Saurabh Verma

According to our database, Saurabh Verma authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques.

Anusha Chhabra, Monika Arora, Arpit Sharma, Harsh Singh, Saurabh Verma, Rachna Jain, Biswaranjan Acharya, Vassilis C. Gerogiannis, Dimitrios Tzimos, Andreas Kanavos

Int. J. Artif. Intell. Tools, March, 2024

2023

Bernstein super fractal interpolation function for countable data systems.

Subhash Chandra, Syed Abbas, Saurabh Verma

Numer. Algorithms, April, 2023

Algorithm Selection for Deep Active Learning with Imbalanced Datasets.

Jifan Zhang, Shuai Shao, Saurabh Verma, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

17th International Workshop on Mining and Learning with Graphs (MLG).

Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Physics-Guided Deep Neural Networks for PowerFlow Analysis.

Xinyue Hu, Haoji Hu, Saurabh Verma, Zhi-Li Zhang

CoRR, 2020

TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook.

Nima Noorshams, Saurabh Verma, Aude Hofleitner

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Lumos5G: Mapping and Predicting Commercial mmWave 5G Throughput.

Arvind Narayanan, Eman Ramadan, Rishabh Mehta, Xinyue Hu, Qingxu Liu, Rostand A. K. Fezeu, Udhaya Kumar Dayalan, Saurabh Verma, Peiqi Ji, Tao Li, Feng Qian, Zhi-Li Zhang

Proceedings of the IMC '20: ACM Internet Measurement Conference, 2020

2019

Mining latent patterns in geoMobile data via EPIC.

Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang

World Wide Web, 2019

Deep Universal Graph Embedding Neural Network.

Saurabh Verma, Zhi-Li Zhang

CoRR, 2019

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series.

Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar

CoRR, 2019

Stability and Generalization of Graph Convolutional Neural Networks.

Saurabh Verma, Zhi-Li Zhang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Improving performance of TCP for wireless network using SDN.

Krishna Vijay Kumar Singh, Sakshi Gupta, Saurabh Verma, Mayank Pandey

Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

A step towards Home Automation using IOT.

Harsh Kumar Singh, Saurabh Verma, Shashank Pal, Kavita Pandey

Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2018

Graph Capsule Convolutional Neural Networks.

Saurabh Verma, Zhi-Li Zhang

CoRR, 2018

Mining Sub-Interval Relationships In Time Series Data.

Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus W. MacDonald III, Snigdhansu Chatterjee, Vipin Kumar

CoRR, 2018

Making content caching policies 'smart' using the deepcache framework.

Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang

Comput. Commun. Rev., 2018

A note on Katugampola fractional calculus and fractal dimensions.

Saurabh Verma, P. Viswanathan

Appl. Math. Comput., 2018

DeepCache: A Deep Learning Based Framework For Content Caching.

Arvind Narayanan, Saurabh Verma, Eman Ramadan, Pariya Babaie, Zhi-Li Zhang

Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

2017

Evaluation of Privacy Preserving IN-Network Aggregation for Different Routing Sturctures in WSNS.

Vishal Krishna Singh, Saurabh Verma, Manish Kumar

J. Ubiquitous Syst. Pervasive Networks, 2017

Multi-low-rank Approximation for Traffic Matrices.

Saurabh Verma, Arvind Narayanan, Zhi-Li Zhang

Proceedings of the 29th International Teletraffic Congress, 2017

Usage Based Tag Enhancement of Images.

Balaji Vasan Srinivasan, Noman Ahmed Sheikh, Roshan Kumar, Saurabh Verma, Niloy Ganguly

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs.

Saurabh Verma, Zhi-Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Mining Spatial-Temporal <i>geoMobile</i> Data via Feature Distributional Similarity Graph.

Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang

Proceedings of the First Workshop on Mobile Data, 2016

Most Calls Are Local (But Some Are Regional): Dissecting Cellular Communication Patterns.

Arvind Narayanan, Saurabh Verma, Zhi-Li Zhang

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Privacy Preserving In-network Aggregation in Wireless Sensor Networks.

Vishal Krishna Singh, Saurabh Verma, Manish Kumar

Proceedings of the 11th International Conference on Future Networks and Communications (FNC 2016) / The 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2016) / Affiliated Workshops, 2016

Stopping Amplified DNS DDoS Attacks through Distributed Query Rate Sharing.

Saurabh Verma, Ali Hamieh, Jun Ho Huh, Henrik Holm, Siva Raj Rajagopalan, Maciej Korczynski, Nina H. Fefferman

Proceedings of the 11th International Conference on Availability, Reliability and Security, 2016

2014

A catalytic neuro-fuzzy approach to model agent-based simulation for ombudsman (Lokpal).

Praveen Ranjan Srivastava, Saurabh Verma, Shivam Upadhyay

Int. J. Bio Inspired Comput., 2014

2013

A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive.

Yashvardhan Sharma, Saurabh Verma, Sumit Kumar, Shivam Upadhyay

Int. J. Cloud Appl. Comput., 2013

2012

Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction.

Saurabh Verma, Estevam R. Hruschka Jr.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012