Network-based microsynteny analysis identifies major differences and genomic outliers in mammalian and angiosperm genomes

T Zhao, ME Schranz - … of the National Academy of Sciences, 2019 - National Acad Sciences
A comprehensive analysis of relative gene order, or microsynteny, can provide valuable
information for understanding the evolutionary history of genes and genomes, and ultimately …

A comprehensive analysis of multilayer community detection algorithms for application to EEG-based brain networks

MG Puxeddu, M Petti, L Astolfi - Frontiers in systems neuroscience, 2021 - frontiersin.org
Modular organization is an emergent property of brain networks, responsible for sha**
communication processes and underpinning brain functioning. Moreover, brain networks …

Human activity is altering the world's zoogeographical regions

R Bernardo‐Madrid, J Calatayud… - Ecology …, 2019 - Wiley Online Library
Zoogeographical regions, or zooregions, are areas of the Earth defined by species pools
that reflect ecological, historical and evolutionary processes acting over millions of years …

Model-agnostic structural transfer learning for cross-domain autonomous activity recognition

P Alinia, A Arefeen, ZE Ashari, SI Mirzadeh… - Sensors, 2023 - mdpi.com
Activity recognition using data collected with smart devices such as mobile and wearable
sensors has become a critical component of many emerging applications ranging from …

[HTML][HTML] Disrupted functional connectivity of precuneus subregions in obsessive-compulsive disorder

Q Ye, Z Zhang, W Sun, Q Fan, Y Li - NeuroImage: Clinical, 2021 - Elsevier
Obsessive-compulsive disorder (OCD) is a chronic and disabling psychiatric disorder with
high lifetime prevalence, yet the underlying pathogenesis remains not fully understood …

The optimal setting for multilayer modularity optimization in multilayer brain networks

MG Puxeddu, M Petti, D Mattia… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Community detection plays a key role in the study of brain networks, as mechanisms of
modular integration and segregation are known to characterize the brain functioning …

Actilabel: A combinatorial transfer learning framework for activity recognition

P Alinia, I Mirzadeh, H Ghasemzadeh - arxiv preprint arxiv:2003.07415, 2020 - arxiv.org
Sensor-based human activity recognition has become a critical component of many
emerging applications ranging from behavioral medicine to gaming. However, an …

Multi-layer analysis of multi-frequency brain networks as a new tool to study EEG topological organization

MG Puxeddu, M Petti, L Astolfi - 2021 43rd Annual International …, 2021 - ieeexplore.ieee.org
Oscillatory activity rising from the interaction among neurons is widely observed in the brain
at different scales and is thought to encode distinctive properties of the neural processing …

[PDF][PDF] Advanced community identification model for social networks

F Amin, JG Choi, GS Choi - Cmc-Comput. Mater. Contin, 2021 - cdn.techscience.cn
Community detection in social networks is a hard problem because of the size, and the need
of a deep understanding of network structure and functions. While several methods with …

Brain's Dynamic Functional Organization with Simultaneous EEG-fMRI Networks

F Ayres-Ribeiro, J Wirsich, R Abreu, J Jorge… - … Workshop on Complex …, 2023 - Springer
The brain's functional networks can be assessed using imaging techniques like functional
magnetic resonance imaging (fMRI) and electroencephalography (EEG). Recent studies …