| Efficient toxicity prediction via simple features using shallow neural networks and decision trees A Karim, A Mishra, MAH Newton, A Sattar Acs Omega 4 (1), 1874-1888, 2019 | 78 | 2019 |
| CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles A Karim, M Lee, T Balle, A Sattar Journal of cheminformatics 13, 1-13, 2021 | 39 | 2021 |
| Quantitative toxicity prediction via meta ensembling of multitask deep learning models A Karim, V Riahi, A Mishra, MAH Newton, A Dehzangi, T Balle, A Sattar ACS omega 6 (18), 12306-12317, 2021 | 30 | 2021 |
| Toxicity prediction by multimodal deep learning A Karim, J Singh, A Mishra, A Dehzangi, MAH Newton, A Sattar Knowledge Management and Acquisition for Intelligent Systems: 16th Pacific …, 2019 | 30 | 2019 |
| Monolayer MoS2 metal insulator transition based memcapacitor modeling with extension to a ternary device AK Khan, BH Lee AIP Advances 6 (9), 2016 | 26 | 2016 |
| Enhancing protein backbone angle prediction by using simpler models of deep neural networks F Mataeimoghadam, MAH Newton, A Dehzangi, A Karim, B Jayaram, ... Scientific reports 10 (1), 19430, 2020 | 24 | 2020 |
| Machine learning interpretability: A science rather than a tool A Karim, A Mishra, MA Newton, A Sattar arXiv preprint arXiv:1807.06722, 2018 | 20 | 2018 |
| Molecular Classification and Interpretation of Amyotrophic Lateral Sclerosis Using Deep Convolution Neural Networks and Shapley Values A Karim, Z Su, PK West, M Keon, J Shamsani, S Brennan, T Wong, ... Genes 2021 12 (11), 1754, 2021 | 14 | 2021 |
| Design of ratioless ternary inverter using graphene barristor CH Shim, S Heo, J Noh, YJ Kim, SY Kim, AK Khan, BH Lee 2016 IEEE 46th International Symposium on Multiple-Valued Logic (ISMVL), 23-30, 2016 | 7 | 2016 |
| Identification of a novel scaffold for inhibition of dipeptidyl peptidase-4 A Mishra, M Cross, A Hofmann, MJ Coster, A Karim, A Sattar Journal of Computational Biology 26 (12), 1470-1486, 2019 | 3 | 2019 |
| Assessing below-ground carbon and nitrogen accumulation of green infrastructure using machine learning methods, targeting sub-tropical bioretention basins E Kavehei, A Karim, G Jenkins, F Adame, A Sattar, C Desha IOP Conference Series: Earth and Environmental Science 509 (1), 012029, 2020 | 2 | 2020 |
| Quantitative toxicity prediction via ensembling of heterogeneous predictors A Karim, V Riahi, A Mishra, A Dehzangi, MAH Newton, A Sattar | 2 | 2019 |
| Amyotrophic lateral sclerosis diagnosis using machine learning and multi-omic data integration HN Rad, Z Su, A Trinh, MAH Newton, J Shamsani, A Karim, A Sattar, ... Heliyon 10 (20), 2024 | | 2024 |
| Molecular toxicity prediction using deep learning A Karim School of Info & Comm Tech, Griffith University, 2021 | | 2021 |
Abdul SattarProfessor of Computer Science, Griffith UniversityE-mail megerősítve itt: griffith.edu.au