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Gissella Bejarano
Gissella Bejarano
Zweryfikowany adres z marist.edu - Strona główna
Tytuł
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Cytowane przez
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Deep Latent Generative Models For Energy Disaggregation
G Bejarano, D DeFazio, A Ramesh
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
352019
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
152018
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
10*2011
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
92019
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
52022
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
52022
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
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
22023
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
22022
DeepER: A Deep Learning based Emergency Resolution Time Prediction System
G Bejarano, A Kulkarni, X Luo, A Seetharam, A Ramesh
CPSCom, 2020
12020
PhD Forum: Deep Learning and Probabilistic Models Applied to Sequential Data
G Bejarano
2018 IEEE International Conference on Smart Computing (SMARTCOMP), 252-253, 2018
12018
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
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
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
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