Asma Saighi
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View article: Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability
Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability Open
This few-shot and explainable model performs well with minimal data and generates clinically interpretable visual outputs, supporting its potential for reliable colon cancer diagnosis.
View article: AI for colon cancer: A focus on classification, detection, and predictive modeling
AI for colon cancer: A focus on classification, detection, and predictive modeling Open
AI holds great promise in colon cancer diagnosis and treatment. Future work should focus on integrating AI tools into clinical workflows through explainable models and standardized validation.
View article: An Adaptive Approach to Multimedia Adaptation in Context-Aware Pervasive Systems
An Adaptive Approach to Multimedia Adaptation in Context-Aware Pervasive Systems Open
In pervasive systems, contextual constraints can hinder the smooth execution of multimedia documents. Several adaptation approaches have been proposed that operate as client-side, server-side, proxy-based or peer-to-peer applications. Most…
View article: A Real-Time Deep Learning Approach for Electrocardiogram-Based Cardiovascular Disease Prediction with Adaptive Drift Detection and Generative Feature Replay
A Real-Time Deep Learning Approach for Electrocardiogram-Based Cardiovascular Disease Prediction with Adaptive Drift Detection and Generative Feature Replay Open
View article: Internet of Things-Based Multi-Agent System for the Control of Smart Street Lighting
Internet of Things-Based Multi-Agent System for the Control of Smart Street Lighting Open
The Internet of Things refers to a network of interconnected devices, objects, and systems, that can interact with one another without human intervention. The adoption of IoT technology has expanded rapidly, significantly impacting various…
View article: On the use of historical data in context-aware multimedia documents adaptation processes
On the use of historical data in context-aware multimedia documents adaptation processes Open
Playing multimedia documents in ubiquitous systems may require content adaptation based on gathered context information and accumulated historical data. Several approaches have already been proposed, in which adaptation actions are perform…
View article: A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data
A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data Open
Social media occupies an important place in people’s daily lives where users share various contents and topics such as thoughts, experiences, events and feelings. The massive use of social media has led to the generation of huge volumes of…
View article: Qualité de service pour les adaptations multimédia dans un environnement mobile
Qualité de service pour les adaptations multimédia dans un environnement mobile Open
Nowadays, multimedia documents are omnipresent at any time from and to any devices. However, mobile devices heterogeneity and the various contexts of the user require their adaptation. In this context, the existing systems transform conten…