Probir Kumar Ojha

Further exploring r metrics for validation of QSPR models

Probir Kumar Ojha, Indrani Mitra, Rudra Narayan Das et al. · Chemometrics and Intelligent Laboratory Systems · 2011 · 546 citations

Some case studies on application of “<i>r</i>_<i>m</i>²” metrics for judging quality of quantitative structure–activity relationship predictions: Emphasis on scaling of response data

Kunal Roy, Pratim Chakraborty, Indrani Mitra et al. · Journal of Computational Chemistry · 2013 · 453 citations

Comparative Studies on Some Metrics for External Validation of QSPR Models

Kunal Roy, Indrani Mitra, Supratik Kar et al. · Journal of Chemical Information and Modeling · 2011 · 449 citations

Single Test Set, External Validation, Engineering +18

Comparative QSARs for antimalarial endochins: Importance of descriptor-thinning and noise reduction prior to feature selection

Probir Kumar Ojha, Kunal Roy · Chemometrics and Intelligent Laboratory Systems · 2011 · 242 citations

Medicinal Chemistry, Drug Target, Engineering +12

Is it possible to improve the quality of predictions from an “intelligent” use of multiple QSAR/QSPR/QSTR models?

Kunal Roy, Pravin Ambure, Supratik Kar et al. · Journal of Chemometrics · 2018 · 125 citations

Artificial Intelligence, Engineering, Machine Learning +22