This research evaluates the application of Echo State Networks (ESN) for predicting Parkinson’s disease using voice features. The study aims to develop a diagnostic model that ensures high accuracy and…
Continue readingThis research uses a Convolutional Neural Network (CNN) to predict bail judgements in India’s legal system, with a focus on Hindi legal documents. The study identifies a lack of machine…
Continue readingThis study by Likun Qin and Tianshuo Qiu provides an in-depth analysis of Local Differential Privacy (LDP) and its applications in machine learning. LDP alters user data locally before it’s…
Continue readingThis work explores the relationship between Spotify users’ attributes and their public playlists, focusing on identifying recurring musical characteristics associated with users’ individual attributes like demographics, habits, or personality traits….
Continue readingThe study proposes the use of machine learning techniques and Inertial Measurement Units (IMUs) to monitor and evaluate the execution of prescribed physical therapy exercises at home, particularly for the…
Continue readingThe article introduces a new framework for feature selection in machine learning models. The approach uses a feature masking method, allowing the same model to be used during feature selection,…
Continue readingThe article presents a comprehensive benchmarking of different selective classification frameworks that are based on deep neural networks. Selective classification allows a model to abstain from making a prediction when…
Continue readingThe paper proposes a new method for algorithm-selection using short probing trajectories. This approach is applied by running a solver on an instance for a brief period. The method provides…
Continue readingThis article explores the problem of dataset selection for training large-scale models. The authors argue that traditional methods, which filter data based on human notions of quality, often do not…
Continue readingThis study introduces a machine learning algorithm that predicts whether patients with Atrial fibrillation (AF) should be recommended anticoagulant therapy using 12-lead ECG data. The model uses STOME to enhance…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
