Robuta

Abstract page for arXiv paper 2506.09556v2: MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic...

05/28/21 - In this paper, we present a novel Image Fusion Model (IFM) for ECG heart-beat classification to overcome the weaknesses of existin...

Multimodal fusion has emerged as a promising paradigm for disease diagnosis and prognosis, integrating complementary information from heterogeneous data...

Jul 9, 2025 - Introduction: From System Architecture to Algorithmic Execution In my previous article, I explored the architectural foundations of the VisionScout multimodal...

In autonomous driving, transparency in the decision-making of perception models is critical, as even a single misperception can be catastrophic. Yet with...

Collecting multiple modalities of neuroimaging data on the same subject is increasingly becoming the norm in clinical practice and research. Fusing multiple...

The direction of arrival (DOA) and number of sound sources is usually estimated by short-time Fourier transform and the conjugate cross-spectrum. However, the...

In image-based medical decision-making, different modalities of medical images of a given organ of a patient are captured. Each of these images will represent...

Multimodal fusion integrates the complementary information present in multiple modalities and has gained much attention recently. Existing fusion approaches...