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Found 9 papers, 0 papers with code
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems
Furthermore, we outline a simple RAG-based architecture which, on average, outperforms the FN models by 16% in terms of the ROGUE score, 15% in the case of the BLEU score, and 53% based on the cosine similarity.
A multimodal deep learning architecture for smoking detection with a small data approach
Introduction: Covert tobacco advertisements often raise regulatory measures.
A Cloud-based Machine Learning Pipeline for the Efficient Extraction of Insights from Customer Reviews
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions.
A stochastic approach to handle knapsack problems in the creation of ensembles
The common point is to maximize accuracy; however, a natural limitation occurs if incremental costs are also assigned to the individual voters.
Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems
Ensemble-based approaches are very effective in various fields in raising the accuracy of its individual members, when some voting rule is applied for aggregating the individual decisions.
A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images
This procedure can increase the computational performance of a screening system.
An Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading
Reliable microaneurysm detection in digital fundus images is still an open issue in medical image processing.
An ensemble-based system for automatic screening of diabetic retinopathy
In this paper, an ensemble-based method for the screening of diabetic retinopathy (DR) is proposed.
An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation
In this paper, we propose an approach to the unsupervised segmentation of images using Markov Random Field.
