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ORCIDGeorgiana Ifrim
Person information
- affiliation: University College Dublin, School of Computer Science, Ireland
- affiliation (former): Max Planck Institute for Informatics, Saarbrücken, Germany
- affiliation (PhD 2009): Saarland University, Saarbrücken, Germany
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Books and Theses
- 2009
[b1]Georgiana Ifrim:
Statistical learning techniques for text categorization with sparse labeled data. Saarland University, 2009
Journal Articles
- 2024
- [j8]Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Robust explainer recommendation for time series classification. Data Min. Knowl. Discov. 38(6): 3372-3413 (2024) - 2023
- [j7]Ashish Singh
, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Min. Knowl. Discov. 37(2): 873-912 (2023) - [j6]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Scalable classifier-agnostic channel selection for multivariate time series classification. Data Min. Knowl. Discov. 37(2): 1010-1054 (2023) - 2022
- [j5]Thach Le Nguyen, Georgiana Ifrim:
A short tutorial for time series classification and explanation with MrSQM. Softw. Impacts 11: 100197 (2022) - 2019
- [j4]Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim:
Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations. Data Min. Knowl. Discov. 33(4): 1183-1222 (2019) - [j3]Houshang Darabi, Georgiana Ifrim, Patrick Schäfer, Diego Furtado Silva:
Guest editorial for special issue on time series classification. IEEE CAA J. Autom. Sinica 6(6): 1291-1292 (2019) - 2018
- [j2]Bichen Shi, Gevorg Poghosyan, Georgiana Ifrim, Neil Hurley:
Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. IEEE Trans. Knowl. Data Eng. 30(1): 43-58 (2018) - 2014
- [j1]Diarmuid Grimes, Georgiana Ifrim, Barry O'Sullivan, Helmut Simonis:
Analyzing the impact of electricity price forecasting on energy cost-aware scheduling. Sustain. Comput. Informatics Syst. 4(4): 276-291 (2014)
Conference and Workshop Papers
- 2024
- [c35]Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim:
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. ECML/PKDD (4) 2024: 177-195 - 2023
- [c34]Arik Ermshaus, Patrick Schäfer, Anthony J. Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger, Simon Malinowski:
Human Activity Segmentation Challenge @ ECML/PKDD'23. AALTD@ECML/PKDD 2023: 3-13 - [c33]Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Evaluating Explanation Methods for Multivariate Time Series Classification. AALTD@ECML/PKDD 2023: 159-175 - [c32]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. AALTD@ECML/PKDD 2023: 205-229 - [c31]Georgiana Ifrim:
Structured Summarisation of News at Scale. Text2Story@ECIR 2023: 1 - [c30]Georgiana Ifrim:
Going The Distance: Reflections on Using Robot Racing Cars for Teaching Machine Learning. HCAIep 2023: 1 - [c29]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. ECML/PKDD (6) 2023: 312-329 - 2022
- [c28]Thach Le Nguyen, Georgiana Ifrim:
Fast Time Series Classification with Random Symbolic Subsequences. AALTD@ECML/PKDD 2022: 50-65 - [c27]Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim:
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning. ACL (1) 2022: 1267-1280 - 2021
- [c26]Surabhi Agarwal, Trang Thu Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification. AALTD@ECML/PKDD 2021: 3-20 - [c25]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Fast Channel Selection for Scalable Multivariate Time Series Classification. AALTD@ECML/PKDD 2021: 36-54 - [c24]Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran:
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Medical Imaging: Image Processing 2021 - 2020
- [c23]Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, Georgiana Ifrim:
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal. ACL 2020: 1302-1308 - [c22]Demian Gholipour Ghalandari, Georgiana Ifrim:
Examining the State-of-the-Art in News Timeline Summarization. ACL 2020: 1322-1334 - [c21]Bhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim:
An Examination of the State-of-the-Art for Multivariate Time Series Classification. ICDM (Workshops) 2020: 243-250 - [c20]Georgiana Ifrim:
The Ants Have Megaphones Now: Text Mining and Summarization for News and Social Media Streams. AI4Narratives@IJCAI 2020: 1 - [c19]Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification. AALTD@PKDD/ECML 2020: 77-94 - 2019
- [c18]Gevorg Poghosyan, Georgiana Ifrim:
SocialTree: Socially Augmented Structured Summaries of News Stories. HT 2019: 153-162 - 2017
- [c17]Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim:
Time Series Classification by Sequence Learning in All-Subsequence Space. ICDE 2017: 947-958 - [c16]Severin Gsponer, Barry Smyth, Georgiana Ifrim:
Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. ECML/PKDD (2) 2017: 37-52 - 2016
- [c15]Gevorg Poghosyan, Muhammad Atif Qureshi, Georgiana Ifrim:
Topy: Real-Time Story Tracking via Social Tags. ECML/PKDD (3) 2016: 45-49 - [c14]Bichen Shi, Georgiana Ifrim, Neil J. Hurley:
Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News. WWW 2016: 1191-1202 - 2015
- [c13]Alexander Prohaska, Christos Tryfonopoulos, Georgiana Ifrim:
Constructing Subsumption Hierarchies of Web Queries. USEWOD-PROFILES@ESWC 2015: 47-61 - 2014
- [c12]Bichen Shi, Georgiana Ifrim, Neil Hurley:
Insight4News: Connecting News to Relevant Social Conversations. ECML/PKDD (3) 2014: 473-476 - [c11]Georgiana Ifrim, Bichen Shi, Igor Brigadir:
Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering. SNOW-DC@WWW 2014: 33-40 - 2013
- [c10]Nicolas Beldiceanu, Georgiana Ifrim, Arnaud Lenoir, Helmut Simonis:
Describing and Generating Solutions for the EDF Unit Commitment Problem with the ModelSeeker. CP 2013: 733-748 - 2012
- [c9]Georgiana Ifrim, Barry O'Sullivan, Helmut Simonis:
Properties of Energy-Price Forecasts for Scheduling. CP 2012: 957-972 - 2011
- [c8]Georgiana Ifrim, Carsten Wiuf:
Bounded coordinate-descent for biological sequence classification in high dimensional predictor space. KDD 2011: 708-716 - 2010
- [c7]Lizhen Qu, Georgiana Ifrim, Gerhard Weikum:
The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. COLING 2010: 913-921 - 2008
- [c6]Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath, Gerhard Weikum:
NAGA: Searching and Ranking Knowledge. ICDE 2008: 953-962 - [c5]Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum:
Fast logistic regression for text categorization with variable-length n-grams. KDD 2008: 354-362 - [c4]Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Shady Elbassuoni, Maya Ramanath, Gerhard Weikum:
NAGA: harvesting, searching and ranking knowledge. SIGMOD Conference 2008: 1285-1288 - 2006
- [c3]Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum:
LEILA: Learning to Extract Information by Linguistic Analysis. OntologyLearning@COLING/ACL 2006: 18-25 - [c2]Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum:
Combining linguistic and statistical analysis to extract relations from web documents. KDD 2006: 712-717 - [c1]Georgiana Ifrim, Gerhard Weikum:
Transductive Learning for Text Classification Using Explicit Knowledge Models. PKDD 2006: 223-234
Editorship
- 2023
- [e7]Thomas Guyet, Georgiana Ifrim, Simon Malinowski, Anthony J. Bagnall, Patrick Schäfer, Vincent Lemaire:
Advanced Analytics and Learning on Temporal Data - 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13812, Springer 2023, ISBN 978-3-031-24377-6 [contents] - [e6]Georgiana Ifrim, Romain Tavenard, Anthony J. Bagnall, Patrick Schäfer, Simon Malinowski, Thomas Guyet, Vincent Lemaire:
Advanced Analytics and Learning on Temporal Data - 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14343, Springer 2023, ISBN 978-3-031-49895-4 [contents] - 2021
- [e5]Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim:
Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13114, Springer 2021, ISBN 978-3-030-91444-8 [contents] - [e4]Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig Saunders, Sofie Van Hoecke:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12461, Springer 2021, ISBN 978-3-030-67669-8 [contents] - 2020
- [e3]Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim:
Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12588, Springer 2020, ISBN 978-3-030-65741-3 [contents] - 2019
- [e2]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11051, Springer 2019, ISBN 978-3-030-10924-0 [contents] - [e1]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11052, Springer 2019, ISBN 978-3-030-10927-1 [contents]
Informal and Other Publications
- 2024
- [i24]Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim:
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. CoRR abs/2406.12507 (2024) - 2023
- [i23]Timilehin B. Aderinola, Hananeh Younesian, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone. CoRR abs/2302.10749 (2023) - [i22]Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification. CoRR abs/2306.05501 (2023) - [i21]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. CoRR abs/2307.04516 (2023) - [i20]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. CoRR abs/2308.07886 (2023) - [i19]Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim:
Evaluating Explanation Methods for Multivariate Time Series Classification. CoRR abs/2308.15223 (2023) - [i18]Timilehin B. Aderinola, Hananeh Younesian, Cathy Goulding, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Machine Vision-Enabled Sports Performance Analysis. CoRR abs/2312.11340 (2023) - 2022
- [i17]Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim:
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning. CoRR abs/2205.08221 (2022) - [i16]Antonio Bevilacqua, Lisa Alcock, Brian Caulfield, Eran Gazit, Clint Hansen, Neil Ireson, Georgiana Ifrim:
Automated Mobility Context Detection with Inertial Signals. CoRR abs/2205.08409 (2022) - [i15]Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim:
Scalable Classifier-Agnostic Channel Selection for MTSC. CoRR abs/2206.09274 (2022) - [i14]Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. CoRR abs/2210.00507 (2022) - 2021
- [i13]Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran:
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset. CoRR abs/2103.08590 (2021) - [i12]Thach Le Nguyen, Georgiana Ifrim:
MrSQM: Fast Time Series Classification with Symbolic Representations. CoRR abs/2109.01036 (2021) - 2020
- [i11]Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, Georgiana Ifrim:
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal. CoRR abs/2005.10070 (2020) - [i10]Demian Gholipour Ghalandari, Georgiana Ifrim:
Examining the State-of-the-Art in News Timeline Summarization. CoRR abs/2005.10107 (2020) - [i9]Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim:
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations. CoRR abs/2006.01667 (2020) - [i8]Severin Gsponer, Luca Costabello, Chan Le Van, Sumit Pai, Christophe Guéret, Georgiana Ifrim, Freddy Lécué:
Background Knowledge Injection for Interpretable Sequence Classification. CoRR abs/2006.14248 (2020) - 2018
- [i7]Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Georgiana Ifrim:
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains. CoRR abs/1808.04022 (2018) - [i6]Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim:
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. CoRR abs/1808.05906 (2018) - 2017
- [i5]Georgiana Ifrim, Derek Greene, Mark T. Keane, Claudia Orellana-Rodriguez, Bichen Shi, Gevorg Poghosyan:
On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools. CoRR abs/1710.05212 (2017) - 2015
- [i4]Bichen Shi, Michel P. Schellekens, Georgiana Ifrim:
A Machine Learning Approach to Predicting the Smoothed Complexity of Sorting Algorithms. CoRR abs/1503.06572 (2015) - 2014
- [i3]Bichen Shi, Georgiana Ifrim, Neil Hurley:
Be In The Know: Connecting News Articles to Relevant Twitter Conversations. CoRR abs/1405.3117 (2014) - 2010
- [i2]Georgiana Ifrim, Carsten Wiuf:
Bounded Coordinate-Descent for Biological Sequence Classification in High Dimensional Predictor Space. CoRR abs/1008.0528 (2010) - 2009
- [i1]Maya Ramanath, Kondreddi Sarath Kumar, Georgiana Ifrim:
Generating Concise and Readable Summaries of XML Documents. CoRR abs/0910.2405 (2009)
Coauthor Index
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