10. Incremental learning of convolutional neural networks in bioinformatics

Archive ouverte : Type de document indéfini

Mousser, Wafa | Ouadfel, Salima | Taleb-Ahmed, Abdelmalik

Edité par HAL CCSD ; Elsevier

International audience. In recent years, convolutional neural networks (CNNs) have been widely used in various computer visual recognition tasks and then extensively applied for medical images, particularly for computer-aided diagnosis. Despite this success, CNNs suffer from a catastrophic forgetting issue, making it difficult for them to learn new tasks without being retrained from scratch. In this chapter the authors briefly introduce the concept of incremental learning for deep CNNs and highlight the catastrophic forgetting challenge by discussing methods from the literature that are used to mitigate it, particularly in the field of bioinformatics. To the best of the authors’ knowledge only two algorithms have been proposed for this purpose.

Consulter en ligne

Suggestions

Du même auteur

IDT: an incremental deep tree framework for biological image classification | Mousser, Wafa

IDT: an incremental deep tree framework for biological image classification

Archive ouverte: Article de revue

Mousser, Wafa | 2022-12

International audience. Nowadays, breast and cervical cancers are respectively the first and fourth most common causes of cancer death in females. It is believed that, automated systems based on artificial intellige...

9. Incremental deep learning model for plant leaf diseases detection | Ouadfel, Salima

9. Incremental deep learning model for plant leaf diseases detection

Archive ouverte: Type de document indéfini

Ouadfel, Salima | 2022-09-30

International audience. In recent years, deep learning has revolutionized machine learning and has been used with great success in various engineering fields, such as transportation, agriculture, finance, and market...

Automatic pain estimation from facial expressions: a comparative analysis using off-the-shelf CNN architectures | El Morabit, Safaa

Automatic pain estimation from facial expressions: a comparative analysis u...

Archive ouverte: Article de revue

El Morabit, Safaa | 2021-08-11

International audience. Automatic pain recognition from facial expressions is a challenging problem that has attracted a significant attention from the research community. This article provides a comprehensive analy...

Du même sujet

IDT: an incremental deep tree framework for biological image classification | Mousser, Wafa

IDT: an incremental deep tree framework for biological image classification

Archive ouverte: Article de revue

Mousser, Wafa | 2022-12

International audience. Nowadays, breast and cervical cancers are respectively the first and fourth most common causes of cancer death in females. It is believed that, automated systems based on artificial intellige...

9. Incremental deep learning model for plant leaf diseases detection | Ouadfel, Salima

9. Incremental deep learning model for plant leaf diseases detection

Archive ouverte: Type de document indéfini

Ouadfel, Salima | 2022-09-30

International audience. In recent years, deep learning has revolutionized machine learning and has been used with great success in various engineering fields, such as transportation, agriculture, finance, and market...

EME-Net: A U-net-based Indoor EMF Exposure Map Reconstruction Method | Mallik, Mohammed

EME-Net: A U-net-based Indoor EMF Exposure Map Reconstruction Method

Archive ouverte: Communication dans un congrès

Mallik, Mohammed | 2022-03-27

International audience. In wireless communication systems, in order to respond to the perception of risks related to electromagnetic field exposure and allocate radio resources, the estimation of the received power ...

Deep learning based face beauty prediction via dynamic robust losses and ensemble regression | Bougourzi, F.

Deep learning based face beauty prediction via dynamic robust losses and en...

Archive ouverte: Article de revue

Bougourzi, F. | 2022-04

International audience. In the last decade, several studies have shown that facial attractiveness can be learned by machines. In this paper, we address Facial Beauty Prediction from static images. The paper contains...

Knowledge-based tensor subspace analysis system for kinship verification | Serraoui, I.

Knowledge-based tensor subspace analysis system for kinship verification

Archive ouverte: Article de revue

Serraoui, I. | 2022-07

International audience. Most existing automatic kinship verification methods focus on learning the optimal distance metrics between family members. However, learning facial features and kinship features simultaneous...

HCiT: Deepfake Video Detection Using a Hybrid Model of CNN features and Vision Transformer | Kaddar, Bachir

HCiT: Deepfake Video Detection Using a Hybrid Model of CNN features and Vis...

Archive ouverte: Communication dans un congrès

Kaddar, Bachir | 2021-12-05

International audience. The number of new falsified video contents is dramatically increasing, making the need to develop effective deepfake detection methods more urgent than ever. Even though many existing deepfak...

Chargement des enrichissements...