Research

This paper presents Race lens, a novel application utilizing advanced deep learning and computer vision models for comprehensive analysis of racing photos.

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.

In this paper we investigate the modification of a standard meta-learning pipeline. The proposed method simultaneously utilizes information from several meta-training tasks in a common loss function.

This study used Calcularis 2.0 with additional training forms. It found that the subjects improved their arithmetic skills even more than with older versions of Calcularis.

The above-listed publications cite the raw value and z-value improvements of the study participants, which is common for international publications.

Continuing on from Part 1, which appeared in the same publication, this study looked at the influence of Calcularis on mental irregularities, maths performance anxiety and the children’s own perception of their skills.

The first ever Constructor-related study investigated whether Constructor's visual and auditory training was fundamentally capable of promoting better spelling skills in children both with and without dyslexia.

The authors of this study instructed one third of the participants to practise with Calcularis and another third to practise with Orthograph (the training control group).

The goal of this study was to determine whether Calcularis was also capable of helping younger students improve the numeracy skills in which they showed the greatest need for support. In addition, the study investigated whether the children’s anxiety about maths could be reduced by the training.

The purpose of this article was both to introduce the key concepts of Calcularis (user-specific adaptations, multisensory learning, modelling of the neurological development process) and to present the results of the first Calcularis study.