Hans Lobel

According to our database, Hans Lobel authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An automatic methodology to measure drivers' behavior in public transport.

Hernan F. Catalan, Hans Lobel, Juan Carlos Herrera

J. Intell. Transp. Syst., March, 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

Hyperbolic Optimizer as a Dynamical System.

Nicolás Alvarado, Hans Löbel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

News Gathering: Leveraging Transformers to Rank News.

Carlos Muñoz, María José Apolo, Maximiliano Ojeda, Hans Lobel, Marcelo Mendoza

Proceedings of the Advances in Information Retrieval, 2024

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

Proceedings of the L Latin American Computer Conference, 2024

2022

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

2021

Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning.

Julio Hurtado, Hans Lobel, Alvaro Soto

IEEE Access, 2021

Forecasting Copper Electrorefining Cathode Rejection by Means of Recurrent Neural Networks With Attention Mechanism.

Pedro Pablo Correa, Aldo Cipriano, Felipe Núñez, Juan Carlos Salas, Hans Lobel

IEEE Access, 2021

PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual Similarity.

Gregory Schuit, Vicente Castro, Pablo Pino, Denis Parra, Hans Lobel

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 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

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 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

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLU.

Vicente Castro, Pablo Pino, Denis Parra, Hans Lobel

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

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

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition.

Hans Lobel, René Vidal, Alvaro Soto

Comput. Vis. Image Underst., 2020

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

2019

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

2018

Classifying Drivers' Behavior in Public Transport using Inertial Measurement Units and Decision Trees.

Hernan F. Catalan, Hans Lobel, Juan Carlos Herrera

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2015

Learning Shared, Discriminative, and Compact Representations for Visual Recognition.

Hans Lobel, René Vidal, Alvaro Soto

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2013

Joint Dictionary and Classifier Learning for Categorization of Images Using a Max-margin Framework.

Hans Lobel, René Vidal, Domingo Mery, Alvaro Soto

Proceedings of the Image and Video Technology - 6th Pacific-Rim Symposium, 2013

Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition.

Hans Lobel, René Vidal, Alvaro Soto

Proceedings of the IEEE International Conference on Computer Vision, 2013