Jesse Read

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 77

Top Venues

Publications

Ayman Chaouki, Jesse Read, Albert Bifet
Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees. CoRR (2024)
Ayman Chaouki, Jesse Read, Albert Bifet
Online Learning of Decision Trees with Thompson Sampling. CoRR (2024)
Ekaterina Antonenko, Michael Mechenich, Rita Beigaite, Indre Zliobaite, Jesse Read
Backward Inference in Probabilistic Regressor Chains with Distributional Constraints. IDA (2) (2024)
Ayman Chaouki, Jesse Read, Albert Bifet
Online Learning of Decision Trees with Thompson Sampling. AISTATS (2024)
Simo Alami C, Rim Kaddah, Jesse Read
Transferable Deep Metric Learning for Clustering. CoRR (2023)
Ekaterina Antonenko, Jesse Read
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets. CoRR (2023)
Alban Puech, Jesse Read
An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning. CoRR (2023)
Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo
Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk. MLHC (2023)
Indre Zliobaite, Jesse Read
A Historical Context for Data Streams. CoRR (2023)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Comput. Surv. 55 (4) (2023)
Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG. IEEE Trans. Biomed. Eng. 70 (7) (2023)
Mohamed Alami Chehboune, Rim Kaddah, Jesse Read
Transferable Deep Metric Learning for Clustering. IDA (2023)
Jesse Read
From multi-label learning to cross-domain transfer: a model-agnostic approach. Appl. Intell. 53 (21) (2023)
Alban Puech, Jesse Read
Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool. CoRR (2023)
Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read
Shapley Chains: Extending Shapley Values to Classifier Chains. CoRR (2023)
Mohamed Alami Chehboune, Fernando Llorente, Rim Kaddah, Luca Martino, Jesse Read
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. CoRR (2022)
Alban Puech, Jesse Read
An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning. ECML/PKDD (5) (2022)
Ekaterina Antonenko, Jesse Read
Multi-modal Ensembles of Regressor Chains for Multi-output Prediction. IDA (2022)
Laurence A. F. Park, Jesse Read
Estimating Multi-label Accuracy using Labelset Distributions. CoRR (2022)
Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read
Shapley Chains: Extending Shapley Values to Classifier Chains. DS (2022)
Peng Yu, Chao Xu, Albert Bifet, Jesse Read
Linear TreeShap. CoRR (2022)
Mohamed Alami Chehboune, Jérémie Decock, Rim Kaddah, Jesse Read
Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation. PKDD/ECML Workshops (2) (2022)
Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
Optimality in noisy importance sampling. Signal Process. 194 (2022)
Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
Optimality in Noisy Importance Sampling. CoRR (2022)
Jesse Read, Indre Zliobaite
Learning from Data Streams: An Overview and Update. CoRR (2022)
Mohamed Alami Chehboune, Jérémie Decock, Rim Kaddah, Jesse Read
Conv-NILM-Net, a causal and multi-appliance model for energy source separation. CoRR (2022)
Sonal Sannigrahi, Jesse Read
Isomorphic Cross-lingual Embeddings for Low-Resource Languages. CoRR (2022)
Jesse Read
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach. CoRR (2022)
Sonal Sannigrahi, Jesse Read
Isomorphic Cross-lingual Embeddings for Low-Resource Languages. RepL4NLP@ACL (2022)
Peng Yu, Albert Bifet, Jesse Read, Chao Xu
Linear tree shap. NeurIPS (2022)
Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG. CoRR (2022)
Rita Beigaite, Jesse Read, Indre Zliobaite
Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover. Ecol. Informatics 72 (2022)
Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. EUSIPCO (2022)
Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams. CoRR (2021)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. 70 (2021)
Sammy Khalife, Jesse Read, Michalis Vazirgiannis
Structure and influence in a global capital-ownership network. Appl. Netw. Sci. 6 (1) (2021)
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
River: machine learning for streaming data in Python. J. Mach. Learn. Res. 22 (2021)
Luca Martino, Jesse Read
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers. Inf. Fusion 74 (2021)
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
Learning from evolving data streams through ensembles of random patches. Knowl. Inf. Syst. 63 (7) (2021)
Jesse Read, Luca Martino
Probabilistic regressor chains with Monte Carlo methods. Neurocomputing 413 (2020)
Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
River: machine learning for streaming data in Python. CoRR (2020)
Kayo Yin, Jesse Read
Better Sign Language Translation with STMC-Transformer. COLING (2020)
Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello
Data Streams Are Time Series: Challenging Assumptions. BRACIS (2) (2020)
Luca Martino, Jesse Read
Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers. CoRR (2020)
Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. 109 (8) (2020)
Jesse Read, Nikolaos Tziortziotis, Michalis Vazirgiannis
Error-space representations for multi-dimensional data streams with temporal dependence. Pattern Anal. Appl. 22 (3) (2019)
Laurence A. F. Park, Yi Guo, Jesse Read
Assessing the Multi-labelness of Multi-label Data. ECML/PKDD (2) (2019)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108 (10) (2019)
Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining. Int. J. Data Sci. Anal. 8 (3) (2019)
Heitor Murilo Gomes, Jesse Read, Albert Bifet
Streaming Random Patches for Evolving Data Stream Classification. ICDM (2019)
Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama
Machine learning for streaming data: state of the art, challenges, and opportunities. SIGKDD Explor. 21 (2) (2019)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
Classifier Chains: A Review and Perspectives. CoRR (2019)
Jesse Read, Luca Martino
Probabilistic Regressor Chains with Monte Carlo Methods. CoRR (2019)
Sammy Khalife, Jesse Read, Michalis Vazirgiannis
Empirical Analysis of a Global Capital-Ownership Network. COMPLEX NETWORKS (2) (2019)
Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. ICONIP (1) (2019)
Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis
Perturb and combine to identify influential spreaders in real-world networks. ASONAM (2019)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
Scikit-Multiflow: A Multi-output Streaming Framework. J. Mach. Learn. Res. 19 (2018)
Albert Bifet, Jesse Read
Ubiquitous Artificial Intelligence and Dynamic Data Streams. DEBS (2018)
Ngurah Agus Sanjaya, Jesse Read, Talel Abdessalem, Stéphane Bressan
Set Labelling using Multi-label Classification. iiWAS (2018)
Olivier Pallanca, Sammy Khalife, Jesse Read
Detection of sleep spindles in NREM 2 sleep stages: Preliminary study & benchmarking of algorithms. BIBM (2018)
Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem
Learning Fast and Slow: A Unified Batch/Stream Framework. IEEE BigData (2018)
Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis
Perturb and Combine to Identify Influential Spreaders in Real-World Networks. CoRR (2018)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
Scalable Model-Based Cascaded Imputation of Missing Data. PAKDD (3) (2018)
Roelant A. Stegmann, Indre Zliobaite, Tuukka Tolvanen, Jaakko Hollmén, Jesse Read
A survey of evaluation methods for personal route and destination prediction from mobility traces. WIREs Data Mining Knowl. Discov. 8 (2) (2018)
Laurence A. F. Park, Jesse Read
A Blended Metric for Multi-label Optimisation and Evaluation. ECML/PKDD (1) (2018)
Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
Scikit-Multiflow: A Multi-output Streaming Framework. CoRR (2018)
Jesse Read
Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation. CoRR (2018)
Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet
EXAD: A System for Explainable Anomaly Detection on Big Data Traces. ICDM Workshops (2018)
Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet
Low-latency multi-threaded ensemble learning for dynamic big data streams. IEEE BigData (2017)
Luca Martino, Jesse Read, Víctor Elvira, Francisco Louzada
Cooperative parallel particle filters for online model selection and applications to urban mobility. Digit. Signal Process. 60 (2017)
Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro
Data stream classification using random feature functions and novel method combinations. J. Syst. Softw. 127 (2017)
Jesse Read, Luca Martino, Jaakko Hollmén
Multi-label methods for prediction with sequential data. Pattern Recognit. 63 (2017)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Adaptive random forests for evolving data stream classification. Mach. Learn. 106 (9-10) (2017)
Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes
MEKA: A Multi-label/Multi-target Extension to WEKA. J. Mach. Learn. Res. 17 (2016)
Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero
Echo State Hoeffding Tree Learning. ACML (2016)
Jesse Read, Indre Zliobaite, Jaakko Hollmén
Labeling sensing data for mobility modeling. Inf. Syst. 57 (2016)
Jesse Read, Luca Martino, Jaakko Hollmén
Multi-label Methods for Prediction with Sequential Data. CoRR (2016)
Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro
Data Stream Classification using Random Feature Functions and Novel Method Combinations. CoRR (2015)
Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR (2015)
Jesse Read, Fernando Pérez-Cruz
Deep Learning for Multi-label Classification. CoRR (2015)
Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes
Evaluation methods and decision theory for classification of streaming data with temporal dependence. Mach. Learn. 98 (3) (2015)
Jesse Read, Jaakko Hollmén
Multi-label Classification using Labels as Hidden Nodes. CoRR (2015)
Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. 48 (6) (2015)
Jesse Read, Albert Bifet
Data Stream Classification Using Random Feature Functions and Novel Method Combinations. TrustCom/BigDataSE/ISPA (2) (2015)
Luca Martino, Jesse Read, David Luengo
Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. IEEE Trans. Signal Process. 63 (12) (2015)
Jesse Read, Fernando Pérez-Cruz, Albert Bifet
Deep learning in partially-labeled data streams. SAC (2015)
Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer
Efficient Online Evaluation of Big Data Stream Classifiers. KDD (2015)
Antti Puurula, Jesse Read, Albert Bifet
Kaggle LSHTC4 Winning Solution. CoRR (2014)
Jesse Read, Concha Bielza, Pedro Larrañaga
Multi-Dimensional Classification with Super-Classes. IEEE Trans. Knowl. Data Eng. 26 (7) (2014)
Jesse Read, Jaakko Hollmén
A Deep Interpretation of Classifier Chains. IDA (2014)
Jesse Read, Antti Puurula, Albert Bifet
Multi-label Classification with Meta-Labels. ICDM (2014)
Grigorios Tsoumakas, Apostolos Papadopoulos, Weining Qian, Stavros Vologiannidis, Alexander D'yakonov, Antti Puurula, Jesse Read, Jan Svec, Stanislav Semenov
WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. WISE (2) (2014)
Jesse Read, Katrin Achutegui, Joaquín Míguez
A distributed particle filter for nonlinear tracking in wireless sensor networks. Signal Process. 98 (2014)
Jesse Read, Luca Martino, David Luengo
Efficient monte carlo methods for multi-dimensional learning with classifier chains. Pattern Recognit. 47 (3) (2014)
Luca Martino, Jesse Read, David Luengo
Independent doubly Adaptive Rejection Metropolis Sampling. ICASSP (2014)
Jesse Read, Luca Martino, David Luengo
Efficient monte carlo optimization for multi-label classifier chains. ICASSP (2013)
Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes
Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them. ECML/PKDD (1) (2013)
Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite
CD-MOA: Change Detection Framework for Massive Online Analysis. IDA (2013)
Luca Martino, Jesse Read
On the flexibility of the design of multiple try Metropolis schemes. Comput. Stat. 28 (6) (2013)
Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes
Efficient data stream classification via probabilistic adaptive windows. SAC (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jesse Read