Teodora Sandra Buda
Teodora Sandra Buda
Alpha Health Moonshot, Telefonica
Verified email at ucdconnect.ie
Cited by
Cited by
Can machine learning aid in delivering new use cases and scenarios in 5G?
TS Buda, H Assem, L Xu, D Raz, U Margolin, E Rosensweig, DR Lopez, ...
NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1279-1284, 2016
CogNet: A network management architecture featuring cognitive capabilities
L Xu, H Assem, IGB Yahia, TS Buda, A Martin, D Gallico, M Biancani, ...
2016 European Conference on Networks and Communications (EuCNC), 325-329, 2016
Spatio-temporal clustering approach for detecting functional regions in cities
H Assem, L Xu, TS Buda, D O'Sullivan
2016 IEEE 28th international conference on tools with artificial…, 2016
Deepad: A generic framework based on deep learning for time series anomaly detection
TS Buda, B Caglayan, H Assem
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 577-588, 2018
View on 5g architecture
S Redana, A Kaloxylos, A Galis, P Rost, V Jungnickel
White paper of the 5G-PPP architecture WG, 2016
Wireless ion-selective electrode autonomous sensing system
C Fay, S Anastasova, C Slater, ST Buda, R Shepherd, B Corcoran, ...
IEEE Sensors Journal 11 (10), 2374-2382, 2011
Machine learning as a service for enabling Internet of Things and People
H Assem, L Xu, TS Buda, D O’Sullivan
Personal and Ubiquitous Computing 20 (6), 899-914, 2016
ReX: Extrapolating relational data in a representative way
TS Buda, T Cerqueus, J Murphy, M Kristiansen
British International Conference on Databases, 95-107, 2015
Towards a better replica management for hadoop distributed file system
HE Ciritoglu, T Saber, TS Buda, J Murphy, C Thorpe
2018 IEEE International Congress on Big Data (BigData Congress), 104-111, 2018
RCMC: Recognizing crowd-mobility patterns in cities based on location based social networks data
H Assem, TS Buda, D O’sullivan
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (5), 1-30, 2017
Investigation of replication factor for performance enhancement in the hadoop distributed file system
HE Ciritoglu, L Batista de Almeida, E Cunha de Almeida, TS Buda, ...
Companion of the 2018 ACM/SPEC International Conference on Performance…, 2018
ADE: An ensemble approach for early Anomaly Detection
TS Buda, H Assem, L Xu
2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM…, 2017
A framework for enterprise social network assessment and weak ties recommendation
F Ghaffar, TS Buda, H Assem, A Afsharinejad, N Hurley
2018 IEEE/ACM International Conference on Advances in Social Networks…, 2018
VFDS: Very fast database sampling system
TS Buda, T Cerqueus, J Murphy, M Kristiansen
2013 IEEE 14th International Conference on Information Reuse & Integration…, 2013
Detecting data anomalies
HAAA Salama, TS Buda, PJ O'sullivan, L Xu
US Patent App. 15/444,584, 2018
ReX: Representative extrapolating relational databases
TS Buda, T Cerqueus, C Grava, J Murphy
Information Systems 67, 83-99, 2017
VFDS: An application to generate fast sample databases
TS Buda, T Cerqueus, J Murphy, M Kristiansen
Proceedings of the 23rd ACM International Conference on Conference on…, 2014
St-dennetfus: A new deep learning approach for network demand prediction
H Assem, B Caglayan, TS Buda, D O’Sullivan
Joint European Conference on Machine Learning and Knowledge Discovery in…, 2018
5G PPP Architecture Working Group: View on 5G Architecture (Version 2.0, December 2017)
O Queseth, Bulakci, P Spapis, P Bisson, P Marsch, P Arnold, P Rost, ...
European Commission, 2017
CoDS: A representative sampling method for relational databases
TS Buda, T Cerqueus, J Murphy, M Kristiansen
International Conference on Database and Expert Systems Applications, 342-356, 2013
The system can't perform the operation now. Try again later.
Articles 1–20