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ORCIDAlbert Bifet
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- affiliation: University of Waikato, Hamilton, New Zealand
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2020 – today
- 2021
[j46]Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy
, Albert Bifet:
Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency. Data Min. Knowl. Discov. 35(3): 796-836 (2021)- [j45]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: a cellular automaton for concept drift detection. Data Min. Knowl. Discov. 35(6): 2655-2678 (2021) - [j44]José del Campo-Ávila, Abdelatif Takilalte, Albert Bifet, Llanos Mora López:
Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation. Expert Syst. Appl. 167: 114147 (2021) - [j43]Natalia Mordvanyuk, Beatriz López, Albert Bifet:
vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining. Expert Syst. Appl. 168: 114276 (2021) - [j42]Eva García-Martín, Albert Bifet, Niklas Lavesson:
Energy modeling of Hoeffding tree ensembles. Intell. Data Anal. 25(1): 81-104 (2021) - [j41]Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger:
Improving the performance of bagging ensembles for data streams through mini-batching. Inf. Sci. 580: 260-282 (2021) - [j40]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): 1597-1625 (2021) - [j39]Maroua Bahri, Albert Bifet, João Gama, Heitor Murilo Gomes, Silviu Maniu:
Data stream analysis: Foundations, major tasks and tools. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 11(3) (2021) - [c120]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: a hybrid cloud and edge orchestrator for mining exascale distributed streams. DEBS 2021: 103-113 - [c119]Maroua Bahri, Albert Bifet:
Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. DS 2021: 122-137 - [c118]Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears, Mykola Pechenizkiy, Albert Bifet, Gustavo Olivares, Guy Coulson:
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification. DSAA 2021: 1-2 - [c117]Ben Halstead, Yun Sing Koh, Patricia Riddle, Mykola Pechenizkiy, Albert Bifet, Russel Pears:
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information. ICDE 2021: 1056-1067 - [c116]Nedeljko Radulovic, Albert Bifet, Fabian Suchanek:
Confident Interpretations of Black Box Classifiers. IJCNN 2021: 1-8 - [c115]Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. PAKDD (2) 2021: 245-256 - [c114]Yunzhe Jia, Eibe Frank, Bernhard Pfahringer, Albert Bifet, Nick Lim:
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality. ECML/PKDD (2) 2021: 699-714 - [c113]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling. RecSys 2021: 792-793 - [c112]Einav Peretz-Andersson, Niklas Lavesson, Albert Bifet, Patrick Mikalef:
AI Transformation in the Public Sector: Ongoing Research. SAIS 2021: 1-4 - [i28]Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luís Torgo:
STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection. CoRR abs/2103.00903 (2021) - [i27]Md. Mahbub Alam, Luís Torgo, Albert Bifet:
A Survey on Spatio-temporal Data Analytics Systems. CoRR abs/2103.09883 (2021) - [i26]Vítor Cerqueira, Luís Torgo, Carlos Soares, Albert Bifet:
Model Compression for Dynamic Forecast Combination. CoRR abs/2104.01830 (2021) - [i25]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 abs/2106.09170 (2021) - [i24]Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. CoRR abs/2108.07403 (2021) - [i23]Jesus Antonanzas, Marta Arias, Albert Bifet:
Sketches for Time-Dependent Machine Learning. CoRR abs/2108.11923 (2021) - 2020
- [j38]Albert Bifet, João Gama:
IoT data stream analytics. Ann. des Télécommunications 75(9-10): 491-492 (2020) - [j37]Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet:
Delayed labelling evaluation for data streams. Data Min. Knowl. Discov. 34(5): 1237-1266 (2020) - [j36]Paulo Cortez, Albert Bifet:
Fifth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j35]Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet, Meriem Bouzbila:
Sampling informative patterns from large single networks. Future Gener. Comput. Syst. 106: 653-658 (2020) - [d1]Nedeljko Radulovic, Dihia Boulegane, Albert Bifet:
SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams. J. Open Source Softw. 5(55): 2676 (2020) - [j34]Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang:
Discriminative Streaming Network Embedding. Knowl. Based Syst. 190: 105138 (2020) - [j33]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and online learning: An overview and perspectives. Neural Networks 121: 88-100 (2020) - [j32]Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning. Neural Networks 123: 118-133 (2020) - [c111]Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle:
C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. IEEE BigData 2020: 483-492 - [c110]Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama:
AutoML for Stream k-Nearest Neighbors Classification. IEEE BigData 2020: 597-602 - [c109]Dihia Boulegane, Albert Bifet, Haytham Elghazel, Giyyarpuram Madhusudan:
Streaming Time Series Forecasting using Multi-Target Regression with Dynamic Ensemble Selection. IEEE BigData 2020: 2170-2179 - [c108]Wenbin Zhang, Albert Bifet:
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. DS 2020: 175-189 - [c107]Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet:
Unsupervised Concept Drift Detection Using a Student-Teacher Approach. DS 2020: 190-204 - [c106]Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis:
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI 2020: 961-968 - [c105]Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger:
Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. HPCC/DSS/SmartCity 2020: 138-146 - [c104]Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Incremental Rebalancing Learning on Evolving Data Streams. ICDM (Workshops) 2020: 844-850 - [c103]Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Fast Incremental Naïve Bayes with Kalman Filtering. ICDM (Workshops) 2020: 883-889 - [c102]Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu:
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. IDA 2020: 40-53 - [c101]Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes:
Survey on Feature Transformation Techniques for Data Streams. IJCAI 2020: 4796-4802 - [c100]Maroua Bahri, Heitor Murilo Gomes, Albert Bifet, Silviu Maniu:
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification. IJCNN 2020: 1-8 - [c99]Heitor Murilo Gomes, Jacob Montiel, Saulo Martiello Mastelini, Bernhard Pfahringer, Albert Bifet:
On Ensemble Techniques for Data Stream Regression. IJCNN 2020: 1-8 - [c98]Maciej Grzenda, Heitor Murilo Gomes, Albert Bifet:
Performance measures for evolving predictions under delayed labelling classification. IJCNN 2020: 1-8 - [c97]Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet:
Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. IJCNN 2020: 1-8 - [c96]Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. IJCNN 2020: 1-8 - [c95]Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer:
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION 2020: 80-95 - [c94]Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet:
Challenges of Stream Learning for Predictive Maintenance in the Railway Sector. IoT Streams/ITEM@PKDD/ECML 2020: 14-29 - [c93]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
ORSUM - Workshop on Online Recommender Systems and User Modeling. RecSys 2020: 619-620 - [e12]Albert Bifet, Michele Berlingerio, João Gama, 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. CEUR Workshop Proceedings 2579, CEUR-WS.org 2020 [contents] - [e11]João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott:
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers. Communications in Computer and Information Science 1325, Springer 2020, ISBN 978-3-030-66769-6 [contents] - [e10]João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet:
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020. CEUR Workshop Proceedings 2715, CEUR-WS.org 2020 [contents] - [i22]Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet:
Adaptive XGBoost for Evolving Data Streams. CoRR abs/2005.07353 (2020) - [i21]Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet:
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams. CoRR abs/2007.01260 (2020) - [i20]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: A Cellular Automaton for Concept Drift Detection. CoRR abs/2009.09677 (2020) - [i19]Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi, Albert Bifet:
Emergent and Unspecified Behaviors in Streaming Decision Trees. CoRR abs/2010.08199 (2020) - [i18]Chaitanya Manapragada, Heitor Murilo Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I. Webb:
An Eager Splitting Strategy for Online Decision Trees. CoRR abs/2010.10935 (2020) - [i17]Fabricio Ceschin, Heitor Murilo Gomes, Marcus Botacin, Albert Bifet, Bernhard Pfahringer, Luiz S. Oliveira, André Grégio:
Machine Learning (In) Security: A Stream of Problems. CoRR abs/2010.16045 (2020) - [i16]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 abs/2012.04740 (2020)
2010 – 2019
- 2019
- [j31]Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Merit-guided dynamic feature selection filter for data streams. Expert Syst. Appl. 116: 227-242 (2019) - [j30]Rodrigo Fernandes de Mello, Yule Vaz, Carlos Henrique Grossi Ferreira, Albert Bifet:
On learning guarantees to unsupervised concept drift detection on data streams. Expert Syst. Appl. 117: 90-102 (2019) - [j29]Rodrigo Fernandes de Mello, Chaitanya Manapragada, Albert Bifet:
Measuring the Shattering coefficient of Decision Tree models. Expert Syst. Appl. 137: 443-452 (2019) - [j28]Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring concept meta-learning for evolving data streams. Expert Syst. Appl. 138 (2019) - [j27]Abhik Ray, Lawrence B. Holder, Albert Bifet:
Efficient frequent subgraph mining on large streaming graphs. Intell. Data Anal. 23(1): 103-132 (2019) - [j26]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): 221-222 (2019) - [j25]Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Boosting decision stumps for dynamic feature selection on data streams. Inf. Syst. 83: 13-29 (2019) - [j24]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): 1877-1878 (2019) - [j23]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): 6-22 (2019) - [c92]Minh-Huong Le Nguyen, Heitor Murilo Gomes, Albert Bifet:
Semi-supervised Learning over Streaming Data using MOA. IEEE BigData 2019: 553-562 - [c91]Heitor Murilo Gomes, Rodrigo Fernandes de Mello, Bernhard Pfahringer, Albert Bifet:
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. IEEE BigData 2019: 761-769 - [c90]Dihia Boulegane, Albert Bifet, Giyyarpuram Madhusudan:
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams. IEEE BigData 2019: 1040-1045 - [c89]Dihia Boulegane, Nedeljko Radulovic, Albert Bifet, Ghislain Fiévet, Jimin Sohn, Yeonwoo Nam, Seojeong Yu, Dong-Wan Choi:
Real-Time Machine Learning Competition on Data Streams at the IEEE Big Data 2019. IEEE BigData 2019: 3493-3497 - [c88]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Adaptive Algorithms for Estimating Betweenness and k-path Centralities. CIKM 2019: 1231-1240 - [c87]Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet:
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality. EDBT 2019: 686-689 - [c86]Albert Bifet, Barbara Hammer, Frank-Michael Schleif:
Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets. ESANN 2019 - [c85]Heitor Murilo Gomes, Jesse Read, Albert Bifet:
Streaming Random Patches for Evolving Data Stream Classification. ICDM 2019: 240-249 - [c84]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: 704-716 - [c83]Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet, Luiz S. Oliveira:
Adaptive Random Forests with Resampling for Imbalanced data Streams. IJCNN 2019: 1-6 - [c82]Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria, Albert Bifet:
IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks. ISCC 2019: 1-7 - [c81]Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer:
Towards Automated Configuration of Stream Clustering Algorithms. PKDD/ECML Workshops (1) 2019: 137-143 - [c80]João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein:
ORSUM 2019 2nd workshop on online recommender systems and user modeling. RecSys 2019: 562-563 - [c79]Riccardo Tommasini, Robin Keskisärkkä, Jean-Paul Calbimonte, Eva Blomqvist, Emanuele Della Valle, Albert Bifet:
Continuous Analytics of Web Streams. WWW (Companion Volume) 2019: 1323-1325 - [e9]Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro:
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9 [contents] - [e8]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - [e7]João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein:
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark. Proceedings of Machine Learning Research 109, PMLR 2019 [contents] - [i15]Diego Marrón, Eduard Ayguadé, José Ramon Herrero, Albert Bifet:
Resource-aware Elastic Swap Random Forest for Evolving Data Streams. CoRR abs/1905.05881 (2019) - [i14]Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet:
Recurring Concept Meta-learning for Evolving Data Streams. CoRR abs/1905.08848 (2019) - [i13]Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser:
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning. CoRR abs/1908.08018 (2019) - [i12]Jesus L. Lobo, Javier Del Ser, Albert Bifet, Nikola K. Kasabov:
Spiking Neural Networks and Online Learning: An Overview and Perspectives. CoRR abs/1908.08019 (2019) - [i11]Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Rebalancing Learning on Evolving Data Streams. CoRR abs/1911.07361 (2019) - 2018
- [j22]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Discriminative Distance-Based Network Indices with Application to Link Prediction. Comput. J. 61(7): 998-1014 (2018) - [j21]Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet:
Predicting attributes and friends of mobile users from AP-Trajectories. Inf. Sci. 463-464: 110-128 (2018) - [j20]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scikit-Multiflow: A Multi-output Streaming Framework. J. Mach. Learn. Res. 19: 72:1-72:5 (2018) - [c78]Maroua Bahri, Silviu Maniu, Albert Bifet:
A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams. IEEE BigData 2018: 604-613 - [c77]Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, Talel Abdessalem:
Learning Fast and Slow: A Unified Batch/Stream Framework. IEEE BigData 2018: 1065-1072 - [c76]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
An In-depth Comparison of Group Betweenness Centrality Estimation Algorithms. IEEE BigData 2018: 2104-2113 - [c75]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
DyBED: An Efficient Algorithm for Updating Betweenness Centrality in Directed Dynamic Graphs. IEEE BigData 2018: 2114-2123 - [c74]Albert Bifet, Jesse Read:
Ubiquitous Artificial Intelligence and Dynamic Data Streams. DEBS 2018: 1-6 - [c73]Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet:
Adaptive random forests for data stream regression. ESANN 2018 - [c72]Tian Guo, Albert Bifet, Nino Antulov-Fantulin:
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM 2018: 989-994 - [c71]Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet:
EXAD: A System for Explainable Anomaly Detection on Big Data Traces. ICDM Workshops 2018: 1435-1440 - [c70]Andrian Putina, Steven Barth, Albert Bifet, Drew Pletcher, Cristina Precup, Patrice Nivaggioli, Dario Rossi:
Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data. INFOCOM Workshops 2018: 1-2 - [c69]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scalable Model-Based Cascaded Imputation of Missing Data. PAKDD (3) 2018: 64-76 - [c68]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. PAKDD (3) 2018: 752-764 - [c67]Andrian Putina, Dario Rossi, Albert Bifet, Steven Barth, Drew Pletcher, Cristina Precup, Patrice Nivaggioli:
Telemetry-based stream-learning of BGP anomalies. Big-DAMA@SIGCOMM 2018: 15-20 - [i10]Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet:
Large-Scale Learning from Data Streams with Apache SAMOA. CoRR abs/1805.11477 (2018) - [i9]Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scikit-Multiflow: A Multi-output Streaming Framework. CoRR abs/1807.04662 (2018) - [i8]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities. CoRR abs/1810.10094 (2018) - 2017
- [j19]Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet:
A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50(2): 23:1-23:36 (2017) - [j18]Diego Marron, Jesse Read, Albert Bifet, Nacho Navarro:
Data stream classification using random feature functions and novel method combinations. J. Syst. Softw. 127: 195-204 (2017) - [j17]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): 1469-1495 (2017) - [c66]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: 223-232 - [c65]Jacob Montiel, Albert Bifet, Talel Abdessalem:
Predicting over-indebtedness on batch and streaming data. IEEE BigData 2017: 1504-1513 - [c64]Albert Bifet:
Classifier Concept Drift Detection and the Illusion of Progress. ICAISC (2) 2017: 715-725 - [c63]Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki:
Droplet Ensemble Learning on Drifting Data Streams. IDA 2017: 210-222 - [c62]Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer:
Extremely Fast Decision Tree Mining for Evolving Data Streams. KDD 2017: 1733-1742 - [c61]Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet:
Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories. WWW (Companion Volume) 2017: 139-147 - [e6]Moamar Sayed Mouchaweh, Albert Bifet, Hamid Bouchachia, João Gama, Rita Paula Ribeiro:
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18-22, 2017. CEUR Workshop Proceedings 1958, CEUR-WS.org 2017 [contents] - [i7]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Discriminative Distance-Based Network Indices and the Tiny-World Property. CoRR abs/1703.06227 (2017) - [i6]Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet:
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality in Large Networks. CoRR abs/1704.07351 (2017) - [i5]Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. CoRR abs/1708.08739 (2017) - 2016
- [j16]Valentín Carela-Español, Pere Barlet-Ros, Albert Bifet, Kensuke Fukuda:
A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic. Telecommun. Syst. 63(2): 191-204 (2016) - [j15]