activity
20182026
most citedGeodesic distance on optimally regularized functional connectomes uncovers individual fingerprints

30 citations · 30 across the 8 of their papers we have counts for

collaborators

9 papers

cs.MA2026

Investigating the Impact of Subgraph Social Structure Preference on the Strategic Behavior of Networked Mixed-Motive Learning Agents

Xinqi Gao, Mario Ventresca

Limited work has examined the strategic behaviors of relational networked learning agents under social dilemmas, and has overlooked the intricate social dynamics of complex systems…

cs.DS2026

Split Algorithm in Linear Time for the Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows

Ethan Gibbons, Mario Ventresca, Beatrice M. Ombuki-Berman

For many kinds of vehicle routing problems (VRPs), a popular heuristic approach involves constructing a Traveling Salesman Problem (TSP) solution, then partitioning segments of the…

math.OC2023

Optimal design of vaccination policies: A case study for Newfoundland and Labrador

Faraz Khoshbakhtian, Hamidreza Validi, Mario Ventresca +1

This paper proposes pandemic mitigation vaccination policies for Newfoundland and Labrador (NL) based on two compact mixed integer programming (MIP) models of the distance-based cr…

q-bio.NC2022

Investigating cognitive ability using action-based models of structural brain networks

Viplove Arora, Enrico Amico, Joaquín Goñi +1

Recent developments in network neuroscience have highlighted the importance of developing techniques for analyzing and modeling brain networks. A particularly powerful approach for…

q-bio.NC2020★ 30 cited

Geodesic distance on optimally regularized functional connectomes uncovers individual fingerprints

Kausar Abbas, Mintao Liu, Manasij Venkatesh +6

Background: Functional connectomes (FCs), have been shown to provide a reproducible individual fingerprint, which has opened the possibility of personalized medicine for neuro/psyc…

q-bio.NC2019

Uncovering differential identifiability in network properties of human brain functional connectomes

Meenusree Rajapandian, Enrico Amico, Kausar Abbas +2

The Identifiability Framework (If) has been shown to improve differential identifiability (reliability across-sessions and -sites, and differentiability across-subjects) of functio…

q-bio.NC2019

Towards an information theoretical description of communication in brain networks

Enrico Amico, Kausar Abbas, Duy Anh Duong-Tran +6

Modeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different c…

q-bio.NC2019

A morphospace of functional configuration to assess configural breadth based on brain functional networks

Duy Duong-Tran, Kausar Abbas, Enrico Amico +5

The best approach to quantify human brain functional reconfigurations in response to varying cognitive demands remains an unresolved topic in network neuroscience. We propose that…

q-bio.NC2018

Modeling communication processes in the human connectome through cooperative learning

Uttara Tipnis, Enrico Amico, Mario Ventresca +1

Communication processes within the human brain at different cognitive states are neither well understood nor completely characterized. We assess communication processes in the huma…