870 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- City, University of LondonGB152 papers
- University of OxfordGB15 papers
- St George's, University of LondonGB14 papers
- Centre National de la Recherche ScientifiqueFR13 papers
- King's College LondonGB11 papers
- Nankai UniversityCN11 papers
- Northeastern UniversityUS7 papers
- University of BolognaIT6 papers
- Austral University of ChileCL5 papers
- Imperial College LondonGB5 papers
- KTH Royal Institute of TechnologySE5 papers
- National Institute for Theoretical PhysicsZA5 papers
10 papers · 1 filter
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…
Multilayer network science: theory, methods, and applications
Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14
Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…
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…
Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
Jamal Hwaidi, Mohamed Chahine Ghanem
The brain-computer interface (BCI) establishes a non-muscle channel that enables direct communication between the human body and an external device. Electroencephalography (EEG) is…
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…
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…