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Hans Lobel
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2020 – today
- 2024
- [j9]Hernan F. Catalan, Hans Lobel
, Juan Carlos Herrera
An automatic methodology to measure drivers' behavior in public transport. J. Intell. Transp. Syst. 28(2): 237-251 (2024) - [j8]Axel Reyes, Marcelo Mendoza
SpatialCluster: A Python library for urban clustering. SoftwareX 26: 101739 (2024) - [c10]Roberto Merino, Pablo Jara, Billy Peralta, Orietta Nicolis, Hans Lobel
Self-Supervised Learning Applied to Variable Star Semi-Supervised Classification Using LSTM and GRU Networks. CLEI 2024: 1-8 - [c9]Carlos Muñoz
News Gathering: Leveraging Transformers to Rank News. ECIR (3) 2024: 486-493 - [c8]Nicolás Alvarado, Hans Löbel:
Hyperbolic Optimizer as a Dynamical System. ICML 2024 - 2022
- [j7]Camila Vera, Francesca Lucchini, Naim Bro
Learning to cluster urban areas: two competitive approaches and an empirical validation. EPJ Data Sci. 11(1): 62 (2022) - 2021
- [j6]Pedro Pablo Correa
Forecasting Copper Electrorefining Cathode Rejection by Means of Recurrent Neural Networks With Attention Mechanism. IEEE Access 9: 79080-79088 (2021) - [j5]Julio Hurtado
Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning. IEEE Access 9: 88279-88290 (2021) - [c7]Vicente Castro, Pablo Pino, Denis Parra, Hans Lobel:
PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLU. CLEF (Working Notes) 2021: 1174-1183 - [c6]José Miguel Quintana, Daniel Florea, Ria Deane, Denis Parra, Pablo Pino, Pablo Messina, Hans Löbel:
PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans. CLEF (Working Notes) 2021: 1336-1345 - [c5]Ricardo Schilling, Pablo Messina, Denis Parra, Hans Löbel:
PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN. CLEF (Working Notes) 2021: 1346-1351 - [c4]Gregory Schuit, Vicente Castro, Pablo Pino, Denis Parra, Hans Lobel:
PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual Similarity. CLEF (Working Notes) 2021: 1352-1358 - 2020
- [j4]Hans Lobel
CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. Comput. Vis. Image Underst. 191: 102841 (2020) - [j3]Andres Carvallo
Automatic document screening of medical literature using word and text embeddings in an active learning setting. Scientometrics 125(3): 3047-3084 (2020) - [i1]Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue:
Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks. CoRR abs/2002.07386 (2020)
2010 – 2019
- 2019
- [j2]Jose Tomas Mendez
Using Twitter to Infer User Satisfaction With Public Transport: The Case of Santiago, Chile. IEEE Access 7: 60255-60263 (2019) - 2018
- [c3]Hernan F. Catalan, Hans Lobel
Classifying Drivers' Behavior in Public Transport using Inertial Measurement Units and Decision Trees. ITSC 2018: 217-222 - 2015
- [j1]Hans Lobel
Learning Shared, Discriminative, and Compact Representations for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2218-2231 (2015) - 2013
- [c2]Hans Lobel
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition. ICCV 2013: 1697-1704 - [c1]Hans Lobel
Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework. PSIVT 2013: 87-98
Coauthor Index
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