Ioannis Rallis

Ioannis Rallis
National Technical University of Athens | NTUA · Department of Rural Technology and Development

About

34
Publications
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163
Citations

Publications

Publications (34)
Conference Paper
Net promoter score (NPS) is a market research metric that measures customer's satisfaction and its analysis is combined with various parameters/drivers. The paper addresses a core problem in customer experience analytics which is related with the deeper understanding of the drivers of indices in NPS and defines the key drivers that are of utmost im...
Preprint
In Cultural Heritage, hyperspectral images are commonly used since they provide extended information regarding the optical properties of materials. Thus, the processing of such high-dimensional data becomes challenging from the perspective of machine learning techniques to be applied. In this paper, we propose a Rank-$R$ tensor-based learning model...
Article
Full-text available
European and International cities face crucial global geopolitical, economic, environmental, and other changes. All these intensify threats to and inequalities in citizens' health. The implementation of Blue-Green Solutions in urban and rural areas have been broadly used to tackle the above challenges. The Mobile health (mHealth) technologies contr...
Article
Full-text available
Citation: Temenos, A.; Tzortzis, I.; Kaselimi, M.; Rallis, I.; Doulamis, A.; Doulamis, N. Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing.
Chapter
The urban environment seems to affect the citizens’ health. The implementation of Blue-Green Solutions (BGS) in urban areas have been used to promote public health and citizens well-being. The aim of this paper is to present the development of an mHealth app for monitoring patients and citizens health status in areas where BGS will be applied. The...
Article
Full-text available
The current paper presents a novel method for reducing a multiclass confusion matrix intoa 2x2 version enabling the exploitation of the relevant performance metrics and methods such as the receiver operating characteristic and area under the curve for the assessment of different classification algorithms. The reduction method is based on class grou...
Chapter
Full-text available
This paper analyzes the architecture of an application programming interface (API) developed for a novel customer experience tool. The CX tool aims to monitor the customer satisfaction, based on several experience attributes and metrics, such as the Net Promoter Score. The API aims to create an efficient and user-friendly environment, which allow u...
Chapter
In this paper, we scrutinize the effectiveness of various clustering techniques, investigating their applicability in Cultural Heritage monitoring applications. In the context of this paper, we detect the level of decomposition and corrosion on the walls of Saint Nicholas fort in Rhodes utilizing hyperspectral images. A total of 6 different cluster...
Thesis
Full-text available
In performing arts, such as choreography, dance and theatrical kinesiology, movements of human body signals and gestures are essential elements used to describe a storyline in an aesthetic and symbolic way. Although, we, as humans, can inherently perceive and decipher such human body signals in a natural way, this process is challenging for a compu...
Preprint
Full-text available
In this paper, we scrutinize the effectiveness of various clustering techniques, investigating their applicability in Cultural Heritage monitoring applications. In the context of this paper, we detect the level of decomposition and corrosion on the walls of Saint Nicholas fort in Rhodes utilizing hyperspectral images. A total of 6 different cluster...
Article
Full-text available
Recently, several educational game platforms have been proposed in the literature for choreographic training. However, their main limitation is that they fail to provide a quantitative assessment framework of a performing choreography against a groundtruth one. In this paper, we address this issue by proposing a machine learning framework exploitin...
Article
Full-text available
Customer Experience (CX) is monitored through market research surveys, based on metrics like the Net Promoter Score (NPS) and the customer satisfaction for certain experience attributes (e.g., call center, website, billing, service quality, tariff plan). The objective of companies is to maximize NPS through the improvement of the most important CX...
Article
Full-text available
In this paper, a deep stacked auto-encoder (SAE) scheme followed by a hierarchical Sparse Modeling for Representative Selection (SMRS) algorithm is proposed to summarize dance video sequences, recorded using the VICON Motion capturing system. SAE's main task is to reduce the redundant information embedding in the raw data and, thus, to improve summ...
Conference Paper
In 2003, UNESCO emerges the convention for the safeguarding of Intangible Cultural Heritage (ICH) which is considered of equal importance as the tangible elements of cultural heritage (CH) and therefore wealthy for preservation and documentation. One of the most important domains of ICH is performing arts and especially folkloric dances. However, p...
Article
Full-text available
Choreographic modeling, that is identification of key choreographic primitives, is a significant element for Intangible Cultural Heritage (ICH) performing art modeling. Recently, deep learning architectures, such as LSTM and CNN, have been utilized for choreographic identification and modeling. However, such approaches present sensitivity to captur...
Chapter
Full-text available
Performing arts and in particular dance is one of the most important domains of Intangible Cultural Heritage. However, preserving, documenting, analyzing and visually understanding choreographic patterns is a challenging task due to technical difficulties it involves. A choreography is a time-varying 3D process (4D) including dynamic co-interaction...
Article
Full-text available
Analysis of human motion is a field of research that attracts significant interest because of the wide range of associated application domains. Intangible Cultural Heritage (ICH), including the performing arts and in particular dance, is one of the domains where related research is especially useful and challenging. Effective keyframe selection fro...
Chapter
Modelling and digitizing performing arts through motion capturing interfaces is an important aspect for the analysis, processing, and documentation of intangible cultural heritage assets. This chapter provides a holistic description regarding the dance preservation topic by describing the capture approaches, efficient preprocessing techniques, and...
Article
Full-text available
The convention for the safeguarding of Intangible Cultural Heritage (ICH) by UNESCO highlights the equal importance of intangible elements of cultural heritage to tangible ones. One of the most important domains of ICH is folkloric dances. A dance choreography is a time-varying 3D process (4D modelling), which includes dynamic co-interactions among...
Article
An important issue in performing dance analysis is the automatic extraction of its choreographic patterns, since these elements provide an abstract representation of the semantics of the dance and encode the overall dance storytelling. However, application of conventional video summarization algorithms on dance sequences cannot appropriately retrie...

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Projects

Projects (7)
Project
The EU-funded HEART project will develop an integrated approach to improve urban health and reduce health disparities. Specifically, it will design an innovative urban planning methodology that embraces and promotes policymaking for proper blue-green technologies with techniques aimed at changing individual behaviors. The project will test interventions on public health and well-being in three European cities: Belgrade, Aarhus and Athens. The findings will assist in urban regeneration designs and urban resilience planning. Link: https://www.heart-project.eu/
Project
Harmonia will provide a user-friendly tool to predict Climate Change effects in urban areas for policymakers, local administrations and citizens. In particular the project will: - develop a platform to help local policymakers and citizens understand the effects of CC - provide actionable data for smarter development strategies - generate opportunities for business growth and urban sustainability HARMONIA is a European Project funded within H2020-LC-CLA-2018-2019-2020 - under Grant Agreement No 101003517. website: http://harmonia-project.eu/ linkedin: https://www.linkedin.com/company/the-harmonia-project/ facebook: https://www.facebook.com/HarmoniaProject2021 twitter: https://twitter.com/ProjectHarmonia instagram: https://www.instagram.com/harmonia.h2020/ email: contact@harmonia-project.eu
Project
EDICULA “Educational Digital Innovative CUltural heritage related Learning Alliance” is a Strategic Partnership for Higher Education in Erasmus+. Strategic Partnerships aim to support the development, transfer and/or implementation of innovative practices at organizational, local, regional, national or European levels. Institutions of Higher Education work with others (other sector fields, enterprises, social partners etc.) to help to improve higher education across Europe and to deliver high quality education which is relevant to national and European labor market needs. This project has received funding from the European Union’s Erasmus+ under the Project Code: 2020-1-EL01-KA203-079108 http://edicula.eu/