Jesse Read - RankMe

131 papers A* 8A 1B 8C 2Misc 4Journal 76Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Binary Split Categorical Feature with Mean Absolute Error Criteria in CART. AAAI Peng Yu, Yike Chen, Chao Xu, Albert Bifet, Jesse Read
2026	J	`jnl`	SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams. IEEE Trans. Knowl. Data Eng. Heitor Murilo Gomes, Jesse Read, Maciej Grzenda, Bernhard Pfahringer, Albert Bifet
2026	A*	`conf`	Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach. AAAI Clément Elliker, Jesse Read, Sonia Vanier, Albert Bifet
2025	J	`jnl`	Binary Split Categorical feature with Mean Absolute Error Criteria in CART. CoRR Peng Yu, Yike Chen, Chao Xu, Albert Bifet, Jesse Read
2025	A*	`conf`	Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO. ICML Ayman Chaouki, Jesse Read, Albert Bifet
2025	—	`conf`	Determining the Need for Multi-label Classifiers by Measuring Unexplained Covariance. PAKDD (6) Laurence A. F. Park, Jesse Read
2025	J	`jnl`	Estimating Conditional Covariance between labels for Multilabel Data. CoRR Laurence A. F. Park, Jesse Read
2025	J	`jnl`	Estimating Multi-Label Expected Accuracy Using Labelset Distributions. IEEE Trans. Knowl. Data Eng. Laurence A. F. Park, Jesse Read
2025	J	`jnl`	Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models. CoRR Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Sonali Parbhoo, Jesse Read
2025	J	`jnl`	Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning. CoRR Simo Alami C, Rim Kaddah, Jesse Read, Marie-Paule Cani
2025	—	`conf`	I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation. ECML/PKDD (6) Lucas Thil, Jesse Read, Rim Kaddah, Guillaume Florent Doquet
2025	J	`jnl`	I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation. CoRR Lucas Thil, Jesse Read, Rim Kaddah, Guillaume Florent Doquet
2025	J	`jnl`	Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach. CoRR Clément Elliker, Jesse Read, Sonia Vanier, Albert Bifet
2025	J	`jnl`	Supervised Learning from Data Streams: An Overview and Update. ACM Comput. Surv. Jesse Read, Indre Zliobaite
2025	J	`jnl`	Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines. CoRR Lucas Thil, Jesse Read, Rim Kaddah, Guillaume Florent Doquet
2024	J	`jnl`	Autoreplicative random forests with applications to missing value imputation. Mach. Learn. Ekaterina Antonenko, Ander Carreño, Jesse Read
2024	—	`conf`	Backward Inference in Probabilistic Regressor Chains with Distributional Constraints. IDA (2) Ekaterina Antonenko, Michael Mechenich, Rita Beigaite, Indre Zliobaite, Jesse Read
2024	J	`jnl`	Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees. CoRR Ayman Chaouki, Jesse Read, Albert Bifet
2024	A	`conf`	Online Learning of Decision Trees with Thompson Sampling. AISTATS Ayman Chaouki, Jesse Read, Albert Bifet
2024	J	`jnl`	Online Learning of Decision Trees with Thompson Sampling. CoRR Ayman Chaouki, Jesse Read, Albert Bifet
2023	J	`jnl`	A Historical Context for Data Streams. CoRR Indre Zliobaite, Jesse Read
2023	J	`jnl`	A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Comput. Surv. Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2023	J	`jnl`	An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning. CoRR Alban Puech, Jesse Read
2023	J	`jnl`	Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets. CoRR Ekaterina Antonenko, Jesse Read
2023	J	`jnl`	From multi-label learning to cross-domain transfer: a model-agnostic approach. Appl. Intell. Jesse Read
2023	J	`jnl`	On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG. IEEE Trans. Biomed. Eng. Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
2023	J	`jnl`	Shapley Chains: Extending Shapley Values to Classifier Chains. CoRR Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read
2023	B	`conf`	Transferable Deep Metric Learning for Clustering. IDA Mohamed Alami Chehboune, Rim Kaddah, Jesse Read
2023	J	`jnl`	Transferable Deep Metric Learning for Clustering. CoRR Simo Alami C, Rim Kaddah, Jesse Read
2023	J	`jnl`	Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool. CoRR Alban Puech, Jesse Read
2023	—	`conf`	Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk. MLHC Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo
2022	—	`conf`	An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning. ECML/PKDD (5) Alban Puech, Jesse Read
2022	—	`conf`	CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. EUSIPCO Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read
2022	J	`jnl`	CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. CoRR Mohamed Alami Chehboune, Fernando Llorente, Rim Kaddah, Luca Martino, Jesse Read
2022	—	`conf`	Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation. PKDD/ECML Workshops (2) Mohamed Alami Chehboune, Jérémie Decock, Rim Kaddah, Jesse Read
2022	J	`jnl`	Conv-NILM-Net, a causal and multi-appliance model for energy source separation. CoRR Mohamed Alami Chehboune, Jérémie Decock, Rim Kaddah, Jesse Read
2022	J	`jnl`	Estimating Multi-label Accuracy using Labelset Distributions. CoRR Laurence A. F. Park, Jesse Read
2022	J	`jnl`	From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach. CoRR Jesse Read
2022	—	`conf`	Isomorphic Cross-lingual Embeddings for Low-Resource Languages. RepL4NLP@ACL Sonal Sannigrahi, Jesse Read
2022	J	`jnl`	Isomorphic Cross-lingual Embeddings for Low-Resource Languages. CoRR Sonal Sannigrahi, Jesse Read
2022	J	`jnl`	Learning from Data Streams: An Overview and Update. CoRR Jesse Read, Indre Zliobaite
2022	J	`jnl`	Linear TreeShap. CoRR Peng Yu, Chao Xu, Albert Bifet, Jesse Read
2022	A*	`conf`	Linear tree shap. NeurIPS Peng Yu, Albert Bifet, Jesse Read, Chao Xu
2022	B	`conf`	Multi-modal Ensembles of Regressor Chains for Multi-output Prediction. IDA Ekaterina Antonenko, Jesse Read
2022	J	`jnl`	Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover. Ecol. Informatics Rita Beigaite, Jesse Read, Indre Zliobaite
2022	J	`jnl`	On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG. CoRR Eran Zvuloni, Jesse Read, Antônio H. Ribeiro, Antônio Luiz P. Ribeiro, Joachim A. Behar
2022	J	`jnl`	Optimality in Noisy Importance Sampling. CoRR Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
2022	J	`jnl`	Optimality in noisy importance sampling. Signal Process. Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
2022	B	`conf`	Shapley Chains: Extending Shapley Values to Classifier Chains. DS Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read
2021	J	`jnl`	A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams. CoRR Heitor Murilo Gomes, Maciej Grzenda, Rodrigo Fernandes de Mello, Jesse Read, Minh-Huong Le Nguyen, Albert Bifet
2021	J	`jnl`	A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers. Inf. Fusion Luca Martino, Jesse Read
2021	J	`jnl`	Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2021	J	`jnl`	Learning from evolving data streams through ensembles of random patches. Knowl. Inf. Syst. Heitor Murilo Gomes, Jesse Read, Albert Bifet, Robert J. Durrant
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I ECML/PKDD (1) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II ECML/PKDD (2) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III ECML/PKDD (3) Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano
2021	J	`jnl`	River: machine learning for streaming data in Python. J. Mach. Learn. Res. Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2021	J	`jnl`	Structure and influence in a global capital-ownership network. Appl. Netw. Sci. Sammy Khalife, Jesse Read, Michalis Vazirgiannis
2020	J	`jnl`	An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Mach. Learn. Adriano Rivolli, Jesse Read, Carlos Soares, Bernhard Pfahringer, André C. P. L. F. de Carvalho
2020	B	`conf`	Better Sign Language Translation with STMC-Transformer. COLING Kayo Yin, Jesse Read
2020	—	`conf`	Data Streams Are Time Series: Challenging Assumptions. BRACIS (2) Jesse Read, Ricardo Araújo Rios, Tatiane Nogueira, Rodrigo Fernandes de Mello
2020	J	`jnl`	Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers. CoRR Luca Martino, Jesse Read
2020	J	`jnl`	Probabilistic regressor chains with Monte Carlo methods. Neurocomputing Jesse Read, Luca Martino
2020	—	`ed.`	Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019. BigMine@KDD Albert Bifet, Michele Berlingerio, João Gama, Jesse Read, Ana Rita Nogueira
2020	J	`jnl`	River: machine learning for streaming data in Python. CoRR Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, Robin Vaysse, Adil Zouitine, Heitor Murilo Gomes, Jesse Read, Talel Abdessalem, Albert Bifet
2019	—	`conf`	Assessing the Multi-labelness of Multi-label Data. ECML/PKDD (2) Laurence A. F. Park, Yi Guo, Jesse Read
2019	J	`jnl`	Classifier Chains: A Review and Perspectives. CoRR Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2019	J	`jnl`	Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2019	—	`conf`	Empirical Analysis of a Global Capital-Ownership Network. COMPLEX NETWORKS (2) Sammy Khalife, Jesse Read, Michalis Vazirgiannis
2019	J	`jnl`	Error-space representations for multi-dimensional data streams with temporal dependence. Pattern Anal. Appl. Jesse Read, Nikolaos Tziortziotis, Michalis Vazirgiannis
2019	J	`jnl`	Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining. Int. J. Data Sci. Anal. Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu
2019	J	`jnl`	Machine learning for streaming data: state of the art, challenges, and opportunities. SIGKDD Explor. Heitor Murilo Gomes, Jesse Read, Albert Bifet, Jean Paul Barddal, João Gama
2019	—	`conf`	Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. ICONIP (1) Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read
2019	B	`conf`	Perturb and combine to identify influential spreaders in real-world networks. ASONAM Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis
2019	J	`jnl`	Probabilistic Regressor Chains with Monte Carlo Methods. CoRR Jesse Read, Luca Martino
2019	A*	`conf`	Streaming Random Patches for Evolving Data Stream Classification. ICDM Heitor Murilo Gomes, Jesse Read, Albert Bifet
2018	—	`conf`	A Blended Metric for Multi-label Optimisation and Evaluation. ECML/PKDD (1) Laurence A. F. Park, Jesse Read
2018	J	`jnl`	A survey of evaluation methods for personal route and destination prediction from mobility traces. WIREs Data Mining Knowl. Discov. Roelant A. Stegmann, Indre Zliobaite, Tuukka Tolvanen, Jaakko Hollmén, Jesse Read
2018	J	`jnl`	Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation. CoRR Jesse Read
2018	—	`conf`	Detection of sleep spindles in NREM 2 sleep stages: Preliminary study & benchmarking of algorithms. BIBM Olivier Pallanca, Sammy Khalife, Jesse Read
2018	—	`conf`	EXAD: A System for Explainable Anomaly Detection on Big Data Traces. ICDM Workshops Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet
2018	—	`conf`	Learning Fast and Slow: A Unified Batch/Stream Framework. IEEE BigData Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem
2018	J	`jnl`	Perturb and Combine to Identify Influential Spreaders in Real-World Networks. CoRR Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis
2018	—	`conf`	Scalable Model-Based Cascaded Imputation of Missing Data. PAKDD (3) Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018	J	`jnl`	Scikit-Multiflow: A Multi-output Streaming Framework. CoRR Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018	J	`jnl`	Scikit-Multiflow: A Multi-output Streaming Framework. J. Mach. Learn. Res. Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem
2018	C	`conf`	Set Labelling using Multi-label Classification. iiWAS Ngurah Agus Sanjaya, Jesse Read, Talel Abdessalem, Stéphane Bressan
2018	—	`conf`	Ubiquitous Artificial Intelligence and Dynamic Data Streams. DEBS Albert Bifet, Jesse Read
2017	J	`jnl`	Adaptive random forests for evolving data stream classification. Mach. Learn. Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
2017	J	`jnl`	Cooperative parallel particle filters for online model selection and applications to urban mobility. Digit. Signal Process. Luca Martino, Jesse Read, Víctor Elvira, Francisco Louzada
2017	J	`jnl`	Data stream classification using random feature functions and novel method combinations. J. Syst. Softw. Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro
2017	—	`conf`	Low-latency multi-threaded ensemble learning for dynamic big data streams. IEEE BigData Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III ECML/PKDD (3) Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski
2017	J	`jnl`	Multi-label methods for prediction with sequential data. Pattern Recognit. Jesse Read, Luca Martino, Jaakko Hollmén
2016	C	`conf`	Echo State Hoeffding Tree Learning. ACML Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero
2016	J	`jnl`	Labeling sensing data for mobility modeling. Inf. Syst. Jesse Read, Indre Zliobaite, Jaakko Hollmén
2016	J	`jnl`	MEKA: A Multi-label/Multi-target Extension to WEKA. J. Mach. Learn. Res. Jesse Read, Peter Reutemann, Bernhard Pfahringer, Geoff Holmes
2016	J	`jnl`	Multi-label Methods for Prediction with Sequential Data. CoRR Jesse Read, Luca Martino, Jaakko Hollmén
2016	—	`ed.`	Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2016, San Francisco, CA, USA, August 14, 2016 BigMine Wei Fan, Albert Bifet, Jesse Read, Qiang Yang, Philip S. Yu
2015	—	`conf`	Data Stream Classification Using Random Feature Functions and Novel Method Combinations. TrustCom/BigDataSE/ISPA (2) Jesse Read, Albert Bifet
2015	J	`jnl`	Data Stream Classification using Random Feature Functions and Novel Method Combinations. CoRR Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro
2015	J	`jnl`	Deep Learning for Multi-label Classification. CoRR Jesse Read, Fernando Pérez-Cruz
2015	Misc	`conf`	Deep learning in partially-labeled data streams. SAC Jesse Read, Fernando Pérez-Cruz, Albert Bifet
2015	A*	`conf`	Efficient Online Evaluation of Big Data Stream Classifiers. KDD Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer
2015	J	`jnl`	Evaluation methods and decision theory for classification of streaming data with temporal dependence. Mach. Learn. Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes
2015	J	`jnl`	Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. IEEE Trans. Signal Process. Luca Martino, Jesse Read, David Luengo
2015	J	`jnl`	Multi-label Classification using Labels as Hidden Nodes. CoRR Jesse Read, Jaakko Hollmén
2015	J	`jnl`	Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
2015	J	`jnl`	Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
2014	B	`conf`	A Deep Interpretation of Classifier Chains. IDA Jesse Read, Jaakko Hollmén
2014	J	`jnl`	A distributed particle filter for nonlinear tracking in wireless sensor networks. Signal Process. Jesse Read, Katrin Achutegui, Joaquín Míguez
2014	J	`jnl`	Efficient monte carlo methods for multi-dimensional learning with classifier chains. Pattern Recognit. Jesse Read, Luca Martino, David Luengo
2014	Misc	`conf`	Independent doubly Adaptive Rejection Metropolis Sampling. ICASSP Luca Martino, Jesse Read, David Luengo
2014	J	`jnl`	Kaggle LSHTC4 Winning Solution. CoRR Antti Puurula, Jesse Read, Albert Bifet
2014	J	`jnl`	Multi-Dimensional Classification with Super-Classes. IEEE Trans. Knowl. Data Eng. Jesse Read, Concha Bielza, Pedro Larrañaga
2014	A*	`conf`	Multi-label Classification with Meta-Labels. ICDM Jesse Read, Antti Puurula, Albert Bifet
2014	—	`conf`	WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics. WISE (2) Grigorios Tsoumakas, Apostolos Papadopoulos, Weining Qian, Stavros Vologiannidis, Alexander D'yakonov, Antti Puurula, Jesse Read, Jan Svec, Stanislav Semenov
2013	B	`conf`	CD-MOA: Change Detection Framework for Massive Online Analysis. IDA Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite
2013	Misc	`conf`	Efficient data stream classification via probabilistic adaptive windows. SAC Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes
2013	Misc	`conf`	Efficient monte carlo optimization for multi-label classifier chains. ICASSP Jesse Read, Luca Martino, David Luengo
2013	J	`jnl`	On the flexibility of the design of multiple try Metropolis schemes. Comput. Stat. Luca Martino, Jesse Read
2013	—	`conf`	Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them. ECML/PKDD (1) Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes
2012	B	`conf`	Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. IDA Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes
2012	J	`jnl`	Efficient Monte Carlo Optimization for Multi-label Classifier Chains CoRR Jesse Read, Luca Martino, David Luengo
2012	J	`jnl`	Scalable and efficient multi-label classification for evolving data streams. Mach. Learn. Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2012	—	`conf`	Stream Data Mining Using the MOA Framework. DASFAA (2) Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read
2011	J	`jnl`	Classifier chains for multi-label classification. Mach. Learn. Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2011	—	`conf`	MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD (3) Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl
2011	—	`conf`	Streaming Multi-label Classification. WAPA Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer
2009	—	`conf`	Classifier Chains for Multi-label Classification. ECML/PKDD (2) Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
2008	A*	`conf`	Multi-label Classification Using Ensembles of Pruned Sets. ICDM Jesse Read, Bernhard Pfahringer, Geoffrey Holmes