Teodora Sandra Buda

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 18

Top Topics

Network Management Protocol

Join Dependencies

Anomaly Detection

Top Venues

Publications

Teodora Sandra Buda, João Guerreiro, Jesus Omana Iglesias, Carlos Castillo, Oliver Smith, Aleksandar Matic
Foundations for fairness in digital health apps. Frontiers Digit. Health 4 (2022)
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) (2021)
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)
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. ASONAM (2018)
Teodora Sandra Buda, Bora Caglayan, Haytham Assem
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection. PAKDD (1) (2018)
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)
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)
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)
Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley
SCCD: Social Capital-Driven Career Development Framework. ASONAM (2018)
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)
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) (2017)
Teodora Sandra Buda, Haytham Assem, Lei Xu
ADE: An ensemble approach for early Anomaly Detection. IM (2017)
Teodora Sandra Buda, Thomas Cerqueus, Cristian Grava, John Murphy
ReX: Representative extrapolating relational databases. Inf. Syst. 67 (2017)
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)
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) (2016)
Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities. ICTAI (2016)
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)
Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen
ReX: Extrapolating Relational Data in a Representative Way. BICOD (2015)
Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen
VFDS: An Application to Generate Fast Sample Databases. CIKM (2014)
Jesus 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)
Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen
CoDS: A Representative Sampling Method for Relational Databases. DEXA (1) (2013)
Teodora Sandra Buda
Generation of test databases using sampling methods. ISSTA (2013)
Teodora Sandra Buda, John Murphy, Morten Kristiansen
Towards realistic sampling: generating dependencies in a relational database. ICUIMC (2013)
Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen
VFDS: Very fast database sampling system. IRI (2013)