254 citations
- Bielefeld UniversityDE28 papers
- Centro de Ciências MatemáticasPT28 papers
- University of LisbonPT20 papers
- Washington University in St. LouisUS17 papers
- Kurchatov InstituteRU13 papers
- Petersburg Nuclear Physics InstituteRU10 papers
- University of KaiserslauternDE10 papers
- Universidade AbertaPT9 papers
- Moscow Institute of Physics and TechnologyRU8 papers
- Clark Atlanta UniversityUS7 papers
- Instituto Superior TécnicoPT7 papers
- Centro de Investigação de Matemática e AplicaçõesPT6 papers
119 papers
From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change
Yuri Almeida, Arthur Casals
This paper presents a targeted narrative review establishing the historical and theoretical foundations for computational belief change implementation. Seeded by Doyle and London's…
Product units in gated recurrent units improve nuclear-mass prediction
Ziyuan Li, Paulo S. A. Freitas, John W. Clark +1
The prediction of masses of atomic nuclei using machine learning can complement theoretical models and advance the exploration of poorly known domains of the nuclear chart. We prop…
Axiomatics of Restricted Choices by Linear Orders of Sets with Minimum as Fallback
Kai Sauerwald, Kenneth Skiba, Eduardo Fermé +1
We study how linear orders can be employed to realise choice functions for which the set of potential choices is restricted, i.e., the possible choice is not possible among the ful…
Momentum Space Feynman Integral for the Bound State Aharonov-Bohm Effect
Alviu Rey Nasir, Jingle Magallanes, Herry Pribawanto Suryawan +1
We construct the Feynman integral for the Schrödinger propagator in the polar conjugate momentum space, which describes the bound state Aharonov-Bohm effect, as a well-defined whit…
Primordial Intermediate and Supermassive Black Hole formation during the electron-positron annihilation epoch
J. L. G. Sobrinho, P. Augusto
Some of the Intermediate Mass Black Hole (IMBH) candidates observed at the center of galaxies or in globular clusters and some of the Supermassive Black Holes (SMBHs) seen at the c…
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy
Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley +2
We developed a transparent computational large-scale imaging-based framework that can distinguish between normal and metastasizing human cells. The method relies on fluorescence mi…