Sandra Mitrovic

According to our database, Sandra Mitrovic authored at least 24 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text.

Sandra Mitrovic, Davide Andreoletti, Omran Ayoub

CoRR, 2023

Annotating Panic in Social Media using Active Learning, Transformers and Domain Knowledge.

Sandra Mitrovic, Fabio Frisone, Suryam Gupta, Chiara Lucifora, Dragana Carapic, Carlo Schillaci, Samuele Di Giovanni, Ayushi Singh

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Keyword Extraction in Scientific Documents.

Susie Xi Rao, Piriyakorn Piriyatamwong, Parijat Ghoshal, Sara Nasirian, Sandra Mitrovic, Emmanuel de Salis, Michael Wechner, Vanya Brucker, Peter H. Egger, Ce Zhang

Proceedings of the Swiss Text Analytics Conference 2022, Lugano, 2022

Enhancing BERT Performance with Contextual Valence Shifters for Panic Detection in COVID-19 Tweets.

Sandra Mitrovic, Vani Kanjirangat

Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 2022

Implementation of Quantum Machine Learning Algorithms: A Literature Review.

Marija Scekic, Snezana Scepanovic, Sandra Mitrovic

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs.

Simon Hiel, Lore Nicolaers, Carlos Ortega Vázquez, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

tcc2vec: RFM-informed representation learning on call graphs for churn prediction.

Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt

Inf. Sci., 2021

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection.

Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Neural Machine Translation for Conditional Generation of Novel Procedures.

Joppe Geluykens, Sandra Mitrovic, Carlos Ortega Vázquez, Teodoro Laino, Alain C. Vaucher, Jochen De Weerdt

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Churn modeling with probabilistic meta paths-based representation learning.

Sandra Mitrovic, Jochen De Weerdt

Inf. Process. Manag., 2020

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic.

Md. Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee

CoRR, 2020

On Analyzing Annotation Consistency in Online Abusive Behavior Datasets.

Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic

CoRR, 2020

A Comparative Study of Representation Learning Techniques for Dynamic Networks.

Carlos Ortega Vázquez, Sandra Mitrovic, Jochen De Weerdt, Seppe vanden Broucke

Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces.

Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019

A Comparative Study of Community Detection Techniques for Large Evolving Graphs.

Lauranne Coppens, Jonathan De Venter, Sandra Mitrovic, Jochen De Weerdt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Representation Learning in Graphs for Credit Card Fraud Detection.

Rafaël Van Belle, Sandra Mitrovic, Jochen De Weerdt

Proceedings of the Mining Data for Financial Applications - 4th ECML PKDD Workshop, 2019

A comparison of methods for link sign prediction with signed network embeddings.

Sandra Mitrovic, Laurent Lecoutere, Jochen De Weerdt

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

On the operational efficiency of different feature types for telco Churn prediction.

Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt

Eur. J. Oper. Res., 2018

Benefits of Using Symmetric Loss in Recommender Systems.

Gaurav Singh, Sandra Mitrovic

Proceedings of the Advances in Information Retrieval, 2018

Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction.

Sam De Winter, Tim Decuypere, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Churn Prediction Using Dynamic RFM-Augmented Node2vec.

Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt

Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017

Scalable RFM-enriched Representation Learning for Churn Prediction.

Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Predicting Branch Visits and Upselling using Temporal Banking Data.

Sandra Mitrovic, Gaurav Singh

CoRR, 2016

2015

Summarizing Citation Contexts of Scientific Publications.

Sandra Mitrovic, Henning Müller

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015