Towards Explaining Hypercomplex Neural Networks

1 code implementation • 26 Mar 2024 • Eleonora Lopez, Eleonora Grassucci, Debora Capriotti, Danilo Comminiello

To achieve this, we define a type of cosine-similarity transform within the parameterized hypercomplex domain.

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification

no code implementations • 11 Oct 2023 • Eleonora Lopez, Filippo Betello, Federico Carmignani, Eleonora Grassucci, Danilo Comminiello

In this step, a parameterized hypercomplex neural network (PHNN) is employed to perform breast cancer classification.

Breast Cancer Histology Image Classification Breast Tumour Classification +2

Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals

1 code implementation • 11 Oct 2023 • Eleonora Lopez, Eleonora Chiarantano, Eleonora Grassucci, Danilo Comminiello

Multimodal emotion recognition from physiological signals is receiving an increasing amount of attention due to the impossibility to control them at will unlike behavioral reactions, thus providing more reliable information.

EEG Multimodal Emotion Recognition

Multi-View Hypercomplex Learning for Breast Cancer Screening

1 code implementation • 12 Apr 2022 • Eleonora Lopez, Eleonora Grassucci, Martina Valleriani, Danilo Comminiello

To overcome such limitations, in this paper, we propose a methodological approach for multi-view breast cancer classification based on parameterized hypercomplex neural networks.

Breast Tumour Classification Cancer-no cancer per breast classification +3