Innopolis University

A Multi-Scale Fractal Feature Extraction Method for CNN-Based Plant Disease Classification

Plant diseases, being a subject of interdisciplinary research, significantly reduce crop yield, quality, and economic returns, while the misidentification of pathogens often leads to ineffective treatments and may harm beneficial organisms and ecosystems. This work develops an ap...

Efficient Techniques for Low-Rank Tensor Approximation and Applications in Robust Object Detection

This paper introduces efficient randomized fixed-precision and single-pass algorithms for low-tubal-rank approximation of third-order tensors. The proposed fixed-precision algorithms are faster and more efficient than the existing algorithms for approximating the truncated tensor...

DASTNet-X: an explainable dual-attention based spatio-temporal network for arrhythmia classification

Deep learning (DL) models have demonstrated strong performance in electrocardiography (ECG) arrhythmia classification. However, the criteria and processes for selecting ECG samples for analysis are often unclear. This lack of transparency, together with the challenge of interpret...

Beyond majority voting: a new framework for evaluating AI diagnostic systems against expert consensus

The integration of artificial intelligence (AI) into medical diagnostic workflows requires robust and consistent evaluation methods to ensure reliability, clinical relevance, and the inherent variability in expert judgments. Traditional metrics like precision and recall often fai...