Natural language processing: state of the art, current trends and challenges
Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …
analyzing human language computationally. It has spread its applications in various fields …
Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art
Malware has been one of the most damaging threats to computers that span across multiple
operating systems and various file formats. To defend against ever-increasing and ever …
operating systems and various file formats. To defend against ever-increasing and ever …
[HTML][HTML] ChatGPT: Jack of all trades, master of none
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and
revolutionized the approach in artificial intelligence to human-model interaction. The first …
revolutionized the approach in artificial intelligence to human-model interaction. The first …
Deep sentiment classification and topic discovery on novel coronavirus or COVID-19 online discussions: NLP using LSTM recurrent neural network approach
Internet forums and public social media, such as online healthcare forums, provide a
convenient channel for users (people/patients) concerned about health issues to discuss …
convenient channel for users (people/patients) concerned about health issues to discuss …
Adversarial machine learning in wireless communications using RF data: A review
D Adesina, CC Hsieh, YE Sagduyu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …
complex tasks involved in wireless communications. Supported by recent advances in …
Evaluating the robustness of neural language models to input perturbations
High-performance neural language models have obtained state-of-the-art results on a wide
range of Natural Language Processing (NLP) tasks. However, results for common …
range of Natural Language Processing (NLP) tasks. However, results for common …
Creating a large language model of a philosopher
E Schwitzgebel, D Schwitzgebel… - Mind & Language, 2024 - Wiley Online Library
Can large language models produce expert‐quality philosophical texts? To investigate this,
we fine‐tuned GPT‐3 with the works of philosopher Daniel Dennett. To evaluate the model …
we fine‐tuned GPT‐3 with the works of philosopher Daniel Dennett. To evaluate the model …
Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network
Speech signal processing is an active area of research, the most dominant source of
exchanging information among human beings, and the best way for human–computer …
exchanging information among human beings, and the best way for human–computer …
An intrusion detection system against DDoS attacks in IoT networks
In this paper, we present an Intrusion Detection System (IDS) using the hybridization of the
deep learning technique and the multi-objective optimization method for the detection of …
deep learning technique and the multi-objective optimization method for the detection of …
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …
humans, and understand their feelings and emotions. With the advent of the Internet, people …