Teodora Sandra Buda
Teodora Sandra Buda
Alpha Health Moonshot, Telefonica
Verified email at ucdconnect.ie
Title
Cited by
Cited by
Year
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
322016
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
302016
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
242016
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
212011
View on 5g architecture
S Redana, A Kaloxylos, A Galis, P Rost, V Jungnickel
White paper of the 5G-PPP architecture WG, 2016
202016
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
192018
ReX: Extrapolating relational data in a representative way
TS Buda, T Cerqueus, J Murphy, M Kristiansen
British International Conference on Databases, 95-107, 2015
162015
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
142016
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
102018
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
92017
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
82018
VFDS: Very fast database sampling system
TS Buda, T Cerqueus, J Murphy, M Kristiansen
2013 IEEE 14th International Conference on Information Reuse & Integration …, 2013
72013
ReX: Representative extrapolating relational databases
TS Buda, T Cerqueus, C Grava, J Murphy
Information Systems 67, 83-99, 2017
62017
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
62017
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
62014
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
42018
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
42013
Detecting data anomalies
HAAA Salama, TS Buda, PJ O'sullivan, L Xu
US Patent App. 15/444,584, 2018
32018
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
32018
Generation of test databases using sampling methods
TS Buda
Proceedings of the 2013 International Symposium on Software Testing and …, 2013
32013
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