151 citations · 247 across the 19 of their papers we have counts for
7 papers · 1 filter
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
Md Abul Bashar, Richi Nayak
Anomaly detection in time series data, to identify points that deviate from normal behaviour, is a common problem in various domains such as manufacturing, medical imaging, and cyb…
Unsupervised Visual Time-Series Representation Learning and Clustering
Gaurangi Anand, Richi Nayak
Time-series data is generated ubiquitously from Internet-of-Things (IoT) infrastructure, connected and wearable devices, remote sensing, autonomous driving research and, audio-vide…
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study
Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj +2
Due to the rapid developments in Intelligent Transportation System (ITS) and increasing trend in the number of vehicles on road, abundant of road traffic data is generated and avai…
Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering
Khanh Luong, Richi Nayak
Clustering on the data with multiple aspects, such as multi-view or multi-type relational data, has become popular in recent years due to their wide applicability. The approach usi…
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
Md Abul Bashar, Astin-Walmsley Kieren, Heath Kerina +1
Predicting a customer's propensity-to-pay at an early point in the revenue cycle can provide organisations many opportunities to improve the customer experience, reduce hardship an…
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent
Thirunavukarasu Balasubramaniam, Richi Nayak, Chau Yuen
With the advancements in computing technology and web-based applications, data is increasingly generated in multi-dimensional form. This data is usually sparse due to the presence…