An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
This paper introduces a novel ensemble approach for question classification using state-of-
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …
Deep-GenMut: Automated genetic mutation classification in oncology: A deep learning comparative study
Early cancer detection and treatment depend on the discovery of specific genes that cause
cancer. The classification of genetic mutations was initially done manually. However, this …
cancer. The classification of genetic mutations was initially done manually. However, this …
[HTML][HTML] A Deep Parallel Hybrid Fusion Model for disaster tweet classification on Twitter data
DS Krishna, G Srinivas, PP Reddy - Decision Analytics Journal, 2024 - Elsevier
Disaster tweet classification has gained significant attention in natural language processing
(NLP) due to its potential to aid disaster response and emergency management. The goal of …
(NLP) due to its potential to aid disaster response and emergency management. The goal of …
[PDF][PDF] Multi-Class Classification of Genetic Mutation Using Machine Learning Models
Multi-Class Classification of Genetic Mutation Using Machine Learning Models Page 1
Computational Journal of Mathematical and Statistical Sciences 3(2), 280–315 DOI:10.21608/CJMSS.2024.267064.1040 …
Computational Journal of Mathematical and Statistical Sciences 3(2), 280–315 DOI:10.21608/CJMSS.2024.267064.1040 …
Comparative Analysis of LSTM and Ensemble LSTM Approaches for Gene Mutation Classification in Cancer
In this study, we present an in-depth comparison of five different deep learning approaches
for the classification of gene mutations based on a dataset provided by the Kaggle …
for the classification of gene mutations based on a dataset provided by the Kaggle …
FOE-NER: fish disease event extraction algorithm based on pseudo trigger words and event element data enhancement
Q Fu, S Zhang, Z Zhang, Z An, Z Li, Y Wang… - Aquaculture …, 2024 - Springer
In response to the challenges of accurately identifying event triggers and elements in long
texts related to aquaculture, existing models struggle to differentiate between elements and …
texts related to aquaculture, existing models struggle to differentiate between elements and …
DPHFM: A Deep Parallel Hybrid Fusion Model for Disaster Tweet Classification on Twitter Data
SK DASARI, S Gorla, PR PVGD - 2023 - researchsquare.com
In recent years, disaster tweet classification has garnered significant attention in natural
language processing (NLP) due to its potential to aid disaster response and emergency …
language processing (NLP) due to its potential to aid disaster response and emergency …