In silico prediction of the toxicity of nitroaromatic compounds: Application of ensemble learning qsar approach A Daghighi, GM Casanola-Martin, T Timmerman, D Milenković, B Lučić, ... Toxics 10 (12), 746, 2022 | 15 | 2022 |
A novel machine-learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy M Sueker, A Daghighi, A Akhbardeh, N MacKinnon, G Bearman, I Baek, ... Sensors 23 (22), 9062, 2023 | 3 | 2023 |
In silico toxicology: application of machine learning for predicting toxicity of organic compounds A Daghighi North Dakota State University, 2023 | 1 | 2023 |
In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach. Toxics 2022, 10, 746 A Daghighi, GM Casanola-Martin, T Timmerman, D Milenkovic, B Lucic, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 1 | 2022 |
Phenolic Acid–β-Cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-Based QSAR Study K Iduoku, M Ngongang, J Kulathunga, A Daghighi, G Casanola-Martin, ... Foods 13 (13), 2147, 2024 | | 2024 |
In Silico Prediction of the Biodegradability of Chlorinated Com-pounds: Application of Quantitative Structure-Biodegradability Relationship Approach M Erickson, D Vasyutyn, M Ngongang, A Daghighi, S Szwiec, ... | | 2024 |
Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning Modeling A Daghighi, GM Casanola-Martin, K Iduoku, H Kusic, H González-Díaz, ... Environmental Science & Technology, 2024 | | 2024 |
Development of QSAR Models on the Fouling-Release Performance of Silicone Oil-modified Siloxane Polyurethane Coatings A Khanam, G Casanola-Martin, A Daghighi, D Webster, B Rasulev | | 2024 |
PCR.PTML Combined Artificial Intelligence-2 Experimental Methodology for 3 Variant Calling of Ancient DNA Microbiome 4 Sequences from Miocene Amber Samples (submitted) H Rama, J. L. R., Ascencio-Medina, E., Ageitos, J. M., Feijoo-Siota, L., He ... Journal of Chemical Information and Modeling, 0 | | |
Phenolic Acid-β-cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-based QSAR Study (submitted) B Iduoku, K., Ngongang, M., Kulathunga, J., Daghighi, A., Casanola-Martin, G ... ACS Food Science & Technology, 0 | | |