Últimas Publicaciones
Nostas J.,
Sandoval Alcocer J.P., Costa D.E., Bergel A. (2021) How Do Developers Use the Java Stream API?. In: Gervasi O. et al. (eds) Computational Science and Its Applications ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science, vol 12955. Springer, Cham. https://doi.org/10.1007/978-3-030-87007-2_23
(2021)
Computational Science and Its Applications ICCSA 2021 12955 12
Rodriguez, M. G. M. ,
Alarcon, L. F. , Dave, B. A. ,
Mourgues, C. & Koskela, L. 2021, ‘Understanding the Interaction Between Virtual Design, Construction and Lean Construction’ In:, Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 14-16 Jul 2021. pp 107-115
(2021)
Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 1 107-115
Hamzeh, F. , González, V. A. ,
Alarcon, L. F. & Khalife, S. 2021, ‘Lean Construction 4.0: Exploring the Challenges of Development in the AEC Industry’ In:, Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 14-16 Jul 2021. pp 207-216
(2021)
Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 1 207-216
Retamal, F. , Salazar, L. A. ,
Alarcón, L. F. & Arroyo, P. 2021, ‘Monitoring of Linguistic Action Perspective During Online Weekly Work Planning Meetings’ In:, Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 14-16 Jul 2021. pp 433-442
(2021)
Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 1 433-442
Lagos, C. I. & Alarcón, L. F. 2021, ‘Composition and Impact of Reasons for Noncompletion in Construction Projects’ In:, Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 14-16 Jul 2021. pp 817-826
(2021)
Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 1 817-826
Hilliger I., Miranda C., Schuit G., Pérez-Sanagustín M. (2021) Self-tracking Time-On-Task: Web-Based Weekly Timesheets for Higher Education Students. In: De Laet T., Klemke R., Alario-Hoyos C.,
Hilliger I., Ortega-Arranz A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science, vol 12884. Springer, Cham. https://doi.org/10.1007/978-3-030-86436-1_49
(2021)
Lecture Notes in Computer Science 12884
Mar Perez-Sanagustin, Ronald Pérez-Álvarez, Jorge Maldonado-Mahauad, Esteban Villalobos, Isabel Hilliger, Josefina Hernández, Diego Sapunar, Pedro Manuel Moreno-Marcos, Pedro J. Muñoz-Merino, Carlos Delgado Kloos, and Jon Imaz. 2021. Can Feedback based on Predictive Data Improve Learners’ Passing Rates in MOOCs? A Preliminary Analysis. In Proceedings of the Eighth ACM Conference on Learning @ Scale (L@S ’21). Association for Computing Machinery, New York, NY, USA, 339342. DOI:https://doi.org/10.1145/3430895.3460991
(2021)
ACM Conferences 339-342
Piña, M. A., & Hilliger, I., & Baier, J. A., & Melian, C., & Ruz, C., & González, T. A. (2021, July), A Protocol to Follow-up with Students in Large-enrollment Courses Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2–36603
(2021)
ASEE Peer
Hilliger, I., & Melian, C., & Meza, J. F., & Cortés, G., & Baier, J. A. (2021, July), Work in Progress: A Cross-sectional Survey Study for Understanding and Addressing the Needs of Engineering Students During COVID-19 Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/38115
(2021)
ASEE Peer
Hilliger, I., Fleet, C., Melian, C.,
Baier, J., & Pérez-Sanagustín, M. (2021). Offering an Entrepreneurship Course to All Engineering Students: Lessons Learned from ING2030 in Puc-Chile. Advances in Engineering Education.
(2021)
Advances in Engineering Education 9 3 1-16
Isabel Hilliger, Constanza Miranda, Gregory Schuit, Fernando Duarte, Martin Anselmo, Denis Parra. 2021. Evaluating a Learning Analytics Dashboard to Visualize Student Self-Reports of Time-on-task: A Case Study in a Latin American University. In LAK21: 11th International Learning Analytics and Knowledge Conference (LAK21). Association for Computing Machinery, New York, NY, USA, 592598. DOI:https://doi.org/10.1145/3448139.3448203
(2021)
ICPS Proceedings 592-598
Grandits, Thomas, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause. «Learning atrial fiber orientations conductivity tensors from intracardiac maps using physics-informed neural networks.» In International Conference on Functional Imaging and Modeling of the Heart, pp. 650-658. Springer, Cham, 2021.
(2021)
International Conference on Functional Imaging and Modeling of the Heart
Leiva, E., Sánchez, R., Serrano, J., Schneider, N., Alvial, C., Rodríguez, C. (2021). Reutilización de aguas grises en Chile: propuesta de implementación en comunidades rurales como alternativa de mitigación para la escasez hídrica. En: Centro de Políticas Públicas UC (ed), Propuestas para Chile. Concurso de Políticas Públicas 2020. Santiago: Pontificia Universidad Católica de Chile, pp. 173-209 (https://politicaspublicas.uc.cl/wp-content/uploads/2021/04/Cap_6.pdf)
(2021)
En: Centro de Políticas Públicas UC (ed), Propuestas para Chile (2021). Concurso de Políticas Públic 173-209
Arenas, M., Barceló, P., Bertossi, L., & Monet, M. (2021). The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits. Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6670-6678.
(2021)
CONFERENCIA A*: AAAI 2021 (35th AAAI Conference on Artificial Intelligence)
Marcelo Arenas, Claudio Gutiérrez Juan F. Sequeda. Querying in the Age of Graph Databases and Knowledge Graphs. In Proceedings of the SIGMOD International Conference on Management of Data (SIGMOD 2021), Virtual Event, Xi’an, Shaanxi, China, pages 2821–2828, 2021.
(2021)
CONFERENCIA A*: SIGMOD 2021 (SIGMOD International Conference on Management of Data)
Marcelo Arenas, Daniel Baez, Pablo Barcelo, Jorge Perez, and Bernardo Subercaseaux. Foundations of Symbolic Languages for Model Interpretability. In Proceedings of the 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual Event, 2021.
(2021)
CONFERENCIA A*: NeurIPS 2021 (Annual Conference on Neural Information Processing Systems)