SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams.

Jesse Read

Heitor Murilo Gomes Jesse Read Maciej Grzenda Bernhard Pfahringer Albert Bifet SLEADE: Disagreement-Based Semi-Supervised Learning for Sparsely Labeled Evolving Data Streams. 2026 March 1973-1985 38 IEEE Trans. Knowl. Data Eng. 3 https://doi.org/10.1109/TKDE.2025.3647050 db/journals/tkde/tkde38.html#GomesRGPB26 streams/journals/tkde

Clément Elliker Jesse Read Sonia Vanier Albert Bifet Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach. 20977-20984 2026 AAAI https://doi.org/10.1609/aaai.v40i25.39239 conf/aaai/2026 db/conf/aaai/aaai2026.html#EllikerRVB26 Peng Yu Yike Chen Chao Xu 0002 Albert Bifet Jesse Read Binary Split Categorical Feature with Mean Absolute Error Criteria in CART. 27961-27968 2026 AAAI https://doi.org/10.1609/aaai.v40i33.40020 conf/aaai/2026 db/conf/aaai/aaai2026.html#YuCXBR26

Milad Leyli-Abadi Lucas Thil Sébastien Razakarivony Guillaume Florent Doquet Jesse Read A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation. 2026 April abs/2604.08460 CoRR https://doi.org/10.48550/arXiv.2604.08460 db/journals/corr/corr2604.html#abs-2604-08460 streams/journals/corr

Alexi Canesse Benoit Goupil Jesse Read Sonia Vanier Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints. 2026 May abs/2605.21085 CoRR https://doi.org/10.48550/arXiv.2605.21085 db/journals/corr/corr2605.html#abs-2605-21085 streams/journals/corr

Lucas Thil Jesse Read Rim Kaddah Guillaume Florent Doquet STEP: Learning STructured Embeddings for Progressive Time Series. 2026 May abs/2605.31061 CoRR https://doi.org/10.48550/arXiv.2605.31061 db/journals/corr/corr2605.html#abs-2605-31061 streams/journals/corr

Lucas Thil Jesse Read Rim Kaddah Guillaume Florent Doquet Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models. 2026 May abs/2605.31111 CoRR https://doi.org/10.48550/arXiv.2605.31111 db/journals/corr/corr2605.html#abs-2605-31111 streams/journals/corr

Clément Elliker Mathis Le Bail Clément Mantoux Jesse Read Sonia Vanier RIDE: An Open Dataset and Benchmark for Train Delay Prediction. 2026 June abs/2606.05070 CoRR https://doi.org/10.48550/arXiv.2606.05070 db/journals/corr/corr2606.html#abs-2606-05070 streams/journals/corr

Jesse Read Indre Zliobaite Supervised Learning from Data Streams: An Overview and Update. 307:1-307:31 2025 December 57 ACM Comput. Surv. 12 https://doi.org/10.1145/3737279 db/journals/csur/csur57.html#ReadZ25 streams/journals/csur

Laurence A. F. Park Jesse Read Estimating Multi-Label Expected Accuracy Using Labelset Distributions. 2513-2524 2025 May 37 IEEE Trans. Knowl. Data Eng. 5 https://doi.org/10.1109/TKDE.2025.3545972 db/journals/tkde/tkde37.html#ParkR25 streams/journals/tkde

Ayman Chaouki Jesse Read Albert Bifet Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO. 2025 ICML https://proceedings.mlr.press/v267/chaouki25a.html https://openreview.net/forum?id=lQWTRVrArk conf/icml/2025 db/conf/icml/icml2025.html#ChaoukiRB25 Laurence A. F. Park Jesse Read Determining the Need for Multi-label Classifiers by Measuring Unexplained Covariance. 250-261 2025 PAKDD (6) https://doi.org/10.1007/978-981-96-8295-9_18 conf/pakdd/2025-6 db/conf/pakdd/pakdd2025-6.html#ParkR25 streams/conf/pakdd Lucas Thil Jesse Read Rim Kaddah Guillaume Florent Doquet I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation. 395-411 2025 ECML/PKDD (6) https://doi.org/10.1007/978-3-032-06106-5_23 conf/pkdd/2025-6 db/conf/pkdd/pkdd2025-6.html#ThilRKD25 streams/conf/pkdd

Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Sonali Parbhoo Jesse Read Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models. 2025 February abs/2502.07153 CoRR https://doi.org/10.48550/arXiv.2502.07153 db/journals/corr/corr2502.html#abs-2502-07153 streams/journals/corr

Simo Alami C Rim Kaddah Jesse Read Marie-Paule Cani Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning. 2025 May abs/2505.04310 CoRR https://doi.org/10.48550/arXiv.2505.04310 db/journals/corr/corr2505.html#abs-2505-04310 streams/journals/corr

Lucas Thil Jesse Read Rim Kaddah Guillaume Florent Doquet Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines. 2025 July abs/2507.06672 CoRR https://doi.org/10.48550/arXiv.2507.06672 db/journals/corr/corr2507.html#abs-2507-06672 streams/journals/corr

Laurence A. F. Park Jesse Read Estimating Conditional Covariance between labels for Multilabel Data. 2025 August abs/2508.18951 CoRR https://doi.org/10.48550/arXiv.2508.18951 db/journals/corr/corr2508.html#abs-2508-18951 streams/journals/corr

Peng Yu Yike Chen Chao Xu 0002 Albert Bifet Jesse Read Binary Split Categorical feature with Mean Absolute Error Criteria in CART. 2025 November abs/2511.08470 CoRR https://doi.org/10.48550/arXiv.2511.08470 db/journals/corr/corr2511.html#abs-2511-08470 streams/journals/corr

Lucas Thil Jesse Read Rim Kaddah Guillaume Florent Doquet I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation. 2025 November abs/2511.21208 CoRR https://doi.org/10.48550/arXiv.2511.21208 db/journals/corr/corr2511.html#abs-2511-21208 streams/journals/corr

Clément Elliker Jesse Read Sonia Vanier Albert Bifet Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach. 2025 December abs/2512.19737 CoRR https://doi.org/10.48550/arXiv.2512.19737 db/journals/corr/corr2512.html#abs-2512-19737 streams/journals/corr

Ekaterina Antonenko Ander Carreño Jesse Read Autoreplicative random forests with applications to missing value imputation. 7617-7643 2024 October 113 Mach. Learn. 10 https://doi.org/10.1007/s10994-024-06584-1 db/journals/ml/ml113.html#AntonenkoCR24 streams/journals/ml

Ayman Chaouki Jesse Read Albert Bifet Online Learning of Decision Trees with Thompson Sampling. 2944-2952 2024 AISTATS https://proceedings.mlr.press/v238/chaouki24a.html conf/aistats/2024 db/conf/aistats/aistats2024.html#ChaoukiRB24 Ekaterina Antonenko Michael Mechenich Rita Beigaite Indre Zliobaite Jesse Read Backward Inference in Probabilistic Regressor Chains with Distributional Constraints. 43-55 2024 IDA (2) https://doi.org/10.1007/978-3-031-58553-1_4 conf/ida/2024-2 db/conf/ida/ida2024-2.html#AntonenkoMBZR24

Ayman Chaouki Jesse Read Albert Bifet Online Learning of Decision Trees with Thompson Sampling. 2024 abs/2404.06403 CoRR https://doi.org/10.48550/arXiv.2404.06403 db/journals/corr/corr2404.html#abs-2404-06403

Ayman Chaouki Jesse Read Albert Bifet Branches: A Fast Dynamic Programming and Branch & Bound Algorithm for Optimal Decision Trees. 2024 abs/2406.02175 CoRR https://doi.org/10.48550/arXiv.2406.02175 db/journals/corr/corr2406.html#abs-2406-02175

Jesse Read From multi-label learning to cross-domain transfer: a model-agnostic approach. 25135-25153 2023 November 53 Appl. Intell. 21 https://doi.org/10.1007/s10489-023-04841-9 db/journals/apin/apin53.html#Read23

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. 75:1-75:42 2023 55 ACM Comput. Surv. 4 https://doi.org/10.1145/3523055 https://www.wikidata.org/entity/Q135334409 db/journals/csur/csur55.html#GomesGMRNB23

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. 2227-2236 2023 July 70 IEEE Trans. Biomed. Eng. 7 https://doi.org/10.1109/TBME.2023.3239527 db/journals/tbe/tbe70.html#ZvuloniRRRB23

Mohamed Alami Chehboune Rim Kaddah Jesse Read Transferable Deep Metric Learning for Clustering. 15-28 2023 IDA https://doi.org/10.1007/978-3-031-30047-9_2 conf/ida/2023 db/conf/ida/ida2023.html#ChehbouneKR23 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. 31-49 2023 MLHC https://proceedings.mlr.press/v219/ayad23a.html conf/mlhc/2023 db/conf/mlhc/mlhc2023.html#AyadBBRP23

Ekaterina Antonenko Jesse Read Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets. 2023 abs/2301.00595 CoRR https://doi.org/10.48550/arXiv.2301.00595 db/journals/corr/corr2301.html#abs-2301-00595

Simo Alami C Rim Kaddah Jesse Read Transferable Deep Metric Learning for Clustering. 2023 abs/2302.06523 CoRR https://doi.org/10.48550/arXiv.2302.06523 db/journals/corr/corr2302.html#abs-2302-06523

Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Jesse Read Shapley Chains: Extending Shapley Values to Classifier Chains. 2023 abs/2303.17243 CoRR https://doi.org/10.48550/arXiv.2303.17243 db/journals/corr/corr2303.html#abs-2303-17243

Alban Puech Jesse Read An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning. 2023 abs/2305.01299 CoRR https://doi.org/10.48550/arXiv.2305.01299 db/journals/corr/corr2305.html#abs-2305-01299

Alban Puech Jesse Read Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool. 2023 abs/2305.01343 CoRR https://doi.org/10.48550/arXiv.2305.01343 db/journals/corr/corr2305.html#abs-2305-01343

Indre Zliobaite Jesse Read A Historical Context for Data Streams. 2023 abs/2310.19811 CoRR https://doi.org/10.48550/arXiv.2310.19811 db/journals/corr/corr2310.html#abs-2310-19811

Rita Beigaite Jesse Read Indre Zliobaite Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover. 101849 2022 72 Ecol. Informatics https://doi.org/10.1016/j.ecoinf.2022.101849 db/journals/ecoi/ecoi72.html#BeigaiteRZ22

Fernando Llorente 0001 Luca Martino Jesse Read David Delgado-Gómez Optimality in noisy importance sampling. 108455 2022 194 Signal Process. https://doi.org/10.1016/j.sigpro.2022.108455 db/journals/sigpro/sigpro194.html#LlorenteMRD22

Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Jesse Read Shapley Chains: Extending Shapley Values to Classifier Chains. 541-555 2022 DS https://doi.org/10.1007/978-3-031-18840-4_38 conf/dis/2022 db/conf/dis/dis2022.html#AyadBBR22 Mohamed Alami Chehboune Rim Kaddah Luca Martino Fernando Llorente 0001 Jesse Read CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. 1482-1486 2022 EUSIPCO https://ieeexplore.ieee.org/document/9909720 conf/eusipco/2022 db/conf/eusipco/eusipco2022.html#ChehbouneKMLR22 Ekaterina Antonenko Jesse Read Multi-modal Ensembles of Regressor Chains for Multi-output Prediction. 1-13 2022 IDA https://doi.org/10.1007/978-3-031-01333-1_1 conf/ida/2022 db/conf/ida/ida2022.html#AntonenkoR22 Peng Yu Albert Bifet Jesse Read Chao Xu 0002 Linear tree shap. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/a5a3b1ef79520b7cd122d888673a3ebc-Abstract-Conference.html db/conf/nips/neurips2022.html#YuBRX22 Mohamed Alami Chehboune Jérémie Decock Rim Kaddah Jesse Read Conv-NILM-Net, a Causal and Multi-appliance Model for Energy Source Separation. 207-222 2022 PKDD/ECML Workshops (2) https://doi.org/10.1007/978-3-031-23633-4_15 conf/pkdd/2022-w2 db/conf/pkdd/pkdd2022-w2.html#ChehbouneDKR22 Alban Puech Jesse Read An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning. 614-630 2022 ECML/PKDD (5) https://doi.org/10.1007/978-3-031-26419-1_37 conf/pkdd/2022-5 db/conf/pkdd/pkdd2022-5.html#PuechR22 Sonal Sannigrahi Jesse Read Isomorphic Cross-lingual Embeddings for Low-Resource Languages. 133-142 2022 RepL4NLP@ACL https://aclanthology.org/2022.repl4nlp-1.14 conf/rep4nlp/2022 db/conf/rep4nlp/rep4nlp2022.html#SannigrahiR22

Fernando Llorente 0001 Luca Martino Jesse Read David Delgado-Gómez Optimality in Noisy Importance Sampling. 2022 abs/2201.02432 CoRR https://arxiv.org/abs/2201.02432 db/journals/corr/corr2201.html#abs-2201-02432

Sonal Sannigrahi Jesse Read Isomorphic Cross-lingual Embeddings for Low-Resource Languages. 2022 abs/2203.14632 CoRR https://doi.org/10.48550/arXiv.2203.14632 db/journals/corr/corr2203.html#abs-2203-14632

Mohamed Alami Chehboune Fernando Llorente 0001 Rim Kaddah Luca Martino Jesse Read CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. 2022 abs/2205.09433 CoRR https://doi.org/10.48550/arXiv.2205.09433 db/journals/corr/corr2205.html#abs-2205-09433

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. 2022 abs/2207.06096 CoRR https://doi.org/10.48550/arXiv.2207.06096 db/journals/corr/corr2207.html#abs-2207-06096

Jesse Read From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach. 2022 abs/2207.11742 CoRR https://doi.org/10.48550/arXiv.2207.11742 db/journals/corr/corr2207.html#abs-2207-11742

Mohamed Alami Chehboune Jérémie Decock Rim Kaddah Jesse Read Conv-NILM-Net, a causal and multi-appliance model for energy source separation. 2022 abs/2208.02173 CoRR https://doi.org/10.48550/arXiv.2208.02173 db/journals/corr/corr2208.html#abs-2208-02173

Laurence A. F. Park Jesse Read Estimating Multi-label Accuracy using Labelset Distributions. 2022 abs/2209.04163 CoRR https://doi.org/10.48550/arXiv.2209.04163 db/journals/corr/corr2209.html#abs-2209-04163

Peng Yu Chao Xu 0002 Albert Bifet Jesse Read Linear TreeShap. 2022 abs/2209.08192 CoRR https://doi.org/10.48550/arXiv.2209.08192 db/journals/corr/corr2209.html#abs-2209-08192

Jesse Read Indre Zliobaite Learning from Data Streams: An Overview and Update. 2022 abs/2212.14720 CoRR https://doi.org/10.48550/arXiv.2212.14720 db/journals/corr/corr2212.html#abs-2212-14720

Sammy Khalife Jesse Read Michalis Vazirgiannis Structure and influence in a global capital-ownership network. 16 2021 6 Appl. Netw. Sci. 1 https://doi.org/10.1007/s41109-021-00359-6 https://www.wikidata.org/entity/Q126204286 db/journals/ans/ans6.html#KhalifeRV21

Luca Martino Jesse Read A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers. 17-38 2021 74 Inf. Fusion https://doi.org/10.1016/j.inffus.2021.03.002 db/journals/inffus/inffus74.html#MartinoR21

Jesse Read Bernhard Pfahringer Geoff Holmes 0001 Eibe Frank Classifier Chains: A Review and Perspectives. 683-718 2021 70 J. Artif. Intell. Res. https://doi.org/10.1613/jair.1.12376 db/journals/jair/jair70.html#ReadPHF21

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. 110:1-110:8 2021 22 J. Mach. Learn. Res. https://jmlr.org/papers/v22/20-1380.html db/journals/jmlr/jmlr22.html#MontielHMBSVZGR21

Heitor Murilo Gomes Jesse Read Albert Bifet Robert J. Durrant Learning from evolving data streams through ensembles of random patches. 1597-1625 2021 63 Knowl. Inf. Syst. 7 https://doi.org/10.1007/s10115-021-01579-z https://www.wikidata.org/entity/Q135334415 db/journals/kais/kais63.html#GomesRBD21

Nuria Oliver Fernando Pérez-Cruz Stefan Kramer 0001 Jesse Read José Antonio Lozano 0001 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) Springer 2021 Lecture Notes in Computer Science 12975 978-3-030-86485-9 978-3-030-86486-6 https://doi.org/10.1007/978-3-030-86486-6 db/conf/pkdd/pkdd2021-1.html Nuria Oliver Fernando Pérez-Cruz Stefan Kramer 0001 Jesse Read José Antonio Lozano 0001 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) Springer 2021 Lecture Notes in Computer Science 12976 978-3-030-86519-1 978-3-030-86520-7 https://doi.org/10.1007/978-3-030-86520-7 db/conf/pkdd/pkdd2021-2.html Nuria Oliver Fernando Pérez-Cruz Stefan Kramer 0001 Jesse Read José Antonio Lozano 0001 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) Springer 2021 Lecture Notes in Computer Science 12977 978-3-030-86522-1 978-3-030-86523-8 https://doi.org/10.1007/978-3-030-86523-8 db/conf/pkdd/pkdd2021-3.html

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. 2021 abs/2106.09170 CoRR https://arxiv.org/abs/2106.09170 db/journals/corr/corr2106.html#abs-2106-09170

Jesse Read Luca Martino Probabilistic regressor chains with Monte Carlo methods. 471-486 2020 413 Neurocomputing https://doi.org/10.1016/j.neucom.2020.05.024 db/journals/ijon/ijon413.html#ReadM20

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. 1509-1563 2020 109 Mach. Learn. 8 https://doi.org/10.1007/s10994-020-05879-3 db/journals/ml/ml109.html#RivolliRSPC20

Jesse Read Ricardo Araújo Rios Tatiane Nogueira 0001 Rodrigo Fernandes de Mello Data Streams Are Time Series: Challenging Assumptions. 529-543 2020 BRACIS (2) https://doi.org/10.1007/978-3-030-61380-8_36 conf/bracis/2020-2 db/conf/bracis/bracis2020-2.html#ReadRNM20 Kayo Yin Jesse Read Better Sign Language Translation with STMC-Transformer. 5975-5989 2020 COLING https://doi.org/10.18653/v1/2020.coling-main.525 https://aclanthology.org/2020.coling-main.525/ conf/coling/2020 db/conf/coling/coling2020.html#YinR20 Albert Bifet Michele Berlingerio João Gama 0001 Jesse Read Ana Rita Nogueira 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 CEUR-WS.org CEUR Workshop Proceedings 2579 2020 https://ceur-ws.org/Vol-2579 https://nbn-resolving.org/urn:nbn:de:0074-2579-9 db/conf/kdd/bigmine2019.html

Luca Martino Jesse Read Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers. 2020 abs/2009.09217 CoRR https://arxiv.org/abs/2009.09217 db/journals/corr/corr2009.html#abs-2009-09217

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. 2020 abs/2012.04740 CoRR https://arxiv.org/abs/2012.04740 db/journals/corr/corr2012.html#abs-2012-04740

Jesse Read Albert Bifet Wei Fan 0001 Qiang Yang 0001 Philip S. Yu Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining. 221-222 2019 8 Int. J. Data Sci. Anal. 3 https://doi.org/10.1007/s41060-019-00196-y https://www.wikidata.org/entity/Q127214526 db/journals/ijdsa/ijdsa8.html#ReadBFYY19

Heitor Murilo Gomes Albert Bifet Jesse Read Jean Paul Barddal Fabrício Enembreck Bernhard Pfahringer Geoff Holmes 0001 Talel Abdessalem Correction to: Adaptive random forests for evolving data stream classification. 1877-1878 2019 108 Mach. Learn. 10 https://doi.org/10.1007/s10994-019-05793-3 https://www.wikidata.org/entity/Q135239166 db/journals/ml/ml108.html#GomesBRBEPHA19

Jesse Read Nikolaos Tziortziotis Michalis Vazirgiannis Error-space representations for multi-dimensional data streams with temporal dependence. 1211-1220 2019 22 Pattern Anal. Appl. 3 https://doi.org/10.1007/s10044-018-0739-7 https://www.wikidata.org/entity/Q129448729 db/journals/paa/paa22.html#ReadTV19

Heitor Murilo Gomes Jesse Read Albert Bifet Jean Paul Barddal João Gama 0001 Machine learning for streaming data: state of the art, challenges, and opportunities. 6-22 2019 21 SIGKDD Explor. 2 https://doi.org/10.1145/3373464.3373470 db/journals/sigkdd/sigkdd21.html#GomesRBBG19

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. 73-80 2019 ASONAM https://doi.org/10.1145/3341161.3342866 conf/asunam/2019 db/conf/asunam/asonam2019.html#TixierRMRV19 Sammy Khalife Jesse Read Michalis Vazirgiannis Empirical Analysis of a Global Capital-Ownership Network. 656-667 2019 COMPLEX NETWORKS (2) https://doi.org/10.1007/978-3-030-36683-4_53 conf/complexnetworks/2019-2 db/conf/complexnetworks/complexnetworks2019-2.html#KhalifeRV19 Heitor Murilo Gomes Jesse Read Albert Bifet Streaming Random Patches for Evolving Data Stream Classification. 240-249 2019 ICDM https://doi.org/10.1109/ICDM.2019.00034 conf/icdm/2019 db/conf/icdm/icdm2019.html#GomesRB19 Heitor Murilo Gomes Albert Bifet Philippe Fournier-Viger Jones Granatyr Jesse Read Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. 704-716 2019 ICONIP (1) https://doi.org/10.1007/978-3-030-36708-4_58 https://www.wikidata.org/entity/Q135239167 conf/iconip/2019-1 db/conf/iconip/iconip2019-1.html#GomesBFGR19 Laurence A. F. Park Yi Guo 0001 Jesse Read Assessing the Multi-labelness of Multi-label Data. 164-179 2019 ECML/PKDD (2) https://doi.org/10.1007/978-3-030-46147-8_10 conf/pkdd/2019-2 db/conf/pkdd/pkdd2019-2.html#ParkGR19

Jesse Read Luca Martino Probabilistic Regressor Chains with Monte Carlo Methods. 2019 abs/1907.08087 CoRR http://arxiv.org/abs/1907.08087 db/journals/corr/corr1907.html#abs-1907-08087

Jesse Read Bernhard Pfahringer Geoff Holmes 0001 Eibe Frank Classifier Chains: A Review and Perspectives. 2019 abs/1912.13405 CoRR http://arxiv.org/abs/1912.13405 db/journals/corr/corr1912.html#abs-1912-13405

Jacob Montiel Jesse Read Albert Bifet Talel Abdessalem Scikit-Multiflow: A Multi-output Streaming Framework. 2018 19 J. Mach. Learn. Res. https://jmlr.org/papers/v19/18-251.html db/journals/jmlr/jmlr19.html#MontielRBA18 72:1-72:5

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. 2018 8 WIREs Data Mining Knowl. Discov. 2 https://doi.org/10.1002/widm.1237 db/journals/widm/widm8.html#StegmannZTHR18

Olivier Pallanca Sammy Khalife Jesse Read Detection of sleep spindles in NREM 2 sleep stages: Preliminary study & benchmarking of algorithms. 2652-2655 2018 BIBM https://doi.ieeecomputersociety.org/10.1109/BIBM.2018.8621305 conf/bibm/2018 db/conf/bibm/bibm2018.html#PallancaKR18 Jacob Montiel Albert Bifet Viktor Losing Jesse Read Talel Abdessalem Learning Fast and Slow: A Unified Batch/Stream Framework. 1065-1072 2018 IEEE BigData https://doi.org/10.1109/BigData.2018.8622222 conf/bigdataconf/2018 db/conf/bigdataconf/bigdataconf2018.html#MontielBLRA18 Albert Bifet Jesse Read Ubiquitous Artificial Intelligence and Dynamic Data Streams. 1-6 2018 DEBS https://doi.org/10.1145/3210284.3214345 conf/debs/2018 db/conf/debs/debs2018.html#BifetR18 Fei Song Yanlei Diao Jesse Read Arnaud Stiegler Albert Bifet EXAD: A System for Explainable Anomaly Detection on Big Data Traces. 1435-1440 2018 ICDM Workshops https://doi.org/10.1109/ICDMW.2018.00204 conf/icdm/2018w db/conf/icdm/icdm2018w.html#SongDRSB18 Ngurah Agus Sanjaya Jesse Read Talel Abdessalem Stéphane Bressan Set Labelling using Multi-label Classification. 216-220 2018 iiWAS https://doi.org/10.1145/3282373.3282391 conf/iiwas/2018 db/conf/iiwas/iiwas2018.html#SanjayaRAB18 Jacob Montiel Jesse Read Albert Bifet Talel Abdessalem Scalable Model-Based Cascaded Imputation of Missing Data. 64-76 2018 PAKDD (3) https://doi.org/10.1007/978-3-319-93040-4_6 conf/pakdd/2018-3 db/conf/pakdd/pakdd2018-3.html#MontielRBA18 Laurence A. F. Park Jesse Read A Blended Metric for Multi-label Optimisation and Evaluation. 719-734 2018 ECML/PKDD (1) https://doi.org/10.1007/978-3-030-10925-7_44 conf/pkdd/2018-1 db/conf/pkdd/pkdd2018-1.html#ParkR18

Jacob Montiel Jesse Read Albert Bifet Talel Abdessalem Scikit-Multiflow: A Multi-output Streaming Framework. 2018 abs/1807.04662 CoRR http://arxiv.org/abs/1807.04662 db/journals/corr/corr1807.html#abs-1807-04662

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. 2018 abs/1807.09586 CoRR http://arxiv.org/abs/1807.09586 db/journals/corr/corr1807.html#abs-1807-09586

Jesse Read Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation. 2018 abs/1810.02266 CoRR http://arxiv.org/abs/1810.02266 db/journals/corr/corr1810.html#abs-1810-02266

Luca Martino Jesse Read Víctor Elvira Francisco Louzada 0001 Cooperative parallel particle filters for online model selection and applications to urban mobility. 172-185 2017 60 Digit. Signal Process. https://doi.org/10.1016/j.dsp.2016.09.011 db/journals/dsp/dsp60.html#MartinoREL17

Diego Marron Jesse Read Albert Bifet Nacho Navarro Data stream classification using random feature functions and novel method combinations. 195-204 2017 127 J. Syst. Softw. https://doi.org/10.1016/j.jss.2016.06.009 db/journals/jss/jss127.html#MarronRBN17

Heitor Murilo Gomes Albert Bifet Jesse Read Jean Paul Barddal Fabrício Enembreck Bernhard Pfahringer Geoff Holmes 0001 Talel Abdessalem Adaptive random forests for evolving data stream classification. 1469-1495 2017 106 Mach. Learn. 9-10 https://doi.org/10.1007/s10994-017-5642-8 https://www.wikidata.org/entity/Q135239268 db/journals/ml/ml106.html#GomesBRBEPHA17

Jesse Read Luca Martino Jaakko Hollmén Multi-label methods for prediction with sequential data. 45-55 2017 63 Pattern Recognit. https://doi.org/10.1016/j.patcog.2016.09.015 db/journals/pr/pr63.html#ReadMH17

Diego Marron Eduard Ayguadé José R. Herrero 0001 Jesse Read Albert Bifet Low-latency multi-threaded ensemble learning for dynamic big data streams. 223-232 2017 IEEE BigData https://doi.org/10.1109/BigData.2017.8257930 conf/bigdataconf/2017 db/conf/bigdataconf/bigdataconf2017.html#MarronAHRB17 Yasemin Altun Kamalika Das Taneli Mielikäinen Donato Malerba Jerzy Stefanowski Jesse Read Marinka Zitnik Michelangelo Ceci Saso Dzeroski Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III ECML/PKDD (3) Springer 2017 Lecture Notes in Computer Science 10536 978-3-319-71272-7 978-3-319-71273-4 https://doi.org/10.1007/978-3-319-71273-4 db/conf/pkdd/pkdd2017-3.html

Jesse Read Indre Zliobaite Jaakko Hollmén Labeling sensing data for mobility modeling. 207-222 2016 57 Inf. Syst. https://doi.org/10.1016/j.is.2015.09.001 db/journals/is/is57.html#ReadZH16

Jesse Read Peter Reutemann Bernhard Pfahringer Geoff Holmes 0001 MEKA: A Multi-label/Multi-target Extension to WEKA. 21:1-21:5 2016 17 J. Mach. Learn. Res. https://jmlr.org/papers/v17/12-164.html db/journals/jmlr/jmlr17.html#ReadRPH16

Diego Marron Jesse Read Albert Bifet Talel Abdessalem Eduard Ayguadé José R. Herrero 0001 Echo State Hoeffding Tree Learning. 382-397 2016 ACML http://proceedings.mlr.press/v63/Marron87.html conf/acml/2016 db/conf/acml/acml2016.html#MarronRBAAH16 Wei Fan 0001 Albert Bifet Jesse Read Qiang Yang 0001 Philip S. Yu 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 2016 BigMine JMLR.org JMLR Workshop and Conference Proceedings 53 http://proceedings.mlr.press/v53/ db/conf/kdd/bigmine2016.html

Jesse Read Luca Martino Jaakko Hollmén Multi-label Methods for Prediction with Sequential Data. 2016 abs/1609.08349 CoRR http://arxiv.org/abs/1609.08349 db/journals/corr/corr1609.html#ReadMH16

Indre Zliobaite Albert Bifet Jesse Read Bernhard Pfahringer Geoff Holmes 0001 Evaluation methods and decision theory for classification of streaming data with temporal dependence. 455-482 2015 98 Mach. Learn. 3 https://doi.org/10.1007/s10994-014-5441-4 db/journals/ml/ml98.html#ZliobaiteBRPH15

Jesse Read Luca Martino Pablo M. Olmos David Luengo Scalable multi-output label prediction: From classifier chains to classifier trellises. 2096-2109 2015 48 Pattern Recognit. 6 https://doi.org/10.1016/j.patcog.2015.01.004 https://www.wikidata.org/entity/Q29398382 db/journals/pr/pr48.html#ReadMOL15

Luca Martino Jesse Read David Luengo Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. 3123-3138 2015 63 IEEE Trans. Signal Process. 12 https://doi.org/10.1109/TSP.2015.2420537 https://www.wikidata.org/entity/Q55868549 db/journals/tsp/tsp63.html#MartinoRL15

Albert Bifet Gianmarco De Francisci Morales Jesse Read Geoff Holmes 0001 Bernhard Pfahringer Efficient Online Evaluation of Big Data Stream Classifiers. 59-68 2015 KDD https://doi.org/10.1145/2783258.2783372 https://www.wikidata.org/entity/Q131025498 conf/kdd/2015 db/conf/kdd/kdd2015.html#BifetMRHP15 Jesse Read Fernando Pérez-Cruz Albert Bifet Deep learning in partially-labeled data streams. 954-959 2015 SAC https://doi.org/10.1145/2695664.2695871 https://www.wikidata.org/entity/Q131025475 conf/sac/2015 db/conf/sac/sac2015.html#ReadPB15 Jesse Read Albert Bifet Data Stream Classification Using Random Feature Functions and Novel Method Combinations. 211-216 2015 TrustCom/BigDataSE/ISPA (2) https://doi.org/10.1109/Trustcom.2015.585 conf/trustcom/2015-2 db/conf/trustcom/trustcom2015-2.html#ReadB15

Jesse Read Luca Martino Pablo M. Olmos David Luengo Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. 2015 abs/1501.04870 CoRR http://arxiv.org/abs/1501.04870 db/journals/corr/corr1501.html#ReadMOL15

Jesse Read Fernando Pérez-Cruz Deep Learning for Multi-label Classification. 2015 abs/1502.05988 CoRR http://arxiv.org/abs/1502.05988 db/journals/corr/corr1502.html#ReadP15

Jesse Read Jaakko Hollmén Multi-label Classification using Labels as Hidden Nodes. 2015 abs/1503.09022 CoRR http://arxiv.org/abs/1503.09022 db/journals/corr/corr1503.html#ReadH15

Diego Marron Jesse Read Albert Bifet Nacho Navarro Data Stream Classification using Random Feature Functions and Novel Method Combinations. 2015 abs/1511.00971 CoRR http://arxiv.org/abs/1511.00971 db/journals/corr/corr1511.html#MarronRBN15

Jesse Read Luca Martino David Luengo Efficient monte carlo methods for multi-dimensional learning with classifier chains. 1535-1546 2014 47 Pattern Recognit. 3 https://doi.org/10.1016/j.patcog.2013.10.006 https://www.wikidata.org/entity/Q57253450 db/journals/pr/pr47.html#ReadML14

Jesse Read Katrin Achutegui Joaquín Míguez A distributed particle filter for nonlinear tracking in wireless sensor networks. 121-134 2014 98 Signal Process. https://doi.org/10.1016/j.sigpro.2013.11.020 db/journals/sigpro/sigpro98.html#ReadAM14

Jesse Read Concha Bielza Pedro Larrañaga Multi-Dimensional Classification with Super-Classes. 1720-1733 2014 26 IEEE Trans. Knowl. Data Eng. 7 https://doi.org/10.1109/TKDE.2013.167 http://doi.ieeecomputersociety.org/10.1109/TKDE.2013.167 https://www.wikidata.org/entity/Q62038430 db/journals/tkde/tkde26.html#ReadBL14

Luca Martino Jesse Read David Luengo Independent doubly Adaptive Rejection Metropolis Sampling. 7998-8002 2014 ICASSP https://doi.org/10.1109/ICASSP.2014.6855158 https://www.wikidata.org/entity/Q59428085 conf/icassp/2014 db/conf/icassp/icassp2014.html#MartinoRL14 Jesse Read Antti Puurula Albert Bifet Multi-label Classification with Meta-Labels. 941-946 2014 ICDM https://doi.org/10.1109/ICDM.2014.38 https://doi.ieeecomputersociety.org/10.1109/ICDM.2014.38 conf/icdm/2014 db/conf/icdm/icdm2014.html#ReadPB14 Jesse Read Jaakko Hollmén A Deep Interpretation of Classifier Chains. 251-262 2014 IDA https://doi.org/10.1007/978-3-319-12571-8_22 conf/ida/2014 db/conf/ida/ida2014.html#ReadH14 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. 541-548 2014 WISE (2) https://doi.org/10.1007/978-3-319-11746-1_40 conf/wise/2014-2 db/conf/wise/wise2014-2.html#TsoumakasPQVDPRSS14

Antti Puurula Jesse Read Albert Bifet Kaggle LSHTC4 Winning Solution. 2014 abs/1405.0546 CoRR http://arxiv.org/abs/1405.0546 db/journals/corr/corr1405.html#PuurulaRB14

Luca Martino Jesse Read On the flexibility of the design of multiple try Metropolis schemes. 2797-2823 2013 28 Comput. Stat. 6 https://doi.org/10.1007/s00180-013-0429-2 https://www.wikidata.org/entity/Q55921530 db/journals/cstat/cstat28.html#MartinoR13

Jesse Read Luca Martino David Luengo Efficient monte carlo optimization for multi-label classifier chains. 3457-3461 2013 ICASSP https://doi.org/10.1109/ICASSP.2013.6638300 https://www.wikidata.org/entity/Q59428102 conf/icassp/2013 db/conf/icassp/icassp2013.html#ReadML13 Albert Bifet Jesse Read Bernhard Pfahringer Geoff Holmes 0001 Indre Zliobaite CD-MOA: Change Detection Framework for Massive Online Analysis. 92-103 2013 IDA https://doi.org/10.1007/978-3-642-41398-8_9 conf/ida/2013 db/conf/ida/ida2013.html#BifetRPHZ13 Albert Bifet Jesse Read Indre Zliobaite Bernhard Pfahringer Geoff Holmes 0001 Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them. 465-479 2013 ECML/PKDD (1) https://doi.org/10.1007/978-3-642-40988-2_30 conf/pkdd/2013-1 db/conf/pkdd/pkdd2013-1.html#BifetRZPH13 Albert Bifet Bernhard Pfahringer Jesse Read Geoff Holmes 0001 Efficient data stream classification via probabilistic adaptive windows. 801-806 2013 SAC https://doi.org/10.1145/2480362.2480516 conf/sac/2013 db/conf/sac/sac2013.html#BifetPRH13

Jesse Read Albert Bifet Geoff Holmes 0001 Bernhard Pfahringer Scalable and efficient multi-label classification for evolving data streams. 243-272 2012 88 Mach. Learn. 1-2 https://doi.org/10.1007/s10994-012-5279-6 https://www.wikidata.org/entity/Q59411203 db/journals/ml/ml88.html#ReadBHP12

Philipp Kranen Hardy Kremer Timm Jansen Thomas Seidl 0001 Albert Bifet Geoff Holmes 0001 Bernhard Pfahringer Jesse Read Stream Data Mining Using the MOA Framework. 309-313 2012 DASFAA (2) https://doi.org/10.1007/978-3-642-29035-0_27 https://www.wikidata.org/entity/Q62730530 conf/dasfaa/2012-2 db/conf/dasfaa/dasfaa2012-2.html#KranenKJSBHPR12 Jesse Read Albert Bifet Bernhard Pfahringer Geoff Holmes 0001 Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. 313-323 2012 IDA https://doi.org/10.1007/978-3-642-34156-4_29 https://www.wikidata.org/entity/Q62730526 conf/ida/2012 db/conf/ida/ida2012.html#ReadBPH12

Jesse Read Luca Martino David Luengo Efficient Monte Carlo Optimization for Multi-label Classifier Chains http://arxiv.org/abs/1211.2190 2012 CoRR abs/1211.2190 db/journals/corr/corr1211.html#abs-1211-2190

Jesse Read Bernhard Pfahringer Geoff Holmes 0001 Eibe Frank Classifier chains for multi-label classification. 333-359 2011 85 Mach. Learn. 3 https://doi.org/10.1007/s10994-011-5256-5 https://www.wikidata.org/entity/Q58560551 db/journals/ml/ml85.html#ReadPHF11

Albert Bifet Geoff Holmes 0001 Bernhard Pfahringer Jesse Read Philipp Kranen Hardy Kremer Timm Jansen Thomas Seidl 0001 MOA: A Real-Time Analytics Open Source Framework. 617-620 2011 ECML/PKDD (3) https://doi.org/10.1007/978-3-642-23808-6_41 https://www.wikidata.org/entity/Q62730545 conf/pkdd/2011-3 db/conf/pkdd/pkdd2011-3.html#BifetHPRKKJS11 Jesse Read Albert Bifet Geoff Holmes 0001 Bernhard Pfahringer Streaming Multi-label Classification. 19-25 WAPA 2011 conf/wapa/2011 http://proceedings.mlr.press/v17/read11a/read11a.pdf db/journals/jmlr/jmlrp17.html#ReadBHP11 Jesse Read Bernhard Pfahringer Geoffrey Holmes 0001 Eibe Frank Classifier Chains for Multi-label Classification. 254-269 2009 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-04174-7_17 https://www.wikidata.org/entity/Q58560892 conf/pkdd/2009-2 db/conf/pkdd/pkdd2009-2.html#ReadPHF09 Jesse Read Bernhard Pfahringer Geoffrey Holmes 0001 Multi-label Classification Using Ensembles of Pruned Sets. 995-1000 2008 ICDM https://doi.org/10.1109/ICDM.2008.74 https://doi.ieeecomputersociety.org/10.1109/ICDM.2008.74 https://www.wikidata.org/entity/Q59411199 conf/icdm/2008 db/conf/icdm/icdm2008.html#ReadPH08 Talel Abdessalem Katrin Achutegui Yasemin Altun Ekaterina Antonenko Célia Wafa Ayad Eduard Ayguadé Mathis Le Bail Jean Paul Barddal Joachim BeharJoachim A. Behar Rita Beigaite Michele Berlingerio Concha Bielza Albert Bifet Geoffrey Bolmier Thomas Bonnier Benjamin Bosch Stéphane Bressan Simo Alami C Alexi Canesse Marie-Paule Cani Ander Carreño André C. P. L. F. de Carvalho Michelangelo Ceci Ayman Chaouki Mohamed Alami Chehboune Yike Chen Kamalika Das Jérémie Decock David Delgado-Gómez Yanlei Diao Guillaume Florent Doquet Robert J. Durrant Alexander D'yakonov Saso Dzeroski Clément Elliker Victor ElviraVíctor Elvira Fabrício Enembreck Ngurah Agus Sanjaya ErNgurah Agus Sanjaya Wei Fan 0001 Philippe Fournier-Viger Eibe Frank João Gama 0001 Heitor Murilo Gomes Benoit Goupil Jones Granatyr Maciej Grzenda Yi Guo 0001 Sonia Haddad-VanierSonia Vanier Max Halford José R. Herrero 0001 Jaakko Hollmén Geoff Holmes 0001Geoffrey Holmes 0001 Timm Jansen Rim Kaddah Sammy Khalife Stefan Kramer 0001 Philipp Kranen Hardy Kremer Pedro Larrañaga Milad Leyli-Abadi Fernando Llorente 0001 Viktor Losing Francisco Louzada 0001 José Antonio Lozano 0001 David Luengo Donato Malerba Fragkiskos D. Malliaros Clément Mantoux Diego Marron Luca Martino Saulo Martiello Mastelini Michael Mechenich Rodrigo Fernandes de Mello Taneli Mielikäinen Joaquín Míguez Jacob Montiel Gianmarco De Francisci Morales Nacho Navarro Minh-Huong Le Nguyen Ana Rita Nogueira Nuria Oliver Pablo M. Olmos Olivier Pallanca Apostolos N. PapadopoulosApostolos Papadopoulos Sonali Parbhoo Laurence Anthony F. ParkLaurence A. F. Park Fernando Pérez-Cruz Bernhard Pfahringer Alban Puech Antti Puurula Weining Qian Sébastien Razakarivony Peter Reutemann Antônio H. Ribeiro Antônio L. P. RibeiroAntônio Luiz P. Ribeiro Ricardo Araújo Rios Tatiane N. RiosTatiane Nogueira 0001 Adriano Rivolli Maria-Evgenia G. Rossi Sonal Sannigrahi Thomas Seidl 0001 Stanislav Semenov Carlos Soares Fei Song Raphaël Sourty Jerzy Stefanowski Roelant A. Stegmann Arnaud Stiegler Jan Svec Lucas Thil Antoine J.-P. Tixier Tuukka Tolvanen Grigorios Tsoumakas Nikolaos Tziortziotis Robin Vaysse Michalis Vazirgiannis Stavros Vologiannidis Chao Xu 0002 Qiang Yang 0001 Kayo Yin Peng Yu Philip S. Yu Marinka Zitnik Indre Zliobaite Adil Zouitine Eran Zvuloni