Payel Sadhukhan

26 papers B 2C 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A framework to undersample and refine the synthetic minority set.
Appl. Soft Comput.
Payel Sadhukhan
2025 J jnl
A graph theoretic approach to assess quality of data for classification task.
Data Knowl. Eng.
Payel Sadhukhan, Samrat Gupta
2025 J jnl
Shape Penalized Decision Forests for Imbalanced Data Classification.
IEEE Access
Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty
2024 J jnl
Approximate DBSCAN on obfuscated data.
J. Inf. Secur. Appl.
Payel Sadhukhan, Labani Halder, Sarbani Palit
2024 — conf
Deploying model obfuscation: towards the privacy of decision-making models on shared platforms.
AMCIS
Payel Sadhukhan, Tanujit Chakraborty, Kausik Sengupta
2024 J jnl
Explainable AI Using the Wasserstein Distance.
IEEE Access
Shion Samadder Chaudhury, Payel Sadhukhan, Kausik Sengupta
2024 J jnl
Footprints of Data in a Classifier Model: The Privacy Issues and Their Mitigation through Data Obfuscation.
CoRR
Payel Sadhukhan, Tanujit Chakraborty
2024 — conf
Knowing the class distinguishing abilities of the features, to build better decision-making models.
AMCIS
Payel Sadhukhan, Kausik Sengupta, Sarbani Palit, Tanujit Chakraborty
2024 J jnl
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data.
Adv. Data Anal. Classif.
Payel Sadhukhan, Sarbani Palit
2024 — conf
Parameter-Free Undersampling for Multi-Label Data.
ICAART (2)
Sarbani Palit, Payel Sadhukhan
2023 — conf
Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data.
ICAART (2)
Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
2023 J jnl
Oversampling the minority class using a dedicated fitness function and genetic algorithmic progression.
Concurr. Comput. Pract. Exp.
Payel Sadhukhan, Sarbani Palt
2022 — conf
Be Informed of the Known to Catch the Unknown.
PRICAI (1)
Payel Sadhukhan, Sarbani Palit
2022 — conf
Exploring the Pertinence of Distance Functions for Nominal Multi-label Data.
AIAI (2)
Payel Sadhukhan
2022 B conf
Random Walk-steered Majority Undersampling.
SMC
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
2021 J jnl
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data.
CoRR
Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
2021 — conf
ML-NCA: Multi-label Neighbourhood Component Analysis.
LIDTA@ECML/PKDD
Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee
2021 J jnl
Multi-label learning on principles of reverse k-nearest neighbourhood.
Expert Syst. J. Knowl. Eng.
Payel Sadhukhan, Sarbani Palit
2021 J jnl
Random Walk-steered Majority Undersampling.
CoRR
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
2020 J jnl
Adaptive learning of minority class prior to minority oversampling.
Pattern Recognit. Lett.
Payel Sadhukhan, Sarbani Palit
2020 J jnl
Can Reverse Nearest Neighbors Perceive Unknowns?
IEEE Access
Payel Sadhukhan
2020 J jnl
Lattice and Imbalance Informed Multi-Label Learning.
IEEE Access
Payel Sadhukhan, Sarbani Palit
2019 B conf
Learning Minority Class prior to Minority Oversampling.
IJCNN
Payel Sadhukhan
2019 J jnl
Reverse-nearest neighborhood based oversampling for imbalanced, multi-label datasets.
Pattern Recognit. Lett.
Payel Sadhukhan, Sarbani Palit
2017 — conf
Multi-label Learning Through Minimum Spanning Tree-Based Subset Selection and Feature Extraction.
Canadian AI
Payel Sadhukhan, C. A. Murthy
2016 C conf
Fast Autonomous Crater Detection by Image Analysis-For Unmanned Landing on Unknown Terrain.
ICISP
Payel Sadhukhan, Sarbani Palit