Browsing by Author "Peralta, Daniel"

A study on the calibration of fingerprint classifiers

Badminton stroke classification based on accelerometer data: from individual to generalized models

Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification

Goats on the Move: Evaluating Machine Learning Models for Goat Activity Analysis Using Accelerometer Data

Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function

Monitoring Welfare of Individual Broiler Chickens Using Ultra-Wideband and Inertial Measurement Unit Wearables

MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning

Multiclass heartbeat classification using ECG signals and convolutional neural networks

Optimised one-class classification performance

Polar Encoding: A Simple Baseline Approach for Classification With Missing Values

SCIP: A scalable, reproducible, and open-source pipeline for morphological profiling image cytometry and microscopy data

Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions

Strategy analysis of badminton players using deep learning from IMU and UWB wearables

Time-Series-Based Feature Selection and Clustering for Equine Activity Recognition Using Accelerometers