• Improving volatility forecasts: Evidence from range-based models 

  Fałdziński, Marcin; Fiszeder, Piotr; Molnar, Peter (Peer reviewed; Journal article, 2024-01)

  Volatility models based on the daily high-low range have become increasingly popular. The high and low prices are easily available, yet the range contains very useful information about volatility. It has been established ...

• DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models 

  Zijian, Zhang; Setty, Vinay; Yumeng, Wang; Anand, Avishek (Peer reviewed; Journal article, 2024)

  With the rapid advancement of neural language models, the deployment of overparameterized models has surged, increasing the need for interpretable explanations comprehensible to human inspectors. Existing post-hoc ...

• The Associations between Anti-Bullying Interventions and Bullying and Cyberbullying Rates in Albanian Schools 

  Ismaili, Emanuela; Rama, Rudina; Strohmeier, Dagmar; Yanagida, Takuya; Gradinger, Petra; Dragoti, Edmond (Peer reviewed; Journal article, 2024)

  To tackle school bullying, teachers can implement school, class, parent, or individual level activities. Applying a socio-ecological model of development, the present study (1) investigates which prevention and intervention ...

• A Weighted Linearization Approach to Gradient Descent Optimization 

  Rotondo, Damiano; Jha, Mayank Shekhar (Chapter, 2024)

  The weighted linearization is a generalization of the first-order Taylor approximation where the computation of the Jacobian matrices at the point of interest is replaced by the computation of the integral of the Jacobian ...

• Marine activities in deep water and harsh weather conditions 

  Gudmestad, Ove Tobias (Lecture, 2024)

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