8 citations · 9 across the 4 of their papers we have counts for
4 papers
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
Hafiz Tayyab Rauf, Alex Bogatu, Norman W. Paton +1
Embeddings are now used to underpin a wide variety of data management tasks, including entity resolution, dataset search and semantic type detection. Such applications often involv…
TableDC: Deep Clustering for Tabular Data
Hafiz Tayyab Rauf, Andre Freitas, Norman W. Paton
Deep clustering (DC), a fusion of deep representation learning and clustering, has recently demonstrated positive results in data science, particularly text processing and computer…
Deep Clustering for Data Cleaning and Integration
Hafiz Tayyab Rauf, Andre Freitas, Norman W. Paton
Deep Learning (DL) techniques now constitute the state-of-the-art for important problems in areas such as text and image processing, and there have been impactful results that depl…
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem
Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf +4
Economic Load Dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy reso…