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6 results in Authors: Arkaprava Banerjee

Theoretical and Computational Chemistry

Working Paper

Prediction-inspired intelligent training for the development of c-RASAR models for organic skin sensitizers: Assessment of classification error rate from novel similarity coefficients

Arkaprava Banerjee, Kunal Roy

Version 1 posted 22 May 2023

146

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Theoretical and Computational Chemistry

Working Paper

Quantitative Predictions from Chemical Read-Across and Their Confidence Measures

Arkaprava Banerjee, Mainak Chatterjee, Priyanka De, Kunal Roy

Version 1 posted 30 May 2022

259

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Theoretical and Computational Chemistry

Working Paper

First report of q-RASAR modeling towards an approach of easy interpretability and efficient transferability

Arkaprava Banerjee, Kunal Roy

Version 1 posted 18 April 2022

320

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Theoretical and Computational Chemistry

Working Paper

A machine learning q-RASPR approach for efficient predictions of the specific surface area of perovskites

Arkaprava Banerjee, Agnieszka Gajewicz-Skretna, Kunal Roy

Version 1 posted 16 November 2022

257

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Theoretical and Computational Chemistry

Working Paper

Quick and Efficient Quantitative Predictions of Androgen Receptor Binding Affinity for Screening Endocrine Disruptor Chemicals Using 2D-QSAR and Chemical Read-Across

Arkaprava Banerjee, Priyanka De, Vinay Kumar, Supratik Kar, Kunal Roy

Version 1 posted 21 April 2022

491

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Theoretical and Computational Chemistry

Working Paper

ARKA: A framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity data

Arkaprava Banerjee, Kunal Roy

Version 1 posted 29 March 2024

204

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6 results in Arkaprava Banerjee in Authors: Arkaprava Banerjee

Prediction-inspired intelligent training for the development of c-RASAR models for organic skin sensitizers: Assessment of classification error rate from novel similarity coefficients

Quantitative Predictions from Chemical Read-Across and Their Confidence Measures

First report of q-RASAR modeling towards an approach of easy interpretability and efficient transferability

A machine learning q-RASPR approach for efficient predictions of the specific surface area of perovskites

Quick and Efficient Quantitative Predictions of Androgen Receptor Binding Affinity for Screening Endocrine Disruptor Chemicals Using 2D-QSAR and Chemical Read-Across

ARKA: A framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity data

6 results in Authors: Arkaprava Banerjee