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ORCIDSandra Mitrovic
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Journal Articles
- 2021
[j3]Sandra Mitrovic
, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt:
tcc2vec: RFM-informed representation learning on call graphs for churn prediction. Inf. Sci. 557: 270-285 (2021)- 2020
- [j2]Sandra Mitrovic, Jochen De Weerdt:
Churn modeling with probabilistic meta paths-based representation learning. Inf. Process. Manag. 57(2): 102052 (2020) - 2018
- [j1]Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt:
On the operational efficiency of different feature types for telco Churn prediction. Eur. J. Oper. Res. 267(3): 1141-1155 (2018)
Conference and Workshop Papers
- 2024
- [c18]Joseph Cornelius, Oscar Lithgow-Serrano, Sandra Mitrovic, Ljiljana Dolamic, Fabio Rinaldi:
BUST: Benchmark for the evaluation of detectors of LLM-Generated Text. NAACL-HLT 2024: 8029-8057 - 2023
- [c17]Sandra Mitrovic, Fabio Frisone, Suryam Gupta, Chiara Lucifora, Dragana Carapic, Carlo Schillaci, Samuele Di Giovanni, Ayushi Singh:
Annotating Panic in Social Media using Active Learning, Transformers and Domain Knowledge. ICDM (Workshops) 2023: 1269-1278 - 2022
- [c16]Simon Hiel, Lore Nicolaers, Carlos Ortega Vázquez, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt:
Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs. ASONAM 2022: 403-410 - [c15]Marija Scekic, Snezana Scepanovic, Sandra Mitrovic:
Implementation of Quantum Machine Learning Algorithms: A Literature Review. MECO 2022: 1-4 - [c14]Sandra Mitrovic, Vani Kanjirangat:
Enhancing BERT Performance with Contextual Valence Shifters for Panic Detection in COVID-19 Tweets. NLPIR 2022: 89-92 - [c13]Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Sandra Mitrovic, Emmanuel de Salis, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang:
Keyword Extraction in Scientific Documents. SwissText 2022: 44-55 - 2021
- [c12]Joppe Geluykens, Sandra Mitrovic, Carlos Ortega Vázquez, Teodoro Laino, Alain C. Vaucher, Jochen De Weerdt:
Neural Machine Translation for Conditional Generation of Novel Procedures. HICSS 2021: 1-10 - [c11]Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic:
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection. PAKDD (1) 2021: 701-713 - 2020
- [c10]Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi:
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. SemEval@COLING 2020: 214-221 - [c9]Carlos Ortega Vázquez, Sandra Mitrovic, Jochen De Weerdt, Seppe vanden Broucke:
A Comparative Study of Representation Learning Techniques for Dynamic Networks. WorldCIST (3) 2020: 523-530 - 2019
- [c8]Sandra Mitrovic, Laurent Lecoutere, Jochen De Weerdt:
A comparison of methods for link sign prediction with signed network embeddings. ASONAM 2019: 1089-1096 - [c7]Rafaël Van Belle, Sandra Mitrovic, Jochen De Weerdt:
Representation Learning in Graphs for Credit Card Fraud Detection. MIDAS@PKDD 2019: 32-46 - [c6]Lauranne Coppens, Jonathan De Venter, Sandra Mitrovic, Jochen De Weerdt:
A Comparative Study of Community Detection Techniques for Large Evolving Graphs. PKDD/ECML Workshops (1) 2019: 368-384 - 2018
- [c5]Sam De Winter, Tim Decuypere, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt:
Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction. ASONAM 2018: 1234-1241 - [c4]Gaurav Singh, Sandra Mitrovic:
Benefits of Using Symmetric Loss in Recommender Systems. ECIR 2018: 345-356 - 2017
- [c3]Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt:
Scalable RFM-enriched Representation Learning for Churn Prediction. DSAA 2017: 79-88 - [c2]Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt:
Churn Prediction Using Dynamic RFM-Augmented Node2vec. PAP@PKDD/ECML 2017: 122-138 - 2015
- [c1]Sandra Mitrovic, Henning Müller:
Summarizing Citation Contexts of Scientific Publications. CLEF 2015: 154-165
Informal and Other Publications
- 2024
- [i8]Claudio Bonesana, Daniele Malpetti, Sandra Mitrovic, Francesca Mangili, Laura Azzimonti:
Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework. CoRR abs/2409.13473 (2024) - 2023
- [i7]Sandra Mitrovic, Davide Andreoletti, Omran Ayoub:
ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text. CoRR abs/2301.13852 (2023) - 2022
- [i6]Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Emmanuel de Salis, Sandra Mitrovic, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang:
Keyword Extraction in Scientific Documents. CoRR abs/2207.01888 (2022) - 2021
- [i5]Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic:
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection. CoRR abs/2103.11800 (2021) - 2020
- [i4]Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic:
On Analyzing Annotation Consistency in Online Abusive Behavior Datasets. CoRR abs/2006.13507 (2020) - [i3]Md. Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee:
On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic. CoRR abs/2007.10712 (2020) - [i2]Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi:
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. CoRR abs/2010.00857 (2020) - 2016
- [i1]Sandra Mitrovic, Gaurav Singh:
Predicting Branch Visits and Upselling using Temporal Banking Data. CoRR abs/1607.06123 (2016)
Coauthor Index
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