Georgiana Ifrim

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 47

Top Venues

CoRR

AALTD@ECML/PKDD

Data Min. Knowl. Discov.

ECML/PKDD (3)

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

Davide Italo Serramazza, Thach Le Nguyen, Georgiana Ifrim
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification. CoRR (2024)
Timilehin B. Aderinola, Hananeh Younesian, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone. CoRR (2023)
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)
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 (2023)
Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification. CoRR (2023)
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)
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) (2023)
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. AALTD@ECML/PKDD (2023)
Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
Evaluating Explanation Methods for Multivariate Time Series Classification. CoRR (2023)
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms. CoRR (2023)
Timilehin B. Aderinola, Hananeh Younesian, Cathy Goulding, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
Machine Vision-Enabled Sports Performance Analysis. CoRR (2023)
Georgiana Ifrim
Going The Distance: Reflections on Using Robot Racing Cars for Teaching Machine Learning. HCAIep (2023)
Davide Italo Serramazza, Thu Trang Nguyen, Thach Le Nguyen, Georgiana Ifrim
Evaluating Explanation Methods for Multivariate Time Series Classification. AALTD@ECML/PKDD (2023)
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Scalable classifier-agnostic channel selection for multivariate time series classification. Data Min. Knowl. Discov. 37 (2) (2023)
Georgiana Ifrim
Structured Summarisation of News at Scale. Text2Story@ECIR (2023)
Thach Le Nguyen, Georgiana Ifrim
Fast Time Series Classification with Random Symbolic Subsequences. AALTD@ECML/PKDD (2022)
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Scalable Classifier-Agnostic Channel Selection for MTSC. CoRR (2022)
Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning. CoRR (2022)
Thach Le Nguyen, Georgiana Ifrim
A short tutorial for time series classification and explanation with MrSQM. Softw. Impacts 11 (2022)
Antonio Bevilacqua, Lisa Alcock, Brian Caulfield, Eran Gazit, Clint Hansen, Neil Ireson, Georgiana Ifrim
Automated Mobility Context Detection with Inertial Signals. CoRR (2022)
Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning. ACL (1) (2022)
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 (2022)
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 (2021)
Thach Le Nguyen, Georgiana Ifrim
MrSQM: Fast Time Series Classification with Symbolic Representations. CoRR (2021)
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)
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim
Fast Channel Selection for Scalable Multivariate Time Series Classification. AALTD@ECML/PKDD (2021)
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)
Demian Gholipour Ghalandari, Georgiana Ifrim
Examining the State-of-the-Art in News Timeline Summarization. ACL (2020)
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)
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)
Georgiana Ifrim
The Ants Have Megaphones Now: Text Mining and Summarization for News and Social Media Streams. AI4Narratives@IJCAI (2020)
Demian Gholipour Ghalandari, Georgiana Ifrim
Examining the State-of-the-Art in News Timeline Summarization. CoRR (2020)
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)
Severin Gsponer, Luca Costabello, Chan Le Van, Sumit Pai, Christophe Guéret, Georgiana Ifrim, Freddy Lécué
Background Knowledge Injection for Interpretable Sequence Classification. CoRR (2020)
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 (2020)
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 (2020)
Gevorg Poghosyan, Georgiana Ifrim
SocialTree: Socially Augmented Structured Summaries of News Stories. HT (2019)
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) (2019)
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) (2019)
Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams. CoRR (2018)
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 (2018)
Bichen Shi, Gevorg Poghosyan, Georgiana Ifrim, Neil Hurley
Hashtagger+: Efficient High-Coverage Social Tagging of Streaming News. IEEE Trans. Knowl. Data Eng. 30 (1) (2018)
Severin Gsponer, Barry Smyth, Georgiana Ifrim
Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. ECML/PKDD (2) (2017)
Thach Le Nguyen, Severin Gsponer, Georgiana Ifrim
Time Series Classification by Sequence Learning in All-Subsequence Space. ICDE (2017)
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 (2017)
Bichen Shi, Georgiana Ifrim, Neil J. Hurley
Learning-to-Rank for Real-Time High-Precision Hashtag Recommendation for Streaming News. WWW (2016)
Gevorg Poghosyan, Muhammad Atif Qureshi, Georgiana Ifrim
Topy: Real-Time Story Tracking via Social Tags. ECML/PKDD (3) (2016)
Bichen Shi, Michel P. Schellekens, Georgiana Ifrim
A Machine Learning Approach to Predicting the Smoothed Complexity of Sorting Algorithms. CoRR (2015)
Alexander Prohaska, Christos Tryfonopoulos, Georgiana Ifrim
Constructing Subsumption Hierarchies of Web Queries. USEWOD-PROFILES@ESWC (2015)
Georgiana Ifrim, Bichen Shi, Igor Brigadir
Event Detection in Twitter using Aggressive Filtering and Hierarchical Tweet Clustering. SNOW-DC@WWW (2014)
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) (2014)
Bichen Shi, Georgiana Ifrim, Neil Hurley
Be In The Know: Connecting News Articles to Relevant Twitter Conversations. CoRR (2014)
Bichen Shi, Georgiana Ifrim, Neil Hurley
Insight4News: Connecting News to Relevant Social Conversations. ECML/PKDD (3) (2014)
Nicolas Beldiceanu, Georgiana Ifrim, Arnaud Lenoir, Helmut Simonis
Describing and Generating Solutions for the EDF Unit Commitment Problem with the ModelSeeker. CP (2013)
Georgiana Ifrim, Barry O'Sullivan, Helmut Simonis
Properties of Energy-Price Forecasts for Scheduling. CP (2012)
Georgiana Ifrim, Carsten Wiuf
Bounded coordinate-descent for biological sequence classification in high dimensional predictor space. KDD (2011)
Lizhen Qu, Georgiana Ifrim, Gerhard Weikum
The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. COLING (2010)
Georgiana Ifrim, Carsten Wiuf
Bounded Coordinate-Descent for Biological Sequence Classification in High Dimensional Predictor Space CoRR (2010)
Maya Ramanath, Kondreddi Sarath Kumar, Georgiana Ifrim
Generating Concise and Readable Summaries of XML Documents CoRR (2009)
Georgiana Ifrim, Gökhan H. Bakir, Gerhard Weikum
Fast logistic regression for text categorization with variable-length n-grams. KDD (2008)
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
NAGA: harvesting, searching and ranking knowledge. SIGMOD Conference (2008)
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath, Gerhard Weikum
NAGA: Searching and Ranking Knowledge. ICDE (2008)
Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum
Combining linguistic and statistical analysis to extract relations from web documents. KDD (2006)
Georgiana Ifrim, Gerhard Weikum
Transductive Learning for Text Classification Using Explicit Knowledge Models. PKDD (2006)
Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum
LEILA: Learning to Extract Information by Linguistic Analysis. OntologyLearning@COLING/ACL (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Georgiana Ifrim