[HTML][HTML] Measuring interoception: The phase adjustment task
Interoception, perception of one's bodily state, has been associated with mental health and
socio-emotional processes. However, several interoception tasks are of questionable …
socio-emotional processes. However, several interoception tasks are of questionable …
A multilayered-and-randomized latent factor model for high-dimensional and sparse matrices
How to extract useful knowledge from a high-dimensional and sparse (HiDS) matrix
efficiently is critical for many big data-related applications. A latent factor (LF) model has …
efficiently is critical for many big data-related applications. A latent factor (LF) model has …
Determining causal relationships in leadership research using Machine Learning: The powerful synergy of experiments and data science
Abstract Machine Learning (ML) techniques offer exciting new avenues for leadership
research. In this paper we discuss how ML techniques can be used to inform predictive and …
research. In this paper we discuss how ML techniques can be used to inform predictive and …
Teaching-trustworthy autonomous cyber-physical applications through human-centred intelligence
D Bacciu, S Akarmazyan, E Armengaud… - … Conference on Omni …, 2021 - ieeexplore.ieee.org
This paper discusses the perspective of the H2020 TEACHING project on the next
generation of autonomous applications running in a distributed and highly heterogeneous …
generation of autonomous applications running in a distributed and highly heterogeneous …
Hybrid artificial intelligence optimization technique
A Azizi, A Azizi - Applications of Artificial Intelligence Techniques in …, 2019 - Springer
RFID technology as a gadget of IoT has been utilized in modern manufacturing to enable
manufacturers to track and identify objects or parts to get the required data. Fulfillment of this …
manufacturers to track and identify objects or parts to get the required data. Fulfillment of this …
Bioinformatics and medicine in the era of deep learning
Many of the current scientific advances in the life sciences have their origin in the intensive
use of data for knowledge discovery. In no area this is so clear as in bioinformatics, led by …
use of data for knowledge discovery. In no area this is so clear as in bioinformatics, led by …
Monitoring mental health using smart devices with text analytical tool
NS Alghamdi - 2019 6th International conference on control …, 2019 - ieeexplore.ieee.org
The emerging of information technology integrated with healthy human lifestyle has been
contributing to improving the overall quality of life. Smart devices have facilitated the digital …
contributing to improving the overall quality of life. Smart devices have facilitated the digital …
Randomized neural network based signature for dynamic texture classification
Dynamic texture analysis has been the focus of intensive research in recent years. Thus, this
paper presents an innovative and highly discriminative dynamic texture analysis method …
paper presents an innovative and highly discriminative dynamic texture analysis method …
Benchmarking reservoir and recurrent neural networks for human state and activity recognition
Monitoring of human states from streams of sensor data is an appealing applicative area for
Recurrent Neural Network (RNN) models. In such a scenario, Echo State Network (ESN) …
Recurrent Neural Network (RNN) models. In such a scenario, Echo State Network (ESN) …
Using deep belief network to demote web spam
X Zhuang, Y Zhu, Q Peng, F Khurshid - Future Generation Computer …, 2021 - Elsevier
Many score propagation based Web Spam Demotion Algorithms (WSDAs) have been
proposed in last decade. There are two major challenges those algorithms suffer from. First …
proposed in last decade. There are two major challenges those algorithms suffer from. First …