b'Apple Inc'

research

∙ 04/20/2020

How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study

End-to-end trained convolutional neural networks have led to a breakthro...

D. B. de Jong, et al. ∙

research

∙ 07/26/2021

SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery

Access to high resolution satellite imagery has dramatically increased i...

Michael Thoreau, et al. ∙

research

∙ 12/19/2019

Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations

Recent success in Artificial Intelligence (AI) and Machine Learning (ML)...

Andreas Holzinger, et al. ∙

research

∙ 07/18/2021

Dynamic Convolution for 3D Point Cloud Instance Segmentation

We propose an approach to instance segmentation from 3D point clouds bas...

Tong He, et al. ∙

research

∙ 11/26/2013

Brains and pseudorandom generators

In a pioneering classic, Warren McCulloch and Walter Pitts proposed a mo...

Vašek Chvátal, et al. ∙

research

∙ 06/02/2017

Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks

While convolutional neural networks (CNNs) have been successfully applie...

Terry Taewoong Um, et al. ∙

research

∙ 10/09/2013

Duality in Graphical Models

Graphical models have proven to be powerful tools for representing high-...

Dhafer Malouche, et al. ∙

research

∙ 09/19/2010

Pair-Wise Cluster Analysis

This paper studies the problem of learning clusters which are consistent...

David R. Hardoon, et al. ∙

research

∙ 05/07/2004

A New Computational Framework For 2D Shape-Enclosing Contours

In this paper, a new framework for one-dimensional contour extraction fr...

B. R. Schlei, et al. ∙

research

∙ 02/22/2013

STEVE - Space-Time-Enclosing Volume Extraction

The novel STEVE (i.e., Space-Time-Enclosing Volume Extraction) algorithm...

B. R. Schlei, et al. ∙

research

∙ 11/01/2010

Volume-Enclosing Surface Extraction

In this paper we present a new method, which allows for the construction...

B. R. Schlei, et al. ∙

research

∙ 12/20/2017

Selfishness need not be bad

This article studies the user selfish behavior in non-atomic congestion ...

Wu Zijun, et al. ∙

research

∙ 10/02/2017

The Strategy of Experts for Repeated Predictions

We investigate the behavior of experts who seek to make predictions with...

Amir Ban, et al. ∙

research

∙ 07/28/2016

Overlay Secondary Spectrum Sharing with Independent Re-attempts in Cognitive Radios

Opportunistic spectrum access (OSA) is a promising reform paradigm envis...

Muthukrishnan Senthil Kumar, et al. ∙

research

∙ 01/08/2018

Web2Text: Deep Structured Boilerplate Removal

Web pages are a valuable source of information for many natural language...

Thijs Vogels, et al. ∙

research

∙ 01/23/2018

qrypt0 - encrypted short messages exchanged between offline computers

A system is described for exchanging encrypted short messages between co...

Andreas O. Bender, et al. ∙

research

∙ 04/26/2018

Using Machine Learning to Improve Cylindrical Algebraic Decomposition

Cylindrical Algebraic Decomposition (CAD) is a key tool in computational...

Zongyan Huang, et al. ∙

research

∙ 05/09/2018

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains

Blockchain is a novel technology that is rising a lot of interest in the...

Stefano De Angelis, et al. ∙

research

∙ 05/20/2018

Selfishness need not be bad: a general proof

This article studies the user behavior in non-atomic congestion games. W...

Zijun Wu, et al. ∙

research

∙ 08/19/2018

SABRE: Protecting Bitcoin against Routing Attacks

Routing attacks remain practically effective in the Internet today as ex...

Maria Apostolaki, et al. ∙

research

∙ 09/27/2018

Enabling FAIR Research in Earth Science through Research Objects

Data-intensive science communities are progressively adopting FAIR pract...

Andres Garcia-Silva, et al. ∙

research

∙ 12/21/2018

Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents

Artificial Intelligence (AI) technologies could be broadly categorised i...

Hussein Abbass, et al. ∙

research

∙ 12/28/2018

Rerandomization in 2^K Factorial Experiments

With many pretreatment covariates and treatment factors, the classical f...

Xinran Li, et al. ∙

research

∙ 02/01/2019

Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction

Crime events are known to reveal spatio-temporal patterns, which can be ...

Cristina Kadar, et al. ∙

research

∙ 02/18/2019

Mean and variance of first passage time in Markov chains with unknown parameters

There are known expressions to calculate the moments of the first passag...

Carlos Hernandez-Suarez, et al. ∙

research

∙ 04/15/2019

Semantic query-by-example speech search using visual grounding

A number of recent studies have started to investigate how speech system...

Herman Kamper, et al. ∙

research

∙ 05/10/2019

Nets and Reverse Mathematics, a pilot study

Nets are generalisations of sequences involving possibly uncountable ind...

Sam Sanders, et al. ∙

research

∙ 06/06/2019

A Bayesian approach for the analysis of error rate studies in forensic science

Over the past decade, the field of forensic science has received recomme...

Jessie Hendricks, et al. ∙

research

∙ 06/28/2019

Extending de Bruijn sequences to larger alphabets

A circular de Bruijn sequence of order n in an alphabet of k symbols is ...

Verónica Becher, et al. ∙

research

∙ 07/13/2019

Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations

Current practice for asteroid close proximity maneuvers requires extreme...

Brian Gaudet, et al. ∙

research

∙ 08/15/2019

Lifting recursive counterexamples to higher-order arithmetic

In classical computability theory, a recursive counterexample to a theor...

Sam Sanders, et al. ∙

research

∙ 08/15/2019

Lifting countable to uncountable mathematics

Ordinary, i.e.non-set theoretic mathematics is generally formalised in s...

Sam Sanders, et al. ∙

research

∙ 10/11/2019

Defence Against the Modern Arts: the Curse of Statistics "Score-based likelihood ratios"

For several decades, legal and scientific scholars have argued that conc...

Cedric Neumann, et al. ∙

research

∙ 11/16/2019

Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning

We optimize a six degrees of freedom hovering policy using reinforcement...

Brian Gaudet, et al. ∙

research

∙ 11/21/2019

JANOS: An Integrated Predictive and Prescriptive Modeling Framework

Business research practice is witnessing a surge in the integration of p...

David Bergman, et al. ∙

research

∙ 03/02/2020

Detecting and Characterizing Bots that Commit Code

Background: Some developer activity traditionally performed manually, su...

Tapajit Dey, et al. ∙

research

∙ 03/18/2020

A Dataset and an Approach for Identity Resolution of 38 Million Author IDs extracted from 2B Git Commits

The data collected from open source projects provide means to model larg...

Tanner Fry, et al. ∙

research

∙ 04/18/2020

Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop

We use Reinforcement Meta-Learning to optimize an adaptive integrated gu...

Brian Gaudet, et al. ∙

research

∙ 05/06/2020

Line Artefact Quantification in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularisation

In this paper, we present a novel method for line artefacts quantificati...

Oktay Karakuş, et al. ∙

research

∙ 05/20/2020

User Attention and Behaviour in Virtual Reality Art Encounter

With the proliferation of consumer virtual reality (VR) headsets and cre...

Mu Mu, et al. ∙

research

∙ 05/21/2020

Sequential Fundraising and Social Insurance

Seed fundraising for ventures often takes place by sequentially approach...

Amir Ban, et al. ∙

research

∙ 07/22/2020

Wide-scale assessment of cultural ecosystem services in coastal areas using graph theory on social media data

Cultural Ecosystem Services (CES) assessment at large scales is crucial ...

Silvia de Juan, et al. ∙

research

∙ 05/23/2021

Distancing interfaces – improvisational media architectures for place-based discourse under lockdown

The paper presents the case study of BERLIN_LOKAL_ZEIT, a collaborative ...

Dietmar Offenhuber, et al. ∙

research

∙ 05/29/2021

FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions

We propose a fully convolutional multi-person pose estimation framework ...

Weian Mao, et al. ∙

research

∙ 08/25/2021

Unsupervised Reservoir Computing for Solving Ordinary Differential Equations

There is a wave of interest in using unsupervised neural networks for so...

Marios Mattheakis, et al. ∙

research

∙ 09/03/2021

Betwixt Turing and Kleene

Turing's famous 'machine' model constitutes the first intuitively convin...

Dag Normann, et al. ∙

research

∙ 03/10/2022

Web Mining to Inform Locations of Charging Stations for Electric Vehicles

The availability of charging stations is an important factor for promoti...

Philipp Hummler, et al. ∙

research

∙ 04/04/2022

Improving Monocular Visual Odometry Using Learned Depth

Monocular visual odometry (VO) is an important task in robotics and comp...

Libo Sun, et al. ∙

research

∙ 05/27/2022

Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images

We present a simple yet effective fully convolutional one-stage 3D objec...

Zhi Tian, et al. ∙

research

∙ 06/25/2022

On the computational properties of the uncountability of the real numbers

The uncountability of the real numbers is one of their most basic proper...

Sam Sanders, et al. ∙

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