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Geven Piir

Showing results (1-10 of 12) with videos related to

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Journal of Hazardous Materials|October 4, 2023
Pesticide effect on earthworm lethality via interpretable machine learningMihkel Kotli, Geven Piir, Uko Maran
ACS Omega|February 17, 2025
Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced DataMihkel Kotli, Geven Piir, Uko Maran
Chemosphere|November 11, 2023
Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and bindersGeven Piir, Sulev Sild, Uko Maran
Chemosphere|November 13, 2020
Binary and multi-class classification for androgen receptor agonists, antagonists and bindersGeven Piir, Sulev Sild, Uko Maran
Pharmaceutics|October 27, 2022
Intrinsic Aqueous Solubility: Mechanistically Transparent Data-Driven Modeling of Drug SubstancesMare Oja, Sulev Sild, Geven Piir, et al.
International Journal of Molecular Sciences|November 9, 2024
Nanomaterial Texture-Based Machine Learning of Ciprofloxacin Adsorption on Nanoporous CarbonMaike Käärik, Nadežda Krjukova, Uko Maran, et al.
Environmental Health Perspectives|December 19, 2018
Best Practices for QSAR Model Reporting: Physical and Chemical Properties, Ecotoxicity, Environmental Fate, Human Health, and Toxicokinetics EndpointsGeven Piir, Iiris Kahn, Alfonso T García-Sosa, et al.
Chemical Research in Toxicology|June 2, 2026
Classification of Thyroid Peroxidase (TPO) Inhibitors Using Transfer Learning with SMILES EmbeddingsGeven Piir, Sulev Sild, Eliana Spilioti, et al.
Journal of Cheminformatics|March 27, 2026
Perspective on applicability of data-driven machine learning computational new approach methodologies for hazard identification in chemicals risk assessmentGeven Piir, Sulev Sild, Olga Tcheremenskaia, et al.
ALTEX|May 23, 2025
Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR)Samuel J Belfield, Homa Basiri, Chavan Swapnil, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Journal of Hazardous Materials|October 4, 2023
Pesticide effect on earthworm lethality via interpretable machine learningMihkel Kotli, Geven Piir, Uko Maran
ACS Omega|February 17, 2025
Predictive Modeling of Pesticides Reproductive Toxicity in Earthworms Using Interpretable Machine-Learning Techniques on Imbalanced DataMihkel Kotli, Geven Piir, Uko Maran
Chemosphere|November 11, 2023
Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and bindersGeven Piir, Sulev Sild, Uko Maran
Chemosphere|November 13, 2020
Binary and multi-class classification for androgen receptor agonists, antagonists and bindersGeven Piir, Sulev Sild, Uko Maran
Pharmaceutics|October 27, 2022
Intrinsic Aqueous Solubility: Mechanistically Transparent Data-Driven Modeling of Drug SubstancesMare Oja, Sulev Sild, Geven Piir, et al.
International Journal of Molecular Sciences|November 9, 2024
Nanomaterial Texture-Based Machine Learning of Ciprofloxacin Adsorption on Nanoporous CarbonMaike Käärik, Nadežda Krjukova, Uko Maran, et al.
Environmental Health Perspectives|December 19, 2018
Best Practices for QSAR Model Reporting: Physical and Chemical Properties, Ecotoxicity, Environmental Fate, Human Health, and Toxicokinetics EndpointsGeven Piir, Iiris Kahn, Alfonso T García-Sosa, et al.
Chemical Research in Toxicology|June 2, 2026
Classification of Thyroid Peroxidase (TPO) Inhibitors Using Transfer Learning with SMILES EmbeddingsGeven Piir, Sulev Sild, Eliana Spilioti, et al.
Journal of Cheminformatics|March 27, 2026
Perspective on applicability of data-driven machine learning computational new approach methodologies for hazard identification in chemicals risk assessmentGeven Piir, Sulev Sild, Olga Tcheremenskaia, et al.
ALTEX|May 23, 2025
Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR)Samuel J Belfield, Homa Basiri, Chavan Swapnil, et al.
Pageof 2