b'Google Inc'

research

∙ 11/25/2019

Invert to Learn to Invert

Iterative learning to infer approaches have become popular solvers for i...

Patrick Putzky, et al. ∙

research

∙ 08/12/2019

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

When reading medical images such as a computed tomography (CT) scan, rad...

Ke Yan, et al. ∙

research

∙ 02/04/2020

Determination of the relative inclination and the viewing angle of an interacting pair of galaxies using convolutional neural networks

Constructing dynamical models for interacting pair of galaxies as constr...

Prem Prakash, et al. ∙

research

∙ 01/05/2022

Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques

Compact stellar systems such as Ultra-compact dwarfs (UCDs) and Globular...

Mohammad Mohammadi, et al. ∙

research

∙ 09/10/2017

Applying ACO To Large Scale TSP Instances

Ant Colony Optimisation (ACO) is a well known metaheuristic that has pro...

Darren M. Chitty, et al. ∙

research

∙ 10/30/2017

PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection

Real-time, accurate, and robust pupil detection is an essential prerequi...

Wolfgang Fuhl, et al. ∙

research

∙ 09/09/2011

Learning Sequence Neighbourhood Metrics

Recurrent neural networks (RNNs) in combination with a pooling operator ...

Justin Bayer, et al. ∙

research

∙ 12/22/2016

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

While most approaches to semantic reasoning have focused on improving pe...

Marvin Teichmann, et al. ∙

research

∙ 05/26/2016

Predict or classify: The deceptive role of time-locking in brain signal classification

Several experimental studies claim to be able to predict the outcome of ...

Marco Rusconi, et al. ∙

research

∙ 11/17/2013

Towards a New Science of a Clinical Data Intelligence

In this paper we define Clinical Data Intelligence as the analysis of da...

Volker Tresp, et al. ∙

research

∙ 04/26/2012

Containment, Equivalence and Coreness from CSP to QCSP and beyond

The constraint satisfaction problem (CSP) and its quantified extensions,...

Florent Madelaine, et al. ∙

research

∙ 04/26/2012

Quantified Conditional Logics are Fragments of HOL

A semantic embedding of (constant domain) quantified conditional logic i...

Christoph Benzmueller, et al. ∙

research

∙ 09/29/2010

Kernel Bayes' rule

A nonparametric kernel-based method for realizing Bayes' rule is propose...

Kenji Fukumizu, et al. ∙

research

∙ 07/27/2017

Dealing with Rational Second Order Ordinary Differential Equations where both Darboux and Lie Find It Difficult: The S-function Method

Here we present a new approach to search for first order invariants (fir...

J. Avellar, et al. ∙

research

∙ 12/20/2017

Text Indexing and Searching in Sublinear Time

We introduce the first index that can be built in o(n) time for a text o...

J. Ian Munro, et al. ∙

research

∙ 07/01/2016

Probabilistic Programming and PyMC3

In recent years sports analytics has gotten more and more popular. We pr...

Peadar Coyle, et al. ∙

research

∙ 05/19/2018

Orthogonal Point Location and Rectangle Stabbing Queries in 3-d

In this work, we present a collection of new results on two fundamental ...

Timothy M. Chan, et al. ∙

research

∙ 06/20/2018

Weighted Abstract Dialectical Frameworks: Extended and Revised Report

Abstract Dialectical Frameworks (ADFs) generalize Dung's argumentation f...

Gerhard Brewka, et al. ∙

research

∙ 06/27/2018

Dynamic Trees with Almost-Optimal Access Cost

An optimal binary search tree for an access sequence on elements is a st...

Mordecai Golin, et al. ∙

research

∙ 09/10/2018

Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search

Urban traffic scenarios often require a high degree of cooperation betwe...

Karl Kurzer, et al. ∙

research

∙ 09/19/2018

Exploiting Tournament Selection for Efficient Parallel Genetic Programming

Genetic Programming (GP) is a computationally intensive technique which ...

Darren M. Chitty, et al. ∙

research

∙ 09/29/2018

Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds: Theory and experiments

This paper considers a collaborative tracking control problem using a gr...

Zhiyong Sun, et al. ∙

research

∙ 01/14/2019

The Design and Deployment of an End-to-end IoT Infrastructure for the Natural Environment

Internet of Things (IoT) systems have seen recent growth in popularity f...

Vatsala Nundloll, et al. ∙

research

∙ 03/15/2019

Dynamic Planar Point Location in External Memory

In this paper we describe a fully-dynamic data structure for the planar ...

J. Ian Munro, et al. ∙

research

∙ 03/16/2019

Token Swapping on Trees

The input to the token swapping problem is a graph with vertices v_1, v_...

Ahmad Biniaz, et al. ∙

research

∙ 05/06/2019

Partitioning sparse graphs into an independent set and a graph with bounded size components

We study the problem of partitioning the vertex set of a given graph so ...

Ilkyoo Choi, et al. ∙

research

∙ 05/07/2019

Orthogonal Range Reporting and Rectangle Stabbing for Fat Rectangles

In this paper we study two geometric data structure problems in the spec...

Timothy M. Chan, et al. ∙

research

∙ 05/20/2019

Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems

Taking inspiration from nature for meta-heuristics has proven popular an...

Darren M. Chitty, et al. ∙

research

∙ 05/27/2019

FairSearch: A Tool For Fairness in Ranked Search Results

Ranked search results and recommendations have become the main mechanism...

Meike Zehlike, et al. ∙

research

∙ 02/07/2020

Views on Quality Requirements in Academia and Practice: Commonalities, Differences, and Context-Dependent Grey Areas

Context: Quality requirements (QRs) are a topic of constant discussions ...

Andreas Vogelsang, et al. ∙

research

∙ 03/15/2020

Four-Dimensional Dominance Range Reporting in Linear Space

In this paper we study the four-dimensional dominance range reporting pr...

Yakov Nekrich, et al. ∙

research

∙ 03/25/2020

Further Results on Colored Range Searching

We present a number of new results about range searching for colored (or...

Timothy M. Chan, et al. ∙

research

∙ 04/07/2020

Windowing Models for Abstractive Summarization of Long Texts

Neural summarization models suffer from the fixed-size input limitation:...

Leon Schüller, et al. ∙

research

∙ 06/17/2020

Categorical Normalizing Flows via Continuous Transformations

Despite their popularity, to date, the application of normalizing flows ...

Phillip Lippe, et al. ∙

research

∙ 07/09/2020

Serverless Electronic Mail

We describe a simple approach to peer-to-peer electronic mail that would...

Geoffrey Goodell, et al. ∙

research

∙ 07/21/2020

New Data Structures for Orthogonal Range Reporting and Range Minima Queries

In this paper we present new data structures for two extensively studied...

Yakov Nekrich, et al. ∙

research

∙ 04/15/2021

Assessment of deep learning based blood pressure prediction from PPG and rPPG signals

Exploiting photoplethysmography signals (PPG) for non-invasive blood pre...

Fabian Schrumpf, et al. ∙

research

∙ 07/19/2021

Time-adaptive high-order compact finite difference schemes for option pricing in a family of stochastic volatility models

We propose a time-adaptive, high-order compact finite difference scheme ...

Bertram Düring, et al. ∙

research

∙ 08/19/2021

How Hateful are Movies? A Study and Prediction on Movie Subtitles

In this research, we investigate techniques to detect hate speech in mov...

Niklas von Boguszewski, et al. ∙

research

∙ 10/29/2021

Neyman-Pearson lemma for Bayes factors

We point out that the Neyman-Pearson lemma applies to Bayes factors if w...

Andrew Fowlie, et al. ∙

research

∙ 11/16/2021

Automatically detecting anomalous exoplanet transits

Raw light curve data from exoplanet transits is too complex to naively a...

Christoph J. Hönes, et al. ∙

research

∙ 02/23/2022

LUCE: A Blockchain-based data sharing platform for monitoring data license accountability and compliance

Easy access to data is one of the main avenues to accelerate scientific ...

Visara Urovi, et al. ∙

research

∙ 05/26/2022

Flexible Group Fairness Metrics for Survival Analysis

Algorithmic fairness is an increasingly important field concerned with d...

Raphael Sonabend, et al. ∙

research

∙ 06/14/2022

A new algorithm for structural restrictions in Bayesian vector autoregressions

A comprehensive methodology for inference in vector autoregressions (VAR...

Dimitris Korobilis, et al. ∙

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