Sandra Mitrović
Sandra Mitrović
Postdoctoral Researcher, IDSIA
Verified email at idsia.ch
Title
Cited by
Cited by
Year
Machine-learned identification of RR Lyrae stars from sparse, multi-band data: the PS1 sample
B Sesar, N Hernitschek, S Mitrović, Ž Ivezić, HW Rix, JG Cohen, ...
The Astronomical Journal 153 (5), 204, 2017
972017
On the operational efficiency of different feature types for telco Churn prediction
S Mitrović, B Baesens, W Lemahieu, J De Weerdt
European Journal of Operational Research 267 (3), 1141-1155, 2018
192018
Combining temporal aspects of dynamic networks with Node2Vec for a more efficient dynamic link prediction
S De Winter, T Decuypere, S Mitrović, B Baesens, J De Weerdt
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
172018
tcc2vec: RFM-informed representation learning on call graphs for churn prediction
S Mitrović, B Baesens, W Lemahieu, J De Weerdt
Information Sciences, 2019
122019
Summarizing citation contexts of scientific publications
S Mitrović, H Müller
International Conference of the Cross-Language Evaluation Forum for European …, 2015
82015
Scalable rfm-enriched representation learning for churn prediction
S Mitrovic, G Singh, B Baesens, W Lemahieu, J De Weerdt
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
72017
On analyzing antisocial behaviors amid covid-19 pandemic
MR Awal, R Cao, S Mitrovic, RKW Lee
arXiv preprint arXiv:2007.10712, 2020
62020
On analyzing annotation consistency in online abusive behavior datasets
MR Awal, R Cao, RKW Lee, S Mitrović
arXiv preprint arXiv:2006.13507, 2020
62020
Churn prediction using dynamic rfm-augmented node2vec
S Mitrović, B Baesens, W Lemahieu, J De Weerdt
International Workshop on Personal Analytics and Privacy, 122-138, 2017
62017
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
K Vani, S Mitrovic, A Antonucci, F Rinaldi
arXiv e-prints, arXiv: 2010.00857, 2020
42020
Churn modeling with probabilistic meta paths-based representation learning
S Mitrović, J De Weerdt
Information Processing & Management 57 (2), 102052, 2020
32020
Representation learning in graphs for credit card fraud detection
R Van Belle, S Mitrović, J De Weerdt
Workshop on Mining Data for Financial Applications, 32-46, 2019
32019
A comparative study of community detection techniques for large evolving graphs.
L Coppens, J De Venter, S Mitrovic, J De Weerdt
LEG@ ECML: The third International Workshop on Advances in Managing and …, 2019
32019
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
V Kanjirangat, S Mitrovic, A Antonucci, F Rinaldi
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 214-221, 2020
22020
Dyn2Vec: Exploiting dynamic behaviour using difference networks-based node embeddings for classification
S Mitrovic, J De Weerdt
22018
Predicting branch visits and credit card up-selling using temporal banking data
S Mitrović, G Singh
arXiv preprint arXiv:1607.06123, 2016
22016
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
MR Awal, R Cao, RKW Lee, S Mitrovic
arXiv preprint arXiv:2103.11800, 2021
12021
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
M Rabiul Awal, R Cao, R Ka-Wei Lee, S Mitrovic
arXiv e-prints, arXiv: 2103.11800, 2021
2021
Neural Machine Translation for Conditional Generation of Novel Procedures
J Geluykens, S Mitrović, CE Ortega Vázquez, T Laino, A Vaucher, ...
Proceedings of the 54th Hawaii International Conference on System Sciences, 1091, 2021
2021
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
VKS Mitrovic, A Antonucci, F Rinaldi
arXiv preprint arXiv:2010.00857, 2020
2020
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Articles 1–20