Multi-task learning for HIV therapy screening. - Steffen Bickel; Jasmina Bogojeska; Thomas Lengauer; Tobias Scheffer (ICML, 2008)

Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores. - Jasmina Bogojeska; Adrian Alexa; André Altmann; Thomas Lengauer; Jörg Rahnenführer (Bioinform., 2008)

Stability analysis of mixtures of mutagenetic trees. - Jasmina Bogojeska; Thomas Lengauer; Jörg Rahnenführer (BMC Bioinform., 2008)

Dealing with sparse data in predicting outcomes of HIV combination therapies. - Jasmina Bogojeska; Steffen Bickel; André Altmann; Thomas Lengauer (Bioinform., 2010)

History distribution matching method for predicting effectiveness of HIV combination therapies. - Jasmina Bogojeska (NIPS, 2011)

History-alignment models for bias-aware prediction of virological response to HIV combination therapy. - Jasmina Bogojeska; Daniel Stöckel; Maurizio Zazzi; Rolf Kaiser; Francesca Incardona; Michal Rosen-Zvi; Thomas Lengauer (AISTATS, 2012)

Statistical learning methods for bias-aware HIV therapy screening. - Jasmina Bogojeska (2012)

Classifying server behavior and predicting impact of modernization actions. - Jasmina Bogojeska; David Lanyi; Ioana Giurgiu; George Stark; Dorothea Wiesmann (CNSM, 2013)

Analysis of Labor Efforts and their Impact Factors to Solve Server Incidents in Datacenters. - Ioana Giurgiu; Jasmina Bogojeska; Sergii Nikolaiev; George Stark; Dorothea Wiesmann (CCGRID, 2014)

Solving Linear SVMs with Multiple 1D Projections. - Johannes Schneider 002; Jasmina Bogojeska; Michail Vlachos (CIKM, 2014)

Hierarchical Incident Ticket Classification with Minimal Supervision. - Andrii Maksai; Jasmina Bogojeska; Dorothea Wiesmann (ICDM, 2014)

Impact of HW and OS type and currency on server availability derived from problem ticket analysis. - Jasmina Bogojeska; Ioana Giurgiu; David Lanyi; George Stark; Dorothea Wiesmann (NOMS, 2014)

Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching. - Mirela Madalina Botezatu; Jasmina Bogojeska; Ioana Giurgiu; Hagen Völzer; Dorothea Wiesmann (KDD, 2015)

Predictive Analytics for Server Incident Reduction. - Jasmina Bogojeska; Ioana Giurgiu; David Lanyi; Dorothea Wiesmann (ERCIM News, 2015)

Predicting Disk Replacement towards Reliable Data Centers. - Mirela Madalina Botezatu; Ioana Giurgiu; Jasmina Bogojeska; Dorothea Wiesmann (KDD, 2016)

Combining Kernel and Model Based Learning for HIV Therapy Selection. - Sonali Parbhoo; Jasmina Bogojeska; Maurizio Zazzi; Volker Roth 001; Finale Doshi-Velez (CRI, 2017)

On the adoption and impact of predictive analytics for server incident reduction. - Ioana Giurgiu; Dorothea Wiesmann; Jasmina Bogojeska; David Lanyi; George Stark; Rodney B. Wallace; Marcelo M. Pereira; Alexander A. Hidalgo (IBM J. Res. Dev., 2017)

Transfer learning for server behavior classification in small IT environments. - Jasmina Bogojeska; Dorothea Wiesmann (NOMS, 2018)

ezNL2SQL: A System for Network Devices Management with a Natural Language Interface for Databases. - Jasmina Bogojeska; David Lanyi; Mirela Botezatu; Dorothea Wiesmann (IM, 2021)

SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning. - Mattia Atzeni; Jasmina Bogojeska; Andreas Loukas (NeurIPS, 2021)

IBM Predictive Analytics Reduces Server Downtime. - Jasmina Bogojeska; Ioana Giurgiu; George Stark; Dorothea Wiesmann (INFORMS J. Appl. Anal., 2021)

ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification. - Lukas Fromme; Jasmina Bogojeska; Jonas Kuhn (AISTATS, 2022)

Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification. - Lukas Wertz; Jasmina Bogojeska; Katsiaryna Mirylenka; Jonas Kuhn (AACL/IJCNLP (2), 2022)

Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification. - Lukas Wertz; Katsiaryna Mirylenka; Jonas Kuhn; Jasmina Bogojeska (LREC, 2022)

Improving Low-Resource Question Answering using Active Learning in Multiple Stages. - Maximilian Schmidt; Andrea Bartezzaghi; Jasmina Bogojeska; A. Cristiano I. Malossi; Thang Vu (CoRR, 2022)

Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification. - Lukas Wertz; Jasmina Bogojeska; Katsiaryna Mirylenka; Jonas Kuhn (ACL (Findings), 2023)

Combining Data Generation and Active Learning for Low-Resource Question Answering. - Maximilian Kimmich; Andrea Bartezzaghi; Jasmina Bogojeska; Cristiano Malossi; Ngoc Thang Vu (ICANN (7), 2024)

Towards Foundation Models for Critical Care Time Series. - Manuel Burger; Fedor Sergeev; Malte Londschien; Daphné Chopard; Hugo Yèche; Eike Gerdes; Polina Leshetkina; Alexander Morgenroth; Zeynep Babür; Jasmina Bogojeska; Martin Faltys; Rita Kuznetsova; et al. (CoRR, 2024)

Towards Reliable Conversational Data Analytics. - Sihem Amer-Yahia; Jasmina Bogojeska; Roberta Facchinetti; Valeria Franceschi; Aristides Gionis; Katja Hose; Georgia Koutrika; Roger Kouyos; Matteo Lissandrini; Silviu Maniu; Katsiaryna Mirylenka; Davide Mottin; et al. (EDBT, 2025)

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation. - Iustin Sirbu; Iulia-Renata Sîrbu; Jasmina Bogojeska; Traian Rebedea (CoRR, 2025)