Jesse Read

According to our database, Jesse Read authored at least 86 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Backward Inference in Probabilistic Regressor Chains with Distributional Constraints.

Ekaterina Antonenko, Michael Mechenich, Rita Beigaite, Indre Zliobaite, Jesse Read

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

From multi-label learning to cross-domain transfer: a model-agnostic approach.

Jesse Read

Appl. Intell., November, 2023

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.

Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar

IEEE Trans. Biomed. Eng., July, 2023

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

Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet

ACM Comput. Surv., 2023

A Historical Context for Data Streams.

Indre Zliobaite, Jesse Read

CoRR, 2023

Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool.

Alban Puech, Jesse Read

CoRR, 2023

Transferable Deep Metric Learning for Clustering.

Simo Alami C, Rim Kaddah, Jesse Read

CoRR, 2023

Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets.

Ekaterina Antonenko, Jesse Read

CoRR, 2023

Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk.

Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo

Proceedings of the Machine Learning for Healthcare Conference, 2023

Transferable Deep Metric Learning for Clustering.

Mohamed Alami Chehboune, Rim Kaddah, Jesse Read

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2022

Optimality in noisy importance sampling.

Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez

Signal Process., 2022

Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover.

Rita Beigaite, Jesse Read, Indre Zliobaite

Ecol. Informatics, 2022

Learning from Data Streams: An Overview and Update.

Jesse Read, Indre Zliobaite

CoRR, 2022

Linear TreeShap.

Peng Yu, Chao Xu, Albert Bifet, Jesse Read

CoRR, 2022

Estimating Multi-label Accuracy using Labelset Distributions.

Laurence A. F. Park, Jesse Read

CoRR, 2022

Isomorphic Cross-lingual Embeddings for Low-Resource Languages.

Sonal Sannigrahi, Jesse Read

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning.

Alban Puech, Jesse Read

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation.

Mohamed Alami Chehboune, Jérémie Decock, Rim Kaddah, Jesse Read

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Linear tree shap.

Peng Yu, Albert Bifet, Jesse Read, Chao Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-modal Ensembles of Regressor Chains for Multi-output Prediction.

Ekaterina Antonenko, Jesse Read

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies.

Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read

Proceedings of the 30th European Signal Processing Conference, 2022

Shapley Chains: Extending Shapley Values to Classifier Chains.

Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Learning from evolving data streams through ensembles of random patches.

Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant

Knowl. Inf. Syst., 2021

River: machine learning for streaming data in Python.

Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet

J. Mach. Learn. Res., 2021

Classifier Chains: A Review and Perspectives.

Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

J. Artif. Intell. Res., 2021

A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers.

Luca Martino, Jesse Read

Inf. Fusion, 2021

Structure and influence in a global capital-ownership network.

Sammy Khalife, Jesse Read, Michalis Vazirgiannis

Appl. Netw. Sci., 2021

2020

An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.

Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho

Mach. Learn., 2020

Probabilistic regressor chains with Monte Carlo methods.

Jesse Read, Luca Martino

Neurocomputing, 2020

Better Sign Language Translation with STMC-Transformer.

Kayo Yin, Jesse Read

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Data Streams Are Time Series: Challenging Assumptions.

Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Machine learning for streaming data: state of the art, challenges, and opportunities.

Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama

SIGKDD Explor., 2019

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

Jesse Read, Nikolaos Tziortziotis, Michalis Vazirgiannis

Pattern Anal. Appl., 2019

Correction to: Adaptive random forests for evolving data stream classification.

Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

Mach. Learn., 2019

Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining.

Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu

Int. J. Data Sci. Anal., 2019

Assessing the Multi-labelness of Multi-label Data.

Laurence A. F. Park, Yi Guo, Jesse Read

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles.

Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Streaming Random Patches for Evolving Data Stream Classification.

Heitor Murilo Gomes, Jesse Read, Albert Bifet

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Empirical Analysis of a Global Capital-Ownership Network.

Sammy Khalife, Jesse Read, Michalis Vazirgiannis

Proceedings of the Complex Networks and Their Applications VIII, 2019

Perturb and combine to identify influential spreaders in real-world networks.

Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

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

Roelant A. Stegmann, Indre Zliobaite, Tuukka Tolvanen, Jaakko Hollmén, Jesse Read

WIREs Data Mining Knowl. Discov., 2018

Scikit-Multiflow: A Multi-output Streaming Framework.

Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem

J. Mach. Learn. Res., 2018

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

Jesse Read

CoRR, 2018

A Blended Metric for Multi-label Optimisation and Evaluation.

Laurence A. F. Park, Jesse Read

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Scalable Model-Based Cascaded Imputation of Missing Data.

Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Set Labelling using Multi-label Classification.

Ngurah Agus Sanjaya, Jesse Read, Talel Abdessalem, Stéphane Bressan

Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, 2018

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

Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Ubiquitous Artificial Intelligence and Dynamic Data Streams.

Albert Bifet, Jesse Read

Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems, 2018

Learning Fast and Slow: A Unified Batch/Stream Framework.

Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

Olivier Pallanca, Sammy Khalife, Jesse Read

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Multi-label methods for prediction with sequential data.

Jesse Read, Luca Martino, Jaakko Hollmén

Pattern Recognit., 2017

Adaptive random forests for evolving data stream classification.

Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem

Mach. Learn., 2017

Data stream classification using random feature functions and novel method combinations.

Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro

J. Syst. Softw., 2017

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

Luca Martino, Jesse Read, Víctor Elvira, Francisco Louzada

Digit. Signal Process., 2017

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

Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

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

Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes

J. Mach. Learn. Res., 2016

Labeling sensing data for mobility modeling.

Jesse Read, Indre Zliobaite, Jaakko Hollmén

Inf. Syst., 2016

Echo State Hoeffding Tree Learning.

Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling.

Luca Martino, Jesse Read, David Luengo

IEEE Trans. Signal Process., 2015

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

Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo

Pattern Recognit., 2015

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

Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes

Mach. Learn., 2015

Deep Learning for Multi-label Classification.

Jesse Read, Fernando Pérez-Cruz

CoRR, 2015

Multi-label Classification using Labels as Hidden Nodes.

Jesse Read, Jaakko Hollmén

CoRR, 2015

Data Stream Classification Using Random Feature Functions and Novel Method Combinations.

Jesse Read, Albert Bifet

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Deep learning in partially-labeled data streams.

Jesse Read, Fernando Pérez-Cruz, Albert Bifet

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Efficient Online Evaluation of Big Data Stream Classifiers.

Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Multi-Dimensional Classification with Super-Classes.

Jesse Read, Concha Bielza, Pedro Larrañaga

IEEE Trans. Knowl. Data Eng., 2014

A distributed particle filter for nonlinear tracking in wireless sensor networks.

Jesse Read, Katrin Achutegui, Joaquín Míguez

Signal Process., 2014

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

Jesse Read, Luca Martino, David Luengo

Pattern Recognit., 2014

Kaggle LSHTC4 Winning Solution.

Antti Puurula, Jesse Read, Albert Bifet

CoRR, 2014

WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics.

Grigorios Tsoumakas, Apostolos Papadopoulos, Weining Qian, Stavros Vologiannidis, Alexander D'yakonov, Antti Puurula, Jesse Read, Jan Svec, Stanislav Semenov

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

A Deep Interpretation of Classifier Chains.

Jesse Read, Jaakko Hollmén

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Multi-label Classification with Meta-Labels.

Jesse Read, Antti Puurula, Albert Bifet

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Independent doubly Adaptive Rejection Metropolis Sampling.

Luca Martino, Jesse Read, David Luengo

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

On the flexibility of the design of multiple try Metropolis schemes.

Luca Martino, Jesse Read

Comput. Stat., 2013

Efficient data stream classification via probabilistic adaptive windows.

Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

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

Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes

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

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

Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Efficient monte carlo optimization for multi-label classifier chains.

Jesse Read, Luca Martino, David Luengo

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Scalable and efficient multi-label classification for evolving data streams.

Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

Mach. Learn., 2012

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

Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Stream Data Mining Using the MOA Framework.

Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read

Proceedings of the Database Systems for Advanced Applications, 2012

2011

Classifier chains for multi-label classification.

Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank

Mach. Learn., 2011

Streaming Multi-label Classification.

Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer

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

MOA: A Real-Time Analytics Open Source Framework.

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl

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

2008

Multi-label Classification Using Ensembles of Pruned Sets.

Jesse Read, Bernhard Pfahringer, Geoffrey Holmes

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008