HANS ALBERT LÖBEL DÍAZ | Ingeniería UC

Alvarado, N., Lobel, H. (2024). Hyperbolic Optimizer as a Dynamical System. In Proceedings of the 41st International Conference on Machine Learning (PMLR) 235:1243-1260, 2024. (2024)

Hyperbolic Optimizer as a Dynamical System

Proceedings of the 41st International Conference on Machine Learning (PMLR) 235 1243-1260

Muñoz, C., Apolo, M.J., Ojeda, M., Lobel, H., Mendoza, M. (2024). News Gathering: Leveraging Transformers to Rank News. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14610. Springer, Cham. https://doi.org/10.1007/978-3-031-56063-7_41 (2024)

News Gathering: Leveraging Transformers to Rank News

46th European Conference on Information Retrieval, ECIR 2024 LNCS 14610 486-493

(2024)

Self-Supervised Learning Applied to Variable Star Semi-Supervised Classification Using LSTM and GRU Networks

2024 Latin American Computer Conference (CLEI)

Carvallo A., Parra D., Lobel H., Rada G., Carvallo A. (2023)

A comparative dataset: Bridging COVID-19 and other diseases through epistemonikos and CORD-19 evidence

Data in Brief 51

Catalán H., Löbel H., Herrera J.C. (2022)

An automatic methodology to measure drivers behavior in public transport

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 10 1-15

Vera C., Lucchini F., Bro N., Mendoza M., Löbel H., Gutierrez F., Dimter J., Cuchacovic G., Reyes A., Valdivieso H., Alvarado N., Toro S. (2022)

Learning to cluster urban areas: two competitive approaches and an empirical validation

EPJ Data Science 11 62 1-22

Ramírez, T., Lobel, H., Hurtubia, R.: "Accounting for heterogeneity in the qualitative perception of public spaces: a Machine Learning and Discrete Choice Modelling approach", in International Conference on Transport Survey Methods (ISCTSC), Lisbon, Portugal, 2021. (2021)

Accounting for heterogeneity in the qualitative perception of public spaces: a Machine Learning and Discrete Choice Modelling approach

International Conference on Transport Survey Methods (ISCTSC)

Farid, Y., Kreidieh, A.R., Khalighi, F., Lobel, H, Bayen A.: "Continual Learning of Microscopic Traffic Models using Neural Networks", in TRB Annual Meeting, 2021. (2021)

Continual Learning of Microscopic Traffic Models using Neural Networks

TRB Annual Meeting 2021

Correa P., Cipriano A., Nuñez F., Salas J.C., Lobel H. (2021)

Forecasting copper electrorefining cathode rejection by means of recurrent neural networks with attention mechanism

IEEE Access

Ramirez T., Hurtubia R., Lobel H. Rossetti T. (2021)

Measuring heterogeneous perception of urban space with massive data and machine learning: An application to safety

Landscape and Urban Planning 208 104002

Hurtado J., Lobel H., Soto A. (2021)

Overcoming catastrophic forgetting using sparse coding and meta learning

IEEE Access

Vera, C., F., Lucchini, Gutierrez, F., Valdivieso, H., Lobel, H., Bro, N.Mendoza, M.: Parametric Sensitivity in Graph Neural Network for Urban Cluster Detection, a Case Study, in Proceedings of the Tenth International Conference on Complex Networks and their Applications, 2021. (2021)

Parametric Sensitivity in Graph Neural Network for Urban Cluster Detection, a Case Study

Proceedings of the Tenth International Conference on Complex Networks and their Applications

Carvallo A., Parra D., Lobel H., Soto. A. (2020)

Automatic document screening of medical literature using word and text embeddings in an active learning setting

Scientometrics

Löbel H., Vidal R., Soto A. (2020)

CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition

Computer Vision and Image Understanding

(2019)

Accounting for heterogeneity in the qualitative perception of public spaces: a Machine Learning and Discrete Choice Modelling approach

12th International Conference on Transport Survey Methods

Rossetti T., Lobel H., Rocco V. and Hurtubia R. (2019)

Explaining subjective perceptions of public spaces as a function of the built environment: A massive data approach

Landscape and Urban Planning 181 169-178

(2019)

Modelación De Percepciones Cualitativas De Espacios Públicos Con Modelos De Inteligencia Artificial Y Modelos De Elección Discreta

19° Congreso Chileno de Ingeniería de Transporte

J. T. MEndéz, H. Lobel, D. Parra and J. C. Herrera, "Using Twitter to Infer User Satisfaction with Public Transport: the case of Santiago, Chile, " in IEEE Access.doi: 10.1109/ACCESS.2019.2915107 (2019)

Using Twitter to Infer User Satisfaction with Public Transport: the case of Santiago, Chile

IEEE Access 7 60255-60263

(2018)

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

The 21st IEEE International Conference on Intelligent Transportation Systems

(2017)

Modelación de la percepción subjetiva del espacio público mediante técnicas de machine learning y modelos de elección discreta

Congreso Chileno de Ingeniería de Transporte

(2017)

Modeling subjective perceptions of public spaces and their effect on user behavior

International Conference on Travel Behavior Research