Stefanos Kollias | DeepAI

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Featured Co-authors

Petros Daras
31 publications
Dimitrios Kollias
26 publications
Dimitrios Zarpalas
25 publications
Georgios Leontidis
23 publications
Shigang Yue
22 publications
Nikolaos Zioulis
21 publications
Yufei Huang
16 publications
Shengxiang Yang
11 publications
Marcus Kaiser
10 publications
Bowei Chen
10 publications
Pablo Cesar
9 publications

∙ 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...

0 Dimitrios Kollias, et al. ∙

∙ 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...

0 Dimitrios Kollias, et al. ∙

∙ 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...

0 Anargyros Chatzitofis, et al. ∙

∙ 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 ...

0 Anargyros Chatzitofis, et al. ∙

∙ 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...

0 Dimitrios Kollias, et al. ∙

∙ 05/01/2021

AI-enabled Efficient and Safe Food Supply Chain

This paper provides a review of an emerging field in the food processing...

11 Ilianna Kollia, et al. ∙

∙ 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...

10 Bashar Alhnaity, et al. ∙

∙ 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 ...

0 Georgios Tsatiris, et al. ∙

∙ 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 ...

12 Mamatha Thota, et al. ∙

∙ 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...

27 James Wingate, et al. ∙

∙ 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...

2 Bashar Alhnaity, et al. ∙

∙ 05/27/2019

Capsule Routing via Variational Bayes

Capsule Networks are a recently proposed alternative for constructing Ne...

0 Fabio De Sousa Ribeiro, et al. ∙

∙ 03/06/2019

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation

Dynamic multiobjective optimisation has gained increasing attention in r...

0 Shouyong Jiang, et al. ∙

∙ 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...

0 Ilianna Kollia, et al. ∙

∙ 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...

0 Fabio De Sousa Ribeiro, et al. ∙

∙ 08/04/2017

Combining guaranteed and spot markets in display advertising: selling guaranteed page views with stochastic demand

This paper proposes an optimal dynamic model for combining guaranteed an...

0 Bowei Chen, et al. ∙

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