City, University of London

∙ London , United Kingdom ∙ 0 followers

City, University of London is a leading global university committed to academic excellence, focused on business and the professions and located in the heart of London, UK.

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective

Neural-symbolic computing has now become the subject of interest of both...
02/29/2020 ∙ by Luis Lamb, et al. ∙ 69 ∙ share

read it
Making Good on LSTMs Unfulfilled Promise

LSTMs promise much to financial time-series analysis, temporal and cross...
11/11/2019 ∙ by Daniel Philps, et al. ∙ 24 ∙ share

read it
Continuous Learning Augmented Investment Decisions

Investment decisions can benefit from incorporating an accumulated knowl...
12/06/2018 ∙ by Daniel Philps, et al. ∙ 18 ∙ share

read it
Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos

We introduce a method for transferring style from the logos of heavy met...
01/10/2020 ∙ by Aram Ter-Sarkisov, et al. ∙ 13 ∙ share

read it
Layerwise Knowledge Extraction from Deep Convolutional Networks

Knowledge extraction is used to convert neural networks into symbolic de...
03/19/2020 ∙ by Simon Odense, et al. ∙ 8 ∙ share

read it
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

Current advances in Artificial Intelligence and machine learning in gene...
05/15/2019 ∙ by Artur d'Avila Garcez, et al. ∙ 3 ∙ share

read it
Correcting Knowledge Base Assertions

The usefulness and usability of knowledge bases (KBs) is often limited b...
01/19/2020 ∙ by Jiaoyan Chen, et al. ∙ 3 ∙ share

read it
Measurable Counterfactual Local Explanations for Any Classifier

We propose a novel method for explaining the predictions of any classifi...
08/08/2019 ∙ by Adam White, et al. ∙ 2 ∙ share

read it
The Recurrent Temporal Discriminative Restricted Boltzmann Machines

The recurrent temporal restricted Boltzmann machine (RTRBM) has been suc...
10/06/2017 ∙ by Son N. Tran, et al. ∙ 0 ∙ share

read it
Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge

We propose Logic Tensor Networks: a uniform framework for integrating au...
06/14/2016 ∙ by Luciano Serafini, et al. ∙ 0 ∙ share

read it
Logic Tensor Networks for Semantic Image Interpretation

Semantic Image Interpretation (SII) is the task of extracting structured...
05/24/2017 ∙ by Ivan Donadello, et al. ∙ 0 ∙ share

read it
Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples

This article aims to achieve two goals: to show that probability is not ...
01/18/2017 ∙ by Tarek R. Besold, et al. ∙ 0 ∙ share

read it
Deep De-Aliasing for Fast Compressive Sensing MRI

Fast Magnetic Resonance Imaging (MRI) is highly in demand for many clini...
05/19/2017 ∙ by Simiao Yu, et al. ∙ 0 ∙ share

read it
Well-Founded Argumentation Semantics for Extended Logic Programming

This paper defines an argumentation semantics for extended logic program...
07/10/2002 ∙ by Ralf Schweimeier, et al. ∙ 0 ∙ share

read it
Revisited Experimental Comparison of Node-Link and Matrix Representations

Visualizing network data is applicable in domains such as biology, engin...
08/31/2017 ∙ by Mershack Okoe, et al. ∙ 0 ∙ share

read it
The Emergence of Consensus: A Primer

The origin of population-scale coordination has puzzled philosophers and...
04/25/2017 ∙ by Andrea Baronchelli, et al. ∙ 0 ∙ share

read it
Mitigating CSRF attacks on OAuth 2.0 and OpenID Connect

Many millions of users routinely use their Google, Facebook and Microsof...
01/24/2018 ∙ by Wanpeng Li, et al. ∙ 0 ∙ share

read it
Towards Symbolic Reinforcement Learning with Common Sense

Deep Reinforcement Learning (deep RL) has made several breakthroughs in ...
04/23/2018 ∙ by Artur d'Avila Garcez, et al. ∙ 0 ∙ share

read it
Undecidability of MSO+"ultimately periodic"

We prove that MSO on ω-words becomes undecidable if allowing to quantify...
07/23/2018 ∙ by Mikołaj Bojańczyk, et al. ∙ 0 ∙ share

read it
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments

In this paper, we present a novel neural network architecture for retina...
11/19/2018 ∙ by Tim Laibacher, et al. ∙ 0 ∙ share

read it
Improved Speech Enhancement with the Wave-U-Net

We study the use of the Wave-U-Net architecture for speech enhancement, ...
11/27/2018 ∙ by Craig Macartney, et al. ∙ 0 ∙ share

read it
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations

Basic binary relations such as equality and inequality are fundamental t...
12/04/2018 ∙ by Tillman Weyde, et al. ∙ 0 ∙ share

read it
Modelling Identity Rules with Neural Networks

In this paper, we show that standard feed-forward and recurrent neural n...
12/06/2018 ∙ by Tillman Weyde, et al. ∙ 0 ∙ share

read it
Continual Learning Augmented Investment Decisions

Investment decisions can benefit from incorporating an accumulated knowl...
12/06/2018 ∙ by Daniel Philps, et al. ∙ 0 ∙ share

read it
Progressive Data Science: Potential and Challenges

Data science requires time-consuming iterative manual activities. In par...
12/19/2018 ∙ by Cagatay Turkay, et al. ∙ 0 ∙ share

read it
OAuthGuard: Protecting User Security and Privacy with OAuth 2.0 and OpenID Connect

Millions of users routinely use Google to log in to websites supporting ...
01/24/2019 ∙ by Wanpeng Li, et al. ∙ 0 ∙ share

read it
Geometric Multicut

We study the following separation problem: Given a collection of colored...
02/11/2019 ∙ by Mikkel Abrahamsen, et al. ∙ 0 ∙ share

read it
Constrained Mutual Convex Cone Method for Image Set Based Recognition

In this paper, we propose a method for image-set classification based on...
03/14/2019 ∙ by Naoya Sogi, et al. ∙ 0 ∙ share

read it
Continuous chain-ladder with paid data

We introduce a model where iid payments generate the traditional paid ru...
04/02/2019 ∙ by Stephan M. Bischofberger, et al. ∙ 0 ∙ share

read it
Non-Smooth Backfitting for Excess Risk Additive Regression Model with Two Survival Time-Scales

We present a new backfitting algorithm estimating the complex structured...
04/02/2019 ∙ by Munir Hiabu, et al. ∙ 0 ∙ share

read it
Non-Parametric Estimation of Spot Covariance Matrix with High-Frequency Data

Estimating spot covariance is an important issue to study, especially wi...
05/20/2019 ∙ by Konul Mustafayeva, et al. ∙ 0 ∙ share

read it
Factors for the Generalisation of Identity Relations by Neural Networks

Many researchers implicitly assume that neural networks learn relations ...
06/13/2019 ∙ by Radha Kopparti, et al. ∙ 0 ∙ share

read it
Efficient predicate invention using shared "NeMuS"

Amao is a cognitive agent framework that tackles the invention of predic...
06/15/2019 ∙ by Edjard Mota, et al. ∙ 0 ∙ share

read it
An Ontology-based Approach to Explaining Artificial Neural Networks

Explainability in Artificial Intelligence has been revived as a topic of...
06/19/2019 ∙ by Roberto Confalonieri, et al. ∙ 0 ∙ share

read it
A Framework for Multiaccess Support for Unreliable Internet Traffic using Multipath DCCP

Mobile nodes are typically equipped with multiple radios and can connect...
07/10/2019 ∙ by Markus Amend, et al. ∙ 0 ∙ share

read it
Criteria for Rigor in Visualization Design Study

We develop a new perspective on research conducted through visualization...
07/19/2019 ∙ by Miriah Meyer, et al. ∙ 0 ∙ share

read it
Design by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations

While previous work exists on how to conduct and disseminate insights fr...
08/01/2019 ∙ by Kyle Wm. Hall, et al. ∙ 0 ∙ share

read it
Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing

There is an urgent societal need to assess whether autonomous vehicles (...
08/19/2019 ∙ by Xingyu Zhao, et al. ∙ 0 ∙ share

read it
Words of Estimative Correlation: Studying Verbalizations of Scatterplots

Multimodal approaches where interactive visualization and natural langua...
11/28/2019 ∙ by Rafael Henkin, et al. ∙ 0 ∙ share

read it
Weight Priors for Learning Identity Relations

Learning abstract and systematic relations has been an open issue in neu...
03/06/2020 ∙ by Kopparti Radha, et al. ∙ 0 ∙ share

read it
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals

Robustness against temporal variations is important for emotion recognit...
03/06/2020 ∙ by Eric Guizzo, et al. ∙ 0 ∙ share

read it
Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Large ontologies still pose serious challenges to state-of-the-art ontol...
02/25/2020 ∙ by Ernesto Jiménez-Ruiz, et al. ∙ 0 ∙ share

read it
Detection of Pitt-Hopkins Syndrome based on morphological facial features

This work describes an automatic methodology to discriminate between ind...
03/18/2020 ∙ by Elena D'Amato, et al. ∙ 0 ∙ share

read it
The Strahler number of a parity game

The Strahler number of a rooted tree is the largest height of a perfect ...
03/19/2020 ∙ by Laure Daviaud, et al. ∙ 0 ∙ share

read it
Scalar Product Lattice Computation for Efficient Privacy-preserving Systems

Privacy-preserving applications allow users to perform on-line daily act...
04/04/2020 ∙ by Yogachandran Rahulamathavan, et al. ∙ 0 ∙ share

read it
Blissful Ignorance: Anti-Transfer Learning for Task Invariance

We introduce the novel concept of anti-transfer learning for neural netw...
06/11/2020 ∙ by Eric Guizzo, et al. ∙ 0 ∙ share

read it
The COVID-19 online shadow economy

The COVID-19 pandemic has reshaped the demand for goods and services wor...
08/04/2020 ∙ by Alberto Bracci, et al. ∙ 0 ∙ share

read it
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data

In this paper, a deep reinforcement learning (DRL) method is proposed to...
08/06/2020 ∙ by Lei He, et al. ∙ 0 ∙ share

read it

City, University of London

Featured Researchers