Karthick Seshadri

According to our database, Karthick Seshadri authored at least 16 papers between 2010 and 2024.

Collaborative distances:

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

2024

Design and Evaluation of a Hierarchical Characterization and Adaptive Prediction Model for Cloud Workloads.

Karthick Seshadri, Korrapati Sindhu, S. Nagesh Bhattu, Chidambaram Kollengode

IEEE Trans. Cloud Comput., 2024

Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process.

V. R. P. S. Sastry Yadavilli, Karthick Seshadri, S. Nagesh Bhattu

Inf. Process. Manag., 2024

2023

Sentiment Analysis of Code-Mixed Telugu-English Data Leveraging Syllable and Word Embeddings.

Upendar Rao Rayala, Karthick Seshadri, Nagesh Bhattu Sristy

ACM Trans. Asian Low Resour. Lang. Inf. Process., October, 2023

Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks.

Padmil Nayak, Karthick Seshadri

Proceedings of the Big Data and Artificial Intelligence - 11th International Conference, 2023

2022

Workload characterization and synthesis for cloud using generative stochastic processes.

Korrapati Sindhu, Karthick Seshadri, Chidambaram Kollengode

J. Supercomput., 2022

Fine-tuning the Robust Temporal Feature Magnitude Model for Enhancing the Accuracy of Anomaly Detection.

Charan Charupalli, Karthick Seshadri

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Anomaly Detection in ATM Vestibules Using Three-Stream Deep Learning Approach.

Mehant Kammakomati, Suryadevara Deepak Chowdary, Srikanth Naik Varthya, Karthick Seshadri

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021

A scalable parallel algorithm for building web directories.

Karthick Seshadri, Aswin Maruthappan, Mukunthapriya Sundar Raman

Concurr. Comput. Pract. Exp., 2021

Metric Learning for comparison of HMMs using Graph Neural Networks.

Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran

Proceedings of the Asian Conference on Machine Learning, 2021

2019

Deep Learning-based Framework for Smart Sustainable Cities: A Case-study in Protection from Air Pollution.

Nagarathna Ravi, Vimala Rani P, Rajesh Alias Harinarayan R, Mercy Shalinie Selvaraj, Karthick Seshadri, Pariventhan P

Int. J. Intell. Inf. Technol., 2019

Design and evaluation of a parallel document clustering algorithm based on hierarchical latent semantic analysis.

Karthick Seshadri, K. Viswanathan Iyer, Mercy Shalinie Selvaraj

Concurr. Comput. Pract. Exp., 2019

2018

A distributed parallel algorithm for inferring hierarchical groups from large-scale text corpuses.

Karthick Seshadri, Mercy Shalinie Selvaraj, Sidharth Manohar

Concurr. Comput. Pract. Exp., 2018

2015

Design and evaluation of a parallel algorithm for inferring topic hierarchies.

Karthick Seshadri, S. Mercy Shalinie, Chidambaram Kollengode

Inf. Process. Manag., 2015

Parallelization of a graph-cut based algorithm for hierarchical clustering of web documents.

Karthick Seshadri, S. Mercy Shalinie

Concurr. Comput. Pract. Exp., 2015

Parallel algorithms for merging topic trees and their application in meta search engines.

Karthick Seshadri, S. Mercy Shalinie

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

2010

Parallelization of a dynamic SVD clustering algorithm and its application in information retrieval.

Karthick Seshadri, K. Viswanathan Iyer

Softw. Pract. Exp., 2010