Teodora Sandra Buda

According to our database, Teodora Sandra Buda authored at least 24 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Foundations for fairness in digital health apps.

Teodora Sandra Buda, João Guerreiro, Jesus Omana Iglesias, Carlos Castillo, Oliver Smith, Aleksandar Matic

Frontiers Digit. Health, 2022

2021

Outliers in Smartphone Sensor Data Reveal Outliers in Daily Happiness.

Teodora Sandra Buda, Mohammed Khwaja, Aleksandar Matic

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

2020

Classification of Cybercrime Indicators in Open Social Data.

Ihsan Ullah, Caoilfhionn Lane, Teodora Sandra Buda, Brett Drury, Marc Mellotte, Haytham Assem, Michael G. Madden

Proceedings of the Information Management and Big Data, 2020

2018

Investigation of Replication Factor for Performance Enhancement in the Hadoop Distributed File System.

Hilmi Egemen Ciritoglu, Leandro Batista de Almeida, Eduardo Cunha de Almeida, Teodora Sandra Buda, John Murphy, Christina Thorpe

Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction.

Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection.

Teodora Sandra Buda, Bora Caglayan, Haytham Assem

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Practical Performance Degradation Mitigation Solution Using Anomaly Detection for Carrier-Grade Software Networks.

Marius Corici, Teodora Sandra Buda, Ranjan Shrestha, Eleonora Cau, Taner Metin, Haytham Assem

Proceedings of the 2018 IEEE Conference on Standards for Communications and Networking, 2018

Towards a Better Replica Management for Hadoop Distributed File System.

Hilmi Egemen Ciritoglu, Takfarinas Saber, Teodora Sandra Buda, John Murphy, Christina Thorpe

Proceedings of the 2018 IEEE International Congress on Big Data, 2018

SCCD: Social Capital-Driven Career Development Framework.

Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation.

Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data.

Haytham Assem, Teodora Sandra Buda, Declan O'Sullivan

ACM Trans. Intell. Syst. Technol., 2017

ReX: Representative extrapolating relational databases.

Teodora Sandra Buda, Thomas Cerqueus, Cristian Grava, John Murphy

Inf. Syst., 2017

ADE: An ensemble approach for early Anomaly Detection.

Teodora Sandra Buda, Haytham Assem, Lei Xu

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

2016

Machine learning as a service for enabling Internet of Things and People.

Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan

Pers. Ubiquitous Comput., 2016

Can machine learning aid in delivering new use cases and scenarios in 5G?

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

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities.

Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

CogNet: A network management architecture featuring cognitive capabilities.

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

Proceedings of the European Conference on Networks and Communications, 2016

2015

ReX: Extrapolating Relational Data in a Representative Way.

Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen

Proceedings of the Data Science - 30th British International Conference on Databases, 2015

2014

An experimental methodology to evaluate energy efficiency and performance in an enterprise virtualized environment.

Jesus Omana Iglesias, Philip Perry, Liam Murphy, Teodora Sandra Buda, James Thorburn

Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014

VFDS: An Application to Generate Fast Sample Databases.

Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Generation of test databases using sampling methods.

Teodora Sandra Buda

Proceedings of the International Symposium on Software Testing and Analysis, 2013

VFDS: Very fast database sampling system.

Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Towards realistic sampling: generating dependencies in a relational database.

Teodora Sandra Buda, John Murphy, Morten Kristiansen

Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, 2013

CoDS: A Representative Sampling Method for Relational Databases.

Teodora Sandra Buda, Thomas Cerqueus, John Murphy, Morten Kristiansen

Proceedings of the Database and Expert Systems Applications, 2013