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Jan 15, 2021
Machine Learning
Computer Vision

Counterfactual Generative Networks

Neural networks are prone to learning shortcuts -- they often model simple correlations, ignoring more complex ones that potentially generalize bette…
Jan 14, 2021
Computer Vision
Machine Learning
Image and Video Processing

DeFlow: Learning Complex Image Degradations from Unpaired Data with …

The difficulty of obtaining paired data remains a major bottleneck for learning image restoration and enhancement models for real-world applications.…
Jan 14, 2021
Machine Learning

A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines

Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding res…
Jan 14, 2021
Computer Vision

U-Noise: Learnable Noise Masks for Interpretable Image Segmentation

Deep Neural Networks (DNNs) are widely used for decision making in a myriad of critical applications, ranging from medical to societal and even judic…
Jan 14, 2021
Computation and Language
Machine Learning

Persistent Anti-Muslim Bias in Large Language Models

It has been observed that large-scale language models capture undesirable societal biases, e.g. relating to race and gender; yet religious bias has b…
Jan 14, 2021
Cryptography and Security
Machine Learning

Time-Based CAN Intrusion Detection Benchmark

Modern vehicles are complex cyber-physical systems made of hundreds of electronic control units (ECUs) that communicate over controller area networks…
Jan 14, 2021
Machine Learning
Computation and Language

Structured Prediction as Translation between Augmented Natural Langua…

We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including join…
Jan 14, 2021
Machine Learning
Computer Vision

Topological Deep Learning

This work introduces the Topological CNN (TCNN), which encompasses several topologically defined convolutional methods. Manifolds with important rela…
Jan 14, 2021
Machine Learning

$\text{O}^2$PF: Oversampling via Optimum-Path Forest for Breast Cance…

Breast cancer is among the most deadly diseases, distressing mostly women worldwide. Although traditional methods for detection have presented themse…
Jan 14, 2021
Methodology
Machine Learning

Agglomerative Hierarchical Clustering for Selecting Valid Instrumenta…

We propose an instrumental variable (IV) selection procedure which combines the agglomerative hierarchical clustering method and the Hansen-Sargan ov…
Jan 14, 2021
Human-Computer Interaction

Ajalon: Simplifying the Authoring of Wearable Cognitive Assistants

Wearable Cognitive Assistance (WCA) amplifies human cognition in real time through a wearable device and low-latency wireless access to edge computin…
Jan 14, 2021
Computer Vision

Stereo camera system calibration: the need of two sets of parameters

The reconstruction of a scene via a stereo-camera system is a two-steps process, where at first images from different cameras are matched to identify…
Jan 14, 2021
Human-Computer Interaction
Artificial Intelligence

Automating Gamification Personalization: To the User and Beyond

Personalized gamification explores knowledge about the users to tailor gamification designs to improve one-size-fits-all gamification. The tailoring …
Jan 14, 2021
Robotics
Systems and Control

Rule-based Optimal Control for Autonomous Driving

We develop optimal control strategies for Autonomous Vehicles (AVs) that are required to meet complex specifications imposed by traffic laws and cult…
Jan 14, 2021
Human-Computer Interaction

Recognizing that mixed-ability digital play remains rare, we sought to explore a different approach to game design that caters for different abilities. We created prototypes of games in which there’s a complete asymmetry in the gameplay design based…

Exploring Asymmetric Roles in Mixed-Ability Gaming

The landscape of digital games is segregated by player ability. For example, sighted players have a multitude of highly visual games at their disposa…
Jan 14, 2021
Computation and Language

TUDublin team at Constraint@AAAI2021 -- COVID19 Fake News Detection

The paper is devoted to the participation of the TUDublin team in Constraint@AAAI2021 - COVID19 Fake News Detection Challenge. Today, the problem of …
Jan 14, 2021
Robotics
Artificial Intelligence
Discrete Mathematics
Multiagent Systems

This work has been partially supported by the “E-Logistics” project funded by the French Agency for Environment and Energy Management (ADEME) and by the “AGRIFLEETS” project funded by the French National Research Agency (ANR) and by the STSM Grant f…

Spillover Algorithm: A Decentralized Coordination Approach for Mult…

Open and shared manufacturing factories typically dispose of a limited number of robots that should be properly allocated to tasks in time and space …
Jan 14, 2021
Social and Information Networks
Machine Learning
Physics and Society

Signal Processing on Higher-Order Networks: Livin' on the Edge ... an…

This tutorial paper presents a didactic treatment of the emerging topic of signal processing on higher-order networks. Drawing analogies from discret…
Jan 14, 2021
Machine Learning

Reliability Check via Weight Similarity in Privacy-Preserving Multi…

Multi-party machine learning is a paradigm in which multiple participants collaboratively train a machine learning model to achieve a common learning…
Jan 14, 2021
Computation and Language
Machine Learning

ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge an…

Social media platforms are vulnerable to fake news dissemination, which causes negative consequences such as panic and wrong medication in the health…
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