| 2024 | IDA | Backward Inference in Probabilistic Regressor Chains with Distributional Constraints. | Ekaterina Antonenko, Michael Mechenich, Rita Beigaite, Indre Zliobaite, Jesse Read |
| 2022 | DIS | Spatial Cross-Validation for Globally Distributed Data. | Rita Beigaite, Michael Mechenich, Indre Zliobaite |
| 2021 | RecSys | Recommender Systems Meet Species Distribution Modelling. | Indre Zliobaite |
| 2017 | IJCNN | BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. | Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Krkkinen, Jaakko Hollmn |
| 2016 | CBMS | Predicting Respiratory Motion for Real-Time Tumour Tracking in Radiotherapy. | Tomas Krilavicius, Indre Zliobaite, Henrikas Simonavicius, Laimonas Jarusevicius |
| 2016 | SDM | Modelling Recurrent Events for Improving Online Change Detection. | Alexandr V. Maslov, Mykola Pechenizkiy, Indre Zliobaite, Tommi Krkkinen |
| 2015 | ICML | Accessibility by Public Transport Predicts Residential Real Estate Prices: A Case Study in Helsinki Region. | Indre Zliobaite, Michael Mathioudakis, Tuukka Lehtiniemi, Pekka Parviainen, Tomi Janhunen |
| 2014 | EDBT | Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing. | Indre Zliobaite, Jaakko Hollmn |
| 2014 | IDA | From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. | Marcin Budka, Mark Eastwood, Bogdan Gabrys, Petr Kadlec, Manuel Martin Salvador, Stephanie Schwan, Athanasios Tsakonas, Indre Zliobaite |
| 2014 | KDD | High density-focused uncertainty sampling for active learning over evolving stream data. | Dino Ienco, Indre Zliobaite, Bernhard Pfahringer |
| 2014 | KES | Online Detection of Shutdown Periods in Chemical Plants: A Case Study. | Manuel Martin Salvador, Bogdan Gabrys, Indre Zliobaite |
| 2013 | DIS | Clustering Based Active Learning for Evolving Data Streams. | Dino Ienco, Albert Bifet, Indre Zliobaite, Bernhard Pfahringer |
| 2013 | IDA | CD-MOA: Change Detection Framework for Massive Online Analysis. | Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite |
| 2012 | SGAI | Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales. | Edward Tersoo Apeh, Indre Zliobaite, Mykola Pechenizkiy, Bogdan Gabrys |
| 2011 | CaiSE | Handling Concept Drift in Process Mining. | R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, Indre Zliobaite, Mykola Pechenizkiy |
| 2011 | DIS | Context-Aware Personal Route Recognition. | Oleksiy Mazhelis, Indre Zliobaite, Mykola Pechenizkiy |
| 2011 | DIS | Controlled Permutations for Testing Adaptive Classifiers. | Indre Zliobaite |
| 2011 | ICDM | Handling Conditional Discrimination. | Indre Zliobaite, Faisal Kamiran, Toon Calders |
| 2011 | PAKDD | Identifying Hidden Contexts in Classification. | Indre Zliobaite |
| 2010 | CBMS | Heart failure hospitalization prediction in remote patient management systems. | Mykola Pechenizkiy, Ekaterina Vasilyeva, Indre Zliobaite, Aleksandra Tesanovic, Goran Manev |
| 2010 | CBMS | Handling concept drift in medical applications: Importance, challenges and solutions. | Mykola Pechenizkiy, Indre Zliobaite |
| 2010 | ICDM | Change with Delayed Labeling: When is it Detectable? | Indre Zliobaite |
| 2010 | ICDM | Learning with Actionable Attributes: Attention -- Boundary Cases! | Indre Zliobaite, Mykola Pechenizkiy |
| 2009 | DIS | OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers. | Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy |
| 2009 | ICDM | Determining the Training Window for Small Sample Size Classification with Concept Drift. | Indre Zliobaite, Ludmila I. Kuncheva |
| 2009 | ICDM | Towards Context Aware Food Sales Prediction. | Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy |
| 2009 | ISMIS | Combining Time and Space Similarity for Small Size Learning under Concept Drift. | Indre Zliobaite |
| 2009 | KDD | Handling outliers and concept drift in online mass flow prediction in CFB boilers. | Jorn Bakker, Mykola Pechenizkiy, Indre Zliobaite, Andriy Ivannikov, Tommi Krkkinen |
| 2008 | SSPR | Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift. | Ludmila I. Kuncheva, Indre Zliobaite |
| 2006 | ICAISC | The Multi-Agent System for Prediction of Financial Time Series. | Sarunas Raudys, Indre Zliobaite |