49 citations · 91 across the 7 of their papers we have counts for
8 papers
Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education
Behnam Parsaeifard, Christof Imhof, Tansu Pancar +4
Students disengaging from their tasks can have serious long-term consequences, including academic drop-out. This is particularly relevant for students in distance education. One wa…
Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models
Behnam Parsaeifard, Martin Hlosta, Per Bergamin
With the rise of online learning, the demand for efficient and consistent assessment in mathematics has significantly increased over the past decade. Machine Learning (ML), particu…
Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models
Christof Imhof, Ioan-Sorin Comsa, Martin Hlosta +3
Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include higher risk of drop-outs, increased stress, and r…
Manifolds of quasi-constant SOAP and ACSF fingerprints and the resulting failure to machine learn four-body interactions
Behnam Parsaeifard, Stefan Goedecker
Atomic fingerprints are commonly used for the characterization of local environments of atoms in machine learning and other contexts. In this work, we study the behavior of two wid…
Maximum volume simplex method for automatic selection and classification of atomic environments and environment descriptor compression
Behnam Parsaeifard, Daniele Tomerini, Deb Sankar De +1
Fingerprint distances, which measure the similarity of atomic environments, are commonly calculated from atomic environment fingerprint vectors. In this work we present the simplex…
Detecting non-local effects in the electronic structure of a simple covalent system with machine learning methods
Behnam Parsaeifard, Jonas A. Finkler, Stefan Goedecker
Using methods borrowed from machine learning we detect in a fully algorithmic way long range effects on local physical properties in a simple covalent system of carbon atoms. The f…
An assessment of the structural resolution of various fingerprints commonly used in machine learning
Behnam Parsaeifard, Deb Sankar De, Anders S. Christensen +6
Atomic environment fingerprints are widely used in computational materials science, from machine learning potentials to the quantification of similarities between atomic configurat…
Controlling Cost in Sandpile Models Through Local Adjustment of Drive
Behnam Parsaeifard, Saman Moghimi-Araghi
In this paper we consider sandpile models and modify the drive mechanisms to control the size of avalanches. The modification to the drive mechanism is local. We have studied the s…