The article by Vera Ignatenko, Anton Surkov, and Sergey Koltsov has been accepted for publication in the journal "PEERJ Computer Science"
The second article, developed within the QTM project "Enhancing the Methodology of Automatic Text Analysis Based on Topic Modeling," on the topic "Random Forests with Parametric Entropy-Based Information Gains for Classification and Regression Problems," will be published.
The preprint of the article "AI can see you: Machiavellianism and Extraversion are reflected in eye movements"
The research has been published on the PsyArXiv website. This work is a result of collaboration between researchers from Russia, Germany, China, and the United Kingdom, including Elina Tsigeman, Victoria Zemlyak, Maxim Likhanov, Kostas A. Papadogeorgiou, and Yulia Kovas.
The article by S. Koltsov, A. Surkov, V. Filippov, and V. Ignatenko has been accepted for publication in the journal PEERJ Computer Science
The work "Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics" was prepared within the framework of the QTM project "Improving the Methodology of Automatic Text Analysis".
The first scientific paper created within the mirror laboratory has been accepted for publication
The collaborative work of Yana Gorina, Olga Lopatina, and Larisa Mararitsa has been accepted for publication in the journal 'Annals of Clinical and Experimental Neurology'