A conversation with ChatGPT about the impact of the COVID-19 pandemic on education: Comparative review based on human–AI collaboration
Background/purpose–ChatGPT, an AI-powered chatbot designed with generative pre-
trained transformer architecture, have intrigued millions of people from diverse backgrounds …
trained transformer architecture, have intrigued millions of people from diverse backgrounds …
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison
Abstract Machine learning and data mining-based approaches to prediction and detection of
heart disease would be of great clinical utility, but are highly challenging to develop. In most …
heart disease would be of great clinical utility, but are highly challenging to develop. In most …
The Matthews correlation coefficient (MCC) is more informative than Cohen's Kappa and Brier score in binary classification assessment
Even if measuring the outcome of binary classifications is a pivotal task in machine learning
and statistics, no consensus has been reached yet about which statistical rate to employ to …
and statistics, no consensus has been reached yet about which statistical rate to employ to …
A conversation with ChatGPT about digital leadership and technology integration: Comparative analysis based on human–AI collaboration
Artificial intelligence (AI) is one of the ground-breaking innovations of the 21st century that
has accelerated the digitalization of societies. ChatGPT is a newer form of AI-based large …
has accelerated the digitalization of societies. ChatGPT is a newer form of AI-based large …
A comprehensive study of deep learning compiler bugs
There are increasing uses of deep learning (DL) compilers to generate optimized code,
boosting the runtime performance of DL models on specific hardware. Like their traditional …
boosting the runtime performance of DL models on specific hardware. Like their traditional …
Effects of aerobic training on brain plasticity in patients with mild cognitive impairment: a systematic review of randomized controlled trials
The purpose of this study was to systematically review to find if aerobic exercise compared
to no exercise or any other intervention affects brain plasticity among people with mild …
to no exercise or any other intervention affects brain plasticity among people with mild …
Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients
SM Vieira, LF Mendonça, GJ Farinha… - Applied Soft Computing, 2013 - Elsevier
This paper proposes a modified binary particle swarm optimization (MBPSO) method for
feature selection with the simultaneous optimization of SVM kernel parameter setting …
feature selection with the simultaneous optimization of SVM kernel parameter setting …
Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage
Skin microangiopathy has been associated with diabetes. Here we show that skin-
microangiopathy phenotypes in humans can be correlated with diabetes stage via …
microangiopathy phenotypes in humans can be correlated with diabetes stage via …
Cyberbullying severity detection: A machine learning approach
With widespread usage of online social networks and its popularity, social networking
platforms have given us incalculable opportunities than ever before, and its benefits are …
platforms have given us incalculable opportunities than ever before, and its benefits are …
Cryptomining detection in container clouds using system calls and explainable machine learning
The use of containers in cloud computing has been steadily increasing. With the emergence
of Kubernetes, the management of applications inside containers (or pods) is simplified …
of Kubernetes, the management of applications inside containers (or pods) is simplified …