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20022025
most citedAutomatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

643 citations

Showing 2024Show all

16 papers · 1 filter

astro-ph.SR202411 cited

The IACOB project XIII. Helium enrichment in O-type stars as a tracer of past binary interaction

C. Martínez-Sebastián, S. Simón-Díaz, H. Jin +4

There is increasing evidence that single-star evolutionary models are inadequate to reproduce all observational properties of massive stars. Binary interaction has emerged as a key…

cs.LO20242 cited

Safe Composition of Systems of Communicating Finite State Machines

Franco Barbanera, Rolf Hennicker

The Participants-as-Interfaces (PaI) approach to system composition suggests that participants of a system may be viewed as interfaces. Given a set of systems,one participant per s…

cs.LG2024

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs

Chao Han, Debabrota Basu, Michael Mangan +2

Learning representations of underlying environmental dynamics from partial observations is a critical challenge in machine learning. In the context of Partially Observable Markov D…

cs.LG2024

CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks

Clemens Damke, Eyke Hüllermeier

In this work, we study the influence of domain-specific characteristics when defining a meaningful notion of predictive uncertainty on graph data. Previously, the so-called Graph P…

cs.LG202439 cited

A Fused Large Language Model for Predicting Startup Success

Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs

Investors are continuously seeking profitable investment opportunities in startups and, hence, for effective decision-making, need to predict a startup's probability of success. No…

astro-ph.SR202417 cited

X-Shooting ULLYSES: Massive stars at low metallicity. IV. Spectral analysis methods and exemplary results for O stars

A. A. C. Sander, J. -C. Bouret, M. Bernini-Peron +26

CONTEXT: The spectral analysis of hot, massive stars is a fundamental astrophysical method to obtain their intrinsic properties and their feedback. Quantitative spectroscopy for ho…