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Behnam Parsaeifard
Behnam Parsaeifard
Dirección de correo verificada de unibas.ch
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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
552021
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
242022
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
242021
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
202019
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
122021
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
42020
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, 2022
32022
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
32020
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
22022
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
22019
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
12022
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, ...
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