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ORCIDJasmina Bogojeska
Person information
- affiliation: IBM Research Zurich, Switzerland
- affiliation: Max Planck Institute for Informatics (MPII), Saarbrücken, Germany
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2020 – today
- 2024
[c19]Maximilian Kimmich, Andrea Bartezzaghi, Jasmina Bogojeska, Cristiano Malossi, Ngoc Thang Vu:
Combining Data Generation and Active Learning for Low-Resource Question Answering. ICANN (7) 2024: 131-147- 2023
- [c18]Lukas Wertz, Jasmina Bogojeska
, Katsiaryna Mirylenka, Jonas Kuhn:
Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification. ACL (Findings) 2023: 10959-10977 - 2022
- [c17]Lukas Fromme, Jasmina Bogojeska, Jonas Kuhn:
ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification. AISTATS 2022: 3016-3027 - [c16]Lukas Wertz, Jasmina Bogojeska, Katsiaryna Mirylenka, Jonas Kuhn:
Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification. AACL/IJCNLP (2) 2022: 366-372 - [c15]Lukas Wertz, Katsiaryna Mirylenka, Jonas Kuhn, Jasmina Bogojeska:
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification. LREC 2022: 4597-4605 - [i3]Maximilian Schmidt, Andrea Bartezzaghi, Jasmina Bogojeska, A. Cristiano I. Malossi, Thang Vu:
Improving Low-Resource Question Answering using Active Learning in Multiple Stages. CoRR abs/2211.14880 (2022) - 2021
- [j5]Jasmina Bogojeska, Ioana Giurgiu, George Stark, Dorothea Wiesmann:
IBM Predictive Analytics Reduces Server Downtime. INFORMS J. Appl. Anal. 51(1): 63-75 (2021) - [c14]Jasmina Bogojeska, David Lanyi, Mirela Botezatu, Dorothea Wiesmann:
ezNL2SQL: A System for Network Devices Management with a Natural Language Interface for Databases. IM 2021: 233-240 - [c13]Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas:
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning. NeurIPS 2021: 12587-12599 - [i2]Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas:
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning. CoRR abs/2110.14266 (2021)
2010 – 2019
- 2018
- [c12]Jasmina Bogojeska, Dorothea Wiesmann:
Transfer learning for server behavior classification in small IT environments. NOMS 2018: 1-9 - 2017
- [j4]Ioana Giurgiu, Dorothea Wiesmann, Jasmina Bogojeska, David Lanyi, George Stark, Rodney B. Wallace, Marcelo M. Pereira, Alexander A. Hidalgo:
On the adoption and impact of predictive analytics for server incident reduction. IBM J. Res. Dev. 61(1): 9:98-9:109 (2017) - [c11]Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Combining Kernel and Model Based Learning for HIV Therapy Selection. CRI 2017 - 2016
- [c10]Mirela Madalina Botezatu, Ioana Giurgiu, Jasmina Bogojeska, Dorothea Wiesmann:
Predicting Disk Replacement towards Reliable Data Centers. KDD 2016: 39-48 - 2015
- [c9]Mirela Madalina Botezatu, Jasmina Bogojeska, Ioana Giurgiu, Hagen Völzer, Dorothea Wiesmann:
Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching. KDD 2015: 1711-1720 - [i1]Jasmina Bogojeska, Ioana Giurgiu, David Lanyi, Dorothea Wiesmann:
Predictive Analytics for Server Incident Reduction. ERCIM News 2015(102) (2015) - 2014
- [c8]Ioana Giurgiu, Jasmina Bogojeska, Sergii Nikolaiev, George Stark, Dorothea Wiesmann:
Analysis of Labor Efforts and their Impact Factors to Solve Server Incidents in Datacenters. CCGRID 2014: 424-433 - [c7]Johannes Schneider, Jasmina Bogojeska, Michail Vlachos:
Solving Linear SVMs with Multiple 1D Projections. CIKM 2014: 221-230 - [c6]Andrii Maksai, Jasmina Bogojeska, Dorothea Wiesmann:
Hierarchical Incident Ticket Classification with Minimal Supervision. ICDM 2014: 923-928 - [c5]Jasmina Bogojeska, Ioana Giurgiu, David Lanyi, George Stark, Dorothea Wiesmann:
Impact of HW and OS type and currency on server availability derived from problem ticket analysis. NOMS 2014: 1-9 - 2013
- [c4]Jasmina Bogojeska, David Lanyi, Ioana Giurgiu, George Stark, Dorothea Wiesmann:
Classifying server behavior and predicting impact of modernization actions. CNSM 2013: 59-66 - 2012
- [b1]Jasmina Bogojeska:
Statistical learning methods for bias-aware HIV therapy screening. Saarland University, 2012 - [c3]Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-Zvi, Thomas Lengauer:
History-alignment models for bias-aware prediction of virological response to HIV combination therapy. AISTATS 2012: 118-126 - 2011
- [c2]Jasmina Bogojeska:
History distribution matching method for predicting effectiveness of HIV combination therapies. NIPS 2011: 424-432 - 2010
- [j3]Jasmina Bogojeska, Steffen Bickel, André Altmann, Thomas Lengauer:
Dealing with sparse data in predicting outcomes of HIV combination therapies. Bioinform. 26(17): 2085-2092 (2010)
2000 – 2009
- 2008
- [j2]Jasmina Bogojeska, Adrian Alexa, André Altmann, Thomas Lengauer, Jörg Rahnenführer:
Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores. Bioinform. 24(20): 2391-2392 (2008) - [j1]Jasmina Bogojeska, Thomas Lengauer, Jörg Rahnenführer:
Stability analysis of mixtures of mutagenetic trees. BMC Bioinform. 9 (2008) - [c1]Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer:
Multi-task learning for HIV therapy screening. ICML 2008: 56-63
Coauthor Index
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