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ORCIDFabio A. González
Fabio Augusto González Osorio
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- affiliation: National University of Colombia, Bogotá, Colombia
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2020 – today
- 2022
[j43]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)- [i18]Vladimir Vargas-Calderón, Fabio A. González, Herbert Vinck-Posada:
Optimisation-free Classification and Density Estimation with Quantum Circuits. CoRR abs/2203.14452 (2022) - 2021
- [j42]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
- [j41]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) - [j40]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) - [j39]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
- [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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
- [j31]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) - [j30]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) - [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
- [j29]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) - [j28]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) - [j27]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
- [j26]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) - [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 Arbelaez, 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, F. 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. Medical Imaging: 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. Medical Imaging: 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, F. 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. Medical Imaging: 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