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08/30/2023
Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation
The laborious and costly nature of affect annotation is a key detrimenta...
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07/20/2023
Towards General Game Representations: Decomposing Games Pixels into Content and Style
On-screen game footage contains rich contextual information that players...
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05/18/2023
From the Lab to the Wild: Affect Modeling via Privileged Information
How can we reliably transfer affect models trained in controlled laborat...
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10/14/2022
The Invariant Ground Truth of Affect
Affective computing strives to unveil the unknown relationship between a...
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08/25/2022
Supervised Contrastive Learning for Affect Modelling
Affect modeling is viewed, traditionally, as the process of mapping meas...
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07/05/2022
Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery
In Cultural Heritage, hyperspectral images are commonly used since they ...
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07/04/2022
Game State Learning via Game Scene Augmentation
Having access to accurate game state information is of utmost importance...
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06/20/2022
Revisiting lp-constrained Softmax Loss: A Comprehensive Study
Normalization is a vital process for any machine learning task as it con...
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06/13/2022
Learning Task-Independent Game State Representations from Unlabeled Images
Self-supervised learning (SSL) techniques have been widely used to learn...
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04/14/2022
RankNEAT: Outperforming Stochastic Gradient Search in Preference Learning Tasks
Stochastic gradient descent (SGD) is a premium optimization method for t...
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08/12/2021
AffRankNet+: Ranking Affect Using Privileged Information
Many of the affect modelling tasks present an asymmetric distribution of...
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07/22/2021
Privileged Information for Modeling Affect In The Wild
A key challenge of affective computing research is discovering ways to r...
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04/11/2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification
An increasing number of emerging applications in data science and engine...
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01/26/2021
The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games
What if emotion could be captured in a general and subject-agnostic fash...
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04/17/2020
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition
Recent advances in sensing technologies require the design and developme...
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07/10/2019
A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles
In this work we consider the problem of path planning for an autonomous ...
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07/04/2019
From Pixels to Affect: A Study on Games and Player Experience
Is it possible to predict the affect of a user just by observing her beh...
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05/22/2019
A Deep Reinforcement Learning Driving Policy for Autonomous Road Vehicles
This work regards our preliminary investigation on the problem of path p...
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02/06/2019
Common Mode Patterns for Supervised Tensor Subspace Learning
In this work we propose a method for reducing the dimensionality of tens...
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02/15/2018
Tensor-based Nonlinear Classifier for High-Order Data Analysis
In this paper we propose a tensor-based nonlinear model for high-order d...
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09/24/2017
Tensor-Based Classifiers for Hyperspectral Data Analysis
In this work, we present tensor-based linear and nonlinear models for hy...
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07/31/2016
Data-Driven Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery
Detection of moving objects in videos is a crucial step towards successf...
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06/29/2015
