2 citations · 5 across the 7 of their papers we have counts for
8 papers
Is it the model or the metric -- On robustness measures of deeplearning models
Zhijin Lyu, Yutong Jin, Sneha Das
Determining the robustness of deep learning models is an established and ongoing challenge within automated decision-making systems. With the advent and success of techniques that…
Applying Pre-Trained Deep-Learning Model on Wrist Angel Data -- An Analysis Plan
Harald Vilhelm Skat-Rørdam, Mia Hang Knudsen, Simon Nørby Knudsen +3
We aim to investigate if we can improve predictions of stress caused by OCD symptoms using pre-trained models, and present our statistical analysis plan in this paper. With the met…
Rotation of pear-shaped Ru nucleus
A. Karmakar, P. Datta, Soumik Bhattacharya +14
Atomic nuclei in general can have deformed shapes and nearly all these shapes are symmetric with respect to reflection. Only a few Actinide nuclei have stable reflection asymmetric…
Pre-processing Blood-Volume-Pulse for In-the-wild Applications
Laurits Fromberg, Sneha Das, Line Katrine Harder Clemmensen
Blood-volume-pulse (BVP) is a biosignal commonly used in applications for non-invasive affect recognition and wearable technology. However, its predisposition to noise constitutes…
A fast-rotating pear-shaped nucleus
A. Karmakar, P. Datta, Soumik Bhattacharya +15
The spectroscopic studies have identified few Actinide and Lanthanide nuclei of the periodic table, which can assume the pear shape. The low frequency collective rotation of these…
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan
Nicole N. Lønfeldt, Flavia D. Frumosu, A. -R. Cecilie Mora-Jensen +4
Motivation: Behavioral observations are an important resource in the study and evaluation of psychological phenomena, but it is costly, time-consuming, and susceptible to bias. Thu…
Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study
Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg +1
Use of speech models for automatic speech processing tasks can improve efficiency in the screening, analysis, diagnosis and treatment in medicine and psychiatry. However, the perfo…
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora
Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg +1
In recent years, speech emotion recognition (SER) has been used in wide ranging applications, from healthcare to the commercial sector. In addition to signal processing approaches,…