Saurabh Verma

Orcid: 0000-0001-7591-6660

According to our database1, Saurabh Verma authored at least 30 papers between 2012 and 2025.

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Bibliography

2025
Analysis of α-fractal functions without boundary point conditions on the Sierpiński gasket.
Appl. Math. Comput., 2025

2024
Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques.
Int. J. Artif. Intell. Tools, March, 2024

2023
Bernstein super fractal interpolation function for countable data systems.
Numer. Algorithms, April, 2023

Algorithm Selection for Deep Active Learning with Imbalanced Datasets.
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).
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.
CoRR, 2020

TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook.
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.
Proceedings of the IMC '20: ACM Internet Measurement Conference, 2020

2019
Mining latent patterns in geoMobile data via EPIC.
World Wide Web, 2019

Deep Universal Graph Embedding Neural Network.
CoRR, 2019

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series.
CoRR, 2019

Stability and Generalization of Graph Convolutional Neural Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Improving performance of TCP for wireless network using SDN.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

A step towards Home Automation using IOT.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2018
Graph Capsule Convolutional Neural Networks.
CoRR, 2018

Mining Sub-Interval Relationships In Time Series Data.
CoRR, 2018

Making content caching policies 'smart' using the deepcache framework.
Comput. Commun. Rev., 2018

A note on Katugampola fractional calculus and fractal dimensions.
Appl. Math. Comput., 2018

DeepCache: A Deep Learning Based Framework For Content Caching.
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.
J. Ubiquitous Syst. Pervasive Networks, 2017

Multi-low-rank Approximation for Traffic Matrices.
Proceedings of the 29th International Teletraffic Congress, 2017

Usage Based Tag Enhancement of Images.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs.
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.
Proceedings of the First Workshop on Mobile Data, 2016

Most Calls Are Local (But Some Are Regional): Dissecting Cellular Communication Patterns.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Privacy Preserving In-network Aggregation in Wireless Sensor Networks.
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.
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).
Int. J. Bio Inspired Comput., 2014

2013
A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive.
Int. J. Cloud Appl. Comput., 2013

2012
Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012


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