A5016411514- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- Access Control and Trust
- Context-Aware Activity Recognition Systems
- Multi-Agent Systems and Negotiation
- Distributed systems and fault tolerance
- Explainable Artificial Intelligence (XAI)
- Bayesian Modeling and Causal Inference
- IoT and Edge/Fog Computing
- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
- Cryptography and Data Security
- Energy Efficient Wireless Sensor Networks
- Advanced Graph Neural Networks
- Additive Manufacturing and 3D Printing Technologies
- Industrial Vision Systems and Defect Detection
- Topic Modeling
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Logic, programming, and type systems
- Advanced Neural Network Applications
- Time Series Analysis and Forecasting
Dublin City University
2017-2025
University College Cork
2024
I-Form Advanced Manufacturing Research Centre
2023
Ollscoil na Gaillimhe – University of Galway
2010-2017
National University of Ireland
2013-2014
University of Milan
2003-2011
Laboratoire d'Informatique en Images et Systèmes d'Information
2011
Institut National des Sciences Appliquées de Lyon
2011
University of Milano-Bicocca
2007-2010
Our world and our lives are changing in many ways. Communication, networking, computing technologies among the most influential enablers that shape today. Digital data connected worlds of physical objects, people, devices rapidly way we work, travel, socialize, interact with surroundings, they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, control management applications, several other areas. Cities currently face an increasing...
The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these cannot be queried against. We thus propose methods to recover semantics and, particular, extract facts from them form RDF triples. Our core method uses an existing Linked Data knowledge-base find pre-existing relations between entities tables, suggesting same as holding for other analogous columns on different rows. that such approach extracts triples...
An increasing number of cities are confronted with challenges resulting from the rapid urbanization and new demands that a rapidly growing digital economy imposes on current applications information systems. Smart city enable authorities to monitor, manage, provide plans for public resources infrastructures in environments, while offering citizens businesses develop use intelligent services cities. However, providing such smart gives rise several issues, as semantic heterogeneity...
In recent years we have seen significant advances in the technology used to both publish and consume structured data using existing web infrastructure, commonly referred as Linked Data Web. However, order support next generation of e-business applications on top suitable forms access control need be put place. This paper provides an overview various models, standards policy languages, different enforcement strategies for Resource Description Framework (the model underpinning Web). A set...
This paper tackles the problem of supporting independent living and well-being for people that live in their homes have no critical chronic condition. The assumes presence a monitoring system equipped with pervasive sensor network
Journal Article A Logical Approach to Home Healthcare with Intelligent Sensor-Network Support Get access Alessandra Mileo, Mileo * NOMADIS Research Lab, University of Milan-Bicocca, viale dell'Innovazione 10, I-20125 Milan, Italy *Corresponding author: alessandra.mileo@nomadis.unimib.it Search for other works by this author on: Oxford Academic Google Scholar Davide Merico, Merico Stefano Pinardi, Pinardi Roberto Bisiani The Computer Journal, Volume 53, Issue 8, October 2010, Pages 1257–1276,...
The popularity of deep learning has increased tremendously in recent years due to its ability efficiently solve complex tasks challenging areas such as computer vision and language processing. Despite this success, low-level neural activity reproduced by Deep Neural Networks (DNNs) generates extremely rich representations the data. These are difficult characterise cannot be directly used understand decision process. In paper we build upon our exploratory work where introduced concept a...
Deep learning (DL) algorithms have shown significant performance in various computer vision tasks. However, having limited labelled data lead to a network overfitting problem, where is bad on unseen as compared training data. Consequently, it limits improvement. To cope with this techniques been proposed such dropout, normalization and advanced augmentation. Among these, augmentation, which aims enlarge the dataset size by including sample diversity, has hot topic recent times. In article,...
Research in field sports often involves analysis of running performance profiles players during competitive games with individual, per-position, and time-related descriptive statistics. Data are acquired through wearable technologies, which generally capture simple data points, the case many team-based times, latitudes, longitudes. While is relatively high volumes, raw unsuited to any form or machine learning functions. The main goal this research develop a multistep feature engineering...
The large increase in aging population implies that automatic home monitoring will represent a major challenge for the near future. In this paper we describe an "intelligent" environment which modern Wireless Sensor Networks (WSN) technologies allow constant of patient context-aware setting. Data collected and manipulated by WSN support reasoning aimed at understanding evolution patient's health state environment, even when limited number unobtrusive, heterogeneous sensors is available.