A5101468786- Data Management and Algorithms
- Network Security and Intrusion Detection
- Natural Language Processing Techniques
- Advanced Malware Detection Techniques
- Topic Modeling
- Scientific Computing and Data Management
- Data Mining Algorithms and Applications
- Biomedical Text Mining and Ontologies
- Data Quality and Management
- Time Series Analysis and Forecasting
- Research Data Management Practices
- Text Readability and Simplification
- Internet Traffic Analysis and Secure E-voting
- Advanced Database Systems and Queries
- Software-Defined Networks and 5G
- Data Stream Mining Techniques
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Energy Efficient Wireless Sensor Networks
- Semantic Web and Ontologies
- Gene expression and cancer classification
- Smart Grid Security and Resilience
- Sports Performance and Training
- Human Mobility and Location-Based Analysis
- Open Source Software Innovations
National and Kapodistrian University of Athens
2023-2024
Innovative Technologies Center (Greece)
2017-2022
Technical University of Crete
2020-2022
Democritus University of Thrace
2021
Hellenic Military Academy
2020
Hong Kong University of Science and Technology
2017
Itrust Consulting
2017
Senologic Hellenic Society
2013
Charles University
2012
Scunthorpe General Hospital
2012
Sample size estimation is critical in clinical trials. A sample of adequate can provide insights into a given population, but the collection substantial amounts data costly and time-intensive. The aim this study was to introduce novel augmentation approach field trials by employing variational autoencoders (VAEs). Several forms VAEs were developed used for generation virtual subjects. Various types explored employed production individuals, several different scenarios investigated....
Sensor networks have recently attracted much attention, because of their potential applications in a number different settings. The sensors can be deployed large numbers wide geographical areas, and used to monitor physical phenomena, or detect certain events.An interesting problem which has not been adequately addressed so far is that distributed online deviation detection streaming data. identification deviating values provides an efficient way focus on the events sensor network.In this...
Sample size is a key factor in bioequivalence and clinical trials. An appropriately large sample necessary to gain valuable insights into designated population. However, sizes lead increased human exposure, costs, longer time for completion. In previous study, we introduced the idea of using variational autoencoders (VAEs), type artificial neural network, synthetically create studies. this work, further elaborate on expand it field (BE) A computational methodology was developed, combining...
SHIELD is an EU-funded project, targeting at the design and development of a novel cybersecurity framework, which offers security-as-a-Service in evolved telco environment. The framework leverages NFV (Network Functions Virtualization) SDN (Software-Defined Networking) for virtualization dynamic placement virtualised security appliances network (virtual Network Security - vNSFs), Big Data analytics real-time incident detection mitigation, as well attestation techniques securing both...
We present a method to index objects moving on the plane in order efficiently answer range queries about their position future. This problem is motivated by real-life applications, like predicting future congestion areas highway system, or allocating more bandwidth for where high concentration of mobile phones imminent. consider external memory model computation and dynamic technique. An experimental evaluation included that shows applicability our method.
The usefulness of automated information extraction tools in generating structured knowledge from unstructured and semi-structured machine-readable documents is limited by challenges related to the variety intricacy targeted entities, complex linguistic features heterogeneous corpora, computational availability for readily scaling large amounts text. In this paper, we argue that redundancy ambiguity subject–predicate–object (SPO) triples open systems has be treated as an equally important...
A full-fledged data exploration system must combine different access modalities with a powerful concept of guiding the user in process, by being reactive and anticipative both for discovery linking. Such systems are real opportunity our community to cater users domain science expertise. We introduce INODE - an end-to-end that leverages, on one hand, Machine Learning and, other semantics purpose Data Management (DM). Our vision is develop classic unified, comprehensive platform provides...
Querying both structured and unstructured data via a single common query interface such as SQL or natural language has been long standing research goal. Moreover, methods for extracting information from become ever more powerful, the desire to integrate output of extraction processes with "clean", grows. We are convinced that successful integration into databases, extracted in form "triples" needs be (1) high quality (2) have necessary generality link up varying forms data. It is combination...
The rapid growth of the Internet Things and proliferation easily compromisable IoT devices has led to a drastic increase in occurrence IoT-based botnet attacks. Hackers are keen on exploiting vulnerabilities smart devices, which seen as easy targets often lacking robust security mechanisms. Identifying activity is an active research topic remains challenging task due continuous evolution families that employ large number attack vectors. Traditional rule-based approaches rely signature...
Sensor networks are being deployed for tracking events of interest in many environmental or monitoring applications. Because their distributed nature operation, a challenging issue is how to accurately identify the aggregate state phenomenon that observed. This work presents an online mechanism efficiently determining overall network status, employing operations minimize communication costs. Experiments on real data, suggest proposed metholology can be viable solution world systems.
Dimitris Papadopoulos, Nikolaos Papadakis, Matsatsinis. Proceedings of the 16th Conference European Chapter Association for Computational Linguistics: Student Research Workshop. 2021.
This was a feasibility pilot study aiming to develop and validate an activity recognition system based on custom-made body-fixed sensor driven by algorithm for recognising basic kinetic movements in military personnel. The findings of this are deemed essential informing our development process contributing ultimate aim which is low-cost easy-to-use applications.Fifty participants performed series trials involving walking, running jumping under laboratory conditions order determine the...
The EU-funded PALANTIR project proposes a cybersecurity framework combining privacy assurance, data protection, incident detection and recovery aspects under the same platform. main focus is on cyber-resilience of SMEs compliance with relevant protection regulations. outcomes will be validated in diverse application areas (eHealth, eCommerce, 5G-MEC) provide enterprises security tools that boost their resilience at reasonable cost to protect assets ever evolving cyber threat range.
The clustering problem concerns the discovery of homogeneous groups data according to a certain similarity measure. Clustering suffers from curse dimensionality. It is not meaningful look for clusters in high dimensional spaces as average density points anywhere input space likely be low. As consequence, distance functions that equally use all features may ineffective. We introduce an algorithm discovers subspaces spanned by different combinations dimensions via local weightings features....
We present a new distributed mechanism for tracking moving objects with network of sensors. To track such efficiently and accurately, we need techniques that allow the cooperation many sensors, real-time exchange data in presence possible failures within constraints system. Our provides efficient set-up sensors network, while providing fault tolerant characteristics through replication. provide an algorithm predicting, high probability, future location object based on past observations by...
The abundance of online information narrows our collective attention span. We address the need for automated claim validation, based on incorporated evidence from dynamic, textually represented environments created by news sources. present FarFetched, an entity-centric reasoning framework news, where latent connections between events, actions or statements are discovered via their identified entity mentions and in a structured form with help graph database. propose construction approach that...