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Found 5 papers, 1 papers with code
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
This paper introduces a novel approach, evolutionary multi-objective optimisation for fairness-aware self-adjusting memory classifiers, designed to enhance fairness in machine learning algorithms applied to data stream classification.
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling
However, developing an LLM for problem formulation is challenging, due to training data, token limitations, and lack of appropriate performance metrics.
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Motivated by recent innovations in biologically-inspired neuromorphic hardware, this article presents a novel unsupervised machine learning algorithm named Hyperseed that draws on the principles of Vector Symbolic Architectures (VSA) for fast learning of a topology preserving feature map of unlabelled data.
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
In this paper, we propose a novel Pyramid Attention Network (PAN) based model for emotion detection in microblogs.
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics
Social media has gained an immense popularity over the last decade.
