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ORCIDPunit Rathore
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2020 – today
- 2024
[j11]Jeyakumar Samantha Tharani
, Zhé Hóu, Eugene Yugarajah Andrew Charles, Punit Rathore, Marimuthu Palaniswami, Vallipuram Muthukkumarasamy:
Unified Feature Engineering for Detection of Malicious Entities in Blockchain Networks. IEEE Trans. Inf. Forensics Secur. 19: 8924-8938 (2024)- [c12]Pagadala Krishna Murthy, Punit Rathore:
HaVAT: Automatic Cluster Structure Assessment in Unlabeled data. COMAD/CODS 2024: 45-53 - [c11]B. Srinath Achary, Rankit Kachroo, Punit Rathore:
Adding Explainability to Visual Clustering Tendency Assessment (VAT) Methods Through Feature Importance. IJCNN 2024: 1-8 - [c10]Alokendu Mazumder, Tirthajit Baruah, Bhartendu Kumar, Rishab Sharma, Vishwajeet Pattanaik, Punit Rathore:
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights. WACV 2024: 2839-2848 - [i7]Akash Agrawal, Mayesh Mohapatra, Abhinav Raja, Paritosh Tiwari, Vishwajeet Pattanaik, Neeru Jaiswal, Arpit Agarwal, Punit Rathore:
A Visual-Analytical Approach for Automatic Detection of Cyclonic Events in Satellite Observations. CoRR abs/2410.08218 (2024) - 2023
- [c9]Alokendu Mazumder, Tirthajit Baruah, Akash Kumar Singh, Pagadala Krishna Murthy, Vishwajeet Pattanaik, Punit Rathore:
DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets. ICCV (Workshops) 2023: 187-195 - [i6]Alokendu Mazumder, Pagadala Krishna Murthy, Punit Rathore:
A Self-Supervised Approach for Cluster Assessment of High-Dimensional Data. CoRR abs/2306.00011 (2023) - [i5]Alokendu Mazumder, Bhartendu Kumar, Manan Tayal, Punit Rathore:
Convergence of ADAM with Constant Step Size in Non-Convex Settings: A Simple Proof. CoRR abs/2309.08339 (2023) - [i4]Alokendu Mazumder, Tirthajit Baruah, Bhartendu Kumar, Rishab Sharma, Vishwajeet Pattanaik, Punit Rathore:
Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights. CoRR abs/2310.16194 (2023) - 2022
- [j10]Sebastiano Milardo, Punit Rathore, Marco Amorim, Umberto Fugiglando, Paolo Santi, Carlo Ratti:
Understanding Drivers' Stress and Interactions With Vehicle Systems Through Naturalistic Data Analysis. IEEE Trans. Intell. Transp. Syst. 23(9): 14570-14581 (2022) - [c8]Venkata Abhishek Kanthuru, Sutharshan Rajasegarar, Punit Rathore, Robin Ram Mohan Doss, Lei Pan, Biplob Ray, Morshed Chowdhury, Chandrasekaran Srimathi, M. A. Saleem Durai:
Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis. ADMA (1) 2022: 118-130 - [c7]Sebastiano Milardo, Punit Rathore, Paolo Santi, Carlo Ratti:
A Data-Driven Framework for Driving Style Classification. ADMA (2) 2022: 253-265 - [c6]Shreyasi Datta, Chandan K. Karmakar, Punit Rathore, Marimuthu Palaniswami:
Scalable Cluster Tendency Assessment for Streaming Activity Data using Recurring Shapelets. EMBC 2022: 1036-1040 - 2021
- [j9]Aurora González-Vidal, Punit Rathore, Aravinda S. Rao, José Mendoza-Bernal, Marimuthu Palaniswami, Antonio F. Skarmeta-Gómez:
Missing Data Imputation With Bayesian Maximum Entropy for Internet of Things Applications. IEEE Internet Things J. 8(21): 16108-16120 (2021) - [j8]Punit Rathore, Jayesh Soni, Nagarajan Prabakar, Marimuthu Palaniswami, Paolo Santi:
Identifying Groups of Fake Reviewers Using a Semisupervised Approach. IEEE Trans. Comput. Soc. Syst. 8(6): 1369-1378 (2021) - [j7]Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams. IEEE Trans. Cybern. 51(12): 5979-5992 (2021) - [c5]Shreyasi Datta, Chandan K. Karmakar, Punit Rathore, Marimuthu Palaniswami:
Shapelet Based Visual Assessment of Cluster Tendency in Analyzing Complex Upper Limb Motion. ICASSP 2021: 1315-1319 - [c4]Sebastiano Milardo, Punit Rathore, Paolo Santi, Richard Buteau, Carlo Ratti:
An Unsupervised Approach for Driving Behavior Analysis of Professional Truck Drivers. INTSYS 2021: 44-56 - [p1]Punit Rathore, James C. Bezdek, Marimuthu Palaniswami:
Fast Cluster Tendency Assessment for Big, High-Dimensional Data. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 135-149 - 2020
- [i3]Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti:
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge. CoRR abs/2008.09570 (2020) - [i2]Punit Rathore, Ali Zonoozi, Omid Geramifard, Kian-Lee Tan:
Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study. CoRR abs/2009.04108 (2020)
2010 – 2019
- 2019
- [j6]Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie:
Approximating Dunn's Cluster Validity Indices for Partitions of Big Data. IEEE Trans. Cybern. 49(5): 1629-1641 (2019) - [j5]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek:
A Scalable Framework for Trajectory Prediction. IEEE Trans. Intell. Transp. Syst. 20(10): 3860-3874 (2019) - [j4]Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data. IEEE Trans. Knowl. Data Eng. 31(4): 641-654 (2019) - 2018
- [b1]Punit Rathore:
Big data cluster analysis and its applications. University of Melbourne, Parkville, Victoria, Australia, 2018 - [j3]Punit Rathore, Aravinda S. Rao, Sutharshan Rajasegarar, Elena Vanz, Jayavardhana Gubbi, Marimuthu Palaniswami:
Real-Time Urban Microclimate Analysis Using Internet of Things. IEEE Internet Things J. 5(2): 500-511 (2018) - [j2]Punit Rathore, James C. Bezdek, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections. IEEE Trans. Fuzzy Syst. 26(3): 1510-1524 (2018) - [c3]Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Approximate Cluster Heat Maps of Large High-Dimensional Data. ICPR 2018: 195-200 - [c2]Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie:
Estimating Generalized Dunn's Cluster Validity Indices for Big Data. SMC 2018: 656-661 - [c1]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment. WF-IoT 2018: 598-603 - [i1]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek:
A Scalable Framework for Trajectory Prediction. CoRR abs/1806.03582 (2018) - 2017
- [j1]Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Maximum Entropy-Based Auto Drift Correction Using High- and Low-Precision Sensors. ACM Trans. Sens. Networks 13(3): 24:1-24:41 (2017)
Coauthor Index
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