Yeong-Seok Seo

Orcid: 0000-0002-5319-7674

According to our database1, Yeong-Seok Seo authored at least 32 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Determining the best feature combination through text and probabilistic feature analysis for GPT-2-based mobile app review detection.
Appl. Intell., 2024

Artificial Intelligence in Finance: Coffee Commodity Trading Big Data for Informed Decision Making.
IEEE Access, 2024

Hybrid Convolutional Network Fusion: Enhanced Medical Image Classification with Dual-Pathway Learning from Raw and Enhanced Visual Features.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

Enhancing Classification of Parasite Microscopy Images Through Image Edge-Accentuating Preprocessing.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023
M2SA: a novel dataset for multi-level and multi-domain sentiment analysis.
J. Inf. Telecommun., October, 2023

Spam Image Detection Model based on Deep Learning for Improving Spam Filter.
J. Inf. Process. Syst., June, 2023

Ensemble of top3 prediction with image pixel interval method using deep learning.
Comput. Sci. Inf. Syst., 2023

Twitter Sentiment Analysis-Based Adjustment of Cryptocurrency Action Recommendation Model for Profit Maximization.
IEEE Access, 2023

ICNN-Ensemble: An Improved Convolutional Neural Network Ensemble Model for Medical Image Classification.
IEEE Access, 2023

Flexible Carbon Neutralization Strategy: Customized Dynamic Server Management for Energy Efficiency Optimization.
IEEE Access, 2023

MICL-UNet: Multi-Input Cross-Layer UNet Model for Classification of Diseases in Agriculture.
IEEE Access, 2023

Classifying Chicken-Made Food Images Using Enhanced MobilNetV2.
Proceedings of the Advances in Computational Collective Intelligence, 2023

Deep-Learning- and GCN-Based Aspect-Level Sentiment Analysis Methods on Balanced and Unbalanced Datasets.
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022
Systematic Review on Chatbot Techniques and Applications.
J. Inf. Process. Syst., 2022

Feature Analysis for Detecting Mobile Application Review Generated by AI-Based Language Model.
J. Inf. Process. Syst., 2022

GUI-based software modularization through module clustering in edge computing based IoT environments.
J. Ambient Intell. Humaniz. Comput., 2022

2021
Towards a Redundant Response Avoidance for Intelligent Chatbot.
J. Inf. Process. Syst., 2021

2020
Context-aware auction solution of cooperative fish market monitoring system for intelligent user.
Hum. centric Comput. Inf. Sci., 2020

Improving bug report triage performance using artificial intelligence based document generation model.
Hum. centric Comput. Inf. Sci., 2020

Assessment of False Identity by Variability in Operating Condition for Memristor Write Time-Based Device Fingerprints.
Proceedings of the Computational Collective Intelligence - 12th International Conference, 2020

2019
S-mote: SMART Home Framework for Common Household Appliances in IoT Network.
J. Inf. Process. Syst., 2019

Systematic Review of Bug Report Processing Techniques to Improve Software Management Performance.
J. Inf. Process. Syst., 2019

Correction of Bit-Aliasing in Memristor-Based Physically Unclonable Functions With Timing Variability.
IEEE Access, 2019

Understanding Edge Computing: Engineering Evolution With Artificial Intelligence.
IEEE Access, 2019

2018
A Study of an Automated Software Effort Measurement Method.
Proceedings of the Parallel and Distributed Computing, 2018

2017
Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors.
Int. J. Softw. Eng. Knowl. Eng., 2017

2013
AREION: Software effort estimation based on multiple regressions with adaptive recursive data partitioning.
Inf. Softw. Technol., 2013

A Comparative Analysis of Reliability Assessment Methods for Web-Based Software.
Int. J. Softw. Innov., 2013

On the value of outlier elimination on software effort estimation research.
Empir. Softw. Eng., 2013

2010
Filtering of Inconsistent Software Project Data for Analogy-Based Effort Estimation.
Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010

2009
Improving the Accuracy of Software Effort Estimation Based on Multiple Least Square Regression Models by Estimation Error-Based Data Partitioning.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009

2008
An empirical analysis of software effort estimation with outlier elimination.
Proceedings of the 4th International Workshop on Predictor Models in Software Engineering, 2008


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