payel sadhukhan

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Publications (26)

• T-SMmOTE: tweaked synthetic majority minority oversampling technique for data scarcity issue in multi omics studies
  Bioinformatics Advances 2026 DOI: 10.1093/bioadv/vbag236
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• Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies
  Information Systems Frontiers 2025 DOI: 10.1007/s10796-025-10679-y
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• A graph theoretic approach to assess quality of data for classification task
  Data & Knowledge Engineering 2025 DOI: 10.1016/j.datak.2025.102421
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• A framework to undersample and refine the synthetic minority set
  Applied Soft Computing 2025 DOI: 10.1016/j.asoc.2025.113095
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• A Hilbert-Curve Based Encoding Scheme for Privacy-Preserving Nearest-Neighbor Classification
  2025 DOI: 10.1007/978-981-96-7005-5_21
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• Shape Penalized Decision Forests for Imbalanced Data Classification
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3569523
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• Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data
  Advances in Data Analysis and Classification 2024 DOI: 10.1007/s11634-024-00589-3
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• Approximate DBSCAN on obfuscated data
  Journal of Information Security and Applications 2024 DOI: 10.1016/j.jisa.2023.103664
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• Be Informed of the Known to Catch the Unknown
  2024 DOI: 10.1007/978-981-99-7019-3_7
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• Explainable AI Using the Wasserstein Distance
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3360484
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