research
∙
05/05/2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
We describe a system for deep reinforcement learning of robotic manipula...
share
research
∙
04/19/2023
Designing a realistic peer-like embodied conversational agent for supporting children storytelling
Advances in artificial intelligence have facilitated the use of large la...
research
∙
02/26/2023
Learning Pairwise Interaction for Generalizable DeepFake Detection
A fast-paced development of DeepFake generation techniques challenge the...
research
∙
12/14/2022
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model
This paper presents a reconfigurable digital implementation of an event-...
research
∙
11/14/2022
Phenotype Detection in Real World Data via Online MixEHR Algorithm
Understanding patterns of diagnoses, medications, procedures, and labora...
research
∙
09/27/2022
When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake Detection
The accelerated growth in synthetic visual media generation and manipula...
research
∙
08/11/2022
A Comprehensive Analysis of AI Biases in DeepFake Detection With Massively Annotated Databases
In recent years, image and video manipulations with DeepFake have become...
research
∙
07/03/2022
Chat-to-Design: AI Assisted Personalized Fashion Design
In this demo, we present Chat-to-Design, a new multimodal interaction sy...
research
∙
04/10/2022
Big Tech Companies Impact on Research at the Faculty of Information Technology and Electrical Engineering
Artificial intelligence is gaining momentum, ongoing pandemic is fuel to...
research
∙
03/26/2022
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension
Question answering (QA) is a fundamental means to facilitate assessment ...
research
∙
02/13/2022
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
Despite its benefits for children's skill development and parent-child b...
research
∙
09/27/2021
An optimised deep spiking neural network architecture without gradients
We present an end-to-end trainable modular event-driven neural architect...
research
∙
09/08/2021
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset
Existing question answering (QA) datasets are created mainly for the app...
research
∙
07/29/2021
UIBert: Learning Generic Multimodal Representations for UI Understanding
To improve the accessibility of smart devices and to simplify their usag...
research
∙
07/09/2021
Multimodal Icon Annotation For Mobile Applications
Annotating user interfaces (UIs) that involves localization and classifi...
research
∙
03/22/2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
We introduce a grey-box adversarial attack and defence framework for sen...
research
∙
01/17/2021
Understanding in Artificial Intelligence
Current Artificial Intelligence (AI) methods, most based on deep learnin...
research
∙
12/22/2020
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
As mobile devices are becoming ubiquitous, regularly interacting with a ...
research
∙
09/01/2020
Bubble Storytelling with Automated Animation: A Brexit Hashtag Activism Case Study
Hashtag data are common and easy to acquire. Thus, they are widely used ...
research
∙
08/27/2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs
This paper presents GraphFederator, a novel approach to construct joint ...
research
∙
01/22/2020
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP
An adversarial example is an input transformed by small perturbations th...
research
∙
08/28/2019
Similarity Kernel and Clustering via Random Projection Forests
Similarity plays a fundamental role in many areas, including data mining...
research
∙
07/30/2019
Learning over inherently distributed data
The recent decades have seen a surge of interests in distributed computi...
research
∙
07/18/2019
Event-based Feature Extraction Using Adaptive Selection Thresholds
Unsupervised feature extraction algorithms form one of the most importan...
research
∙
09/03/2015
A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC
We present a neuromorphic Analogue-to-Digital Converter (ADC), which use...
research
∙
02/14/2011