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ORCIDSIMBig 2021: Virtual Event
- Juan Antonio Lossio-Ventura
, Jorge Valverde-Rebaza, Eduardo Díaz, Denisse Muñante, Carlos Gavidia-Calderon, Alan Demétrius Baria Valejo, Hugo Alatrista-Salas:
Information Management and Big Data - 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1-3, 2021, Proceedings. Communications in Computer and Information Science 1577, Springer 2022, ISBN 978-3-031-04446-5
Data Mining and Applications
- Juan Ignacio Porta, Martín Ariel Domínguez, Francisco Tamarit:
Automatic Data Imputation in Time Series Processing Using Neural Networks for Industry and Medical Datasets. 3-16 - Carlos Gamboa-Venegas, Steffan Gómez-Campos, Esteban Meneses:
Calibration of Traffic Simulations Using Simulated Annealing and GPS Navigation Records. 17-33 - Adrian Ulloa, Soledad Espezua, Julio Villavicencio, Oscar Miranda, Edwin Villanueva:
Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments. 34-49 - Miguel Núñez-del-Prado, Leibnitz-Pavel Rojas-Bustamante:
Government Public Services Presence Index Based on Open Data. 50-63 - Edwin Alvarez-Mamani, Harley Vera Olivera, José Luis Soncco-Álvarez:
Clustering Analysis for Traffic Jam Detection for Intelligent Transportation System. 64-75
Deep Learning and Applications
- Eya Hammami, Rim Faiz, Sami Ben Slama:
A Study of Dynamic Convolutional Neural Network Technique for SCOTUS Legal Opinions Data Classification. 79-91 - Alonso Puente, Marks Calderón:
Hydra: Funding State Prediction for Kickstarter Technology Projects Using a Multimodal Deep Learning. 92-107 - Naomi Rohrbaugh, Edgar Eduardo Ceh-Varela:
Composite Recommendations with Heterogeneous Graphs. 108-121 - Arturo Flores, Alessandro Morales, Gianfranco Campos, Jorge Gelso:
Energy Efficiency Using IOTA Tangle for Greenhouse Agriculture. 122-138
Data-Driven Software Engineering
- Airton Huamán, Marco Huancahuari, Lenis Wong:
Multiphase Model Based on K-means and Ant Colony Optimization to Solve the Capacitated Vehicle Routing Problem with Time Windows. 141-157 - Geraldine Puntillo, Alonso Salazar, Lenis Wong:
Enterprise Architecture Based on TOGAF for the Adaptation of Educational Institutions to e-Learning Using the DLPCA Methodology and Google Classroom. 158-173 - Pablo Del Aguila, Dante Roque, Lenis Wong:
Quality Model for Educational Mobile Apps Based on SQuaRE and AHP. 174-186
Health, NLP, and Social Media
- Tereza Yallico Arias, Junior Fabian:
Automatic Detection of Levels of Intimate Partner Violence Against Women with Natural Language Processing Using Machine Learning and Deep Learning Techniques. 189-205 - Taghreed Tarmom, Eric Atwell, Mohammad Ammar Alsalka:
Deep Learning vs Compression-Based vs Traditional Machine Learning Classifiers to Detect Hadith Authenticity. 206-222 - Randa Zarnoufi, Mounia Abik:
Classical Machine Learning vs Deep Learning for Detecting Cyber-Violence in Social Media. 223-235 - Nuhu Ibrahim, Riza Batista-Navarro:
Automatic Detection of Deaths from Social Networking Sites. 236-252 - Camila Mantilla-Saavedra, Juan M. Gutiérrez Cárdenas:
Model Comparison for the Classification of Comments Containing Suicidal Traits from Reddit via NLP and Supervised Learning. 253-263 - Syed Mehtab Alam, Elena Arsevska, Mathieu Roche, Maguelonne Teisseire:
A Data-Driven Score Model to Assess Online News Articles in Event-Based Surveillance System. 264-280 - Tomonari Masada:
AmLDA: A Non-VAE Neural Topic Model. 281-295 - Asma Aldrees, Cherie Poland, Syeda Arzoo Irshad:
Auditing Algorithms: Determining Ethical Parameters of Algorithmic Decision-Making Systems in Healthcare. 296-309
Image Processing, Machine Learning, and Semantic Web
- Valeria Lucero, Sherald Noboa, Manuel Eugenio Morocho Cayamcela:
Plant Disease Classification and Severity Estimation: A Comparative Study of Multitask Convolutional Neural Networks and First Order Optimizers. 313-328 - Carla Rucoba-Calderón, Efrain Ramos, Juan Gutiérrez-Cárdenas:
Crack Detection in Oil Paintings Using Morphological Filters and K-SVD Algorithm. 329-339 - Filomen Incahuanaco-Quispe, Edward Hinojosa Cárdenas, Denis A. Pilares-Figueroa, César Armando Beltrán Castañón:
CoffeeSE: Interpretable Transfer Learning Method for Estimating the Severity of Coffee Rust. 340-355 - Joel Cabrera, Edwin Villanueva:
Investigating Generative Neural-Network Models for Building Pest Insect Detectors in Sticky Trap Images for the Peruvian Horticulture. 356-369 - David Gatta, Kilian Hinteregger, Anna Fensel:
Making Licensing of Content and Data Explicit with Semantics and Blockchain. 370-379 - Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. 380-396 - Carlos Mestanza, Miguel Chicchón, Pedro Gutiérrez, Lorenzo Hurtado, César Armando Beltrán Castañón:
Prediction of Soil Saturated Electrical Conductivity by Statistical Learning. 397-412
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