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Supervised Learning Neural Networks
In this chapter, we describe the basic concepts, notation, and basic learning algorithms for supervised neural networks that will be of great use for...
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Face Recognition with Modular Neural Networks and Fuzzy Measures
We describe in this chapter a new approach for face recognition using modular neural networks with a fuzzy logic method for response integration. We...
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Intuitionistic and Type-2 Fuzzy Logic
We describe in this chapter two new areas in fuzzy logic, type-2 fuzzy logic systems and intuitionistic fuzzy logic. Basically, a type-2 fuzzy set is...
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MGA-Net: multiscale global feature aggregation network for arteriovenous classification
Subtle retinal vascular changes and abnormalities can serve as crucial biomarkers for numerous systemic diseases. The classification of retinal...
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Toward fair graph neural networks via real counterfactual samples
Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However,...
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UniTracker: transformer-based CrossUnihead for multi-object tracking
In recent years, tracking-by-detection (TBD) has emerged as the predominant approach for Multi-object Tracking (MOT). Most TBD algorithms typically...
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Hierarchical global and local transformer for pain estimation with facial expression videos
Automatic pain intensity estimation from facial expression analysis has important applications in medical and healthcare areas. Most of the existing...
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Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
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A resource-efficient partial 3D convolution for gesture recognition
3DCNNs have shown impressive capabilities in extracting spatiotemporal features from videos. However, in practical applications, the numerous...
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3D-Scene-Former: 3D scene generation from a single RGB image using Transformers
3D scene generation requires complex hardware setups, such as multiple cameras and depth sensors. To address this challenge, there is a need for...
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Table image dewar** with key element segmentation
Image dewar** is usually an essential step of document digitization, while the inherent semi-structured and sparse nature of tables makes table...
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ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network
Federated Learning (FL) has emerged as a transformative artificial intelligence paradigm, facilitating knowledge sharing among distributed edge...
