Punit Rathore
Punit Rathore
Assistant Professor, Indian Institute of Science, Bangalore, India
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Ensemble Fuzzy Clustering using Cumulative Aggregation on Random Projections
P Rathore, J Bezdek, S Erfani, S Rajasegarar, M Palaniswami
IEEE Transactions on Fuzzy Systems, 2017
Real-time Urban Microclimate Analysis Using Internet of Things
P Rathore, A Rao, S Rajasegarar, E Vanz, J Gubbi, M Palaniswami
IEEE Journal on Internet of Things (IoT) , Special Issue on Internet of …, 2017
A Scalable Framework for Trajectory Prediction
P Rathore, D Kumar, S Rajasegarar, M Palaniswami, JC Bezdek
IEEE Transactions on Intelligent Transportation Systems 20 (10), 3860-3874, 2019
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data
P Rathore, D Kumar, JC Bezdek, S Rajasegarar, M Palaniswami
IEEE Transactions on Knowledge and Data Engineering 31 (4), 641-654, 2018
Missing data imputation with bayesian maximum entropy for internet of things applications
A González-Vidal, P Rathore, AS Rao, J Mendoza-Bernal, M Palaniswami, ...
IEEE Internet of Things Journal 8 (21), 16108-16120, 2020
Approximating Dunn's cluster validity indices for partitions of big data
P Rathore, Z Ghafoori, JC Bezdek, M Palaniswami, C Leckie
IEEE Transactions on Cybernetics, 1-13, 2018
Identifying groups of fake reviewers using a semisupervised approach
P Rathore, J Soni, N Prabakar, M Palaniswami, P Santi
IEEE Transactions on Computational Social Systems 8 (6), 1369-1378, 2021
Maximum Entropy based Auto Drift Correction using High and Low Precision Sensors
P Rathore, D Kumar, S Rajasegarar, M Palaniswami
ACM Transactions on Sensor Networks 3 (13), 2017
The Role of Visual Assessment of Clusters for Big Data Analysis: From Real-World Internet of Things
M Palaniswami, A Rao, D Kumar, P Rathore, S Rajasegarar
IEEE Systems, Man, and Cybernetics Magazine 6 (4), 45 - 53, 2020
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
P Rathore, D Kumar, JC Bezdek, S Rajasegarar, M Palaniswami
IEEE Transactions on Cybernetics, 2020
Understanding drivers’ stress and interactions with vehicle systems through naturalistic data analysis
S Milardo, P Rathore, M Amorim, U Fugiglando, P Santi, C Ratti
IEEE Transactions on Intelligent Transportation Systems 23 (9), 14570-14581, 2021
Machine learning-based predictions of fatigue life for multi-principal element alloys
NJ Sai, P Rathore, A Chauhan
Scripta Materialia 226, 115214, 2023
Bayesian Maximum Entropy and Interacting Multiple Model Based Automatic Sensor Drift Detection and Correction in an IoT Environment
P Rathore, D Kumar, S Rajasegarar, M Palaniswami
2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 598-603, 2018
Fast Cluster Tendency Assessment for Big, High-dimensional Data
P Rathore, JC Bezdek, M Palaniswami
Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and …, 2020
Big Data Cluster Analysis and its Applications
P Rathore
The University of Melbourne, 2018
Approximate Cluster Heat Maps of Large High-Dimensional Data
P Rathore, JC Bezdek, D Kumar, S Rajasegarar, M Palaniswami
24th International Conference on Pattern Recognition (ICPR), 0
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge
P Rathore, JC Bezdek, P Santi, C Ratti
arxiv preprint arxiv:2008.09570, 2020
In-Situ Online Measurement of Rhombic Distortion in Billets
P Patra, P Rathore, A Tiwari
International Journal of Innovative Research in Technology 6 (4), 45-52, 2019
Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis
VA Kanthuru, S Rajasegarar, P Rathore, RRM Doss, L Pan, B Ray, ...
International Conference on Advanced Data Mining and Applications, 118-130, 2022
Feature Engineering for Anomaly Detection and Classification of Blockchain Transactions
S Jeyakumar, A Charles, E Yugarajah, P Rathore, M Palaniswami, ...
TechRxiv, 2023
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