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ORCIDFabio A. González 0001
Fabio Augusto González Osorio
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- affiliation: National University of Colombia, Bogotá, Colombia
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2020 – today
- 2025
[j54]Juan E. Ardila-García, Vladimir Vargas-Calderón, Fabio A. González, Diego H. Useche, Herbert Vinck-Posada:
MEMO-QCD: quantum density estimation through memetic optimisation for quantum circuit design. Quantum Mach. Intell. 7(1): 3 (2025)- [j53]Horacio Jesús Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González:
GHA: A Gated Hierarchical Attention Mechanism for the Detection of Abusive Language in Social Media. IEEE Trans. Affect. Comput. 16(2): 946-959 (2025) - [c126]Diego Bravo, Josué Ruano, Martín Gómez, Fabio A. González, Eduardo Romero:
Self-Supervised Learning for Multi-Category Endoscopy Classification and Data Quality Evaluation Using Masked Autoencoders. ISBI 2025: 1-5 - 2024
- [j52]Fabio A. González
, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Correction: Learning with density matrices and random features. Quantum Mach. Intell. 6(1): 30 (2024) - [c125]Yigeng Zhang, Fabio A. González, Thamar Solorio:
Interpreting Themes from Educational Stories. LREC/COLING 2024: 9190-9203 - [c124]Diego Bravo, Josué Ruano, María Jaramillo, Sebastian Medina, Martín Gómez, Fabio A. González, Eduardo Romero:
Automatic Endoscopy Classification by Fusing Depth Estimations and Image Information. ISBI 2024: 1-5 - [c123]María Jaramillo, Diego Bravo, Jose Miguel Quijano, Martín Gómez, Fabio A. González, Eduardo Romero:
Predicting Metaplasia in Upper Gastrointestinal Images from White Light Endoscopy. ISBI 2024: 1-5 - [c122]Ricardo A. Moncayo, María Jaramillo, Leidy T. Molano, David Cordoba, David Becerra, Javier Revelo-Fuelagán, Martín Gómez, Fabio A. González, Eduardo Romero:
Finding Out and Quantifying Nuclei Differences in Metaplastic Gastric Glands and Surrounding Nuclei. ISBI 2024: 1-5 - [c121]Josué Ruano, Diego Bravo, Diana Giraldo, Martín Gómez, Fabio A. González, Antoine Manzanera, Eduardo Romero:
Estimating Polyp Size From a Single Colonoscopy Image Using a Shape-From-Shading Model. ISBI 2024: 1-5 - [c120]Andrés Felipe Carrera-Pinzón, Leonard Toro-Quitian, Juan Camilo Torres, Alexander Cerón, Wilson J. Sarmiento, Arnold Mendez-Toro, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Carlos Órtiz Davila, Fabio A. González, Eduardo Romero, Marcela Iregui Guerrero:
Characterizing the Left Ventricular Ultrasound Dynamics in the Frequency Domain to Estimate the Cardiac Function. MICCAI (1) 2024: 221-230 - [i34]Yigeng Zhang, Fabio A. González, Thamar Solorio:
Interpreting Themes from Educational Stories. CoRR abs/2404.05250 (2024) - [i33]Juan E. Ardila-García, Vladimir Vargas-Calderón, Fabio A. González, Diego H. Useche, Herbert Vinck-Posada:
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design. CoRR abs/2406.08591 (2024) - [i32]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
Latent Anomaly Detection Through Density Matrices. CoRR abs/2408.07623 (2024) - 2023
- [j51]Joseph A. Gallego-Mejia, Fabio A. González:
DEMANDE: Density Matrix Neural Density Estimation. IEEE Access 11: 53062-53078 (2023) - [j50]Vladimir Vargas-Calderón, Herbert Vinck-Posada, Fabio A. González:
An empirical study of quantum dynamics as a ground state problem with neural quantum states. Quantum Inf. Process. 22(4): 165 (2023) - [c119]Joseph A. Gallego-Mejia, Oscar A. Bustos-Brinez, Fabio A. González:
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract). AAAI 2023: 16210-16211 - [c118]Andrés Rosso-Mateus, León A. Muñoz-Serna, Manuel Montes-y-Gómez, Fabio A. González:
Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge. CLEF (Working Notes) 2023: 168-177 - [c117]Diego Bravo, Josué Ruano, María Jaramillo, Daniel Gallego, Martín Gómez, Fabio A. González, Eduardo Romero:
Automatic Classification of Esophagogastroduodenoscopy Sub-Anatomical Regions. ISBI 2023: 1-5 - [c116]Diego Bravo, Sebastian Medina, Josué Ruano, María Jaramillo, Martín Gómez, Fabio A. González, Eduardo Romero:
Automated Anatomical Classification and Quality Assessment of Endoscopy by Temporal-Spatial Analysis. SIPAIM 2023: 1-5 - [c115]María Jaramillo, Josué Ruano, Diego Bravo, Sebastian Medina, Martín Gómez, Fabio A. González, Eduardo Romero:
Automatic Localization of Pancreatic Tumoral Regions in Whole Sequences of Echoendoscopy Procedures. SIPAIM 2023: 1-5 - [c114]Josué Ruano, Diego Bravo, María Jaramillo, Martín Gómez, Javier Pascau, Fabio A. González, Eduardo Romero:
Generating synthetic endoscopy videos following a systematic screening protocol. SIPAIM 2023: 1-5 - [d7]Joseph A. Gallego-Mejia, Fabio A. González:
DEMANDE Dataset. Zenodo, 2023
- [d6]Raúl Ramos-Pollán, Fabio A. González:
Sentinel2 RGB chips over BENELUX with ESA World Cover for Learning with Label Proportions. Zenodo, 2023 - [d5]Raúl Ramos-Pollán, Fabio A. González:
Sentinel2 RGB chips over Colombia (NE) with ESA World Cover for Learning with Label Proportions. Zenodo, 2023 - [d4]Raúl Ramos-Pollán, Fabio A. González:
Sentinel2 RGB chips over Colombia (NE) with JRC GHSL Population Density 2015 for Learning with Label Proportions. Zenodo, 2023 - [d3]Raúl Ramos-Pollán, Fabio A. González:
Sentinel2 RGB chips over BENELUX with JRC GHSL Population Density 2015 for Learning with Label Proportions. Zenodo, 2023 - [d2]Raúl Ramos-Pollán, Fabio Augusto González Osorio:
Learning with Label Proportions on Sentinel-2 RGB imagery. IEEE DataPort, 2023 - [i31]Anamaria Mojica-Hanke, Andrea Bayona, Mario Linares-Vásquez, Steffen Herbold, Fabio A. González:
What are the Machine Learning best practices reported by practitioners on Stack Exchange? CoRR abs/2301.10516 (2023) - [i30]Fabio A. González, Raúl Ramos-Pollán, Joseph A. Gallego-Mejia:
Quantum Kernel Mixtures for Probabilistic Deep Learning. CoRR abs/2305.18204 (2023) - [i29]Raúl Ramos-Pollán, Fabio A. González:
Lightweight learning from label proportions on satellite imagery. CoRR abs/2306.12461 (2023) - [i28]Yigeng Zhang, Mahsa Shafaei, Fabio A. González, Thamar Solorio:
Positive and Risky Message Assessment for Music Products. CoRR abs/2309.10182 (2023) - [i27]Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - 2022
- [j49]Santiago Toledo-Cortés, Diego H. Useche, Henning Müller, Fabio A. González:
Grading diabetic retinopathy and prostate cancer diagnostic images with deep quantum ordinal regression. Comput. Biol. Medicine 145: 105472 (2022) - [j48]Camilo Gutierrez-Osorio, Fabio A. González, Cesar Augusto Pedraza:
Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data. Comput. 11(9): 126 (2022) - [j47]Diego H. Useche, Andres Giraldo-Carvajal, Hernan M. Zuluaga-Bucheli, Jose A. Jaramillo-Villegas, Fabio A. González:
Quantum measurement classification with qudits. Quantum Inf. Process. 21(1): 12 (2022) - [j46]Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Learning with density matrices and random features. Quantum Mach. Intell. 4(2): 1-17 (2022) - [j45]Vladimir Vargas-Calderón, Fabio A. González, Herbert Vinck-Posada:
Optimisation-free density estimation and classification with quantum circuits. Quantum Mach. Intell. 4(2): 1-9 (2022) - [c113]Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. IBERAMIA 2022: 160-172 - [c112]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
InQMAD: Incremental Quantum Measurement Anomaly Detection. ICDM (Workshops) 2022: 787-796 - [c111]Joseph Gallego-Mejia, Daniela Martin-Vega, Fabio A. González:
Risk Automatic Prediction for Social Economy Companies Using Camels. WEA 2022: 66-76 - [d1]Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features Software. Zenodo, 2022 - [i26]Vladimir Vargas-Calderón, Fabio A. González, Herbert Vinck-Posada:
Optimisation-free Classification and Density Estimation with Quantum Circuits. CoRR abs/2203.14452 (2022) - [i25]Vladimir Vargas-Calderón, Herbert Vinck-Posada, Fabio A. González:
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States. CoRR abs/2206.09241 (2022) - [i24]Joseph Alejandro Gallego, Fabio A. González:
Quantum Adaptive Fourier Features for Neural Density Estimation. CoRR abs/2208.00564 (2022) - [i23]Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. CoRR abs/2208.01206 (2022) - [i22]Jose Miguel Arrieta Ramos, Oscar J. Perdomo, Fabio A. González:
Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection. CoRR abs/2208.02408 (2022) - [i21]Joseph Gallego-Mejia, Daniela Martin-Vega, Fabio A. González:
Risk Automatic Prediction for Social Economy Companies using Camels. CoRR abs/2210.05052 (2022) - [i20]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
InQMAD: Incremental Quantum Measurement Anomaly Detection. CoRR abs/2210.05061 (2022) - [i19]Oscar Bustos-Brinez, Joseph Gallego-Mejia, Fabio A. González:
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features. CoRR abs/2210.14796 (2022) - [i18]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection. CoRR abs/2211.08525 (2022) - 2021
- [j44]Joseph Alejandro Gallego, Fabio A. González, Olfa Nasraoui:
Robust kernels for robust location estimation. Neurocomputing 429: 174-186 (2021) - [c110]Yigeng Zhang, Mahsa Shafaei, Fabio A. González, Thamar Solorio:
From None to Severe: Predicting Severity in Movie Scripts. EMNLP (Findings) 2021: 3951-3956 - [c109]Juan S. Lara, Mario Ezra Aragón, Fabio A. González, Manuel Montes-y-Gómez:
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media. TDS 2021: 60-72 - [i17]Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Learning with Density Matrices and Random Features. CoRR abs/2102.04394 (2021) - [i16]Vladimir Vargas-Calderón, Nicolás Parra-A., Herbert Vinck-Posada, Fabio A. González:
Many-Qudit representation for the Travelling Salesman Problem Optimisation. CoRR abs/2102.13298 (2021) - [i15]Juan S. Lara, Mario Ezra Aragón, Fabio A. González, Manuel Montes-y-Gómez:
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media. CoRR abs/2103.01334 (2021) - [i14]Santiago Toledo-Cortés, Diego H. Useche, Fabio A. González:
Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression. CoRR abs/2103.03188 (2021) - [i13]Diego H. Useche, Andres Giraldo-Carvajal, Hernan M. Zuluaga-Bucheli, Jose A. Jaramillo-Villegas, Fabio A. González:
Quantum Measurement Classification with Qudits. CoRR abs/2107.09781 (2021) - [i12]Yigeng Zhang, Mahsa Shafaei, Fabio A. González, Thamar Solorio:
From None to Severe: Predicting Severity in Movie Scripts. CoRR abs/2109.09276 (2021) - [i11]Melissa delaPava, Hernán Rios, Francisco J. Rodríguez, Oscar J. Perdomo, Fabio A. González:
A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection. CoRR abs/2110.07745 (2021) - 2020
- [j43]Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio:
Early author profiling on Twitter using profile features with multi-resolution. Expert Syst. Appl. 140 (2020) - [j42]Andrés Rosso-Mateus, Manuel Montes-y-Gómez, Paolo Rosso, Fabio A. González:
Deep fusion of multiple term-similarity measures for biomedical passage retrieval. J. Intell. Fuzzy Syst. 39(2): 2239-2248 (2020) - [j41]John Edison Arevalo Ovalle, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González:
Gated multimodal networks. Neural Comput. Appl. 32(14): 10209-10228 (2020) - [c108]Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez:
A Deep Metric Learning Method for Biomedical Passage Retrieval. COLING 2020: 6229-6239 - [c107]Andrés D. Pérez, Oscar J. Perdomo, Hernán Rios, Francisco J. Rodríguez, Fabio A. González:
A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement. OMIA@MICCAI 2020: 185-194 - [c106]Santiago Toledo-Cortés, Melissa De La Pava, Oscar J. Perdomo, Fabio A. González:
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. OMIA@MICCAI 2020: 206-215 - [c105]Juan S. Lara, Victor H. Contreras O., Sebastian Otálora, Henning Müller, Fabio A. González:
Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval. MICCAI (5) 2020: 572-581 - [i10]Fabio A. González, Vladimir Vargas-Calderón, Herbert Vinck-Posada:
Supervised Learning with Quantum Measurements. CoRR abs/2004.01227 (2020) - [i9]Juan S. Lara, Fabio A. González:
Dissimilarity Mixture Autoencoder for Deep Clustering. CoRR abs/2006.08177 (2020) - [i8]Santiago Toledo-Cortés, Melissa De La Pava, Oscar J. Perdomo, Fabio A. González:
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. CoRR abs/2007.14994 (2020)
2010 – 2019
- 2019
- [j40]Felipe Restrepo-Calle, Jhon J. Ramirez-Echeverry, Fabio A. González:
Continuous assessment in a computer programming course supported by a software tool. Comput. Appl. Eng. Educ. 27(1): 80-89 (2019) - [j39]Sergio Jiménez, Fabio A. González, Alexander F. Gelbukh, George Dueñas:
word2set: WordNet-Based Word Representation Rivaling Neural Word Embedding for Lexical Similarity and Sentiment Analysis. IEEE Comput. Intell. Mag. 14(2): 41-53 (2019) - [j38]Oscar J. Perdomo, Hernán Rios, Francisco J. Rodríguez, Juan Sebastian Otálora Montenegro, Fabrice Mériaudeau, Henning Müller, Fabio A. González:
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography. Comput. Methods Programs Biomed. 178: 181-189 (2019) - [j37]Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Fabio A. González:
Novel Distributional Visual-Feature Representations for image classification. Multim. Tools Appl. 78(9): 11313-11336 (2019) - [j36]Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González:
Exploiting label semantic relatedness for unsupervised image annotation with large free vocabularies. Multim. Tools Appl. 78(14): 19641-19662 (2019) - [j35]Jorge A. Vanegas, Hugo Jair Escalante, Fabio A. González:
Scalable multi-label annotation via semi-supervised kernel semantic embedding. Pattern Recognit. Lett. 123: 97-103 (2019) - [j34]Jorge A. Vanegas, Viviana Beltrán, Hugo Jair Escalante, Fabio A. González:
Transductive non-linear semantic embedding for multi-class classification. Pattern Recognit. Lett. 128: 370-377 (2019) - [c104]Mónica Pineda Vargas, Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez:
A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7B. PKDD/ECML Workshops (2) 2019: 595-606 - [c103]Suraj Maharjan, Deepthi Mave, Prasha Shrestha, Manuel Montes-y-Gómez, Fabio Augusto González Osorio, Thamar Solorio:
Jointly Learning Author and Annotated Character N-gram Embeddings: A Case Study in Literary Text. RANLP 2019: 684-692 - [i7]Fabio A. González, Juan C. Caicedo:
Quantum Latent Semantic Analysis. CoRR abs/1903.03082 (2019) - [i6]Gustavo Aguilar, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio:
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media. CoRR abs/1906.04129 (2019) - [i5]Jefferson A. Peña Torres, Raul Ernesto Gutierrez, Víctor A. Bucheli, Fabio Augusto González Osorio:
The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task. CoRR abs/1912.08290 (2019) - 2018
- [j33]Jhon J. Ramirez-Echeverry, Lina F. Rosales-Castro, Felipe Restrepo-Calle, Fabio A. González:
Self-Regulated Learning in a Computer Programming Course. Rev. Iberoam. de Tecnol. del Aprendiz. 13(2): 75-83 (2018) - [j32]Sergio Jiménez, Silviu-Petru Cucerzan, Fabio A. González, Alexander F. Gelbukh, George Dueñas:
BM25-CTF: Improving TF and IDF factors in BM25 by using collection term frequencies. J. Intell. Fuzzy Syst. 34(5): 2887-2899 (2018) - [j31]Subhadeep Patra, Peter Veelaert, Carlos T. Calafate, Juan-Carlos Cano, Willian Zamora, Pietro Manzoni, Fabio A. González:
A Forward Collision Warning System for Smartphones Using Image Processing and V2V Communication. Sensors 18(8): 2672 (2018) - [c102]Amirreza Shirani, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio, Mohammad Amin Alipour:
Evaluation of Type Inference with Textual Cues. AAAI Workshops 2018: 783-786 - [c101]Santiago Toledo-Cortés, Iván Yesid Castellanos Martínez, Fabio A. González:
Large Scale Learning Techniques for Least Squares Support Vector Machines. CIARP 2018: 3-11 - [c100]Sebastián Sierra, Fabio A. González:
Combining Textual and Visual Representations for Multimodal Author Profiling: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c99]Suraj Maharjan, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
A Genre-Aware Attention Model to Improve the Likability Prediction of Books. EMNLP 2018: 3381-3391 - [c98]Oscar J. Perdomo, Sebastian Otálora, Fabio A. González, Fabrice Mériaudeau, Henning Müller:
OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. ISBI 2018: 1423-1426 - [c97]Oscar J. Perdomo, Vincent Andrearczyk, Fabrice Mériaudeau, Henning Müller, Fabio A. González:
Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. COMPAY/OMIA@MICCAI 2018: 319-327 - [c96]Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books. NAACL-HLT (2) 2018: 259-265 - [c95]Adrián Pastor López-Monroy, Fabio A. González, Manuel Montes-y-Gómez, Hugo Jair Escalante, Thamar Solorio:
Early Text Classification Using Multi-Resolution Concept Representations. NAACL-HLT 2018: 1216-1225 - [c94]Gustavo Aguilar, Adrián Pastor López-Monroy, Fabio Augusto González Osorio, Thamar Solorio:
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media. NAACL-HLT 2018: 1401-1412 - [i4]Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books. CoRR abs/1805.09746 (2018) - 2017
- [j30]Claudia Jeanneth Becerra, Fabio Augusto González Osorio, Alexander F. Gelbukh:
LinearTag Models: Recommendations Using Linear User Profiles Based on Tags. Computación y Sistemas 21(1) (2017) - [j29]Diego Rueda-Plata, Raúl Ramos-Pollán, Fabio A. González:
Effective training of convolutional neural networks with small, specialized datasets. J. Intell. Fuzzy Syst. 32(2): 1333-1342 (2017) - [j28]Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González:
Local and global approaches for unsupervised image annotation. Multim. Tools Appl. 76(15): 16389-16414 (2017) - [c93]Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez, Mauricio Villegas, Fabio A. González:
A Flexible Framework for the Evaluation of Unsupervised Image Annotation. CIARP 2017: 508-516 - [c92]Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez:
A Two-Step Neural Network Approach to Passage Retrieval for Open Domain Question Answering. CIARP 2017: 566-574 - [c91]Jorge A. Vanegas, Hugo Jair Escalante, Fabio A. González:
Semi-supervised Online Kernel Semantic Embedding for Multi-label Annotation. CIARP 2017: 693-701 - [c90]Sebastián Sierra, Manuel Montes-y-Gómez, Thamar Solorio, Fabio A. González:
Convolutional Neural Networks for Author Profiling in PAN 2017. CLEF (Working Notes) 2017 - [c89]Prasha Shrestha, Sebastián Sierra, Fabio A. González, Manuel Montes-y-Gómez, Paolo Rosso, Thamar Solorio:
Convolutional Neural Networks for Authorship Attribution of Short Texts. EACL (2) 2017: 669-674 - [c88]Suraj Maharjan, John Edison Arevalo Ovalle, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
A Multi-task Approach to Predict Likability of Books. EACL (1) 2017: 1217-1227 - [c87]Alejandro Correa Bahnsen, Eduardo Contreras Bohorquez, Sergio Villegas, Javier Vargas, Fabio A. González:
Classifying phishing URLs using recurrent neural networks. eCrime 2017: 1-8 - [c86]Hugo Castellanos, Felipe Restrepo-Calle, Fabio A. González, Jhon Jairo Ramirez-Echeverry:
Understanding the relationships between self-regulated learning and students source code in a computer programming course. FIE 2017: 1-9 - [c85]John Edison Arevalo Ovalle, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González:
Gated Multimodal Units for Information Fusion. ICLR (Workshop) 2017 - [c84]Sebastian Otálora, Oscar J. Perdomo, Fabio A. González, Henning Müller:
Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images. CVII-STENT/LABELS@MICCAI 2017: 146-154 - [c83]Oscar J. Perdomo, John Edison Arevalo Ovalle, Fabio A. González:
Combining morphometric features and convolutional networks fusion for glaucoma diagnosis. SIPAIM 2017: 105721G - [i3]John Edison Arevalo Ovalle, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González:
Gated Multimodal Units for Information Fusion. CoRR abs/1702.01992 (2017) - 2016
- [j27]John Edison Arevalo Ovalle, Fabio A. González, Raúl Ramos-Pollán, José Luís Oliveira, Miguel Ángel Guevara-López:
Representation learning for mammography mass lesion classification with convolutional neural networks. Comput. Methods Programs Biomed. 127: 248-257 (2016) - [j26]Mary Lee Berdugo-Lattke, Fabio A. González, Orlando Rangel-Ch, Francisco Gómez:
P-type based dimensionality reduction for open contours of Colombian Páramo plant species. Ecol. Informatics 36: 1-7 (2016) - [j25]Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Angel Cruz-Roa, Fabio A. González:
Improving the BoVW via discriminative visual n-grams and MKL strategies. Neurocomputing 175: 768-781 (2016) - [j24]Jorge E. Camargo, Fabio A. González:
Multimodal latent topic analysis for image collection summarization. Inf. Sci. 328: 270-287 (2016) - [j23]Sergio Jiménez, Fabio A. González, Alexander F. Gelbukh:
Mathematical properties of soft cardinality: Enhancing Jaccard, Dice and cosine similarity measures with element-wise distance. Inf. Sci. 367-368: 373-389 (2016) - [c82]Luis Pellegrin, Jorge A. Vanegas, John Edison Arevalo Ovalle, Viviana Beltrán, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González:
A Two-Step Retrieval Method for Image Captioning. CLEF 2016: 150-161 - [c81]Francisco M. Rangel Pardo, Fabio A. González, Felipe Restrepo-Calle, Manuel Montes-y-Gómez, Paolo Rosso:
PAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde. FIRE (Working Notes) 2016: 1-15 - [c80]Francisco M. Rangel Pardo, Fabio A. González, Felipe Restrepo-Calle, Manuel Montes-y-Gómez, Paolo Rosso:
PAN@FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde. FIRE Workshop 2016: 1-19 - [c79]Lina F. Rosales-Castro, Laura A. Chaparro-Gutiérrez, Andrés Felipe Cruz-Salinas, Felipe Restrepo-Calle, Jorge E. Camargo, Fabio A. González:
An Interactive Tool to Support Student Assessment in Programming Assignments. IBERAMIA 2016: 404-414 - [c78]Susana Sanchez-Naranjo, Fabio A. González, Raúl Ramos-Pollán, Marc Solé:
Data driven Vertical Total Electron Content workflow for GNSS positioning for single frequency receivers. ICL-GNSS 2016: 1-6 - [c77]Oscar Hernán Paruma-Pabón, Fabio A. González, Jairo Aponte, Jorge E. Camargo, Felipe Restrepo-Calle:
Finding relationships between socio-technical aspects and personality traits by mining developer e-mails. CHASE@ICSE 2016: 8-14 - [c76]Ricardo Mendoza-Leon, Fabio A. González, Pablo Arbeláez, John Puentes, Marcela Hernández Hoyos:
Analysis of PHOW representations for Alzheimer disease classification on brain structural MRI. ISBI 2016: 24-27 - [i2]Oscar Hernán Paruma-Pabón, Fabio A. González, Jairo Aponte, Jorge E. Camargo, Felipe Restrepo-Calle:
Finding Relationships between Socio-Technical Aspects and Personality Traits by Mining Developer E-mails. CoRR abs/1603.00696 (2016) - 2015
- [j22]John Edison Arevalo Ovalle, Angel Cruz-Roa, Viviana Arias, Eduardo Romero, Fabio A. González:
An unsupervised feature learning framework for basal cell carcinoma image analysis. Artif. Intell. Medicine 64(2): 131-145 (2015) - [j21]Jorge A. Vanegas, Sérgio Matos, Fabio A. González, José Luís Oliveira:
An Overview of Biomolecular Event Extraction from Scientific Documents. Comput. Math. Methods Medicine 2015: 571381:1-571381:19 (2015) - [j20]Camilo Ernesto Lopez Guarin, Elizabeth León-Guzmán, Fabio A. González:
A Model to Predict Low Academic Performance at a Specific Enrollment Using Data Mining. Rev. Iberoam. de Tecnol. del Aprendiz. 10(3): 119-125 (2015) - [j19]Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim:
Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. 20(1): 237-248 (2015) - [j18]Sergio Jiménez, Fabio A. González, Alexander F. Gelbukh:
Soft Cardinality in Semantic Text Processing: Experience of the SemEval International Competitions. Polibits 51: 63-72 (2015) - [c75]Sebastián Sierra, Juan F. Molina, Angel Cruz-Roa, José Daniel Pabón, Raúl Ramos-Pollán, Fabio A. González, Hugo Franco:
Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a Machine Learning Method. CIARP 2015: 19-26 - [c74]Andrés Esteban Páez-Torres, Fabio A. González:
Online Kernel Matrix Factorization. CIARP 2015: 651-658 - [c73]Viviana Beltrán, Jorge A. Vanegas, Fabio A. González:
Semi-supervised Dimensionality Reduction via Multimodal Matrix Factorization. CIARP 2015: 676-682 - [c72]Fabián Páez, Fabio A. González:
Annotating and Retrieving Videos of Human Actions Using Matrix Factorization. CIARP 2015: 743-750 - [c71]Luis Pellegrin, Jorge A. Vanegas, John Edison Arevalo Ovalle, Viviana Beltrán, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González:
INAOE-UNAL at ImageCLEF 2015: Scalable Concept Image Annotation. CLEF (Working Notes) 2015 - [c70]John Edison Arevalo Ovalle, Fabio A. González, Raúl Ramos-Pollán, José Luís Oliveira, Miguel Ángel Guevara-López:
Convolutional neural networks for mammography mass lesion classification. EMBC 2015: 797-800 - [c69]Diego Rueda-Plata, Raúl Ramos-Pollán, Fabio A. González:
Supervised Greedy Layer-Wise Training for Deep Convolutional Networks with Small Datasets. ICCCI (1) 2015: 275-284 - [c68]Jorge A. Vanegas, Viviana Beltrán, Fabio A. González:
Two-way Multimodal Online Matrix Factorization for Multi-label Annotation. ICPRAM (1) 2015: 279-285 - [c67]Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge:
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) 2015: 581-588 - 2014
- [j17]Jorge A. Vanegas, Fabio A. González:
Image indexing using regularized online non-negative semantic embedding. Intell. Data Anal. 18(Supplement): S101-S114 (2014) - [j16]Juan C. Caicedo, Jorge A. Vanegas, Fabian Páez, Fabio A. González:
Histology image search using multimodal fusion. J. Biomed. Informatics 51: 114-128 (2014) - [j15]Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Fabio A. González:
Image Classification through Text Mining techniques: a Proposal. Res. Comput. Sci. 71: 63-72 (2014) - [j14]Andrea Rueda, Fabio A. González, Eduardo Romero:
Extracting Salient Brain Patterns for Imaging-Based Classification of Neurodegenerative Diseases. IEEE Trans. Medical Imaging 33(6): 1262-1274 (2014) - [c66]John Edison Arevalo Ovalle, Raúl Ramos-Pollán, Fabio A. González:
Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources. CARLA 2014: 43-53 - [c65]Fabian Páez, Jorge A. Vanegas, Fabio A. González:
Online multimodal matrix factorization for human action video indexing. CBMI 2014: 1-6 - [c64]Jorge A. Vanegas, John Edison Arevalo Ovalle, Fabio A. González:
Unsupervised feature learning for content-based histopathology image retrieval. CBMI 2014: 1-6 - [c63]Jorge A. Vanegas, John Edison Arevalo Ovalle, Juan Sebastian Otálora Montenegro, Fabian Páez, Santiago A. Pérez-Rubiano, Fabio A. González:
MindLab at ImageCLEF 2014: Scalable Concept Image Annotation. CLEF (Working Notes) 2014: 404-410 - [c62]Jorge E. Camargo, Fabio A. González:
Multimodal visualization based on latent topic analysis. ICME Workshops 2014: 1-6 - [c61]Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi:
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Digital Pathology 2014: 90410B - [c60]Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi:
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology 2014: 904103 - [c59]Alejandro Riveros, Maria De-Arteaga, Fabio A. González, Sergio Jiménez, Henning Müller:
MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7. SemEval@COLING 2014: 424-427 - [i1]Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim:
Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR abs/1411.5825 (2014) - 2013
- [j13]Jorge E. Camargo, Juan C. Caicedo, Fabio A. González:
A kernel-based framework for image collection exploration. J. Vis. Lang. Comput. 24(1): 53-67 (2013) - [c58]Juan Sebastian Otálora Montenegro, Santiago A. Pérez-Rubiano, Fabio A. González:
Online Matrix Factorization for Space Embedding Multilabel Annotation. CIARP (1) 2013: 343-350 - [c57]Jorge A. Vanegas, Fabio A. González:
Large Scale Image Indexing Using Online Non-negative Semantic Embedding. CIARP (1) 2013: 367-374 - [c56]Mathieu Dubois, Paola K. Rozo, Alexander Gepperth, Fabio A. González, David Filliat:
A comparison of geometric and energy-based point cloud semantic segmentation methods. ECMR 2013: 88-93 - [c55]Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, Fabio Augusto González Osorio:
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection. MICCAI (2) 2013: 403-410 - [c54]Angel Cruz-Roa, Eduardo Romero, Fabio A. González:
An adaptive image representation learned from data for cervix cancer tumor detection. Digital Pathology 2013: 86760Q - 2012
- [j12]Juan C. Caicedo, Jaafar Ben-Abdallah, Fabio A. González, Olfa Nasraoui:
Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization. Neurocomputing 76(1): 50-60 (2012) - [c53]Fabio A. González, José David Bermeo, Laura Ramos, Olfa Nasraoui:
On the Robustness of Kernel-Based Clustering. CIARP 2012: 122-129 - [c52]Juan C. Caicedo, Fabio A. González:
Online Matrix Factorization for Multimodal Image Retrieval. CIARP 2012: 340-347 - [c51]Andrea Rueda, John Edison Arevalo Ovalle, Angel Cruz-Roa, Eduardo Romero, Fabio A. González:
Bag of Features for Automatic Classification of Alzheimer's Disease in Magnetic Resonance Images. CIARP 2012: 559-566 - [c50]Jorge A. Vanegas, Juan C. Caicedo, Jorge E. Camargo, Raúl Ramos-Pollán, Fabio A. González:
Bioingenium at ImageCLEF 2012: Text and Visual Indexing for Medical Images. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c49]Raúl Ramos-Pollán, Fabio A. González, Juan C. Caicedo, Angel Cruz-Roa, Jorge E. Camargo, Jorge A. Vanegas, Santiago A. Perez, José David Bermeo, Juan Sebastian Otálora Montenegro, Paola K. Rozo, John Edison Arevalo Ovalle:
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources. eScience 2012: 1-8 - [c48]Carlos Esparza, Rafael Núñez, Fabio A. González:
Model Reference Adaptive Position Controller with Smith Predictor for a Shaking-Table in Two Axes. MICAI (2) 2012: 271-282 - [c47]Angel Cruz-Roa, Fabio A. González, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero:
A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides. MICCAI (1) 2012: 157-164 - [c46]Juan C. Caicedo, Fabio A. González:
Multimodal fusion for image retrieval using matrix factorization. ICMR 2012: 56 - 2011
- [j11]Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González:
Visual pattern mining in histology image collections using bag of features. Artif. Intell. Medicine 52(2): 91-106 (2011) - [j10]Juan C. Caicedo, Fabio A. González, Eduardo Romero:
Content-based histopathology image retrieval using a kernel-based semantic annotation framework. J. Biomed. Informatics 44(4): 519-528 (2011) - [c45]Fabio A. González, Juan C. Caicedo:
Quantum Latent Semantic Analysis. ICTIR 2011: 52-63 - [c44]Jorge A. Vanegas, Juan C. Caicedo, Fabio A. González, Eduardo Romero:
Histology Image Indexing Using a Non-negative Semantic Embedding. MCBR-CDS 2011: 80-91 - 2010
- [c43]Jorge E. Camargo, Juan C. Caicedo, Anyela M. Chavarro, Fabio A. González:
A kernel-based strategy for exploratory image collection search. CBMI 2010: 1-6 - [c42]Fabio A. González, Juan C. Caicedo, Olfa Nasraoui, Jaafar Ben-Abdallah:
NMF-based multimodal image indexing for querying by visual example. CIVR 2010: 366-373 - [c41]José G. Moreno, Juan C. Caicedo, Fabio A. González:
Bioingenium at ImageClefmed 2010: A Latent Semantic Approach. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c40]Jorge E. Camargo, Juan C. Caicedo, Fabio A. González:
Multimodal Image Collection Visualization Using Non-negative Matrix Factorization. ECDL 2010: 429-432 - [c39]Juan C. Caicedo, José G. Moreno, Edwin A. Niño, Fabio A. González:
Combining visual features and text data for medical image retrieval using latent semantic kernels. Multimedia Information Retrieval 2010: 359-366 - [c38]Sergio Jiménez, Fabio A. González, Alexander F. Gelbukh:
Text Comparison Using Soft Cardinality. SPIRE 2010: 297-302 - [c37]Jaafar Ben-Abdallah, Juan C. Caicedo, Fabio A. González, Olfa Nasraoui:
Multimodal Image Annotation Using Non-negative Matrix Factorization. Web Intelligence 2010: 128-135
2000 – 2009
- 2009
- [j9]Gloria Díaz, Fabio A. González, Eduardo Romero:
A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images. J. Biomed. Informatics 42(2): 296-307 (2009) - [c36]Mario Linares Vásquez, Fabio Augusto González Osorio, Diego Fernando Hernández Losada:
Mining Candlesticks Patterns on Stock Series: A Fuzzy Logic Approach. ADMA 2009: 661-670 - [c35]Juan C. Caicedo, Angel Cruz-Roa, Fabio A. González:
Histopathology Image Classification Using Bag of Features and Kernel Functions. AIME 2009: 126-135 - [c34]Angel Cruz-Roa, Juan C. Caicedo, Fabio A. González:
Visual Pattern Analysis in Histopathology Images Using Bag of Features. CIARP 2009: 521-528 - [c33]Jorge E. Camargo, Fabio A. González:
A Multi-class Kernel Alignment Method for Image Collection Summarization. CIARP 2009: 545-552 - [c32]Sergio Jiménez, Claudia Jeanneth Becerra, Alexander F. Gelbukh, Fabio A. González:
Generalized Mongue-Elkan Method for Approximate Text String Comparison. CICLing 2009: 559-570 - 2008
- [j8]Sergio Jiménez, Fabio A. González:
Un Sistema de Extracción de Información Basado en Ontologías para Documentos en el Dominio de las Tecnologías de Información. Rev. Avances en Sistemas Informática 5(1): 47-50 (2008) - [j7]Juan Carlos Galeano, Fabio A. González:
Hacia un Modelo de Red Inmunológica Artificial Basado en Kernels. Rev. Avances en Sistemas Informática 5(1): 65-71 (2008) - [j6]Edwin A. Niño, Juan C. Caicedo, Fabio A. González:
Recuperación de Imágenes Médicas por Contenido usando Indexamiento Métrico. Rev. Avances en Sistemas Informática 5(1): 73-79 (2008) - [c31]Juan C. Caicedo, Fabio A. González, Eduardo Romero:
A Semantic Content-Based Retrieval Method for Histopathology Images. AIRS 2008: 51-60 - [c30]Claudia Jeanneth Becerra, Fabio Augusto González Osorio, Sergio Jiménez:
3-Functions Meta-Learner Algorithm: a Mixture of Experts Technique to Improve Regression Models. DMIN 2008: 130-136 - [c29]Sergio Jiménez, Claudia Jeanneth Becerra, Fabio Augusto González Osorio:
Knowledge-based Information Extraction Using Fuzzy String Searching and Word Sense Disambiguation for IT Product Data-sheets. IKE 2008: 610-616 - [c28]Juan Carlos Galeano-Huertas, Fabio A. González:
INDIE: An Artificial Immune Network for On-Line Density Estimation. MICAI 2008: 254-265 - 2007
- [j5]Víctor A. Bucheli G., Fabio A. González:
Herramienta informática para vigilancia tecnológica -VIGTECH-. Rev. Avances en Sistemas Informática 4(1): 117-126 (2007) - [c27]Gloria Díaz, Fabio A. González, Eduardo Romero:
Automatic Clump Splitting for Cell Quantification in Microscopical Images. CIARP 2007: 763-772 - [c26]Gloria Díaz, Fabio A. González, Eduardo Romero:
Infected Cell Identification in Thin Blood Images Based on Color Pixel Classification: Comparison and Analysis. CIARP 2007: 812-821 - [c25]Juan C. Caicedo, Fabio A. González, Eduardo Romero:
Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification. CLEF 2007: 615-622 - [c24]Oscar M. Alonso, Fabio A. González, Fernando Niño, Juan Carlos Galeano:
A Solution Concept for Artificial Immune Networks: A Coevolutionary Perspective. ICARIS 2007: 35-46 - [c23]Juan C. Caicedo, Fabio A. González, Edwin Triana, Eduardo Romero:
Design of a Medical Image Database with Content-Based Retrieval Capabilities. PSIVT 2007: 919-931 - [c22]Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio A. González:
Performance of Recommendation Systems in Dynamic Streaming Environments. SDM 2007: 569-574 - 2006
- [j4]Fabio A. González, Juan Carlos Galeano, Diego Alexander Rojas, Angélica Veloza-Suan:
A neuro-immune model for discriminating and visualizing anomalies. Nat. Comput. 5(3): 285-304 (2006) - [c21]Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio A. González:
Collaborative filtering in dynamic usage environments. CIKM 2006: 794-795 - [c20]Gabriel Mañana, Eduardo Romero, Fabio A. González:
A Grid Computing Approach to Subtraction Radiography. ICIP 2006: 3325-3328 - 2005
- [j3]Dipankar Dasgupta, Fabio A. González, K. Yallapu, Jonatan Gómez, R. Yarramsettii:
CIDS: An agent-based intrusion detection system. Comput. Secur. 24(5): 387-398 (2005) - [c19]Juan Carlos Galeano, Fabio A. González, Diego Alexander Rojas, Angélica Veloza-Suan:
Algoritmo Bio-Inspirado para la Detección y Visualización de Anomalías. CIIC 2005: 162-169 - [c18]Juan Carlos Galeano, Angélica Veloza-Suan, Fabio A. González:
Redes Inmunológicas Artificiales: Una Introducción. CIIC 2005: 170-177 - [c17]Gabriel Mañana, Fabio A. González, Eduardo Romero:
Distributed genetic algorithm for subtraction radiography. GECCO Workshops 2005: 140-146 - [c16]Fabio A. González, Juan Carlos Galeano, Diego Alexander Rojas, Angélica Veloza-Suan:
Discriminating and visualizing anomalies using negative selection and self-organizing maps. GECCO 2005: 297-304 - [c15]Juan Carlos Galeano, Angélica Veloza-Suan, Fabio A. González:
A comparative analysis of artificial immune network models. GECCO 2005: 361-368 - [c14]Jairo Andrés Mojica, Diego Alexander Rojas, Jonatan Gómez, Fabio A. González:
Page Clustering Using a Distance-Based Algorithm. LA-WEB 2005: 223-229 - 2003
- [j2]Fabio A. González, Dipankar Dasgupta:
Anomaly Detection Using Real-Valued Negative Selection. Genet. Program. Evolvable Mach. 4(4): 383-403 (2003) - [c13]Dipankar Dasgupta, Zhou Ji, Fabio A. González:
Artificial immune system (AIS) research in the last five years. IEEE Congress on Evolutionary Computation 2003: 123-130 - [c12]Jonatan Gómez, Fabio A. González, Dipankar Dasgupta:
An immuno-fuzzy approach to anomaly detection. FUZZ-IEEE 2003: 1219-1224 - [c11]Fabio A. González, Dipankar Dasgupta, Jonatan Gómez:
The Effect of Binary Matching Rules in Negative Selection. GECCO 2003: 195-206 - [c10]Olfa Nasraoui, Fabio A. González, Cesar Cardona, Carlos Rojas, Dipankar Dasgupta:
A Scalable Artificial Immune System Model for Dynamic Unsupervised Learning. GECCO 2003: 219-230 - [c9]Jonatan Gómez, Dipankar Dasgupta, Fabio A. González:
Using Adaptive Operators in Genetic Search. GECCO 2003: 1580-1581 - [c8]Fabio A. González, Jonatan Gómez, Madhavi Kaniganti, Dipankar Dasgupta:
An Evolutionary Approach to Generate Fuzzy Anomaly Signatures. IAW 2003: 251-259 - [c7]Fabio A. González, Dipankar Dasgupta, Luis Fernando Niño:
A Randomized Real-Valued Negative Selection Algorithm. ICARIS 2003: 261-272 - [c6]Olfa Nasraoui, Cesar Cardona Uribe, Carlos Rojas Coronel, Fabio A. González:
TECNO-STREAMS: Tracking Evolving Clusters in Noisy Data Streams with a Scalable Immune System Learning Model. ICDM 2003: 235-242 - 2002
- [j1]Fabio A. González, Dipankar Dasgupta:
An immunity-based technique to characterize intrusions in computer networks. IEEE Trans. Evol. Comput. 6(3): 281-291 (2002) - [c5]Fabio A. González, Nivedita Sumi Majumdar, Kim-Ip Lin, Dipankar Dasgupta:
Tool to Generate a Local Internet Weather Report. CATA 2002: 507-510 - [c4]Fabio A. González, Dipankar Dasgupta, Robert Kozma:
Combining negative selection and classification techniques for anomaly detection. IEEE Congress on Evolutionary Computation 2002: 705-710 - [c3]Olfa Nasraoui, Dipankar Dasgupta, Fabio A. González:
An Novel Artificial Immune System Approach to Robust Data Mining. GECCO Late Breaking Papers 2002: 356-363 - [c2]Fabio A. González, Dipankar Dasgupta:
An Imunogenetic Technique To Detect Anomalies In Network Traffic. GECCO 2002: 1081-1088 - 2001
- [c1]Dipankar Dasgupta, Fabio A. González:
An Intelligent Decision Support System for Intrusion Detection and Response. MMM-ACNS 2001: 1-14
Coauthor Index
Angel Cruz-Roa
aka: Angel Alfonso Cruz-Roa
aka: Angel Alfonso Cruz-Roa
Joseph Gallego-Mejia
aka: Joseph A. Gallego-Mejia
aka: Joseph A. Gallego-Mejia
Juan Sebastian Otálora Montenegro
aka: Sebastian Otálora
aka: Sebastian Otálora
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