Jesse Read

发表

A distributed particle filter for nonlinear tracking in wireless sensor networks

Jesse Read, Katrin Achutegui, Joaquín Míguez, 2014, Signal Process..

Low-latency multi-threaded ensemble learning for dynamic big data streams

Eduard Ayguadé, Jesse Read, Albert Bifet, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Labeling sensing data for mobility modeling

Jesse Read, Indre Zliobaite, Jaakko Hollmén, 2016, Inf. Syst..

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

Jesse Read, Tuukka Tolvanen, Indre Zliobaite, 2018, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data

Geoff Holmes, Jesse Read, Albert Bifet, 2012, IDA.

Ubiquitous Artificial Intelligence and Dynamic Data Streams

Jesse Read, Albert Bifet, 2018, DEBS.

Echo State Hoeffding Tree Learning

Eduard Ayguadé, Talel Abdessalem, Jesse Read, 2016, ACML.

Multi-label Classification using Labels as Hidden Nodes pdf

Jesse Read, Jaakko Hollmén, J. Read, 2015, ArXiv.

Correction to: Adaptive random forests for evolving data stream classification

Talel Abdessalem, Geoff Holmes, Jean Paul Barddal, 2019, Machine Learning.

Detection of sleep spindles in NREM 2 sleep stages: Preliminary study & benchmarking of algorithms

Jesse Read, Sammy Khalife, Olivier Pallanca, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Set Labelling using Multi-label Classification

Stéphane Bressan, Talel Abdessalem, Jesse Read, 2018, iiWAS.

Data Stream Classification Using Random Feature Functions and Novel Method Combinations

Jesse Read, Albert Bifet, Nacho Navarro, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Multi-label Classification with Meta-Labels

Jesse Read, Albert Bifet, Antti Puurula, 2014, 2014 IEEE International Conference on Data Mining.

CD-MOA: Change Detection Framework for Massive Online Analysis

Geoff Holmes, Jesse Read, Albert Bifet, 2013, IDA.

Error-space representations for multi-dimensional data streams with temporal dependence

Michalis Vazirgiannis, Jesse Read, Nikolaos Tziortziotis, 2018, Pattern Analysis and Applications.

Adaptive random forests for evolving data stream classification

Talel Abdessalem, Geoff Holmes, Jean Paul Barddal, 2017, Machine Learning.

Efficient monte carlo optimization for multi-label classifier chains

Luca Martino, David Luengo, Jesse Read, 2012, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Efficient multi-label classification for evolving data streams

Geoffrey Holmes, Jesse Read, Albert Bifet, 2010 .

Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them

Geoff Holmes, Jesse Read, Albert Bifet, 2013, ECML/PKDD.

Multi-label Classification Using Ensembles of Pruned Sets

Geoff Holmes, Jesse Read, Bernhard Pfahringer, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Streaming Multi-label Classification

Geoff Holmes, Jesse Read, Albert Bifet, 2011, WAPA.

Perturb and Combine to Identify Influential Spreaders in Real-World Networks

Michalis Vazirgiannis, Jesse Read, Fragkiskos D. Malliaros, 2018, 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Efficient monte carlo methods for multi-dimensional learning with classifier chains

Luca Martino, David Luengo, Jesse Read, 2012, Pattern Recognit..

Efficient data stream classification via probabilistic adaptive windows

Geoff Holmes, Jesse Read, Albert Bifet, 2013, SAC '13.

EXAD: A System for Explainable Anomaly Detection on Big Data Traces

Jesse Read, Yanlei Diao, Fei Song, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

A Deep Interpretation of Classifier Chains

Jesse Read, Jaakko Hollmén, J. Read, 2014, IDA.

Multi-label Classication

Jesse Read, 2013 .

Scalable Multi-label Classification

Jesse Read, J. Read, 2010 .

Classifier chains for multi-label classification

Geoff Holmes, Jesse Read, Bernhard Pfahringer, 2009, Machine Learning.

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Yuzuru Tanaka, 2017, Lecture Notes in Computer Science.

MEKA: A Multi-label/Multi-target Extension to WEKA

Geoff Holmes, Jesse Read, Bernhard Pfahringer, 2016, J. Mach. Learn. Res..

Data Stream Mining

Jesse Read, Albert Bifet, A. Bifet, 2014 .

Streaming Random Patches for Evolving Data Stream Classification

Heitor Murilo Gomes, Jesse Read, Albert Bifet, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

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

Geoff Holmes, Jesse Read, Albert Bifet, 2015, Machine Learning.

Scikit-Multiflow: A Multi-output Streaming Framework pdf

Talel Abdessalem, Jesse Read, Albert Bifet, 2018, J. Mach. Learn. Res..

Stream Data Mining Using the MOA Framework

Thomas Seidl, Geoff Holmes, Jesse Read, 2012, DASFAA.

Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation pdf

Jesse Read, J. Read, 2018, ArXiv.

Efficient Monte Carlo Optimization for Multi-dimensional Classifier Chains

Luca Martino, David Luengo, Jesse Read, 2012 .

Streaming Data Mining with Massive Online Analytics (MOA)

Geoff Holmes, Jesse Read, Albert Bifet, 2018 .

Classifier Chains for Multi-label Classification

Geoff Holmes, Jesse Read, Bernhard Pfahringer, 2009, ECML/PKDD.

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling

Luca Martino, David Luengo, Jesse Read, 2012, IEEE Transactions on Signal Processing.

Scalable Model-Based Cascaded Imputation of Missing Data

Talel Abdessalem, Jesse Read, Albert Bifet, 2018, PAKDD.

Learning Fast and Slow: A Unified Batch/Stream Framework

Talel Abdessalem, Jesse Read, Albert Bifet, 2018, 2018 IEEE International Conference on Big Data (Big Data).

An analysis of ambulatory blood pressure monitoring using multi-label classification

Jesse Read, Nesma Settouti, Mohammed Amine Chikh, 2018, Australasian Physical & Engineering Sciences in Medicine.

Kaggle LSHTC4 Winning Solution pdf

Jesse Read, Albert Bifet, Antti Puurula, 2014, ArXiv.

Scalable and efficient multi-label classification for evolving data streams

Geoff Holmes, Jesse Read, Albert Bifet, 2012, Machine Learning.

MOA: A Real-Time Analytics Open Source Framework

Thomas Seidl, Geoff Holmes, Jesse Read, 2011, ECML/PKDD.

Multi-label methods for prediction with sequential data

Luca Martino, Jesse Read, Jaakko Hollmén, 2015, Pattern Recognit..

Multi-Dimensional Classification with Super-Classes

Concha Bielza, Pedro Larrañaga, Jesse Read, 2014, IEEE Transactions on Knowledge and Data Engineering.

Data Stream Classification Using Random Feature Functions and Novel Method Combinations

Jesse Read, Albert Bifet, 2015, TrustCom/BigDataSE/ISPA.

Scalable multi-output label prediction: From classifier chains to classifier trellises

Luca Martino, David Luengo, Pablo M. Olmos, 2015, Pattern Recognit..

Independent doubly Adaptive Rejection Metropolis Sampling

Luca Martino, David Luengo, Jesse Read, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Viterbi Classifier Chains for Multi-Dimensional Learning

Luca Martino, Jesse Read, Francisco Louzada, 2015 .

Probabilistic Regressor Chains with Monte Carlo Methods

Jesse Read, Luca Martino, 2020, Neurocomputing.

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Taneli Mielikäinen, 2017, Lecture Notes in Computer Science.

A Blended Metric for Multi-label Optimisation and Evaluation

Jesse Read, Laurence A. F. Park, 2018, ECML/PKDD.

Advances in Multi-label Classification

Jesse Read, 2011 .

A Pruned Problem Transformation Method for Multi-label Classification

Jesse Read, J. Read, 2008 .

Cooperative parallel particle filters for online model selection and applications to urban mobility

Luca Martino, Victor Elvira, Jesse Read, 2015, Digit. Signal Process..

On the flexibility of the design of multiple try Metropolis schemes

Luca Martino, Jesse Read, J. Read, 2012, Computational Statistics.

Multi-label Classification

Jesse Read, Albert Bifet, A. Bifet, 2014 .

Optimality in Noisy Importance Sampling pdf

Luca Martino, Jesse Read, Fernando Llorente, 2022, Signal Processing.

Learning from evolving data streams through ensembles of random patches

Heitor Murilo Gomes, Jesse Read, Albert Bifet, 2021, Knowledge and Information Systems.

A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams pdf

Heitor Murilo Gomes, Jesse Read, Albert Bifet, 2021, ACM Comput. Surv..

Identifying the main drivers for the production and maturation of Scots pine tracheids along a temperature gradient

Jesse Read, Jaakko Hollmén, Harri Mäkinen, 2017 .