Author

Anindya Ghatak

Observed name: Ghatak, Anindya

Observed institutions: National Institute of Science Education and Research, Bennett University, Indian Statistical Institute, Bangalore Centre

ORCID: 0000-0001-8715-8430

Observed ORCID: 0000-0001-8715-8430

OpenAlex ID: A5043235574

Recent advancements using machine learning & deep learning approaches for diabetes detection: a systematic review

2024 · Neha Katiyar, Hardeo Kumar Thakur, et al. · e-Prime - Advances in Electrical Engineering Electronics and Energy · 41

Stinespring’s theorem for unbounded operator valued local completely positive maps and its applications

2021 · B.V. Rajarama Bhat, Anindya Ghatak, et al. · Indagationes Mathematicae · 15

Type-2 Diabetes Mellitus Prediction Through Ensemble Learning Technique Based on Gene Data and Machine Learning Approach

2024 · Neha Katiyar, Hardeo Kumar Thakur, et al. · Lecture notes in networks and systems · 6

Quantization of A_0(K)-Spaces

2020 · Anindya Ghatak, Anil Kumar Karn · Operators and Matrices · 5

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M-ideals and split faces of the quasi state space of a non-unital ordered Banach space

2018 · Anindya Ghatak, Anil Kumar Karn · Positivity · 3

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Block decompositions of operator moment dilations

2025 · B. V. Rajarama Bhat, Anindya Ghatak, et al. · Banach Journal of Mathematical Analysis · 2

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CM-ideals and L1-matricial split faces

2019 · Anindya Ghatak, Anil Kumar Karn · Acta Scientiarum Mathematicarum · 2

Diabetes Prediction Using the Frankfurt Dataset: A Hybrid K-Means and Decision Tree Approach

2025 · Neha Katiyar, Hardeo Kumar Thakur, et al. · IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT) · 1

A Radon–Nikodým theorem for local completely positive invariant multilinear maps

2021 · Anindya Ghatak, Santhosh Kumar Pamula · Linear and Multilinear Algebra · 1

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Stacked feed forward neural network for gestational diabetes prediction

2026 · Neha Katiyar, Hardeo Kumar Thakur, et al. · Automated Software Engineering

Deep Transfer Learning for Accurate Lung Cancer Diagnosis Using VGG-16

2026 · Kawalpreet, Aadhya Raghavendra, et al. · International Conference on Computing Theory and Wireless Communications (ICCTWC)

Gestational Diabetes Predictions Using AI Model GAN

2026 · Neha Katiyar, Hardeo Kumar Thakur, et al. · Lecture notes in networks and systems

Archive based Squirrel Search Algorithm: Application to Gene Identification Problem

2026 · Soumen Ghosh, Biswajit Jana, et al. · Lecture notes in networks and systems

PIMA Diabetes Dataset Classification Using AI Optimization Techniques

2025 · Neha Katiyar, Hardeo Kumar Thakur, et al. · International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT)

A note on generalized commuting contractions, and isometries

2025 · Anindya Ghatak, Aryaman Sensarma · Infinite Dimensional Analysis Quantum Probability and Related Topics

Contractive representations of odometer semigroup

2025 · Anindya Ghatak, Narayan Rakshit, et al. · Journal of Functional Analysis

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Russo–dye type theorem, Stinespring representation, and Radon–Nikodým derivative for invariant block multilinear completelypositive maps

2025 · Anindya Ghatak, Aryaman Sensarma · Proceedings - Mathematical Sciences

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Bounded multiplier algebras arising from Fock representation associated to semigroups

2022 · Ghatak, Anindya · arXiv (Cornell University)

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A Russo-Dye type Theorem and Stinespring representation for invariant block multilinear completely positive maps