Feature selection library (MATLAB toolbox)
G Roffo - arXiv preprint arXiv:1607.01327, 2016 - arxiv.org
Feature Selection Library (FSLib) is a widely applicable MATLAB library for Feature
Selection (FS). FS is an essential component of machine learning and data mining which …
Selection (FS). FS is an essential component of machine learning and data mining which …
Emotion detection from micro-blogs using novel input representation
F Anzum, ML Gavrilova - Ieee Access, 2023 - ieeexplore.ieee.org
Emotion is a natural intrinsic state of mind that drives human behavior, social interaction,
and decision-making. Due to the rapid expansion in the current era of the Internet, online …
and decision-making. Due to the rapid expansion in the current era of the Internet, online …
Latent personality traits assessment from social network activity using contextual language embedding
PK KN, ML Gavrilova - IEEE Transactions on Computational …, 2021 - ieeexplore.ieee.org
Recognizing author identity from digital footprints without having a large corpus of
documents from an individual is of keen interest to security researchers and government …
documents from an individual is of keen interest to security researchers and government …
User recognition from social behavior in computer-mediated social context
Social interactions are integral part of human behavior. Although social interactions are
likely to possess unique behavioral patterns, their significance for automated user …
likely to possess unique behavioral patterns, their significance for automated user …
Faved! biometrics: Tell me which image you like and I'll tell you who you are
This paper builds upon the belief that every human being has a built-in image aesthetic
evaluation system. This sort of personal aesthetics mostly follows certain aesthetic rules …
evaluation system. This sort of personal aesthetics mostly follows certain aesthetic rules …
Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis
M Açıkoğlu, SA Tuncer - Medical hypotheses, 2020 - Elsevier
The present study developed a feature selection (FS)-based decision support system using
the electroencephalography (EEG) signals recorded from neonates with and without …
the electroencephalography (EEG) signals recorded from neonates with and without …
Ranking to learn and learning to rank: On the role of ranking in pattern recognition applications
G Roffo - arXiv preprint arXiv:1706.05933, 2017 - arxiv.org
The last decade has seen a revolution in the theory and application of machine learning and
pattern recognition. Through these advancements, variable ranking has emerged as an …
pattern recognition. Through these advancements, variable ranking has emerged as an …
Personal aesthetics for soft biometrics: a generative multi-resolution approach
Are we recognizable by our image preferences? This paper answers affirmatively the
question, presenting a soft biometric approach where the preferred images of an individual …
question, presenting a soft biometric approach where the preferred images of an individual …
Statistical analysis of personality and identity in chats using a keylogging platform
G Roffo, C Giorgetta, R Ferrario, W Riviera… - Proceedings of the 16th …, 2014 - dl.acm.org
Interacting via text chats can be considered as a hybrid type of communication, in which
textual information delivery follows turn-taking dynamics, resembling spoken interactions. An …
textual information delivery follows turn-taking dynamics, resembling spoken interactions. An …
Trusting skype: Learning the way people chat for fast user recognition and verification
Identity safekeeping on chats has recently become an important problem on social networks.
One of the most important issues is identity theft, where impostors steal the identity of a …
One of the most important issues is identity theft, where impostors steal the identity of a …