA: Nature Publishing Group. (Accepted).

2014

Arevalo, J., Cruz-Roa, A.,& Gonzalez, F. A. (2014).  Histopathology image representation for automatic analysis: A state-of-the-art reviewUniversidad Militar Nueva Granada, Revista Med. Vol. 22, Issue 2, pp. 79-91. doi: 10.18359/rmed.1184. ISSN 0121-5256. (PDF).

Ramos-Pollan, R., Arevalo, J., Cruz-Roa, A., & Gonzalez, F. A. (2014). High Throughput Location Proteomics in Confocal Images from the Human Protein Atlas Using a Bag-of-Features Representation. In Advances in Computational Biology. Advances in Intelligent Systems and Computing. Vol. 232. pp. 77-82. ISSN: 2194-5365doi: 10.1007/978-3-319-01568-2_11. (PDF).

Wang, H., Cruz-Roa, A., Basavanhally, A., Gilmore, H., Shih, N., Feldman, M., Tomaszewski, J., Gonzalez, F. A. & Madabhushi, A. (2014). Mitosis Detection in Breast Cancer Pathology Images by Combining Handcrafted and Convolutional Neural Network Features. Journal of Medical Imaging, Vol 1, Issue 3. pp. 034003 - 034003. ISSN: 2329-4302. doi:10.1117/1.JMI.1.3.034003.

Vanegas, J. A., Arevalo, J., Otálora, S., Páez, F., Pérez-Rubiano, S. A., & Gonzalez, F. A. (2014). MindLab at ImageCLEF 2014: Scalable Concept Image Annotation. In CLEF 2014 Evaluation Labs and Workshop, Online Working Notes. pp. 404-410. ISSN: 1613-0073. Sheffield, UK. (PDF) 

Camargo, J. E., & Gonzalez, F. A. (2014). Multimodal visualization based on latent topic analysis. In Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on. pp. 1-6. IEEE. ISSN: 0018-9219. doi: 10.1109/ICMEW.2014.6890716. Chengdu, China. (PDF).

Rueda, A., Gonzalez, F. A., & Romero, E. (2014). Extracting Salient Brain Patterns for Imaging-Based Classification of Neurodegenerative DiseasesIEEE transactions on medical imaging, ISSN 0278-0062, vol. 33, Issue 6, pp. 1262-1274. doi: 10.1109/TMI.2014.2308999. (PDF).

Caicedo, J. C., Vanegas, J. A., Páez, F., & Gonzalez, F. A. (2014). Histology Image Search Using Multimodal Fusion. Journal of biomedical informatics, Vol. 51, pp. 114-128. ISSN 1532-0464. doi: 10.1016/j.jbi.2014.04.016. (PDF).

Riveros, A., De-Arteaga, M., Gonzalez, F. A., & Jimenez, S. (2014). MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7. SemEval 2014 In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval-2014). pp. 424 - 427. Dublin, Ireland. (PDF).

Vanegas, J. A. & Gonzalez, F. A. (2014). Image Indexing using Regularized Online Non-negative Semantic Embedding. In Intelligent data analysis (IDA), Vol. 18, Issue 6S, pp. S101-S114. ISSN 1088-467X. doi: 10.3233/IDA-140712.

Vanegas, J. A., Arévalo, J. & Gonzalez, F. A. (2014).Unsupervised Feature Learning for Content-based Histopathology Image Retrieval. The 12th International Workshop on Content-Based Multimedia Indexing (CBMI 2014). pp. 1-6. IEEE. ISSN: 0018-9219. doi: 10.1109/CBMI.2014.6849815. Klagenfurt, Austria.  (PDF).

Paez, F. M., Vanegas, J. A. & Gonzalez, F. A. (2014). Online multimodal matrix factorization for human action video indexing. The 12th International Workshop on Content-Based Multimedia Indexing (CBMI 2014). pp. 1 - 6. IEEEISSN: 0018-9219. doi: 10.1109/CBMI.2014.6849823. Klagenfurt, Austria. (PDF).

Wang, H., Cruz-Roa, A., Basavanhally, A., Gilmore, H., Shih, N., Feldman, M., Tomaszewski, J., Gonzalez, F. A. & Madabhushi, A. (2014). Cascaded Ensemble of Convolutional Neural Networks and Handcrafted Features for Mitosis Detection. Digital Pathology Conference. In SPIE Medical Imaging. Vol. 9041. pp. 90410B-90410B. International Society for Optical Engineering. ISSN 0277-786X. Town & Country Resort and Convention Center, San Diego, California, USA. doi:10.1117/12.2043902. (PDF).

Cruz-Roa, A., Basavanhally, A., Gonzalez, F. A., Gilmore, H., Feldman, M., Ganesan, S., Shih, N., Tomaszewski, J., & Madabhushi, A. (2014). Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology Conference. In SPIE Medical Imaging 2014. Vol. 9041. pp. 904103-904103. International Society for Optical Engineering. ISSN 0277-786X. Town & Country Resort and Convention Center, San Diego, California, USA. doi:10.1117/12.2043872. (PDF).

Arévalo, J. E., Ramos-Pollan, R., & Gonzalez, F. A. (2014). Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources. In High Performance Computing. Communications in Computer and Information Science. Vol. 485. pp. 43-53. ISSN 1865-0929. doi: 10.1007/978-3-662-45483-1_4.

2013

Paez, F. M., Vanegas, J. A. & Gonzalez, F. A. (2013) An evaluation of NMF algorithm on human action video retrieval. In Image Signal Processing and Artificial Vision (STSIVA), 2013 XVIII Symposium of. pp. 1-4. IEEE. ISSN: 0018-9219. (PDF).

Vanegas, J. A., & Gonzalez, F. A. (2013). Large Scale Image Indexing Using Online Non-negative Semantic Embedding. In 18th Iberoamerican Congress, CIARP 2013. Lecture Notes in Computer Science, ISSN 0302-9743, Vol 8258, pp. 367-374. doi:10.1007/978-3-642-41822-8_46. La Habana, Cuba. (PDF).

Otálora-Montenegro, S., Pérez-Rubiano, S. A., & Gonzalez, F. A. (2013). Online Matrix Factorization for Space Embedding Multilabel Annotation. In 18th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications CIARP 2013. Lecture Notes in Computer Science. ISSN 0302-9743. pp. 343-350. La Habana, Cuba. (PDF).

López-Monroy, A. P., Montes-y-Gómez, M., Escalante, H. J., Cruz-Roa, A., & Gonzalez, F. A. (2013). Bag-of-visual-ngrams for histopathology image classification. In IX International Seminar on Medical Information Processing and Analysis - SIPAIM 2013. Proceedings Of Spie, The International Society for Optical Engineering, ISSN 0277-786X. Vol. 8922. pp. 89220P-89220P. Mexico D.F.(Mexico). doi:10.1117/12.2034113. (PDF).

Arevalo, J., Cruz-Roa, A., & Gonzalez, F. A. (2013). Hybrid image representation learning model with invariant features for basal cell carcinoma detection. In IX International Seminar on Medical Information Processing and Analysis - SIPAIM 2013. Proceedings Of Spie, The International Society for Optical Engineering, ISSN 0277-786X. Vol. 8922. pp. 89220M-89220M. Mexico D.F. doi:10.1117/12.2035530. (PDF).

Cruz-Roa, A., Arévalo, J, Gonzalez, F. A., & Madabhushi, A. (2013). A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection. The 16th International Conference on Medical Image Computing and Computer Assisted InterventionMICCAI 2013. Lecture Notes in Computer Science, Vol. 8150, pp. 403-410. ISSN 0302-9743. doi: 10.1007/978-3-642-40763-5_50. (PDF).

Dubois M, Rozo P.K., Gepperth A., Gonzalez, F. A.,  & Filliat D. (2013). A Comparison of Geometric and Energy-Based Point Cloud Semantic Segmentation Methods. ECMR'13 6th European Conference on Mobile Robots, Barcelona. pp. 88-93. IEEE. ISSN: 0018-9219. (PDF).

Chavarro, A., Camargo, J., & Gonzalez, F. A. (2013). Visualizing multimodal image collections. In Image, Signal Processing, and Artificial Vision (STSIVA), 2013 XVIII Symposium to. pp. 1-6. IEEE. ISSN: 0018-9219. Bogotá D. C. (PDF).

Camargo J,& Gonzalez, F. A. (2013). MICS: Multimodal Image Collection Summarization by Optimal Reconstruction Subset Selection. In 8th Colombian Computing Congress (8CCC) 2013. pp. 1 - 6. IEEE. ISSN: 0018-9219. (PDF).

Ramos-Pollán R., Arévalo-Ovalle J.,& Gonzalez, F. A. (2013). Learning a bag of features representation of the Human Protein Atlas on the cloud. The Latin American Conference on High Performance Computing (CLCAR) 2013.

Jimenez, S., Becerra, C., Gelbukh, A., Bátiz, A. J. D., & Mendizábal, A. (2013). SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis, Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation. Pages 280-284, Atlanta, Georgia, USA. (PDF).

Rueda A., Gonzalez, F. A., & Romero E. (2013). Saliency-Based Characterization of Group Differences for Magnetic Resonance Disease Classification. Dyna, ISSN 0012-7353, Vol. 80. Núm. 178. pp. 21-28. Medellín. (PDF).

Cruz-Roa, A., Romero, E. & Gonzalez, F. A. (2013). An adaptive image representation learned from data for cervix cancer tumor detection. In SPIE Medical Imaging. Vol.8676. (pp. 86760Q-86760Q). The International Society for Optical Engineering. ISSN 0277-786X.

Camargo, J., Caicedo, C., & Gonzalez, F. A. (2013). A kernel-based framework for image collection exploration, Journal of Visual Languages & Computing, Volume 24, Issue 1, Pages 53-67, ISSN 1045-926X, 10.1016/j.jvlc.2012.10.008. (PDF).

2012

Vanegas, J. A., Caicedo, J., & Gonzalez, F. A. (2012) Indexing Images with Bag-of-Features on a Map-Reduce Architecture. The Latin American Conference on High Performance Computing (CLCAR'12).

Caicedo J. C.,& Gonzalez, F. A. (2012). Image Retrieval Using Multimodal Fusion based on Matrix Factorization. ACM International Conference on Multimedia Information Retrieval. ICMR 2012.

Dueñas G.,& Gonzalez, F. A. (2012). Anotación y descripción de textos digitales sin formato de la base de casos médicos de la Facultad de Medicina de la Universidad Nacional de Colombia. Cuadernos de Lingüística Hispánica. Núm. 20. pp. 83-98.

Camargo, J., Esseiva, P., Gonzalez, F. A., Wist, J., & Patiny, L. (2012). Monitoring of illicit pill distribution networks using an image collection exploration framework, Forensic Science International,ISSN 0379-0738, Volume 223, Issues 1–3, Pages 298-305, ISSN 0379-0738, 10.1016/j. forsciint. 2012.10.004. Elsevier. (PDF).

Cruz-Roa, A., Gonzalez, F. A., Galaro, J., Judkins, A., Ellison, D., Baccon, J., Madabhushi, A., & Romero E. (2012). A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual SlidesThe 15th International Conference on Medical Image Computing and Computer-Assisted Intervention--MICCAI 2012. Nice (France). Lectures Notes in Computer Sciences. Vol. 7510. pp 157-164. ISBN 978-3-642-33414-6. ISSN 0302-9743. doi:10.1007/978-3-642-33415-3_20. (POSTER).

Ramos-Pollán, R., Cruz-Roa, A., & Gonzalez, F. A. (2012). A Framework for High Performance Image Analysis Pipelines7th Colombian Computing Congress (7CCC). pp 1 - 6. IEEE. doi: 10.1109/ColombianCC.2012.6398003. Medellin, Colombia. ISSN: 0018-9219. (PDF).

Caicedo, J. C., BenAbdallah, J., Gonzalez, F. A., & Nasraoui, O. (2012). Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization. Neurocomputing, ISSN 0925-2312, Vol 76. No.1, pp 50–60. Elsevier. (PDF).

Caicedo, J. C., & Gonzalez, F. A. (2012). Multimodal fusion for image retrieval using matrix factorization. Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (ICMR '12). Article pp. 56, 8 pages. ISBN: 978-1-4503-1329-2. doi>10.1145/2324796.2324860. ACM, New York, USA. (PDF).

Caicedo, J., & Gonzalez, F. A. (2012). Online Matrix Factorization for Multimodal Image Retrieval. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science, Vol 7441. pp 340–347. ISSN: 0302-9743. (PDF).

Gonzalez, F. A., Bermeo, D., Ramos, L., & Nasraoui, O. (2012). On the Robustness of Kernel-Based Clustering. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. Vol 7441. pp 122–129. ISSN: 0302-9743. (PDF).

Ramos-Pollan, R., Cruz-Roa, A., & Gonzalez, F. A. (2012). A Framework for High Performance Image Analysis Pipelines over Cloud Resources. The Latin American Conference on High Performance Computing (CLCAR). (PDF)

Ramos-Pollan, R., Gonzalez, F. A., Caicedo, J. C., Cruz-Roa, A., Camargo, J., Vanegas, J., Pérez, S., Bermeo J., Otálora J., Rozo P., Arévalo J. (2012). BIGS: A Framework for Large-Scale Image Processing and Analysis Over Distributed and Heterogeneous Computing Resources. In E-Science (e-Science), IEEE 8th International Conference on eScience. pp. 1 - 8Chicago, USA. doi: 10.1109/eScience.2012.6404424.  ISSN: 0018-9219. (PDF)

Rueda, A., Arevalo, J., Cruz-Roa, A., Romero, E., & Gonzalez, F. A. (2012). Bag of Features for Automatic Classification of Alzheimer’s Disease in Magnetic Resonance ImagesIn Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. Vol. 7441. pp. 559-566. ISSN 0302-9743doi: 10.1007/978-3-642-33275-3_69. (PDF).

Vanegas, J, Caicedo, J., Gonzalez, F. A., & Romero, E. (2012). Histology image indexing using a non-negative semantic embedding. Medical Content-Based Retrieval for Clinical Decision Support, Vol 7075. pp 80–91. MICCAI2011. Springer Berlin Heidelberg. (PDF).

Vanegas, J. A., Caicedo, J. C., Camargo, J. E., Ramos-Pollan, R., & Gonzalez, F. A. (2012). Bioingenium at ImageCLEF 2012: Text and Visual Indexing for Medical Images. In CLEF (Online Working Notes/Labs/Workshop). (PDF)

Vanegas, J., Caicedo J., & Gonzalez, F. A. (2012). Scalable Construction of a Bag of Features Representation Using the MapReduce Architecture. The Latin American Conference on High Performance Computing (CLCAR).

Cruz-Roa, A., Atehortúa, A. & Gonzalez, F. A. (2012). An evaluation of different image features for modality classification in Image. Clefmed 2012 Dataset. 8th International Seminar on Medical Information Processing and Analysis SIPAIM 2012. San Cristobal (Venezuela).

Cruz-Roa, A., Arévalo, J. & Gonzalez, F. A. (2012). Prediction of Morphometric Measures from Bag-of-Features Image Representation of Cervix Cancer Cells. 8th International Seminar on Medical Information Processing and Analysis SIPAIM 2012. San Cristobal (Venezuela). (PDF). (SLIDES)

Rozo Bernal, P. K., González Osorio, F. A., Vanegas Ramírez, J. A., Cruz-Roa, A. A., Camargo Mendoza, J. E., & Caicedo Rueda, J. C. (2012). SISTEMA DE ALMACENAMIENTO, RECUPERACIÓN SEMÁNTICA Y ANOTACIÓN AUTOMÁTICA DE IMÁGENES HISTOLÓGICAS EN UNA INFRAESTRUCTURA GRID POR MEDIO DE RENATA. e-colabora" Revista de ciencia, educación, innovación y cultura apoyadas por redes de tecnología avanzada", Vol. 2 No.4, pp. 86-105.

2011

Pérez, S. A., Otálora, S., Camargo, J. & González F. A. (2011). Explorando grandes colecciones de imágenes de histología a través de factores latentes7th International Seminar on Medical Information Processing and Analysis -SIPAIM 2011. Universidad Industrial de Santander. Bucaramanga (Colombia). (PDF). (POSTER).

Caicedo, J. C., Gonzalez, F. A., & Romero, E. (2011). Content-based histopathology image retrieval using a kernel-based semantic annotation framework. Journal of Biomedical Informatics, ISSN 1532-0464, Vol 44, no. 4, pp 519–528. Elsevier. (PDF)

Becerra, C., Gonzalez, F. A., & Gelbukh, A. (2011). Visualizable and explicable recommendations obtained from price estimation functionsProc. ACM RecSysWorkshop on Human Decision Making, pp. 27-34. Chicago, USA. (PDF).

Cruz-Roa, A, Díaz, G., Romero, E., & Gonzalez, F. A. (2011). Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization. Journal of Pathology Informatics, Vol 2. No. 4. doi:10.4103/2153-3539.92031.

Cruz-Roa, Angel, Caicedo, J. C., & Gonzalez, F. A. (2011). Visual pattern mining in histology image collections using bag of features. ARTIFICIAL INTELLIGENCE IN MEDICINE, ISSN 0933-3657, Vol 52, No 2, pp 91–106. doi:10.1016/j.artmed.2011.04.010. Elsevier. 

Romo, D., Romero, E., & Gonzalez, F. A. (2011). Learning regions of interest from low level maps in virtual microscopy. Diagnostic Pathology6(Suppl 1), S22. (PDF)

Gonzalez, F. A., & Caicedo, J. C. (2011). Quantum latent semantic analysis. In Advances in Information Retrieval Theory. Vol 6931, (pp. 52-63). Lecture Notes in Computer Science. ISSN: 0302-9743. (ICTIR2011). (PDF).

Cruz-Roa, A., Díaz, G., & Gonzalez, F. A. (2011). A framework for semantic analysis of histopathological images using nonnegative matrix factorization. In Computing Congress (CCC), 2011 6th Colombian (pp. 1-7). IEEE. ISSN: 0018-9219.

, doi:10.1109/COLOMCC.2011.5936285. Universidad Nacional de Colombia, Sede Manizales. Manizales (Colombia). (PDF). (SLIDES).

Camargo, J. E., & Gonzalez, F. A. (2011). Multimodal Image Collection Summarization Using Non-Negative Matrix Factorization. In 6th Colombian Computing Congress (6CCC'11). pp 1-6. ISBN 978-1-4577-0284-6.

Cruz-Roa, A., Spinel, C., Seligmann, D., Romero, E., González, F. A., Diaz, G., Forero, J., Caicedo, J.C. & Revelo, N. (2011). Sistema para la Recuperación por Contenido en un Banco de Imágenes Médicas. E-colabora" Revista de ciencia, educación, innovación y cultura apoyadas por redes de tecnología avanzada", Ministerio de Educación Nacional, Colciencias y RENATA. 1(1), pp. 60-64. (PDF).

2010

Gonzalez, F. A., Caicedo, J., Cruz-Roa, A., Camargo, J., & Spinel, C. (2010). A System for Accessing a Collection of Histology Images Using Content-Based StrategiesActa Biológica Colombiana, ISSN 0120-548X, Vol. 15 No. 3, pp 221-234. (PDF).

Cruz-Roa, A., Caicedo, J. C., & Gonzalez, F. A. (2010). Visual mining in histology images using bag of features. In 6 th International Seminar on Medical Image Processing and Analysis-SIPAIM (Vol. 2010). Hemeroteca Nacional de Colombia. Bogotá (Colombia). ISBN: 978-958-719-614-6. (SLIDES).

Romero E., & Gonzalez, F. A. (2010). From Image Analysis to Image Understanding Using Machine Learning. Chapter in Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques. Medical Information Reference (IGI Global).

BenAbdallah, J., Caicedo, J. C., Gonzalez, F. A., & Nasraoui, O. (2010). Multimodal image annotation using non-negative matrix factorization. In Proceedings of the International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), IEEE/WIC/ACM. (Vol. 1, pp. 128-135). IEEE.  ISSN: 0018-9219. Toronto, Canada. (PDF).

Gonzalez, F. A., Caicedo, J. C., Nasraoui, O., & Ben-Abdallah, J. (2010). NMF-based multimodal image indexing for querying by visual example. In Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR'10). pp. 366–373. ACM. (PDF).

Camargo, J. E., Caicedo, J. C., Chavarro, A. M., & Gonzalez, F. A. (2010). A kernel-based strategy for exploratory image collection search. In Proceedings of the International Workshop on Content-Based Multimedia Indexing (CBMI'10). pp. 1–6. IEEE.  ISSN: 0018-9219. (PDF).

Caicedo, J. C., Moreno, J. G., Niño, E. A., & Gonzalez, F. A. (2010). Combining visual features and text data for medical image retrieval using latent semantic kernels. In Proceedings of the 11th ACM SIGMM international conference on Multimedia information retrieval (MIR'10). pp. 359–366. (PDF

Camargo, J., Caicedo, J., & Gonzalez, F. A. (2010). Multimodal image collection visualization using non-negative matrix factorization. Research and Advanced Technology for Digital Libraries (ECDL2010), Vol 6273, pp 429–432. Springer Berlin Heidelberg. (PDF).

Moreno, J., Caicedo, J., & Gonzalez, F. A. (2010). A Kernel-Based Multi-Feature Image Representation For Histopathology Image Classification. Acta Biológica Colombiana, ISSN 0120-548X, Vol 15(No. 3), pp 251-260. 

Gonzalez, F. A., & Romero, E. (2010). Biomedical image analysis and machine learning technologies: Applications and techniques. Medical Information Science Reference. (IGI Global), USA. ISBN 978-1-60566-956-4.

Jimenez, S., Gonzalez, F. A., & Gelbukh, A. (2010). Text comparison using soft cardinality. String Processing and Information Retrieval (SPIRE'09). Vol 6393. (pp. 297–302). Lecture Notes in Computer Science. ISSN: 0302-9743. (PDF).

Caicedo, J., Camargo, J., & Gonzalez, F. A. (2010). Content-Based Access to Medical Image Collections. Chapter in Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques. Medical Information Reference (IGI Global).

2009

Cruz-Roa, A., Caicedo, J.C. & Gonzalez, F. A. (2009). Automatic Medical Images Annotation from a Representation of Bag of Visual Features. Encuentro Nacional de Investigación en Posgrados – ENIP 2009. Edificio de Posgrados de Ciencias Humanas (Edif 225, Rogelio Salmona) Universidad Nacional de Colombia. Bogotá D.C. ISBN 978-958-719-374-9. (SLIDES).

Cruz-Roa, A., Caicedo, J., & Gonzalez, F. A. (2009). Visual pattern analysis in histopathology images using bag of features.In 14th Iberoamerican Conference On Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP)Lecture Notes in Computer ScienceISSN 0302-9743, Vol 5856, pp 521–528. Guadalajara, México. (PDF).

González, F. A., Caicedo, J. C., Camargo, J. E., Cruz-Roa, A., Spinel, C. & Romero, E. (2009). Sistema para Acceder una Colección de Imágenes Biomédicas Mediante Estrategias Basadas En el Contenido. Quinto Seminario Internacional de Ingeniería Biomédica (SIB) y V Seminario Internacional de Procesamiento y Análisis de Imágenes Médicas (SIPAIM). Universidad de los Andes, Bogotá. ISBN: 978-958-695-478-5.

Riveros, A., Cruz-Roa, A., Caicedo, J.C., González, F.A. & Romero, E. (2009). Anonimización Automática de Imágenes y Datos Personales En Historias Clínicas de Dermatología. Quinto Seminario Internacional de Ingeniería Biomédica (SIB) y V Seminario Internacional de Procesamiento y Análisis de Imágenes Médicas (SIPAIM). Universidad de los Andes, Bogotá. ISBN: 978-958-695-478-5.

Gonzalez, F. A., Caicedo, J., Cruz-Roa, A., Camargo, J., Romero, E., Spinel, C., Revelo, N., Seligmann, D., & Forero J. (2009). A Web-Based System for Biomedical Image Storage, Annotation, Content-Based Retrieval and Exploration. Microsoft eScience Workshop, Cernegie Mellon University, Pittsburgh, PA. USA. (PDF). (Video). (SLIDES).

Camargo, J. E., & Gonzalez, F. A. (2009). A multi-class kernel alignment method for image collection summarization. In 14th Iberoamerican Conference On Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP'09). Lecture Notes in Computer Science, ISSN 0302-9743, Vol. 5856, pp 545–552. Guadalajara, México. (PDF).

Camargo, J., Caicedo, J., & Gonzalez, F. A. (2009). Kernel-based visualization of large collections of medical images involving domain knowledge. Proceedings of the X Congreso Internacional de Interacción Persona-Ordenador (AIPO'09). Barcelona, España. (PDF).

Camargo, J., & Gonzalez, F. A. (2009). Visualization, Summarization and Exploration of Large Collections of Images: State Of The Art. In Latin-American Conference On Networked and Electronic Media. LACNEMISBN: 98-958-44-5473-7. (PDF).

Caicedo, J. C., Cruz-Roa, A., & Gonzalez, F. A. (2009). Histopathology image classification using bag of features and kernel functions. Artificial Intelligence in Medicine. Lecture Notes in Computer Science, ISSN 0302-9743. AIME09, Vol 5651. pp 126–135. Verona, Italia. (PDF).

Camargo, J., Gonzalez, F. A., & Torres, R. (2009). Visualization of large collections of medical images. Proceedings of the IV Congreso Colombiano de Computacion (4CCC). Universidad Autónoma de Bucaramanga. Colombia. (PDF).

Jimenez, S., Becerra, C., Gelbukh, A., & Gonzalez, F. A. (2009). Generalized mongue-elkan method for approximate text string comparison. In 10th conference international on Computational Linguistics and Intelligent Text Processing (CILCLIing'09). Lectures Notes in Computer Science. ISSN 0302-9743. Vol 5449. pp. 559-570. Ciudad de México, México. (PDF).

2008

Becerra C., Jimenez S.,& Gonzalez, F. A. (2008). A 3-Class Boosting Technique for Improving Regression Models, in Proceedings of the International Conference in Data Mining (DMIN'08), pp 130-136.

Cruz-Roa, A., & González, F. A. (2008). Aprendizaje Transductivo para la Clasificación de Imágenes Médicas de RadiologíaIV Congreso Colombiano de Computación. UNAB, UIS, Universidad Nacional Autónoma de Bucaramanga, Bucaramanga (Santander). Registro ISBN 978-958-8166-43-8. (PDF).

Jimenez V, S. G., & Gonzalez O, F. A. (2008). An Ontology-Based Information Extractor for Data-Rich Documents in the Information Technology DomainAvances en sistemas e informatica, Vol 5, No. 1, pp. 47-54. Facultad de Minas, Universidad Nacional de Colombia, Medellín.

Galeano, J. C., & Gonzalez, F. A. (2008). Towards a Kernel-Based Model for Artificial Immune NetworksAvances en sistemas e informatica, Vol 5, No. 1, pp. 65-71. Facultad de Minas, Universidad Nacional de Colombia, Medellín.

Nino, E. A., Caicedo, J. C., & Gonzalez, F. A. (2008). Metric indexing for content-based medical image retrievalAvances en sistemas e informatica. Vol. 5, No. 1, pp. 73-79.  Facultad de Minas, Universidad Nacional de Colombia, Medellín.

Linares, M., Hernandez, D. F., & Gonzalez, F. A. (2008). Exploiting Stock Data: a Survey of State of the Art Computational Techniques Aimed at Producing Beliefs Regarding Investment PortfoliosIngeniería e Investigación, ISSN 0120-0464, Vol 28, No. 1, pp 105-116. Facultad de Ingeniería, Bogotá, Universidad Nacional de Colombia. (PDF).

Díaz, G., Gonzalez, F. A., & Romero, E. (2008). A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic imagesJournal of Biomedical Informatics, Vol 42(No.2), pp 296–307. Elsevier.

Caicedo, J., Gonzalez, F. A., & Romero, E. (2008). A semantic content-based retrieval method for histopathology images. Information Retrieval Technology. Lecture Notes in Computer Science, ISSN 0302-9743, AIRS2008 proceedings, Vol 4993, pp 51–60. (PDF).

Caicedo, J., Gonzalez, F. A., & Romero, E. (2008). Content-based medical image retrieval using low-level visual features and modality identification. In Proceedings of the Cross Language Evaluation Forum (CLEF'07). Advances in Multilingual and Multimodal Information Retrieval, Lecture Notes in computer Science (LNCS) series, ISSN 0302-9743, Vol 5152, pp 615–622. (PDF).

Galeano-Huertas, J., & Gonzalez, F. A. (2008). INDIE: An Artificial Immune Network for On-Line Density Estimation. Lecture Notes in Computer Science, ISSN 0302-9743, MICAI 2008: Advances in Artificial Intelligence, Vol 5317, pp 254–265.

Becerra, C. J., Gonzalez, F. A., & Jimenez, S. G. (2008). 3-Functions Meta-Learner Algorithm: a Mixture of Experts Technique to Improve Regression Models. Proceedings of The 2008 International Conference on Data Mining, In DMIN 2008. pp. 130-136. Las Vegas, USA. (PDF).

2007

Rodríguez C., González F. A., & Cruz J. D. (2007). Una Aproximación a la Categorización automática de Correos Electrónicos. In Proceedings of 2do Congreso Colombiano de Computación (CCC2007). Bogotá.

Bucheli V. A. & González F. A. (2007). Herramienta informática para vigilancia tecnológica -VIGTECH- Avances en Sistemas e Informática. Vol 4. No. 1. pp 117-126. Facultad de minas, Universidad Nacional de Colombia, Medellín.

Salamanca, A., González, F. A., & León, E. (2007). Análisis global de comportamiento web en la Universidad Nacional de Colombia. In Proceedings of XXXIII Conferencia Latinoamericana de Informática (CLEI2007). Costa Rica.

Sanchez, O., Payan C., Bobadilla L., Gonzalez, F. A., Barreto E. (2007). Gene Selection Based on Category Detection of Gene Ontology. In Procedings of 7th International Conference for the Critical Assessment of Microarray Data Analysis, CAMDA'07. (PDF).

Caicedo, J., Gonzalez, F. A., Triana, E., & Romero, E. (2007). Design of a medical image database with content-based retrieval capabilities. In Advances in Image and Video Technology. IEEE PSIVT2007. Lecture Notes in Computer Science, ISSN 0302-9743, Vol 4872, pp. 919–931. IEEE Pacific Rim Symposium on Image Video and Technology. ISSN: 0018-9219. Santiago, Chile. (PDF).   

Díaz, G., Gonzalez, F. A., & Romero, E. (2007). Infected cell identification in thin blood images based on color pixel classification: comparison and analysis. Progress in Pattern Recognition, Image Analysis and Applications. Lecture Notes in Computer Science, ISSN 0302-9743, CIARP2007 proceedings, Vol 4756, pp. 812–821.

Nasraoui, O., Cerwinske, J., Rojas, C., & Gonzalez, F. A. (2007). Performance of recommendation systems in dynamic streaming environments. In Proceedings of SDM-SIAM International Conference on Data Mining, SDM2007, Minneapolis MI. (PDF).

Durak, N., Nasraoui, O., Gomez, J., Gonzalez, F. A., Elgazzar, H., Sellah, S., Rojas, C., et al. (2007). Mining Coronal Loops in Solar Images from the SOHO collection. In Proceedings of the Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS'07). (pp. 514–519). IEEE.  ISSN: 0018-9219.

Bucheli V. A.,& González F. A. (2007). Herramienta informática para vigilancia tecnológica -VIGTECH-,Avances en Sistemas e Informática. Vol 4, No. 1. pp 117-126. Facultad de Minas, Universidad Nacional de Colombia, Medellín.

Caicedo, J. C., González, F. A., Romero, E., & Sánchez, Y. (2007). Evaluación de Características de Bajo Nivel para Recuperación de Imágenes de Histología por Contenido. In Proceedings of 2do Congreso Colombiano de Computación (CCC2007), Bogotá. (PDF)

Díaz, G., Gonzalez, F. A., & Romero, E. (2007). Automatic clump splitting for cell quantification in microscopical images. In Progress in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science (LNCS) series. Vol 4756, pp. 763–772. Springer Verlang. ISSN 0302-9743. (PDF).

Alonso, O., Gonzalez, F. A., Niño, F., & Galeano, J. (2007). A solution concept for artificial immune networks: A coevolutionary perspective. In Proceedings of the International Conference in Artificial Immune Systems. Lecture Notes in Computer Science, ISSN 0302-9743, ICARIS2007, Vol 4628, pp 35–46. (PDF).

2006

Nasraoui, O., Cerwinske, J., Rojas, C., & Gonzalez, F. A. (2006). Collaborative filtering in dynamic usage environments. In Proceedings of the 15th ACM international conference on Information and knowledge management (CIKM). (pp. 794-795). ACM.

Manana, G., Romero, E., & Gonzalez, F. A. (2006). A grid computing approach to subtraction radiography. In Proceedings of the IEEE International Conference on Image Processing (ICIP'06). (pp. 3325-3328). IEEE. ISSN: 0018-9219.

Gonzalez, F. A., Galeano, J. C., Rojas, D. A., & Veloza-Suan, A. (2006). A neuro-immune model for discriminating and visualizing anomaliesNatural Computing, Vol 5(No. 3), pp 285-304. Springer-Verlag.

2005

Dasgupta, D., Gonzalez, F. A., Yallapu, K., Gomez, J., & Yarramsettii, R. (2005). CIDS: An Agent-based Intrusion Detection SystemComputers & Security. Vol 24. Issue 5. pp 387-398. Elsevier. (PDF).

Mojica J. A., Rojas D. A., Gómez J. & Gonzalez, F. A. (2005). Page Clustering Using a Distance-Based Algorithm. In Proceedings of the  Third Latin American Web Congress (LA-WEB'2005). IEEE Comp Soc. (pp. 223-229). ISSN: 0018-9219.

Gonzalez, F. A., Galeano, J. C., Rojas, D. A., & Veloza-Suan, A. (2005). Discriminating and visualizing anomalies using negative selection and self-organizing maps. In Proceedings of the 2005 conference on Genetic and Evolutionary Computation (GECCO'05). (pp. 297-304). ACM Press, New York, NY. (Artificial Immune Systems track Best Paper Award Winner). (PDF).

Galeano, J. C., Veloza-Suan, A., & Gonzalez, F. A. (2005). A comparative analysis of artificial immune network models. In Proceedings of the 2005 conference on Genetic and Evolutionary Computation (GECCO'05). (pp. 361-368). ACM Press, New York, NY. (PDF).

Manana, G., Gonzalez, F. A., & Romero, E. (2005). Distributed genetic algorithm for subtraction radiography. In GECCO Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC 2005). (pp. 140-146). ACM. Washington DC, USA. (PDF).

Cruz, J. D., Gonzalez, F. A., & Meneses, G. A. (2005). FIADA: Framework para la Implementación de Algoritmos de Detección de Anomalías. In Proceedings of the  International Congress on Computational Intelligence (CIIC). (pp. 66-73). Montería, Colombia.

Romero A., Linares M.,& González F. A. (2005). Diseño de Circuitos Analógicos con Programación Genética. In Proceedings of the  International Congress on Computational Intelligence (CIIC). Montería, Colombia.

Galeano, J. C., González, F. A., Rojas, D. A., & Veloza-Suan, A. (2005). Algoritmo Bio-Inspirado para la Detección y Visualización de Anomalías. In Proceedings of the International Congress on Computational Intelligence (CIIC). (pp. 162-169). Montería, Colombia.

Galeano, J. C., Veloza-Suan, A., & González, F. A. (2005). Redes Inmunológicas Artificiales: Una Introducción. In Proceedings of the International Congress on Computational Intelligence (CIIC). (pp. 170-177). Montería, Colombia.

Dasgupta, D., & Gonzalez, F. A. (2005). Artificial Immune Systems in Intrusion Detection. Chapter in Enhancing computer security with Smart TechnologyV. Rao Vemuri ed., CRC Press. pp 165-208. (PDF).

2004 and before

Ordoñez Salinas, S., & González O, F. A. (2004). Sistemas de recuperación de informaciónIngeniería. Vol 9, No. 1, pp 57-62. Univ. Distrital Fco. José de Caldas, Bogotá D.C., Colombia.

Reyes, C., & Gonzalez, F. A. (2004). Mechanical Design Optimization of a Walking Robot Leg Using Genetic Algorithm. In Proceedings of the 7th International Conference on Climbing and Walking Robots (CLAWAR-04). pp. 275-284. Madrid, Spain.

Dasgupta, D., Ji, Z., & Gonzalez, F. A. (2003). Artificial immune system (AIS) research in the last five years. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'03).Vol. 1, pp. 123-130. IEEE. ISSN: 0018-9219. Canberra, Australia. (PDF).

Gonzalez, F. A., & Dasgupta, D. (2003). Anomaly detection using real-valued negative selectionGenetic Programming and Evolvable Machines, Vol 4, No. 4. pp 383-403. Kluwer Acad. Publ. (PDF).

Nasraoui, O., Uribe, C. C., Coronel, C. R., & Gonzalez, F. A. (2003). Tecno-streams: tracking evolving clusters in noisy data streams with a scalable immune system learning model. In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003). pp. 235-242. Melbourne, FL. IEEE. ISSN: 0018-9219. (PDF).

Gonzalez, F. A., Dasgupta, D., & Niño, L. F. (2003). A randomized real-valued negative selection algorithm. In Proceedings of the 2nd International Conference on Artificial Immune Systems. ICARIS2003. Vol 2787, pp 261-272. Edinburgh, UK. (PDF).

Nasraoui, O., Cardona, C., Rojas, C., & Gonzalez, F. A. (2003). Mining evolving user profiles in noisy web clickstream data with a scalable immune system clustering algorithm. In Proceedings of the Fifth WEBKDD workshop (WEBKDD'03). pp 71-81. Washington DC, USA. ACM Press. (PDF).

Gómez, J., Dasgupta, D., & Gonzalez, F. A. (2003). Using adaptive operators in genetic search. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2003). Lecture Notes in Computer Science, Vol 2724, pp. 1577-1578. ISSN: 0302-9743. (PDF).

Nasraoui, O., Gonzalez, F. A., Cardona, C., Rojas, C., & Dasgupta, D. (2003). A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2003). Vol 2723. pp. 222-233. Springer Berlin Heidelberg. (PDF).

Gonzalez, F. A., Gómez, J., & Dasgupta, D. (2003). An evolutionary approach to generate fuzzy anomaly (attack) signatures. In Proceedings of the IEEE Information Assurance Workshop. Man and Cybernetics Society (pp. 251-259). IEEE. ISSN: 0018-9219. (PDF).

Gonzalez, F. A., & Dasgupta, D. (2003). A study of artificial immune systems applied to anomaly detection. Doctoral dissertation, University of Memphis. (PDF).

Gómez, J., Gonzalez, F. A., & Dasgupta, D. (2003). An immuno-fuzzy approach to anomaly detection. In Proceedings of The 12th IEEE International Conference on Fuzzy Systems (FUZZ'03). Vol. 2, pp. 1219-1224. IEEE. ISSN: 0018-9219. St. Louis, MO. (PDF).

Gómez, J., Dasgupta, D., & Gonzalez, F. A. (2003). Detecting Cyber Attacks with Fuzzy Data Mining Techniques. In Proceedings of the Workshop on Data Mining for Counter Terrorism and Security, 3rd SIAM Conference on Data Mining. San Francisco, CA. (PDF).

Gonzalez, F. A., Dasgupta, D., & Gómez, J. (2003). The effect of binary matching rules in negative selection. In Genetic and Evolutionary Computation (GECCO2003). Vol 2723. pp 198-209. Springer Berlin Heidelberg. (PDF).

Gonzalez, F. A., & Dasgupta, D. (2002). Neuro-immune and self-organizing map approaches to anomaly detection: A comparison. In First International Conference on Artificial Immune Systems. pp. 203-211. Canterbury, UK. (PDF).

Nasraoui, O., Dasgupta, D., & Gonzalez, F. A. (2002). A Novel Artificial Immune System Approach to Robust Data Mining. In GECCO 2002: late breaking papers of the Genetic and Evolutionary Computation Conference. pp. 356-363. New York. (PDF).

Gonzalez, F. A., & Dasgupta, D. (2002). An Imunogenetic Technique To Detect Anomalies In Network Traffic. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). pp. 1081-1088. New York. Morgan Kaufmann Publishers. (PDF).

Dasgupta, D., & Gonzalez, F. A. (2002). An Immunity-Based Technique to Characterize Intrusions in Computer NetworksIEEE Transactions on Evolutionary Computation. Vol 6. No. 3. pp 1081-1088. ISSN: 0018-9219. (PDF).

Gómez, J., Dasgupta, D., Nasraoui, O., & Gonzalez, F. A. (2002). Complete expression trees for evolving fuzzy classifier systems with genetic algorithms and application to network intrusion detection. In Fuzzy Information Processing Society. Proceedings of NAFIPS-FLINT joint conference. pp 469-474. Annual Meeting of the North American. IEEE. ISSN: 0018-9219. New Orleans, LA. (PDF).

Gonzalez, F. A., Dasgupta, D., & Kozma, R. (2002). Combining negative selection and classification techniques for anomaly detection. In Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on (Vol. 1, pp. 705-710). IEEE. ISSN: 0018-9219. Honolulu, HI. (PDF).

Nasaroui, O., Gonzalez, F. A., & Dasgupta, D. (2002). The fuzzy artificial immune system: Motivations, basic concepts, and application to clustering and web profiling. In IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Vol 1, pp 711-716. IEEE. ISSN: 0018-9219. Hawaii, HI. (PDF).

Nasraoui, O., Dasgupta, D., & Gonzalez, F. A. (2002). The promise and challenges of artificial immune system based web usage mining: Preliminary results. In Proceedings of the Workshop on Web Analytics at Second SIAM International Conference on Data Mining (SDM), Arlington, VA. (PDF).

Gonzalez F. A., Majumdar N. S., Lin K. I., & Dasgupta D. (2002). Tool to Generate Local Internet Weather. In Proceedings of ISCA 17th International Conference on Computers and their Applications (CATA). pp 507-510. San Francisco, CA. ISCA. 

Dasgupta, D., & Gonzalez, F. A. (2001). Evolving complex fuzzy classifier rules using a linear tree genetic representation. In Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO). (pp. 299-305). San Francisco, CA. Morgan Kaufmann. (PDF).

Dasgupta, D., & Gonzalez, F. A. (2001). An intelligent decision support system for intrusion detection and response. Chapter In Information Assurance in Computer Networks. pp. 1-14. Lecture Notes in Computer Science. ISSN: 0302-9743. (PDF).

González F. A. (1998). Fórmulas, Lambda-Términos y Combinadores: Multicategorizaciones y Correspondencias Multifuntoriales. Tesis de Magister en Matemáticas, Universidad Nacional de Colombia.

González, F. A. (1998). Programación funcional: conceptos y perspectivasIngeniería e Investigación, No. 40,  pp. 65-71. Facultad de Ingeniería, Universidad Nacional de Colombia. (PDF).

González F. A., & Torres L. G. (1997). Visión Estadística de las Redes Neuronales. En XIV Coloquio Distrital de Matemáticas y Estadística, Publicaciones Universidad Distrital Francisco José de Caldas.

Bautista, M. J. M. & González, F. A. (1996). Desarrollo de un agente inteligente para Internet utilizando algoritmos genéticos y lógica difusaRevista EAN, (28-29), pp. 5-16. ISSN: 0120-8160. (PDF).

Gómez J., & González, F. A. (1995). Un nuevo enfoque para la resolución de problemas: las redes neuronales. Revista Escuela de Administración de Negocios, 35-40. (PDF)

González F. A., & Gómez J. (1993). Herramienta para la Edición, Entrenamiento y Simulación de Redes Neuronales. Proyecto de grado de Ingeniería de Sistemas, Universidad Nacional de Colombia.