output
20042026
most citedResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

2.2k citations

Showing 2017Show all

69 papers · 1 filter

cs.NI2017

On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks with NLoS and LoS Transmissions

Bin Yang, Guoqiang Mao, Xiaohu Ge +2

We investigate network performance of ultra-dense heterogeneous networks (HetNets) and study the maximum energy-efficient base station (BS) deployment incorporating probabilistic n…

cs.CR2017★ 483 cited

LSB: A Lightweight Scalable BlockChain for IoT Security and Privacy

Ali Dorri, Salil S. Kanhere, Raja Jurdak +1

BlockChain (BC) has attracted tremendous attention due to its immutable nature and the associated security and privacy benefits. BC has the potential to overcome security and priva…

stat.CO2017★ 52 cited

Fast and stable multivariate kernel density estimation by fast sum updating

Nicolas Langrené, Xavier Warin

Kernel density estimation and kernel regression are powerful but computationally expensive techniques: a direct evaluation of kernel density estimates at evaluation points give…

cs.GT2017★ 22 cited

Proportionally Representative Participatory Budgeting: Axioms and Algorithms

Haris Aziz, Barton Lee, Nimrod Talmon

Participatory budgeting is one of the exciting developments in deliberative grassroots democracy. We concentrate on approval elections and propose proportional representation axiom…

cs.IT2017★ 9 cited

Structural Characteristics of Two-Sender Index Coding

Chandra Thapa, Lawrence Ong, Sarah J. Johnson +1

This paper studies index coding with two senders. In this setup, source messages are distributed among the senders possibly with common messages. In addition, there are multiple re…

cs.SI2017★ 91 cited

SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations

Marian-Andrei Rizoiu, Swapnil Mishra, Quyu Kong +2

Among the statistical tools for online information diffusion modeling, both epidemic models and Hawkes point processes are popular choices. The former originate from epidemiology,…