Evaluating the performance of chatgpt for spam email detection
Email continues to be a pivotal and extensively utilized communication medium within
professional and commercial domains. Nonetheless, the prevalence of spam emails poses a …
professional and commercial domains. Nonetheless, the prevalence of spam emails poses a …
Flight web searches analytics through big data
The flight search is considered one of the biggest searches on the World Wide Web. This
study aims to establish an effective prediction model from a huge data set. This article offers …
study aims to establish an effective prediction model from a huge data set. This article offers …
Robust federated learning for ubiquitous computing through mitigation of edge-case backdoor attacks
Federated Learning (FL) allows several data owners to train a joint model without sharing
their training data. Such a paradigm is useful for better privacy in many ubiquitous …
their training data. Such a paradigm is useful for better privacy in many ubiquitous …
BEIKE NLP at semeval-2022 task 4: prompt-based paragraph classification for patronizing and condescending language detection
PCL detection task is aimed at identifying and categorizing language that is patronizing or
condescending towards vulnerable communities in the general media. Compared to other …
condescending towards vulnerable communities in the general media. Compared to other …
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails
G Papageorgiou, P Economou… - Journal of Applied …, 2024 - Taylor & Francis
Optimizing text preprocessing and text classification algorithms is an important, everyday
task in large organizations and companies and it usually involves a labor-intensive and time …
task in large organizations and companies and it usually involves a labor-intensive and time …
Stacking-based modelling for improved over-indebtedness predictions
In a world now starkly divided into pre-and post-COVID times, it's imperative to examine the
impact of this public health crisis on the banking functions-particularly over-indebtedness …
impact of this public health crisis on the banking functions-particularly over-indebtedness …
Performance analysis of machine learning algorithms on networks intrusion detection
Despite enormous efforts by researchers, Intrusion Detection System (IDS) still faces
challenges in improving detection accuracy while reducing false alarm rates and in …
challenges in improving detection accuracy while reducing false alarm rates and in …
Link prediction analysis based on Node2Vec embedding technique
SJ Devi, B Singh - International Journal of Computer …, 2023 - inderscienceonline.com
The paper focuses on analysing link prediction using the Node2Vec embedding technique,
which is based on the Random Walk algorithm. In addition to this, several machine learning …
which is based on the Random Walk algorithm. In addition to this, several machine learning …
Rule acquisition based on attribute partial order structure diagram
Y Ren, H Liang, J Song, C Zheng… - International Journal of …, 2022 - inderscienceonline.com
Attribute Partial Order Structure Diagram (APOSD), as an emergent model of concept
cognitive learning, has gathered lots of attention due to its good ability of visual knowledge …
cognitive learning, has gathered lots of attention due to its good ability of visual knowledge …
Prediction of COVID-19 epidemic curve of India using supervised learning approach
S Mongia, S Sharma, J Natarajan… - International …, 2021 - inderscienceonline.com
The recent outbreak of the COVID-19 pandemic, a neo zoonotic infectious disease, has
caused high mortality worldwide. The need of the hour is to equip the governments with …
caused high mortality worldwide. The need of the hour is to equip the governments with …