| Deep Latent Generative Models For Energy Disaggregation G Bejarano, D DeFazio, A Ramesh Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 25 | 2019 |
| Predictive analytics for smart water management in developing regions G Bejarano, M Jain, A Ramesh, A Seetharam, A Mishra 2018 IEEE International Conference on Smart Computing (SMARTCOMP), 464-469, 2018 | 13 | 2018 |
| SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction G Bejarano, A Kulkarni, R Raushan, A Seetharam, A Ramesh Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019 | 9 | 2019 |
| Planificación de horarios del personal de cirugía de un hospital del Estado aplicando algoritmos genéticos (Time Tabling Problem) GM Bejarano Nicho Pontificia Universidad Católica del Perú, 2011 | 8* | 2011 |
| Generación Inteligente de Horarios Empleando Heurísticas GRASP con Búsqueda Tabú para la Pontificia Universidad Católica del Perú J Gallart Suárez, F Alva Manchego, A Alama Nole, G Bejarano Nicho Revista de Ingeniería Informática PUCP 1 (1), 15-23, 2010 | 7* | 2010 |
| Study of Question Answering on Legal Software Document using BERT based models EQ Caballero, MS Rahman, T Cerny, P Rivas, G Bejarano LatinX in Natural Language Processing Research Workshop, 2022 | 3 | 2022 |
| A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages T Das Jui, GM Bejarano, P Rivas Proceedings of the LREC2022 10th Workshop on the Representation and …, 2022 | 1 | 2022 |
| PeruSIL: A Framework to Build a Continuous Peruvian Sign Language Interpretation Dataset G Bejarano, J Huamani-Malca, F Cerna-Herrera, F Alva-Manchego, ... Proceedings of the LREC2022 10th Workshop on the Representation and …, 2022 | 1 | 2022 |
| DeepER: A Deep Learning based Emergency Resolution Time Prediction System G Bejarano, A Kulkarni, X Luo, A Seetharam, A Ramesh CPSCom, 2020 | 1 | 2020 |
| Isolated Sign Language Recognition based on Tree Structure Skeleton Images D Laines, G Bejarano, M Gonzalez-Mendoza, G Ochoa-Ruiz arXiv preprint arXiv:2304.05403, 2023 | | 2023 |
| Evaluating Robustness of Generative Models with Adversarial Networks K Sooksatra, G Bejarano, P Rivas | | 2023 |
| AI ethics for earth sciences P Rivas, C Thompson, B Tafur, B Khanal, O Ayoade, TD Jui, K Sooksatra, ... Artificial Intelligence in Earth Science, 379-396, 2023 | | 2023 |
| Distributed Text Representations Using Transformers for Noisy Written Language AR Perez, PR Perea, GB Nicho | | 2022 |
| Machine Learning Models for Designing Smart Cities and Communities GMB Nicho State University of New York at Binghamton, 2021 | | 2021 |
| Inteligencia artificial: desafíos y oportunidades para el Perú GM Bejarano Nicho, J Vilchez Astucuri, YA Ataucusi Ataucusi, ... Centro Nacional de Planeamiento Estratégico, 2021 | | 2021 |
| Understanding the Issues Surrounding COVID-19 Vaccine Roll Out via User Tweets J Esparza, G Bejarano, A Ramesh, A Seetharam Computational Data and Social Networks: 10th International Conference …, 2021 | | 2021 |
| PhD Forum: Deep Learning and Probabilistic Models Applied to Sequential Data G Bejarano 2018 IEEE International Conference on Smart Computing (SMARTCOMP), 252-253, 2018 | | 2018 |
| Automation of Process to Load Database from OSM for the Design of Public Routes. G Bejarano, J Astuvilca, P Vega SIMBig, 99-105, 2015 | | 2015 |
| Impact of Pose Estimation Models for Landmark-based Sign Language Recognition C Lazo-Quispe, J Huamani-Malca, PUC del Perú, MSH Huamán-Ramos, ... | | |
