| Deep Latent Generative Models For Energy Disaggregation G Bejarano, D DeFazio, A Ramesh Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019 | 38 | 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 | 16 | 2018 |
| Isolated Sign Language Recognition based on Tree Structure Skeleton Images D Laines, M Gonzalez-Mendoza, G Ochoa-Ruiz, G Bejarano Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| 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 | 12 | 2019 |
| 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 | 9 | 2022 |
| 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 | 9* | 2011 |
| 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 | 7 | 2022 |
| 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 | 3* | 2023 |
| 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 | 3 | 2022 |
| DeepER: A Deep Learning based Emergency Resolution Time Prediction System G Bejarano, A Kulkarni, X Luo, A Seetharam, A Ramesh CPSCom, 2020 | 2 | 2020 |
| PhD Forum: Deep Learning and Probabilistic Models Applied to Sequential Data G Bejarano 2018 IEEE International Conference on Smart Computing (SMARTCOMP), 252-253, 2018 | 1 | 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 | 1 | 2015 |
| Lessons from Deploying the First Bilingual Peruvian Sign Language-Spanish Online Dictionary J Huamani-Malca, MR Mondoñedo, F Cerna-Herrera, G Bejarano, ... Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| Comparing Incremental Learning Approaches for a Growing Sign Language Dictionary J Huamani-Malca, G Bejarano Annual International Conference on Information Management and Big Data, 97-106, 2023 | | 2023 |
| Evaluating Robustness of Reconstruction Models with Adversarial Networks K Sooksatra, G Bejarano, P Rivas Procedia Computer Science 222, 353-366, 2023 | | 2023 |
| Less is More: Techniques to Reduce Overfitting in your Transformer Model for Sign Language Recognition J Huamani-malca, G Bejarano | | 2022 |
| Impact of Video Length Reduction due to Missing Landmarks on Sign Language Recognition Model C Vasquez, G Bejarano | | 2022 |
| Impact of Pose Estimation Models for Landmark-based Sign Language Recognition C Lazo-Quispe, J Huamani-Malca, PUC del Perú, MSH Huamán-Ramos, ... LatinxInAI Workshop at ECCV, 2022 | | 2022 |
| 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 |
Arti RameshSenior Manager, Nissan Advanced Technology Center在 nissan-usa.com 的电子邮件经过验证
