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2020 – today
- 2022
[j5]Teodora Sandra Buda, João Guerreiro, Jesús Omana Iglesias, Carlos Castillo, Oliver Smith
, Aleksandar Matic:
Foundations for fairness in digital health apps. Frontiers Digit. Health 4 (2022)- 2021
- [j4]Teodora Sandra Buda, Mohammed Khwaja, Aleksandar Matic:
Outliers in Smartphone Sensor Data Reveal Outliers in Daily Happiness. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 5:1-5:19 (2021) - 2020
- [c19]Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden:
Classification of Cybercrime Indicators in Open Social Data. SIMBig 2020: 317-332
2010 – 2019
- 2019
- [e1]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - 2018
- [c18]Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley:
A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. ASONAM 2018: 678-685 - [c17]Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley:
SCCD: Social Capital-Driven Career Development Framework. ASONAM 2018: 1295-1298 - [c16]Hilmi Egemen Ciritoglu, Takfarinas Saber, Teodora Sandra Buda, John Murphy, Christina Thorpe:
Towards a Better Replica Management for Hadoop Distributed File System. BigData Congress 2018: 104-111 - [c15]Marius Corici, Teodora Sandra Buda, Ranjan Shrestha, Eleonora Cau, Taner Metin, Haytham Assem:
Practical Performance Degradation Mitigation Solution Using Anomaly Detection for Carrier-Grade Software Networks. CSCN 2018: 1-6 - [c14]Teodora Sandra Buda, Bora Caglayan, Haytham Assem:
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection. PAKDD (1) 2018: 577-588 - [c13]Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan:
ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction. ECML/PKDD (3) 2018: 222-237 - [c12]Hilmi Egemen Ciritoglu, Leandro Batista de Almeida, Eduardo Cunha de Almeida, Teodora Sandra Buda, John Murphy, Christina Thorpe:
Investigation of Replication Factor for Performance Enhancement in the Hadoop Distributed File System. ICPE Companion 2018: 135-140 - 2017
- [j3]Teodora Sandra Buda, Thomas Cerqueus, Cristian Grava, John Murphy:
ReX: Representative extrapolating relational databases. Inf. Syst. 67: 83-99 (2017) - [j2]Haytham Assem, Teodora Sandra Buda, Declan O'Sullivan:
RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data. ACM Trans. Intell. Syst. Technol. 8(5): 70:1-70:30 (2017) - [c11]Teodora Sandra Buda, Haytham Assem, Lei Xu:
ADE: An ensemble approach for early Anomaly Detection. IM 2017: 442-448 - 2016
- [j1]Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan:
Machine learning as a service for enabling Internet of Things and People. Pers. Ubiquitous Comput. 20(6): 899-914 (2016) - [c10]Lei Xu, Haytham Assem, Imen Grida Ben Yahia, Teodora Sandra Buda, Ángel Martín, Domenico Gallico, Matteo Biancani, Antonio Pastor, Pedro A. Aranda, Mikhail I. Smirnov, Danny Raz, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Marius Iulian Corici, Pat O'Sullivan, Robert Mullins:
CogNet: A network management architecture featuring cognitive capabilities. EuCNC 2016: 325-329 - [c9]Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan:
Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities. ICTAI 2016: 370-377 - [c8]Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha J. Rosensweig, Diego R. López, Marius Iulian Corici, Mikhail Smirnov, Robert Mullins, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Ángel Martín, Alaa Alloush, Pat O'Sullivan, Imen Grida Ben Yahia:
Can machine learning aid in delivering new use cases and scenarios in 5G? NOMS 2016: 1279-1284 - 2015
- [c7]Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen:
ReX: Extrapolating Relational Data in a Representative Way. BICOD 2015: 95-107 - 2014
- [c6]Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen:
VFDS: An Application to Generate Fast Sample Databases. CIKM 2014: 2048-2050 - [c5]Jesús Omana Iglesias, Philip Perry, Liam Murphy, Teodora Sandra Buda, James Thorburn:
An experimental methodology to evaluate energy efficiency and performance in an enterprise virtualized environment. ICPE 2014: 51-62 - 2013
- [c4]Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen:
CoDS: A Representative Sampling Method for Relational Databases. DEXA (1) 2013: 342-356 - [c3]Teodora Sandra Buda, John Murphy, Morten Kristiansen:
Towards realistic sampling: generating dependencies in a relational database. ICUIMC 2013: 12 - [c2]Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen:
VFDS: Very fast database sampling system. IRI 2013: 153-160 - [c1]Teodora Sandra Buda:
Generation of test databases using sampling methods. ISSTA 2013: 366-369
Coauthor Index
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