output
20142026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

Showing 2021Show all

12 papers · 1 filter

math.DS2021★ 12 cited

Controlling coexisting attractors of a class of non-autonomous dynamical systems

Zhi Zhang, Joseph Páez Chávez, Jan Sieber +1

This paper studies a control method for switching stable coexisting attractors of a class of non-autonomous dynamical systems. The central idea is to introduce a continuous path fo…

cs.CV2021★ 10 cited

Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis

Marco Aurélio Granero, Cristhian Xavier Hernández, Marcos Eduardo Valle

The field of neural networks has seen significant advances in recent years with the development of deep and convolutional neural networks. Although many of the current works addres…

cs.CV2021★ 164 cited

Dense Extreme Inception Network for Edge Detection

Xavier Soria, Angel Sappa, Patricio Humanante +1

<<<This is a pre-acceptance version, please, go through Pattern Recognition Journal on Sciencedirect to read the final version>>>. Edge detection is the basis of many computer visi…

cs.IT2021★ 16 cited

Energy Efficiency of Uplink Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channel

Thomas Choi, Masaaki Ito, Issei Kanno +5

Cell-free massive MIMO (CF-mMIMO) provides wireless connectivity for a large number of user equipments (UEs) using access points (APs) distributed across a wide area with high spec…

cond-mat.mes-hall2021★ 5 cited

Emergence of Floquet edge states in the coupled Su-Schrieffer-Heeger model

Carla Borja, Esther Gutiérrez, Alexander López

The emergence of non equilibrium topological phases in low dimensional systems offers an interesting route for material properties engineering. We analyze the dynamical modulation…

stat.ME2021

Spatial Censored Regression Models in R: The CensSpatial package

Jose A. Ordonez, Christian E. Galarza, Victor H. Lachos

CensSpatial is an R package for analyzing spatial censored data through linear models. It offers a set of tools for simulating, estimating, making predictions, and performing local…

stat.ME2021

Censored autoregressive regression models with Student- innovations

Katherine A. L. Valeriano, Fernanda L. Schumacher, Christian E. Galarza +1

The Student- distribution is widely used in statistical modeling of datasets involving outliers since its longer-than-normal tails provide a robust approach to hand such data. F…

cond-mat.mes-hall2021★ 21 cited

Tuneable spin injection in high-quality graphene with one-dimensional contacts

Victor H. Guarochico-Moreira, Jose L. Sambricio, Khalid Omari +8

Spintronics involves the development of low-dimensional electronic systems with potential use in quantum-based computation. In graphene, there has been significant progress in impr…

math.PR2021

Blow-up for a non-linear stable non-Gaussian process in fractional time

S. Solís, V. Vergara

The behaviour of solutions for a non-linear diffusion problem is studied. A subordination principle is applied to obtain the variation of parameters formula in the sense of Volterr…

eess.IV2021★ 16 cited

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…

cond-mat.mes-hall2021★ 5 cited

Enhanced spin injection in molecularly functionalized graphene via ultra-thin oxide barriers

J. C. Toscano-Figueroa, N. Natera-Cordero, D. A. Bandurin +4

Realisation of practical spintronic devices relies on the ability to create and detect pure spin currents. In graphene-based spin valves this is usually achieved by injection of sp…

cs.CY2021★ 3 cited

An Analysis of Distributed Systems Syllabi With a Focus on Performance-Related Topics

Cristina L. Abad, Alexandru Iosup, Edwin F. Boza +1

We analyze a dataset of 51 current (2019-2020) Distributed Systems syllabi from top Computer Science programs, focusing on finding the prevalence and context in which topics relate…