Indre Zliobaite

Nat. Mach. Intell., 2019

Concept drift over geological times: predictive modeling baselines for analyzing the mammalian fossil record.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

2018

A survey of evaluation methods for personal route and destination prediction from mobility traces.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2018

2017

A 5.3 pJ/op approximate TTA VLIW tailored for machine learning.

[BibT_eX]

[DOI]

Microelectron. J., 2017

Measuring discrimination in algorithmic decision making.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2017

Fairness-aware machine learning: a perspective.

[BibT_eX]

[DOI]

CoRR, 2017

BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Labeling sensing data for mobility modeling.

[BibT_eX]

[DOI]

Jesse Read

Inf. Syst., 2016

Optimal estimates for short horizon travel time prediction in urban areas.

[BibT_eX]

[DOI]

Mikhail Khokhlov

Intell. Data Anal., 2016

A note on adjusting $R^2$ for using with cross-validation.

[BibT_eX]

[DOI]

Nikolaj Tatti

CoRR, 2016

Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models.

[BibT_eX]

[DOI]

Bart Custers

Artif. Intell. Law, 2016

Modelling Recurrent Events for Improving Online Change Detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Predicting Respiratory Motion for Real-Time Tumour Tracking in Radiotherapy.

[BibT_eX]

[DOI]

Tomas Krilavicius

Henrikas Simonavicius

Laimonas Jarusevicius

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015

Optimizing regression models for data streams with missing values.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Evaluation methods and decision theory for classification of streaming data with temporal dependence.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Towards cost-sensitive adaptation: When is it worth updating your predictive model?

[BibT_eX]

[DOI]

Marcin Budka

Frederic T. Stahl

Neurocomputing, 2015

A survey on measuring indirect discrimination in machine learning.

[BibT_eX]

[DOI]

CoRR, 2015

On the relation between accuracy and fairness in binary classification.

[BibT_eX]

[DOI]

R. P. Jagadeesh Chandra Bose

CoRR, 2015

Accessibility by Public Transport Predicts Residential Real Estate Prices: A Case Study in Helsinki Region.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2014

Active Learning With Drifting Streaming Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Dealing With Concept Drifts in Process Mining.

[BibT_eX]

[DOI]

Wil M. P. van der Aalst

IEEE Trans. Neural Networks Learn. Syst., 2014

Adaptive Preprocessing for Streaming Data.

[BibT_eX]

[DOI]

Bogdan Gabrys

IEEE Trans. Knowl. Data Eng., 2014

Towards Hardware-driven Design of Low-energy Algorithms for Data Analysis.

[BibT_eX]

[DOI]

SIGMOD Rec., 2014

Open challenges for data stream mining research.

[BibT_eX]

[DOI]

SIGKDD Explor., 2014

Controlled permutations for testing adaptive learning models.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2014

A survey on concept drift adaptation.

[BibT_eX]

[DOI]

Abdelhamid Bouchachia

ACM Comput. Surv., 2014

Online Detection of Shutdown Periods in Chemical Plants: A Case Study.

[BibT_eX]

[DOI]

Manuel Martin Salvador

Bogdan Gabrys

Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

High density-focused uncertainty sampling for active learning over evolving stream data.

[BibT_eX]

[DOI]

Dino Ienco

Bernhard Pfahringer

Proceedings of the 3rd International Workshop on Big Data, 2014

From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors.

[BibT_eX]

[DOI]

Manuel Martin Salvador

Stephanie Schwan

Athanasios Tsakonas

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

2013

Explainable and Non-explainable Discrimination in Classification.

[BibT_eX]

[DOI]

Faisal Kamiran

Proceedings of the Discrimination and Privacy in the Information Society, 2013

Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures.

[BibT_eX]

[DOI]

Toon Calders

Proceedings of the Discrimination and Privacy in the Information Society, 2013

Predictive Handling of Asynchronous Concept Drifts in Distributed Environments.

[BibT_eX]

[DOI]

Hock Hee Ang

Vivekanand Gopalkrishnan

Steven C. H. Hoi

IEEE Trans. Knowl. Data Eng., 2013

Quantifying explainable discrimination and removing illegal discrimination in automated decision making.

[BibT_eX]

[DOI]

Faisal Kamiran

Toon Calders

Knowl. Inf. Syst., 2013

Introduction to the special issue on handling concept drift in adaptive information systems.

[BibT_eX]

[DOI]

Evol. Syst., 2013

How good is the Electricity benchmark for evaluating concept drift adaptation

[BibT_eX]

[DOI]

CoRR, 2013

Predictive User Modeling with Actionable Attributes.

[BibT_eX]

[DOI]

CoRR, 2013

Fault Tolerant Regression for Sensor Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

CD-MOA: Change Detection Framework for Massive Online Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Clustering Based Active Learning for Evolving Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

Next challenges for adaptive learning systems.

[BibT_eX]

[DOI]

SIGKDD Explor., 2012

Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?

[BibT_eX]

[DOI]

Jorn Bakker

Expert Syst. Appl., 2012

Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales.

[BibT_eX]

[DOI]

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

2011

Three Data Partitioning Strategies for Building Local Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Ensembles in Machine Learning Applications, 2011

MOA Concept Drift Active Learning Strategies for Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Combining similarity in time and space for training set formation under concept drift.

[BibT_eX]

[DOI]

Intell. Data Anal., 2011

Active Learning with Evolving Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Identifying Hidden Contexts in Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Handling Conditional Discrimination.

[BibT_eX]

[DOI]

Faisal Kamiran

Toon Calders

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Controlled Permutations for Testing Adaptive Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 14th International Conference, 2011

Context-Aware Personal Route Recognition.

[BibT_eX]

[DOI]

Oleksiy Mazhelis

R. P. Jagadeesh Chandra Bose

Proceedings of the Discovery Science - 14th International Conference, 2011

Handling Concept Drift in Process Mining.

[BibT_eX]

[DOI]

Wil M. P. van der Aalst

Proceedings of the Advanced Information Systems Engineering, 2011

2010

Learning under Concept Drift: an Overview

[BibT_eX]

[DOI]

CoRR, 2010

Learning with Actionable Attributes: Attention -- Boundary Cases!

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

Change with Delayed Labeling: When is it Detectable?

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

Handling concept drift in medical applications: Importance, challenges and solutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

Heart failure hospitalization prediction in remote patient management systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009

Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift.

[BibT_eX]

[DOI]

SIGKDD Explor., 2009

On the window size for classification in changing environments.

[BibT_eX]

[DOI]

Ludmila I. Kuncheva

Intell. Data Anal., 2009

Handling outliers and concept drift in online mass flow prediction in CFB boilers.

[BibT_eX]

[DOI]

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Combining Time and Space Similarity for Small Size Learning under Concept Drift.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

Towards Context Aware Food Sales Prediction.

[BibT_eX]

[DOI]

Jorn Bakker

Proceedings of the ICDM Workshops 2009, 2009

Determining the Training Window for Small Sample Size Classification with Concept Drift.

[BibT_eX]

[DOI]

Ludmila I. Kuncheva

Proceedings of the ICDM Workshops 2009, 2009

OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers.

[BibT_eX]

[DOI]

Jorn Bakker

Proceedings of the Discovery Science, 12th International Conference, 2009

2008

Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift.

[BibT_eX]

[DOI]

Ludmila I. Kuncheva

Proceedings of the Structural, 2008

Expected Classification Error of the Euclidean Linear Classifier under Sudden Concept Drift.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

Ensemble Learning for Concept Drift Handling - the Role of New Expert.

[BibT_eX]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006

The Multi-Agent System for Prediction of Financial Time Series.

[BibT_eX]

[DOI]

Sarunas Raudys

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Prediction of Commodity Prices in Rapidly Changing Environments.

[BibT_eX]

[DOI]

Sarunas Raudys