1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- China Medical UniversityTW59 papers
- Complexity Science HubAT35 papers
- University of MariborSI35 papers
- Alma Mater EuropaeaSI22 papers
- Universidade Estadual de MaringáBR13 papers
- Kyung Hee UniversityKR9 papers
- Institute for Complex SystemsIT7 papers
- Moscow Institute of Physics and TechnologyRU7 papers
- Universidad Rey Juan CarlosES7 papers
- University of LuxembourgLU7 papers
- University of VictoriaCA7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
59 papers
NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study
Eddie Huang, Ken Liao, Iven Fu +14
Agentic research systems are emerging as a new paradigm for coordinating scientific workflows beyond isolated model inference, code generation, or statistical analysis. However, de…
Robustness and resilience of complex networks
Oriol Artime, Marco Grassia, Manlio De Domenico +5
Complex networks are ubiquitous: a cell, the human brain, a group of people and the Internet are all examples of interconnected many-body systems characterized by macroscopic prope…
Dynamics of a Model of Polluted Lakes via Fractal-Fractional Operators with Two Different Numerical Algorithms
Tanzeela Kanwal, Azhar Hussain, İbrahim Avcı +3
We employ Mittag-Leffler type kernels to solve a system of fractional differential equations using fractal-fractional (FF) operators with two fractal and fractional orders. Using t…
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…
Universal productivity patterns in research careers
Andre S. Sunahara, Matjaz Perc, Haroldo V. Ribeiro
A common expectation is that career productivity peaks rather early and then gradually declines with seniority. But whether this holds true is still an open question. Here we inves…
Subtransversality and Strong CHIP of Closed Sets in Asplund Spaces
Zhou Wei, Michel Théra, Jen-Chih Yao
In this paper, we mainly study subtransversality and two types of strong CHIP (given via Fréchet and limiting normal cones) for a collection of finitely many closed sets. We first…
Interplay between particle trapping and heterogeneity in anomalous diffusion
Haroldo V. Ribeiro, Angel A. Tateishi, Ervin K. Lenzi +2
Heterogeneous media diffusion is often described using position-dependent diffusion coefficients and estimated indirectly through mean squared displacement in experiments. This app…
Complexity of the COVID-19 pandemic in Maringa
Andre S. Sunahara, Arthur A. B. Pessa, Matjaz Perc +1
While extensive literature exists on the COVID-19 pandemic at regional and national levels, understanding its dynamics and consequences at the city level remains limited. This stud…
Deep Learning Criminal Networks
Haroldo V. Ribeiro, Diego D. Lopes, Arthur A. B. Pessa +6
Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a s…
Eco-evolutionary cyclic dominance among predators, prey, and parasites
Sayantan Nag Chowdhury, Jeet Banerjee, Matjaž Perc +1
Predator prey interactions are one of ecology's central research themes, but with many interdisciplinary implications across the social and natural sciences. Here we consider an of…
Multi-compartment poroelastic models of perfused biological soft tissues: implementation in FEniCSx
Thomas Lavigne, Stéphane Urcun, Pierre-Yves Rohan +3
Soft biological tissues demonstrate strong time-dependent and strain-rate mechanical behavior, arising from their intrinsic visco-elasticity and fluid-solid interactions (especiall…
Age and market capitalization drive large price variations of cryptocurrencies
Arthur A. B. Pessa, Matjaz Perc, Haroldo V. Ribeiro
Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets…
Oppressed species can form a winning pair in a multi-species ecosystem
Attila Szolnoki, Matjaz Perc
The self-protection of alliances against external invaders is a key concept behind the maintenance of biodiversity in the face of natural selection. But since these alliances, whic…
Why are there six degrees of separation in a social network?
Ivan Samoylenko, David Aleja, Eva Primo +11
A wealth of evidence shows that real world networks are endowed with the small-world property i.e., that the maximal distance between any two of their nodes scales logarithmically…
Machine Learning Partners in Criminal Networks
Diego D. Lopes, Bruno R. da Cunha, Alvaro F. Martins +5
Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of criminal networks…
A Discrete Droplet Method for Modelling Thin Film Flows
Anand S Bharadwaj, Joerg Kuhnert, Stephane P. A. Bordas +1
In this paper, we present a new model to simulate the formation, evolution, and break up of a thin film of fluid flowing over a curved surface. Referred to as the discrete droplet…
Clustering free-falling paper motion with complexity and entropy
Arthur A. B. Pessa, Matjaz Perc, Haroldo V. Ribeiro
Many simple natural phenomena are characterized by complex motion that appears random at first glance, but that often displays underlying patterns and behavior that can be clustere…
Universality of political corruption networks
Alvaro F. Martins, Bruno R. da Cunha, Quentin S. Hanley +3
Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated to corruption networks is still in its infancy and indeed little is kno…
Dynamics on higher-order networks: A review
Soumen Majhi, Matjaz Perc, Dibakar Ghosh
Network science has evolved into an indispensable platform for studying complex systems. But recent research has identified limits of classical networks, where links connect pairs…
An a posteriori error estimator for the spectral fractional power of the Laplacian
Raphaël Bulle, Olga Barrera, Stéphane P. A. Bordas +2
We develop a novel a posteriori error estimator for the error committed by the finite element discretization of the solution of the fractional Laplacian. Our a posteriori err…
Determining liquid crystal properties with ordinal networks and machine learning
Arthur A. B. Pessa, Rafael S. Zola, Matjaz Perc +1
Machine learning methods are becoming increasingly important for the development of materials science. In spite of this, the use of image analysis in the development of these syste…
Swarmalators under competitive time-varying phase interactions
Gourab K. Sar, Sayantan Nag Chowdhury, Matjaz Perc +1
Swarmalators are entities with the simultaneous presence of swarming and synchronization that reveal emergent collective behavior due to the fascinating bidirectional interplay bet…
Evolution of honesty in higher-order social networks
Aanjaneya Kumar, Sandeep Chowdhary, Valerio Capraro +1
Sender-receiver games are simple models of information transmission that provide a formalism to study the evolution of honest signaling and deception between a sender and a receive…
Characterizations of Stability of Error Bounds for Convex Inequality Constraint Systems
Zhou Wei, Michel Thera, Jen-Chih Yao
In this paper, we mainly study error bounds for a single convex inequality and semi-infinite convex constraint systems, and give characterizations of stability of error bounds via…