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Home > Information Management and Big Data: 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1–3, 2021, Proceedings > CoffeeSE: Interpretable Transfer Learning Method for Estimating the Severity of Coffee Rust
Information Management and Big Data: 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1–3, 2021, Proceedings |
Juan Antonio Lossio-Ventura; Jorge Valverde-Rebaza; Eduardo Díaz; Denisse Muñante; Carlos Gavidia-Calderon; Alan Demétrius Baria Valejo; Hugo Alatrista-Salas
Springer International Publishing
Information Management and Big Data: 8th Annual International Conference, SIMBig 2021, Virtual Event, December 1–3, 2021, Proceedings
CoffeeSE: Interpretable Transfer Learning Method for Estimating the Severity of Coffee Rust
Authors

Filomen Incahuanaco-Quispe; Edward Hinojosa-Cardenas; Denis A. Pilares-Figueroa; Cesar A. Beltrán-Castañón

ARI Id

1665377910577_6169308

Access

Not Available Free

Pages

340-355

DOI

10.1007/978-3-031-04447-2_23

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-031-04447-2_23

Table of Contents of Book
Showing 1 to 20 of 34 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xix
Front Matter
1-1
Automatic Data Imputation in Time Series Processing Using Neural Networks for Industry and Medical Datasets
Juan Ignacio Porta; Martín Ariel Domínguez; Francisco Tamarit
3-16
Calibration of Traffic Simulations Using Simulated Annealing and GPS Navigation Records
Carlos Gamboa-Venegas; Steffan Gómez-Campos; Esteban Meneses
17-33
Predicting Daily Trends in the Lima Stock Exchange General Index Using Economic Indicators and Financial News Sentiments
Adrian Ulloa; Soledad Espezua; Julio Villavicencio; Oscar Miranda; Edwin Villanueva
34-49
Government Public Services Presence Index Based on Open Data
Miguel Nunez-del-Prado; Leibnitz Rojas-Bustamante
50-63
Clustering Analysis for Traffic Jam Detection for Intelligent Transportation System
Edwin Alvarez-Mamani; Harley Vera-Olivera; José L. Soncco-Álvarez
64-75
Front Matter
77-77
A Study of Dynamic Convolutional Neural Network Technique for SCOTUS Legal Opinions Data Classification
Eya Hammami; Rim Faiz; Sami Ben Slama
79-91
Hydra: Funding State Prediction for Kickstarter Technology Projects Using a Multimodal Deep Learning
Alonso Puente; Marks Calderón
92-107
Composite Recommendations with Heterogeneous Graphs
Naomi Rohrbaugh; Edgar Ceh-Varela
108-121
Energy Efficiency Using IOTA Tangle for Greenhouse Agriculture
Arturo Flores; Alessandro Morales; Gianfranco Campos; Jorge Gelso
122-138
Front Matter
139-139
Multiphase Model Based on K-means and Ant Colony Optimization to Solve the Capacitated Vehicle Routing Problem with Time Windows
Airton Huamán; Marco Huancahuari; Lenis Wong
141-157
Enterprise Architecture Based on TOGAF for the Adaptation of Educational Institutions to e-Learning Using the DLPCA Methodology and Google Classroom
Geraldine Puntillo; Alonso Salazar; Lenis Wong
158-173
Quality Model for Educational Mobile Apps Based on SQuaRE and AHP
Pablo Del Aguila; Dante Roque; Lenis Wong
174-186
Front Matter
187-187
Automatic Detection of Levels of Intimate Partner Violence Against Women with Natural Language Processing Using Machine Learning and Deep Learning Techniques
Tereza Yallico Arias; Junior Fabian
189-205
Deep Learning vs Compression-Based vs Traditional Machine Learning Classifiers to Detect Hadith Authenticity
Taghreed Tarmom; Eric Atwell; Mohammad Alsalka
206-222
Classical Machine Learning vs Deep Learning for Detecting Cyber-Violence in Social Media
Randa Zarnoufi; Mounia Abik
223-235
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 34 entries
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