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Cited by
Year
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
492018
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
422016
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
342016
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
292016
View on 5g architecture
S Redana, A Kaloxylos, A Galis, P Rost, V Jungnickel
White paper of the 5G-PPP architecture WG, 2016
272016
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
262011
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
252016
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
222018
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
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
152017
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
132018
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
102017
Outliers in smartphone sensor data reveal outliers in daily happiness
TS Buda, M Khwaja, A Matic
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous…, 2021
92021
Detecting data anomalies
HAAA Salama, TS Buda, PJ O'sullivan, L Xu
US Patent 11,062,230, 2021
82021
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
82018
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
82018
Rex: Representative extrapolating relational databases
TS Buda, T Cerqueus, C Grava, J Murphy
Information Systems 67, 83-99, 2017
72017
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
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
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
42017
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