This is the home for open code, data and research publications for MLGIG (Machine Learning Research Group of Dr Georgiana Ifrim). Below is a list of our public repositories organised mainly into Time Series Classification (algorithms, applications), Time Series Explanation, Data Challenges, Sequence Learning and Text Mining.
Where we apply our knowledge of machine learning modeling and time series modeling:
- 2024 VistaMilk-challenge-lactose-prediction-regression (1st place)
- 2022 VistaMilk-challenge-diet-classification (1st place)
- 2021 VistaMilk-spectroscopy-challenge-predict-milk-traits-regression (2nd place)
- 2014 SNOW Data Challenge (1st prize): Twitter Topics (1st place)
- MRSQM: Multiple Representation Sequence Miner
- MRSEQL: Multiple Representation Sequence Learner
- Fast Channel Selection for Multivariate Time Series Classification
- Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms
- An Examination of the State-of-the-Art for Multivariate Time Series Classification
- 2024 Accurate and Efficient Real-World Fall Detection Using Time Series Techniques
- 2023 An Examination of Wearable Sensors versus Video Data Capture for Human Exercise Classification
- 2022 Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
- 2021 Interpretable Classification of Human Exercise Videos through Pose Estimation and Multivariate Time Series Analysis
- 2024 tsCaptum - A library for univariate and multivariate time series explanation
- 2024 Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
- 2024 AMEE: Robust explainer recommendation for time series classification
- 2023 Evaluating-Explanation-Methods-for-MTSC