Jasmina Bogojeska

Orcid: 0000-0001-5634-7984

Affiliations:
  • IBM Research Zurich, Switzerland
  • Max Planck Institute for Informatics (MPII), Saarbrücken, Germany


According to our database1, Jasmina Bogojeska authored at least 26 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Improving Low-Resource Question Answering using Active Learning in Multiple Stages.
CoRR, 2022

Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
IBM Predictive Analytics Reduces Server Downtime.
INFORMS J. Appl. Anal., 2021

SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ezNL2SQL: A System for Network Devices Management with a Natural Language Interface for Databases.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

2018
Transfer learning for server behavior classification in small IT environments.
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

2017
On the adoption and impact of predictive analytics for server incident reduction.
IBM J. Res. Dev., 2017

Combining Kernel and Model Based Learning for HIV Therapy Selection.
Proceedings of the Summit on Clinical Research Informatics, 2017

2016
Predicting Disk Replacement towards Reliable Data Centers.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Predictive Analytics for Server Incident Reduction.
ERCIM News, 2015

Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Impact of HW and OS type and currency on server availability derived from problem ticket analysis.
Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014

Hierarchical Incident Ticket Classification with Minimal Supervision.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Solving Linear SVMs with Multiple 1D Projections.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Analysis of Labor Efforts and their Impact Factors to Solve Server Incidents in Datacenters.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
Classifying server behavior and predicting impact of modernization actions.
Proceedings of the 9th International Conference on Network and Service Management, 2013

2012
Statistical learning methods for bias-aware HIV therapy screening.
PhD thesis, 2012

History-alignment models for bias-aware prediction of virological response to HIV combination therapy.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
History distribution matching method for predicting effectiveness of HIV combination therapies.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Dealing with sparse data in predicting outcomes of HIV combination therapies.
Bioinform., 2010

2008
Stability analysis of mixtures of mutagenetic trees.
BMC Bioinform., 2008

Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores.
Bioinform., 2008

Multi-task learning for HIV therapy screening.
Proceedings of the Machine Learning, 2008


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