23 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- City St George's, University of LondonGB14 papers
- City, University of LondonGB6 papers
- University College LondonGB4 papers
- Cornell UniversityUS3 papers
- Imperial College LondonGB3 papers
- Northampton Community CollegeUS3 papers
- Technical University of MunichDE3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Centro de Investigación Biomédica en RedES2 papers
- Columbia UniversityUS2 papers
- Durham UniversityGB2 papers
- Harvard UniversityUS2 papers
22 papers
Quantifying Confidence in Assurance 2.0 Arguments
Robin Bloomfield, John Rushby
Confidence is central to safety and assurance cases: how much confidence a decision requires and how much the argument actually provides are both important questions. We present a…
Semantic Conflict Model for Collaborative Data Structures
Georgii Semenov, Vitaly Aksenov
Digital collaboration systems support asynchronous work over replicated data, where conflicts arise when concurrent operations cannot be unambiguously integrated into a shared hist…
Toroidal Fermi-surface geometry and phonon-limited transport in nodal-line semimetals
Aman Anand, Alessandro De Martino
Nodal-line semimetals (NLSs) can display unconventional quasiparticle dynamics and charge transport properties due to their extended band degeneracy and the peculiar geometry of th…
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Parallelism in Neurodegenerative Biomarker Tests: Hidden Errors and the Risk of Misconduct
Axel Petzold, Joachim Pum, David P Crabb
Biomarkers are critical tools in the diagnosis and monitoring of neurodegenerative diseases. Reliable quantification depends on assay validity, especially the demonstration of para…
Beyond Single-Tokenomics: How Farcaster's Pluralistic Incentives Reshape Social Networking
Wen Yang, Qiming Ye, Onur Ascigil +4
This paper presents the first empirical analysis of how diverse token-based reward mechanisms impact platform dynamics and user behaviors. For this, we gather a unique, large-scale…
Filament inclination effect on turbulent canopy flows
Shane Nicholas, Mohammad Omidyeganeh, Alfredo Pinelli +3
Inspired by the spontaneous behaviour observed in filamentous layers -- where the balance between flow-induced drag and structural elasticity dictates the filaments' equilibrium st…
Magnetic Bloch bands and Weiss oscillations in Dirac mass superlattices
A. Anand, R. Egger, A. De Martino
We study two-dimensional Dirac fermions in a one-dimensional mass superlattice under a perpendicular magnetic field. Using exact solutions for isolated and finite arrays of domain…
Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning
Vítor N. Lourenço, Aline Paes, Tillman Weyde
The global spread of misinformation and concerns about content trustworthiness have driven the development of automated fact-checking systems. Since false information often exploit…
Deciphering compressed electroweakino excesses with MadAnalysis 5
Jack Y. Araz, Benjamin Fuks, Mark D. Goodsell +1
We present version 1.11 of MadAnalysis 5, which extends the software package in several major ways to improve the handling of efficiency tables, the computation of observables in d…
Angular-momentum-selective nanofocusing with Weyl semimetals
Marco Peluso, Alessandro De Martino, Reinhold Egger +1
We investigate the theory of surface plasmon polaritons on a magnetic Weyl semimetal conical tip. We show that the axion term in the effective electrodynamics modifies the surface…
How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare
Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli +19
Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach un…
Communicating Likelihoods with Normalising Flows
Jack Y. Araz, Anja Beck, Méril Reboud +2
We present a machine-learning-based workflow to model an unbinned likelihood from its samples. A key advancement over existing approaches is the validation of the learned likelihoo…
Ideology and polarization set the agenda on social media
Edoardo Loru, Alessandro Galeazzi, Anita Bonetti +6
The abundance of information on social media has reshaped public discussions, shifting attention to the mechanisms that drive online discourse. This study analyzes large-scale Twit…
The role of data embedding in quantum autoencoders for improved anomaly detection
Jack Y. Araz, Michael Spannowsky
The performance of Quantum Autoencoders (QAEs) in anomaly detection tasks is critically dependent on the choice of data embedding and ansatz design. This study explores the effects…
Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows
Giorgio Maria Cavallazzi, Luca Guastoni, Ricardo Vinuesa +1
The wall cycle in wall-bounded turbulent flows is a complex turbulence regeneration mechanism that remains not fully understood. This study explores the potential of deep reinforce…
Risk sharing with Lambda value at risk under heterogeneous beliefs
Peng Liu, Andreas Tsanakas, Yunran Wei
In this paper, we study the risk sharing problem among multiple agents using Lambda Value-at-Risk as their preference functional, under heterogeneous beliefs, where beliefs are rep…
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi +14
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disp…
The operad of Latin hypercubes
Markus Linckelmann
We show that the sets of -dimensional Latin hypercubes over a non-empty set , with running over the positive integers, determine an operad which is isomorphic to a sub-op…
Perpetual Observational Studies: New strategies to support efficient implementation of observational studies and randomized trials in the infectious diseases arena
N. Hassoun-Kheir, C. H. van Werkhoven, J. Dunning +17
The increasing threat of emerging infectious diseases and antimicrobial resistance requires more efficient, high-quality research. Perpetual Observational Studies (POS) nested with…
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
Hao Dong, Guang Yang, Fangde Liu +2
A major challenge in brain tumor treatment planning and quantitative evaluation is determination of the tumor extent. The noninvasive magnetic resonance imaging (MRI) technique has…