Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
The Aspen Times

Beyond the Algorithm: Flourishing across difference

Modern society has become infinitely connected whilst growing increasingly uncomfortable with actual human interaction. We speak constantly, broadcast endlessly, and yet many of the institutions that ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
IEEE

Data Quality Issues for Speech Emotion Recognition System Using Novel Logistic Regression Algorithm and Compare Accuracy with Random Forest Algorithm

Abstract: To compare the accuracy of the Random Forest algorithm with the Novel Logistic Regression Technique in order to predict the data quality issues for the voice emotion identification system.
TheServerSide

The difference between precision vs. recall in machine learning

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between recall and precision is that precision accounts for false positives, ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Frontiers

Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss

This study included 333 female patients with infertility and 319 female patients with pregnancy loss, as well as 327 healthy individuals for modeling; 1264 female patients with infertility and 1030 ...
The Royal Gazette

Why learning differences matter in our classrooms

Across Bermuda, there are bright, creative and capable children sitting in classrooms who feel lost, frustrated or “not good enough”. These students often have learning differences — such as dyslexia, ...