Georgiana Ifrim

85 papers A* 8A 2B 2Journal 35Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Georgiana Ifrim, Anthony J. Bagnall, Simon Malinowski, Patrick Schäfer, Romain Tavenard
2025	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Georgiana Ifrim, Anthony J. Bagnall, Thomas Guyet, Simon Malinowski, Patrick Schäfer, Romain Tavenard
2025	J	`jnl`	An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification. CoRR Davide Italo Serramazza, Nikos Papadeas, Zahraa Abdallah, Georgiana Ifrim
2025	—	`conf`	An Empirical Evaluation of Foundation Models for Multivariate Time Series Classification. ECML/PKDD (8) Pinar Sungu Isiacik, Thach Le Nguyen, Timilehin B. Aderinola, Georgiana Ifrim
2025	—	`conf`	International Mobility for PhD Students: Key Learnings. SIGCSE (2) Cecilia O. Alm, Reynold Bailey, Sarah Jane Delany, Georgiana Ifrim, Brian Mac Namee, Esa M. Rantanen, Ferat Sahin
2025	—	`conf`	TSHAP: Fast and Exact SHAP for Explaining Time Series Classification and Regression. ECML/PKDD (4) Thach Le Nguyen, Georgiana Ifrim
2025	J	`jnl`	Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarios. CoRR Timilehin B. Aderinola, Luca Palmerini, Ilaria D'Ascanio, Lorenzo Chiari, Jochen Klenk, Clemens Becker, Brian Caulfield, Georgiana Ifrim
2024	J	`jnl`	A short tutorial for multivariate time series explanation using tsCaptum. Softw. Impacts Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
2024	—	`conf`	Accurate and Efficient Real-World Fall Detection Using Time Series Techniques. AALTD@ECML/PKDD Timilehin B. Aderinola, Luca Palmerini, Ilaria D'Ascanio, Lorenzo Chiari, Jochen Klenk, Clemens Becker, Brian Caulfield, Georgiana Ifrim
2024	—	`conf`	Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. ECML/PKDD (4) Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
2024	J	`jnl`	Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. CoRR Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
2024	J	`jnl`	Robust explainer recommendation for time series classification. Data Min. Knowl. Discov. Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
2023	J	`jnl`	AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification. CoRR Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
2023	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers AALTD@ECML/PKDD Thomas Guyet, Georgiana Ifrim, Simon Malinowski, Anthony J. Bagnall, Patrick Schäfer, Vincent Lemaire
2023	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers AALTD@ECML/PKDD Georgiana Ifrim, Romain Tavenard, Anthony J. Bagnall, Patrick Schäfer, Simon Malinowski, Thomas Guyet, Vincent Lemaire
2023	—	`conf`	An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. ECML/PKDD (6) Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim
2023	J	`jnl`	An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. CoRR Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim
2023	—	`conf`	Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. AALTD@ECML/PKDD Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
2023	J	`jnl`	Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. CoRR Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
2023	—	`conf`	Evaluating Explanation Methods for Multivariate Time Series Classification. AALTD@ECML/PKDD Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
2023	J	`jnl`	Evaluating Explanation Methods for Multivariate Time Series Classification. CoRR Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
2023	—	`conf`	Explaining Fatigue in Runners Using Time Series Analysis on Wearable Sensor Data. PKDD/ECML Workshops (3) Bahavathy Kathirgamanathan, Thu Trang Nguyen, Brian Caulfield, Georgiana Ifrim, Pádraig Cunningham
2023	J	`jnl`	Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Min. Knowl. Discov. Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
2023	—	`conf`	Going The Distance: Reflections on Using Robot Racing Cars for Teaching Machine Learning. HCAIep Georgiana Ifrim
2023	—	`conf`	Human Activity Segmentation Challenge @ ECML/PKDD'23. AALTD@ECML/PKDD Arik Ermshaus, Patrick Schäfer, Anthony J. Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger, Simon Malinowski
2023	J	`jnl`	Machine Vision-Enabled Sports Performance Analysis. CoRR Timilehin B. Aderinola, Hananeh Younesian, Cathy Goulding, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
2023	J	`jnl`	Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone. CoRR Timilehin B. Aderinola, Hananeh Younesian, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
2023	J	`jnl`	Scalable classifier-agnostic channel selection for multivariate time series classification. Data Min. Knowl. Discov. Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
2023	—	`conf`	Structured Summarisation of News at Scale. Text2Story@ECIR Georgiana Ifrim
2022	J	`jnl`	A short tutorial for time series classification and explanation with MrSQM. Softw. Impacts Thach Le Nguyen, Georgiana Ifrim
2022	J	`jnl`	Automated Mobility Context Detection with Inertial Signals. CoRR Antonio Bevilacqua, Lisa Alcock, Brian Caulfield, Eran Gazit, Clint Hansen, Neil Ireson, Georgiana Ifrim
2022	—	`conf`	Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning. ACL (1) Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim
2022	J	`jnl`	Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning. CoRR Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim
2022	—	`conf`	Fast Time Series Classification with Random Symbolic Subsequences. AALTD@ECML/PKDD Thach Le Nguyen, Georgiana Ifrim
2022	J	`jnl`	Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. CoRR Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
2022	J	`jnl`	Scalable Classifier-Agnostic Channel Selection for MTSC. CoRR Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
2021	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
2021	—	`conf`	Fast Channel Selection for Scalable Multivariate Time Series Classification. AALTD@ECML/PKDD Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
2021	J	`jnl`	Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset. CoRR Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
2021	B	`conf`	Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Image Processing Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
2021	—	`ed.`	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 ECML/PKDD (5) Yuxiao Dong, Georgiana Ifrim, Dunja Mladenic, Craig Saunders, Sofie Van Hoecke
2021	J	`jnl`	MrSQM: Fast Time Series Classification with Symbolic Representations. CoRR Thach Le Nguyen, Georgiana Ifrim
2021	—	`conf`	Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification. AALTD@ECML/PKDD Surabhi Agarwal, Trang Thu Nguyen, Thach Le Nguyen, Georgiana Ifrim
2020	A*	`conf`	A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal. ACL Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, Georgiana Ifrim
2020	J	`jnl`	A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal. CoRR Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, Georgiana Ifrim
2020	—	`conf`	A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification. AALTD@PKDD/ECML Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
2020	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers AALTD@PKDD/ECML Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
2020	—	`conf`	An Examination of the State-of-the-Art for Multivariate Time Series Classification. ICDM (Workshops) Bhaskar Dhariyal, Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim
2020	J	`jnl`	Background Knowledge Injection for Interpretable Sequence Classification. CoRR Severin Gsponer, Luca Costabello, Chan Le Van, Sumit Pai, Christophe Guéret, Georgiana Ifrim, Freddy Lécué
2020	A*	`conf`	Examining the State-of-the-Art in News Timeline Summarization. ACL Demian Gholipour Ghalandari, Georgiana Ifrim
2020	J	`jnl`	Examining the State-of-the-Art in News Timeline Summarization. CoRR Demian Gholipour Ghalandari, Georgiana Ifrim
2020	J	`jnl`	Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations. CoRR Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim
2020	—	`conf`	The Ants Have Megaphones Now: Text Mining and Summarization for News and Social Media Streams. AI4Narratives@IJCAI Georgiana Ifrim
2019	J	`jnl`	Guest editorial for special issue on time series classification. IEEE CAA J. Autom. Sinica Houshang Darabi, Georgiana Ifrim, Patrick Schäfer, Diego Furtado Silva
2019	J	`jnl`	Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations. Data Min. Knowl. Discov. Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim
2019	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I ECML/PKDD (1) Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
2019	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II ECML/PKDD (2) Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
2019	—	`conf`	SocialTree: Socially Augmented Structured Summaries of News Stories. HT Gevorg Poghosyan, Georgiana Ifrim
2018	J	`jnl`	Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. IEEE Trans. Knowl. Data Eng. Bichen Shi, Gevorg Poghosyan, Georgiana Ifrim, Neil Hurley
2018	J	`jnl`	Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains. CoRR Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Georgiana Ifrim
2018	J	`jnl`	Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. CoRR Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim
2017	—	`conf`	Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. ECML/PKDD (2) Severin Gsponer, Barry Smyth, Georgiana Ifrim
2017	J	`jnl`	On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools. CoRR Georgiana Ifrim, Derek Greene, Mark T. Keane, Claudia Orellana-Rodriguez, Bichen Shi, Gevorg Poghosyan
2017	A*	`conf`	Time Series Classification by Sequence Learning in All-Subsequence Space. ICDE Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim
2016	A*	`conf`	Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News. WWW Bichen Shi, Georgiana Ifrim, Neil J. Hurley
2016	—	`conf`	Topy: Real-Time Story Tracking via Social Tags. ECML/PKDD (3) Gevorg Poghosyan, Muhammad Atif Qureshi, Georgiana Ifrim
2015	J	`jnl`	A Machine Learning Approach to Predicting the Smoothed Complexity of Sorting Algorithms. CoRR Bichen Shi, Michel P. Schellekens, Georgiana Ifrim
2015	—	`conf`	Constructing Subsumption Hierarchies of Web Queries. USEWOD-PROFILES@ESWC Alexander Prohaska, Christos Tryfonopoulos, Georgiana Ifrim
2014	J	`jnl`	Analyzing the impact of electricity price forecasting on energy cost-aware scheduling. Sustain. Comput. Informatics Syst. Diarmuid Grimes, Georgiana Ifrim, Barry O'Sullivan, Helmut Simonis
2014	J	`jnl`	Be In The Know: Connecting News Articles to Relevant Twitter Conversations. CoRR Bichen Shi, Georgiana Ifrim, Neil Hurley
2014	—	`conf`	Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering. SNOW-DC@WWW Georgiana Ifrim, Bichen Shi, Igor Brigadir
2014	—	`conf`	Insight4News: Connecting News to Relevant Social Conversations. ECML/PKDD (3) Bichen Shi, Georgiana Ifrim, Neil Hurley
2013	A	`conf`	Describing and Generating Solutions for the EDF Unit Commitment Problem with the ModelSeeker. CP Nicolas Beldiceanu, Georgiana Ifrim, Arnaud Lenoir, Helmut Simonis
2012	A	`conf`	Properties of Energy-Price Forecasts for Scheduling. CP Georgiana Ifrim, Barry O'Sullivan, Helmut Simonis
2011	A*	`conf`	Bounded coordinate-descent for biological sequence classification in high dimensional predictor space. KDD Georgiana Ifrim, Carsten Wiuf
2010	J	`jnl`	Bounded Coordinate-Descent for Biological Sequence Classification in High Dimensional Predictor Space CoRR Georgiana Ifrim, Carsten Wiuf
2010	B	`conf`	The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. COLING Lizhen Qu, Georgiana Ifrim, Gerhard Weikum
2009	J	`jnl`	Generating Concise and Readable Summaries of XML Documents CoRR Maya Ramanath, Kondreddi Sarath Kumar, Georgiana Ifrim
2009	—	`—`	Statistical learning techniques for text categorization with sparse labeled data. Georgiana Ifrim
2008	A*	`conf`	Fast logistic regression for text categorization with variable-length n-grams. KDD Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum
2008	A*	`conf`	NAGA: Searching and Ranking Knowledge. ICDE Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath, Gerhard Weikum
2008	—	`conf`	NAGA: harvesting, searching and ranking knowledge. SIGMOD Conference Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
2006	A*	`conf`	Combining linguistic and statistical analysis to extract relations from web documents. KDD Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum
2006	—	`conf`	LEILA: Learning to Extract Information by Linguistic Analysis. OntologyLearning@COLING/ACL Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum
2006	—	`conf`	Transductive Learning for Text Classification Using Explicit Knowledge Models. PKDD Georgiana Ifrim, Gerhard Weikum