Punit Rathore

Orcid: 0000-0003-4835-4556

According to our database1, Punit Rathore authored at least 29 papers between 2017 and 2024.

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Bibliography

2024
Unified Feature Engineering for Detection of Malicious Entities in Blockchain Networks.
IEEE Trans. Inf. Forensics Secur., 2024

Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Adding Explainability to Visual Clustering Tendency Assessment (VAT) Methods Through Feature Importance.
Proceedings of the International Joint Conference on Neural Networks, 2024

HaVAT: Automatic Cluster Structure Assessment in Unlabeled data.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
Convergence of ADAM with Constant Step Size in Non-Convex Settings: A Simple Proof.
CoRR, 2023

A Self-Supervised Approach for Cluster Assessment of High-Dimensional Data.
CoRR, 2023

DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Understanding Drivers' Stress and Interactions With Vehicle Systems Through Naturalistic Data Analysis.
IEEE Trans. Intell. Transp. Syst., 2022

Scalable Cluster Tendency Assessment for Streaming Activity Data using Recurring Shapelets.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Data-Driven Framework for Driving Style Classification.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
Fast Cluster Tendency Assessment for Big, High-Dimensional Data.
Proceedings of the Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, 2021

Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams.
IEEE Trans. Cybern., 2021

Identifying Groups of Fake Reviewers Using a Semisupervised Approach.
IEEE Trans. Comput. Soc. Syst., 2021

Missing Data Imputation With Bayesian Maximum Entropy for Internet of Things Applications.
IEEE Internet Things J., 2021

An Unsupervised Approach for Driving Behavior Analysis of Professional Truck Drivers.
Proceedings of the Intelligent Transport Systems - 5th EAI International Conference, 2021

Shapelet Based Visual Assessment of Cluster Tendency in Analyzing Complex Upper Limb Motion.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study.
CoRR, 2020

ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge.
CoRR, 2020

2019
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2019

A Scalable Framework for Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst., 2019

Approximating Dunn's Cluster Validity Indices for Partitions of Big Data.
IEEE Trans. Cybern., 2019

2018
Big data cluster analysis and its applications.
PhD thesis, 2018

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections.
IEEE Trans. Fuzzy Syst., 2018

Real-Time Urban Microclimate Analysis Using Internet of Things.
IEEE Internet Things J., 2018

Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Estimating Generalized Dunn's Cluster Validity Indices for Big Data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Approximate Cluster Heat Maps of Large High-Dimensional Data.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Maximum Entropy-Based Auto Drift Correction Using High- and Low-Precision Sensors.
ACM Trans. Sens. Networks, 2017


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