An assessment of the structural resolution of various fingerprints commonly used in machine learning B Parsaeifard, A Christensen, F Faber, E Kocer, J Behler, O von Lilienfeld, ... APS March Meeting Abstracts 137, 145-153, 2021 | 59 | 2021 |
Manifolds of quasi-constant SOAP and ACSF fingerprints and the resulting failure to machine learn four-body interactions B Parsaeifard, S Goedecker The Journal of Chemical Physics 156 (3), 2022 | 26 | 2022 |
Learning decoupled representations for human pose forecasting B Parsaeifard, S Saadatnejad, Y Liu, T Mordan, A Alahi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26 | 2021 |
Surface reconstructions and premelting of the (100) CaF 2 surface S Faraji, SA Ghasemi, B Parsaeifard, S Goedecker Physical Chemistry Chemical Physics 21 (29), 16270-16281, 2019 | 20 | 2019 |
Fingerprint-based detection of non-local effects in the electronic structure of a simple single component covalent system B Parsaeifard, DS De, JA Finkler, S Goedecker Condensed Matter 6 (1), 9, 2021 | 12 | 2021 |
Maximum volume simplex method for automatic selection and classification of atomic environments and environment descriptor compression B Parsaeifard, D Tomerini, DS De, S Goedecker The Journal of Chemical Physics 153 (21), 2020 | 4 | 2020 |
Prediction of dilatory behavior in elearning: A comparison of multiple machine learning models C Imhof, IS Comsa, M Hlosta, B Parsaeifard, I Moser, P Bergamin IEEE Transactions on Learning Technologies 16 (5), 648-663, 2022 | 3 | 2022 |
Detecting non-local effects in the electronic structure of a simple covalent system with machine learning methods B Parsaeifard, JA Finkler, S Goedecker arXiv preprint arXiv:2008.11277, 2020 | 3 | 2020 |
Response to “Comment on ‘Manifolds of quasi-constant SOAP and ACSF fingerprints and the resulting failure to machine learn four-body interactions’”[J. Chem. Phys. 156, 034302 … B Parsaeifard, M Krummenacher, S Goedecker The Journal of Chemical Physics 157 (17), 2022 | 2 | 2022 |
Controlling cost in sandpile models through local adjustment of drive B Parsaeifard, S Moghimi-Araghi Physica A: Statistical Mechanics and its Applications 534, 122185, 2019 | 2 | 2019 |
Work-in-Progress–Motion Tracking Data as a Proxy for Cognitive Load in Immersive Learning I Moser, IS Comsa, B Parsaeifard, P Bergamin 2022 8th International Conference of the Immersive Learning Research Network …, 2022 | 1 | 2022 |
Improving machine learning methods for the calculation of potential energy surfaces B Parsaeifard University_of_Basel, 2021 | | 2021 |
Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion–A Perspective of Attention Mechanism-Based Bi-LSTM … V Artola, C Sanz, S Baldassarri, C Imhof, IS Comsa, M Hlosta, ... | | |