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20082026
most citedUnderstanding the limits of LoRaWAN

1.5k citations

Showing 2021Show all

14 papers · 1 filter

cs.CV2021

Explainable, automated urban interventions to improve pedestrian and vehicle safety

Cristina Bustos, Daniel Rhoads, Albert Sole-Ribalta +4

At the moment, urban mobility research and governmental initiatives are mostly focused on motor-related issues, e.g. the problems of congestion and pollution. And yet, we can not d…

cs.CV2021★ 40 cited

A deep convolutional neural network for classification of Aedes albopictus mosquitoes

Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip

Monitoring the spread of disease-carrying mosquitoes is a first and necessary step to control severe diseases such as dengue, chikungunya, Zika or yellow fever. Previous citizen sc…

cs.CV2021★ 7 cited

On the use of uncertainty in classifying Aedes Albopictus mosquitoes

Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip

The re-emergence of mosquito-borne diseases (MBDs), which kill hundreds of thousands of people each year, has been attributed to increased human population, migration, and environm…

cs.NI2021★ 58 cited

Self-adaptive Architectures in IoT Systems: A Systematic Literature Review

Iván Alfonso, Kelly Garcés, Harold Castro +1

Over the past few years, the relevance of the Internet of Things (IoT) has grown significantly and is now a key component of many industrial processes and even a transparent partic…

cs.CV2021★ 3 cited

Interpreting Face Inference Models using Hierarchical Network Dissection

Divyang Teotia, Agata Lapedriza, Sarah Ostadabbas

This paper presents Hierarchical Network Dissection, a general pipeline to interpret the internal representation of face-centric inference models. Using a probabilistic formulation…

cs.CV2021

Recognizing Emotions evoked by Movies using Multitask Learning

Hassan Hayat, Carles Ventura, Agata Lapedriza

Understanding the emotional impact of movies has become important for affective movie analysis, ranking, and indexing. Methods for recognizing evoked emotions are usually trained o…