Bhaskar Dhariyal

According to our database, Bhaskar Dhariyal authored at least 8 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Explainable Graph Ensemble Learning for Multivariate Time Series Anomaly Detection in Cloud Microservice Architectures.

Kevin O'Shea, Sen Yan, Ming Yu, Xianjuan Chen, Stefano Mauceri, Bhaskar Dhariyal, Lei Xu, Noel E. O'Connor, Mingming Liu

IEEE Trans. Cloud Comput., 2026

2025

Real or Not? A Practitioner's Perspective on Unsupervised Multivariate Time Series Anomaly Detection in Cloud Systems.

Bhaskar Dhariyal, Heitor Ganzeli, Krzysztof Maslak, Dinesh Wijekoon

Proceedings of the Machine Learning, Optimization, and Data Science, 2025

2023

Scalable classifier-agnostic channel selection for multivariate time series classification.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

Data Min. Knowl. Discov., March, 2023

Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Scalable Classifier-Agnostic Channel Selection for MTSC.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

CoRR, 2022

2021

Fast Channel Selection for Scalable Multivariate Time Series Classification.

Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

An Examination of the State-of-the-Art for Multivariate Time Series Classification.

Bhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2018

Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids.

Bhaskar Dhariyal, Vadlamani Ravi, Kumar Ravi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018