Hendri Murfi

Orcid: 0000-0003-2722-5763

According to our database1, Hendri Murfi authored at least 28 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
BERT-based combination of convolutional and recurrent neural network for indonesian sentiment analysis.
Appl. Soft Comput., January, 2024

Topic-level Sentiment Analysis for User Reviews in Gasoline Subsidy Application.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

Claim Severity Prediction of Workers' Compensation Using Tree and Neural Networks-Based Models.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

2023
BERT-Based Hybrid Deep Learning with Text Augmentation for Sentiment Analysis of Indonesian Hotel Reviews.
Proceedings of the 12th International Conference on Data Science, 2023

The Imbalance Data Handling of XGBoost in Insurance Fraud Detection.
Proceedings of the 12th International Conference on Data Science, 2023

2022
The performance of BERT as data representation of text clustering.
J. Big Data, 2022

Non-Invasive Classification of Blood Glucose Level for Early Detection Diabetes Based on Photoplethysmography Signal.
Inf., 2022

Deep autoencoder-based fuzzy c-means for topic detection.
Array, 2022

2021
A scalable eigenspace-based fuzzy c-means for topic detection.
Data Technol. Appl., 2021

Performance Analysis of Hybrid Architectures of Deep Learning for Indonesian Sentiment Analysis.
Proceedings of the Soft Computing in Data Science - 6th International Conference, 2021

2020
Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database.
Inf., 2020

Noninvasive Classification of Blood Pressure Based on Photoplethysmography Signals Using Bidirectional Long Short-Term Memory and Time-Frequency Analysis.
IEEE Access, 2020

A Comparative Study of Latent Semantics-based Anchor Word Selection Method for Separable Nonnegative Matrix Factorization.
Proceedings of the BDET 2020: 2nd International Conference on Big Data Engineering and Technology, 2020

2019
Topic features for machine learning-based sentiment analysis in Indonesian tweets.
Int. J. Intell. Comput. Cybern., 2019

Randomspace-Based Fuzzy C-Means for Topic Detection on Indonesia Online News.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2019

Monitoring Trending Topics of Real-World Events on Indonesian Tweets Using Fuzzy C-Means in Lower Dimensional Space.
Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

Analysis of Deep Neural Networks for Automobile Insurance Claim Prediction.
Proceedings of the Data Mining and Big Data - 4th International Conference, 2019

The Performance of One Dimensional Naïve Bayes Classifier for Feature Selection in Predicting Prospective Car Insurance Buyers.
Proceedings of the Data Mining and Big Data - 4th International Conference, 2019

Fuzzy C-Means in Lower Dimensional Space for Topics Detection on Indonesian Online News.
Proceedings of the Data Mining and Big Data - 4th International Conference, 2019

2018
Implementation and Analysis of Combined Machine Learning Method for Intrusion Detection System.
Int. J. Commun. Networks Inf. Secur., 2018

The Accuracy of Fuzzy C-Means in Lower-Dimensional Space for Topic Detection.
Proceedings of the Smart Computing and Communication - Third International Conference, 2018

Kernelized eigenspace based fuzzy C-means for sensing trending topics on Twitter.
Proceedings of the 2018 International Conference on Data Science and Information Technology, 2018

Analysis of convolution neural network for transfer learning of sentiment analysis in Indonesian tweets.
Proceedings of the 2018 International Conference on Data Science and Information Technology, 2018

2017
Accuracy of separable nonnegative matrix factorization for topic extraction.
Proceedings of the 3rd International Conference on Communication and Information Processing, 2017

The singular value decomposition-based anchor word selection method for separable nonnegative matrix factorization.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

2010
Machine learning for text indexing: concept extraction, keyword extraction and tag recommendation.
PhD thesis, 2010

2009
A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

2002
A two-level learning hierarchy for constructing incremental projection generalizing neural networks.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2002, 2002


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