Georgiana Ifrim
Orcid: 0000-0002-8400-2972Affiliations:
- University College Dublin, School of Computer Science, Ireland
- Max Planck Institute for Informatics, Saarbrücken, Germany (former)
- Saarland University, Saarbrücken, Germany (PhD 2009)
According to our database1,
Georgiana Ifrim
authored at least 55 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on github.com
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Bibliography
2023
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers.
Data Min. Knowl. Discov., March, 2023
Scalable classifier-agnostic channel selection for multivariate time series classification.
Data Min. Knowl. Discov., March, 2023
CoRR, 2023
CoRR, 2023
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Going The Distance: Reflections on Using Robot Racing Cars for Teaching Machine Learning.
Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice, 2023
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
Softw. Impacts, 2022
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022
2021
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021
Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021
2020
A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020
The Ants Have Megaphones Now: Text Mining and Summarization for News and Social Media Streams.
Proceedings of AI4Narratives, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
IEEE CAA J. Autom. Sinica, 2019
Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations.
Data Min. Knowl. Discov., 2019
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
CoRR, 2018
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains.
CoRR, 2018
2017
CoRR, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
2016
Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News.
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
2015
A Machine Learning Approach to Predicting the Smoothed Complexity of Sorting Algorithms.
CoRR, 2015
Proceedings of the Joint Proceedings of the 5th International Workshop on Using the Web in the Age of Data (USEWOD '15) and the 2nd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '15) co-located with the 12th European Semantic Web Conference (ESWC 2015), Portorož, Slovenia, May 31, 2015
2014
Analyzing the impact of electricity price forecasting on energy cost-aware scheduling.
Sustain. Comput. Informatics Syst., 2014
CoRR, 2014
Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering.
Proceedings of the SNOW 2014 Data Challenge co-located with 23rd International World Wide Web Conference (WWW 2014), 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
2013
Describing and Generating Solutions for the EDF Unit Commitment Problem with the ModelSeeker.
Proceedings of the Principles and Practice of Constraint Programming, 2013
2012
Proceedings of the Principles and Practice of Constraint Programming, 2012
2011
Bounded coordinate-descent for biological sequence classification in high dimensional predictor space.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
2010
Proceedings of the COLING 2010, 2010
2009
PhD thesis, 2009
2008
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 24th International Conference on Data Engineering, 2008
2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Combining linguistic and statistical analysis to extract relations from web documents.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the 2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge@COLING/ACL 2006, 2006