LEILA: Learning to Extract Information by Linguistic Analysis. - Fabian M. Suchanek; Georgiana Ifrim; Gerhard Weikum (OntologyLearning@COLING/ACL, 2006)

Combining linguistic and statistical analysis to extract relations from web documents. - Fabian M. Suchanek; Georgiana Ifrim; Gerhard Weikum (KDD, 2006)

Transductive Learning for Text Classification Using Explicit Knowledge Models. - Georgiana Ifrim; Gerhard Weikum (PKDD, 2006)

NAGA: Searching and Ranking Knowledge. - Gjergji Kasneci; Fabian M. Suchanek; Georgiana Ifrim; Maya Ramanath; Gerhard Weikum (ICDE, 2008)

Fast logistic regression for text categorization with variable-length n-grams. - Georgiana Ifrim; Gökhan H. Bakir; Gerhard Weikum (KDD, 2008)

NAGA: harvesting, searching and ranking knowledge. - Gjergji Kasneci; Fabian M. Suchanek; Georgiana Ifrim; Shady Elbassuoni; Maya Ramanath; Gerhard Weikum (SIGMOD Conference, 2008)

Generating Concise and Readable Summaries of XML Documents - Maya Ramanath; Kondreddi Sarath Kumar; Georgiana Ifrim (CoRR, 2009)

Statistical learning techniques for text categorization with sparse labeled data. - Georgiana Ifrim (2009)

The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. - Lizhen Qu; Georgiana Ifrim; Gerhard Weikum (COLING, 2010)

Bounded coordinate-descent for biological sequence classification in high dimensional predictor space. - Georgiana Ifrim; Carsten Wiuf (KDD, 2011)

Properties of Energy-Price Forecasts for Scheduling. - Georgiana Ifrim; Barry O'Sullivan; Helmut Simonis (CP, 2012)

Describing and Generating Solutions for the EDF Unit Commitment Problem with the ModelSeeker. - Nicolas Beldiceanu; Georgiana Ifrim; Arnaud Lenoir; Helmut Simonis (CP, 2013)

Insight4News: Connecting News to Relevant Social Conversations. - Bichen Shi; Georgiana Ifrim; Neil Hurley (ECML/PKDD (3), 2014)

Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering. - Georgiana Ifrim; Bichen Shi; Igor Brigadir (SNOW-DC@WWW, 2014)

Be In The Know: Connecting News Articles to Relevant Twitter Conversations. - Bichen Shi; Georgiana Ifrim; Neil Hurley (CoRR, 2014)

Analyzing the impact of electricity price forecasting on energy cost-aware scheduling. - Diarmuid Grimes; Georgiana Ifrim; Barry O'Sullivan; Helmut Simonis (Sustain. Comput. Informatics Syst., 2014)

Constructing Subsumption Hierarchies of Web Queries. - Alexander Prohaska; Christos Tryfonopoulos; Georgiana Ifrim (USEWOD-PROFILES@ESWC, 2015)

A Machine Learning Approach to Predicting the Smoothed Complexity of Sorting Algorithms. - Bichen Shi; Michel P. Schellekens; Georgiana Ifrim (CoRR, 2015)

Topy: Real-Time Story Tracking via Social Tags. - Gevorg Poghosyan; Muhammad Atif Qureshi 001; Georgiana Ifrim (ECML/PKDD (3), 2016)

Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News. - Bichen Shi; Georgiana Ifrim; Neil J. Hurley (WWW, 2016)

Time Series Classification by Sequence Learning in All-Subsequence Space. - Thach Le Nguyen; Severin Gsponer; Georgiana Ifrim (ICDE, 2017)

Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. - Severin Gsponer; Barry Smyth; Georgiana Ifrim (ECML/PKDD (2), 2017)

On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools. - Georgiana Ifrim; Derek Greene; Mark T. Keane; Claudia Orellana-Rodriguez; Bichen Shi; Gevorg Poghosyan (CoRR, 2017)

Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains. - Thach Le Nguyen; Severin Gsponer; Iulia Ilie; Georgiana Ifrim (CoRR, 2018)

Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. - Bichen Shi; Thanh-Binh Le; Neil Hurley; Georgiana Ifrim (CoRR, 2018)

Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. - Bichen Shi; Gevorg Poghosyan; Georgiana Ifrim; Neil Hurley (IEEE Trans. Knowl. Data Eng., 2018)

SocialTree: Socially Augmented Structured Summaries of News Stories. - Gevorg Poghosyan; Georgiana Ifrim (HT, 2019)

Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations. - Thach Le Nguyen; Severin Gsponer; Iulia Ilie; Martin O'Reilly 001; Georgiana Ifrim (Data Min. Knowl. Discov., 2019)

Guest editorial for special issue on time series classification. - Houshang Darabi; Georgiana Ifrim; Patrick Schäfer 001; Diego Furtado Silva (IEEE CAA J. Autom. Sinica, 2019)

A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal. - Demian Gholipour Ghalandari; Chris Hokamp; Nghia The Pham; John Glover; Georgiana Ifrim (ACL, 2020)

Examining the State-of-the-Art in News Timeline Summarization. - Demian Gholipour Ghalandari; Georgiana Ifrim (ACL, 2020)

An Examination of the State-of-the-Art for Multivariate Time Series Classification. - Bhaskar Dhariyal; Thach Le Nguyen; Severin Gsponer; Georgiana Ifrim (ICDM (Workshops), 2020)

The Ants Have Megaphones Now: Text Mining and Summarization for News and Social Media Streams. - Georgiana Ifrim (AI4Narratives@IJCAI, 2020)

A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification. - Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (AALTD@PKDD/ECML, 2020)

Background Knowledge Injection for Interpretable Sequence Classification. - Severin Gsponer; Luca Costabello; Chan Le Van; Sumit Pai; Christophe Guéret; Georgiana Ifrim; Freddy Lécué (CoRR, 2020)

Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification. - Surabhi Agarwal; Trang Thu Nguyen; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2021)

Fast Channel Selection for Scalable Multivariate Time Series Classification. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2021)

Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. - Adrianna Janik; Jonathan Dodd; Georgiana Ifrim; Kris Sankaran; Kathleen M. Curran (Image Processing, 2021)

MrSQM: Fast Time Series Classification with Symbolic Representations. - Thach Le Nguyen; Georgiana Ifrim (CoRR, 2021)

Fast Time Series Classification with Random Symbolic Subsequences. - Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2022)

Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning. - Demian Gholipour Ghalandari; Chris Hokamp; Georgiana Ifrim (ACL (1), 2022)

Automated Mobility Context Detection with Inertial Signals. - Antonio Bevilacqua; Lisa Alcock; Brian Caulfield 001; Eran Gazit; Clint Hansen; Neil Ireson; Georgiana Ifrim (CoRR, 2022)

Scalable Classifier-Agnostic Channel Selection for MTSC. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (CoRR, 2022)

A short tutorial for time series classification and explanation with MrSQM. - Thach Le Nguyen; Georgiana Ifrim (Softw. Impacts, 2022)

Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2023)

Human Activity Segmentation Challenge @ ECML/PKDD'23. - Arik Ermshaus; Patrick Schäfer 001; Anthony J. Bagnall; Thomas Guyet; Georgiana Ifrim; Vincent Lemaire 001; Ulf Leser; Colin Leverger; Simon Malinowski (AALTD@ECML/PKDD, 2023)

Evaluating Explanation Methods for Multivariate Time Series Classification. - Davide Italo Serramazza; Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (AALTD@ECML/PKDD, 2023)

Structured Summarisation of News at Scale. - Georgiana Ifrim (Text2Story@ECIR, 2023)

Going The Distance: Reflections on Using Robot Racing Cars for Teaching Machine Learning. - Georgiana Ifrim (HCAIep, 2023)

Explaining Fatigue in Runners Using Time Series Analysis on Wearable Sensor Data. - Bahavathy Kathirgamanathan; Thu Trang Nguyen; Brian Caulfield 001; Georgiana Ifrim; Pádraig Cunningham (PKDD/ECML Workshops (3), 2023)

An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. - Ashish Singh; Antonio Bevilacqua; Timilehin B. Aderinola; Thach Le Nguyen; Darragh Whelan; Martin O'Reilly 001; Brian Caulfield 001; Georgiana Ifrim (ECML/PKDD (6), 2023)

Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone. - Timilehin B. Aderinola; Hananeh Younesian; Darragh Whelan; Brian Caulfield 001; Georgiana Ifrim (CoRR, 2023)

AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification. - Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (CoRR, 2023)

Machine Vision-Enabled Sports Performance Analysis. - Timilehin B. Aderinola; Hananeh Younesian; Cathy Goulding; Darragh Whelan; Brian Caulfield 001; Georgiana Ifrim (CoRR, 2023)

Scalable classifier-agnostic channel selection for multivariate time series classification. - Bhaskar Dhariyal; Thach Le Nguyen; Georgiana Ifrim (Data Min. Knowl. Discov., 2023)

Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. - Ashish Singh; Antonio Bevilacqua; Thach Le Nguyen; Feiyan Hu; Kevin McGuinness; Martin O'Reilly 001; Darragh Whelan; Brian Caulfield 001; Georgiana Ifrim (Data Min. Knowl. Discov., 2023)

Accurate and Efficient Real-World Fall Detection Using Time Series Techniques. - Timilehin B. Aderinola; Luca Palmerini; Ilaria D'Ascanio; Lorenzo Chiari; Jochen Klenk; Clemens Becker; Brian Caulfield 001; Georgiana Ifrim (AALTD@ECML/PKDD, 2024)

Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. - Davide Italo Serramazza; Thach Le Nguyen; Georgiana Ifrim (ECML/PKDD (4), 2024)

A short tutorial for multivariate time series explanation using tsCaptum. - Davide Italo Serramazza; Thach Le Nguyen; Georgiana Ifrim (Softw. Impacts, 2024)

Robust explainer recommendation for time series classification. - Thu Trang Nguyen; Thach Le Nguyen; Georgiana Ifrim (Data Min. Knowl. Discov., 2024)

International Mobility for PhD Students: Key Learnings. - Cecilia O. Alm; Reynold Bailey; Sarah Jane Delany; Georgiana Ifrim; Brian Mac Namee; Esa M. Rantanen; Ferat Sahin (SIGCSE (2), 2025)