Contextualized multidimensional personality recognition using combination of deep neural network and ensemble learning
Personality is generally expressed as the combination of behavior, emotion, motivation, and
thoughts that aim to describe different aspects of human behavior based on a few stable and …
thoughts that aim to describe different aspects of human behavior based on a few stable and …
Hyper-parameter optimization of stacked asymmetric auto-encoders for automatic personality traits perception
In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-
encoder is proposed. In previous work, the deep learning ability to extract personality …
encoder is proposed. In previous work, the deep learning ability to extract personality …
Is Distance a Modality? Multi-Label Learning for Speech-Based Joint Prediction of Attributed Traits and Perceived Distances in 3D Audio Immersive Environments
To the best of our knowledge, this article presents the first experiments on speech-based
Automatic Personality Perception performed in a virtual immersive audio environment. The …
Automatic Personality Perception performed in a virtual immersive audio environment. The …
Personality Prediction Based on Myers-Briggs Type Indicator Using Machine Learning
N Krishnamoorthy, VK Venkatesan… - … Advancements in AI …, 2024 - igi-global.com
The personality indicator uses machine learning techniques to assess each person's
personality in both the personal and professional lives. There are various types of indicators …
personality in both the personal and professional lives. There are various types of indicators …
Detection of Author's Personalities: Application to Identifying Psychological Disorders on Social Media Based on Transformers
S Fersi, S Mechti, LH Belguith - 2024 International Symposium …, 2024 - ieeexplore.ieee.org
The proliferation of social media offers a unique opportunity to analyze user behaviors and
personality traits. This paper explores the application of deep learning for detecting author …
personality traits. This paper explores the application of deep learning for detecting author …