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03/01/2023
A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging
Harmonizing the analysis of data, especially of 3-D image volumes, consi...
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06/09/2022
AI-MIA: COVID-19 Detection Severity Analysis through Medical Imaging
This paper presents the baseline approach for the organized 2nd Covid-19...
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10/14/2021
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
In this paper, a marker-based, single-person optical motion capture meth...
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10/14/2021
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a ...
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06/14/2021
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can as...
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05/01/2021
AI-enabled Efficient and Safe Food Supply Chain
This paper provides a review of an emerging field in the food processing...
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12/07/2020
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth
Multi-step prediction is considered of major significance for time serie...
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12/01/2020
A compact sequence encoding scheme for online human activity recognition in HRI applications
Human activity recognition and analysis has always been one of the most ...
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01/28/2020
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
Retail food packaging contains information which informs choice and can ...
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11/25/2019
A Unified Deep Learning Approach for Prediction of Parkinson's Disease
The paper presents a novel approach, based on deep learning, for diagnos...
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07/01/2019
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments
Effective plant growth and yield prediction is an essential task for gre...
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05/27/2019
Capsule Routing via Variational Bayes
Capsule Networks are a recently proposed alternative for constructing Ne...
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03/06/2019
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation
Dynamic multiobjective optimisation has gained increasing attention in r...
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01/23/2019
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks
This paper presents a new method for medical diagnosis of neurodegenerat...
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07/26/2018
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
This paper proposes the first step towards a novel unified framework for...
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08/04/2017