Summarizing Citation Contexts of Scientific Publications. - Sandra Mitrovic; Henning Müller (CLEF, 2015)

Predicting Branch Visits and Upselling using Temporal Banking Data. - Sandra Mitrovic; Gaurav Singh 001 (CoRR, 2016)

Scalable RFM-enriched Representation Learning for Churn Prediction. - Sandra Mitrovic; Gaurav Singh 001; Bart Baesens; Wilfried Lemahieu; Jochen De Weerdt (DSAA, 2017)

Churn Prediction Using Dynamic RFM-Augmented Node2vec. - Sandra Mitrovic; Bart Baesens; Wilfried Lemahieu; Jochen De Weerdt (PAP@PKDD/ECML, 2017)

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 (ASONAM, 2018)

Benefits of Using Symmetric Loss in Recommender Systems. - Gaurav Singh 001; Sandra Mitrovic (ECIR, 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)

A comparison of methods for link sign prediction with signed network embeddings. - Sandra Mitrovic; Laurent Lecoutere; Jochen De Weerdt (ASONAM, 2019)

Representation Learning in Graphs for Credit Card Fraud Detection. - Rafaël Van Belle; Sandra Mitrovic; Jochen De Weerdt (MIDAS@PKDD, 2019)

A Comparative Study of Community Detection Techniques for Large Evolving Graphs. - Lauranne Coppens; Jonathan De Venter; Sandra Mitrovic; Jochen De Weerdt (PKDD/ECML Workshops (1), 2019)

SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. - Vani Kanjirangat; Sandra Mitrovic; Alessandro Antonucci 001; Fabio Rinaldi 001 (SemEval@COLING, 2020)

A Comparative Study of Representation Learning Techniques for Dynamic Networks. - Carlos Ortega Vázquez; Sandra Mitrovic; Jochen De Weerdt; Seppe vanden Broucke (WorldCIST (3), 2020)

On Analyzing Annotation Consistency in Online Abusive Behavior Datasets. - Md. Rabiul Awal; Rui Cao 002; Roy Ka-Wei Lee; Sandra Mitrovic (CoRR, 2020)

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic. - Md. Rabiul Awal; Rui Cao 002; Sandra Mitrovic; Roy Ka-Wei Lee (CoRR, 2020)

Churn modeling with probabilistic meta paths-based representation learning. - Sandra Mitrovic; Jochen De Weerdt (Inf. Process. Manag., 2020)

Neural Machine Translation for Conditional Generation of Novel Procedures. - Joppe Geluykens; Sandra Mitrovic; Carlos Ortega Vázquez; Teodoro Laino; Alain C. Vaucher; Jochen De Weerdt (HICSS, 2021)

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection. - Md. Rabiul Awal; Rui Cao 002; Roy Ka-Wei Lee; Sandra Mitrovic (PAKDD (1), 2021)

tcc2vec: RFM-informed representation learning on call graphs for churn prediction. - Sandra Mitrovic; Bart Baesens; Wilfried Lemahieu; Jochen De Weerdt (Inf. Sci., 2021)

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 (ASONAM, 2022)

Implementation of Quantum Machine Learning Algorithms: A Literature Review. - Marija Scekic; Snezana Scepanovic; Sandra Mitrovic (MECO, 2022)

Enhancing BERT Performance with Contextual Valence Shifters for Panic Detection in COVID-19 Tweets. - Sandra Mitrovic; Vani Kanjirangat (NLPIR, 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 001 (SwissText, 2022)

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 (ICDM (Workshops), 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)

A Computationally Efficient Deep Learning-Based Surrogate Model of Prediabetes Progression. - Lea Multerer; Stefano Toniolo; Sandra Mitrovic; Maria Concetta Palumbo; Alessandro Ravoni; Paolo Tieri; Marco Forgione; Laura Azzimonti (BIBM, 2024)

Assessing the Trustworthiness of Large Language Models on Domain-Specific Questions. - Sandra Mitrovic; Matteo Mazzola; Roberto Larcher; Jérôme Guzzi (EPIA (3), 2024)

BUST: Benchmark for the evaluation of detectors of LLM-Generated Text. - Joseph Cornelius; Oscar Lithgow-Serrano; Sandra Mitrovic; Ljiljana Dolamic; Fabio Rinaldi 001 (NAACL-HLT, 2024)

Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework. - Claudio Bonesana; Daniele Malpetti; Sandra Mitrovic; Francesca Mangili; Laura Azzimonti (CoRR, 2024)