Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition. - Hans Lobel; René Vidal; Alvaro Soto (ICCV, 2013)

Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework. - Hans Lobel; René Vidal; Domingo Mery; Alvaro Soto (PSIVT, 2013)

Learning Shared, Discriminative, and Compact Representations for Visual Recognition. - Hans Lobel; René Vidal; Alvaro Soto (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Classifying Drivers' Behavior in Public Transport using Inertial Measurement Units and Decision Trees. - Hernan F. Catalan; Hans Lobel; Juan Carlos Herrera (ITSC, 2018)

Using Twitter to Infer User Satisfaction With Public Transport: The Case of Santiago, Chile. - Jose Tomas Mendez; Hans Lobel; Denis Parra; Juan Carlos Herrera (IEEE Access, 2019)

Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks. - Ashkan Yousefpour; Brian Q. Nguyen; Siddartha Devic; Guanhua Wang; Aboudy Kreidieh; Hans Lobel; Alexandre M. Bayen; Jason P. Jue (CoRR, 2020)

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition. - Hans Lobel; René Vidal; Alvaro Soto (Comput. Vis. Image Underst., 2020)

Automatic document screening of medical literature using word and text embeddings in an active learning setting. - Andres Carvallo; Denis Parra; Hans Lobel; Alvaro Soto (Scientometrics, 2020)

PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLU. - Vicente Castro; Pablo Pino; Denis Parra; Hans Lobel (CLEF (Working Notes), 2021)

PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans. - José Miguel Quintana; Daniel Florea; Ria Deane; Denis Parra; Pablo Pino; Pablo Messina; Hans Löbel (CLEF (Working Notes), 2021)

PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN. - Ricardo Schilling; Pablo Messina; Denis Parra; Hans Löbel (CLEF (Working Notes), 2021)

PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual Similarity. - Gregory Schuit; Vicente Castro; Pablo Pino; Denis Parra; Hans Lobel (CLEF (Working Notes), 2021)

Forecasting Copper Electrorefining Cathode Rejection by Means of Recurrent Neural Networks With Attention Mechanism. - Pedro Pablo Correa; Aldo Cipriano; Felipe Núñez 001; Juan Carlos Salas; Hans Lobel (IEEE Access, 2021)

Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning. - Julio Hurtado; Hans Lobel; Alvaro Soto (IEEE Access, 2021)

Learning to cluster urban areas: two competitive approaches and an empirical validation. - Camila Vera; Francesca Lucchini; Naim Bro; Marcelo Mendoza; Hans Löbel; Felipe Gutiérrez; Jan Dimter; Gabriel Cuchacovic; Axel Reyes; Hernan Valdivieso; Nicolás Alvarado; Sergio Toro (EPJ Data Sci., 2022)

Self-Supervised Learning Applied to Variable Star Semi-Supervised Classification Using LSTM and GRU Networks. - Roberto Merino; Pablo Jara; Billy Peralta; Orietta Nicolis; Hans Lobel; Luis Caro (CLEI, 2024)

News Gathering: Leveraging Transformers to Rank News. - Carlos Muñoz; María José Apolo; Maximiliano Ojeda; Hans Lobel; Marcelo Mendoza (ECIR (3), 2024)

Hyperbolic Optimizer as a Dynamical System. - Nicolás Alvarado; Hans Löbel (ICML, 2024)

SpatialCluster: A Python library for urban clustering. - Axel Reyes; Marcelo Mendoza; Camila Vera; Francesca Lucchini; Jan Dimter; Felipe Gutiérrez; Naim Bro; Hans Lobel; Ariel Reyes (SoftwareX, 2024)

An automatic methodology to measure drivers' behavior in public transport. - Hernan F. Catalan; Hans Lobel; Juan Carlos Herrera (J. Intell. Transp. Syst., 2024)

Imitating Human Reasoning to Extract 5W1H in News. - Carlos Muñoz; Marcelo Mendoza; Hans Lobel; Brian Keith (WWW (Companion Volume), 2025)

SPLASH-SegFormer Pipeline: A Transformer-Based Approach for High-Resolution and Low-Cost Laser Scanner Seafloor Mapping. - Javiera Fuentes-Guíñez; Giancarlo Troni; Hans Lobel (IEEE Robotics Autom. Lett., 2025)