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Albert Bifet

Albert Bifet
Institution office homepage group
 Institut Mines-Telecom 48 None Former members of the LINCS

Articles

Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams,
Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu,
IDA 2020
Survey on Feature Transformation Techniques for Data Streams,
Maroua Bahri, Albert Bifet, Silviu Maniu, Heitor Murilo Gomes,
IJCAI 2020
confStream - Automated Algorithm Selection and Configuration of Stream Clustering Algorithms,
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer,
LION 2020
Network of Experts - Learning from Evolving Data Streams Through Network-Based Ensembles,
Heitor Murilo Gomes, Albert Bifet , Philippe Fournier Viger, Jones Granatyr, Jesse Read,
ICONIP 2019
Adaptive Algorithms for Estimating Betweenness and k-path Centralities,
Mostafa Haghir Chehreghani, Albert Bifet , Talel Abdessalem,
CIKM 2019, Beijing, France
Continuous Analytics of Web Streams,
Riccardo Tommasini, Robin Keskisarkka, Jean Paul Calbimonte, Eva Blomqvist, Emanuele Della Valle, Albert Bifet ,
WWW 2019, San Francisco, United States
ORSUM 2019 2nd workshop on online recommender systems and user modeling,
João Vinagre, Alipio Mario Jorge, Albert Bifet , Marie Al Ghossein,
RecSys 2019, Copenhagen, France
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality Talel Abdessalem,
Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet ,
22nd International Conference on Extending Database Technology EDBT 2019 2019, Lisbon, Portugal
Adaptive Random Forests with Resampling for Imbalanced data Streams,
Luis Eduardo Boiko Ferreira, Heitor Murilo Gomes, Albert Bifet , Luiz Oliveira,
IJCNN 2019, Budapest, France
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams,
Dihia Boulegane, Albert Bifet , Giyyarpuram Madhusudan,
BigData 2019
Real-Time Machine Learning Competition on Data Streams at the IEEE Big Data 2019,
Dihia Boulegane, Nedeljko Radulovic, Albert Bifet , Ghislain Fievet, Jimin Sohn, Yeonwoo Nam, Seojeong Yu, Dong Wan Choi,
BigData 2019
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams,
Heitor Murilo Gomes, Rodrigo Fernandes De Mello, Bernhard Pfahringer, Albert Bifet ,
BigData 2019
Semi-supervised Learning over Streaming Data using MOA,
Minh Huong Le Nguyen, Heitor Murilo Gomes, Albert Bifet ,
BigData 2019
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality,
Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet ,
EDBT 2019
Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets,
Albert Bifet , Barbara Hammer, Frank Michael Schleif,
ESANN 2019
Streaming Random Patches for Evolving Data Stream Classification,
Heitor Murilo Gomes, Jesse Read, Albert Bifet ,
ICDM 2019
IDSA-IoT - An Intrusion Detection System Architecture for IoT Networks,
Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro De Faria, Albert Bifet ,
ISCC 2019
Towards Automated Configuration of Stream Clustering Algorithms,
Matthias Carnein, Heike Trautmann, Albert Bifet , Bernhard Pfahringer,
PKDD/ECML Workshops 2019
DyBED - An Efficient Algorithm for Updating Betweenness Centrality in Directed Dynamic Graphs,
Mostafa Haghir Chehreghani, Albert Bifet , Talel Abdessalem,
BigData 2018, Seattle, United States
An In-depth Comparison of Group Betweenness Centrality Estimation Algorithms,
Mostafa Haghir Chehreghani, Albert Bifet , Talel Abdessalem,
BigData 2018, Seattle, United States
Unsupervised real-time detection of BGP anomalies leveraging high-rate and fine-grained telemetry data,
Andrian Putina , Steven Barth, Albert Bifet , Drew Pletcher, Cristina Precup, Patrice Nivaggioli, Dario Rossi ,
INFOCOM Workshops 2018, Honolulu, United States
Adaptive random forests for data stream regression,
Heitor Murilo Gomes, Jean Paul Barddal, Luis Eduardo Boiko Ferreira, Albert Bifet ,
ESANN 2018, Bruges, Belgium
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs,
Mostafa Haghir Chehreghani, Albert Bifet , Talel Abdessalem,
PAKDD 2018, Melbourne, Australia
Scalable Model-Based Cascaded Imputation of Missing Data,
Jacob Montiel, Jesse Read, Albert Bifet , Talel Abdessalem,
PAKDD 2018, Melbourne, Australia
Ubiquitous Artificial Intelligence and Dynamic Data Streams,
Albert Bifet , Jesse Read,
DEBS 2018, Hamilton, New Zealand
Telemetry-based stream-learning of BGP anomalies,
Andrian Putina , Dario Rossi , Albert Bifet , Steven Barth, Drew Pletcher, Cristina Precup, Patrice Nivaggioli,
Big-DAMA@SIGCOMM 2018, Budapest, Hungary
EXAD - A System for Explainable Anomaly Detection on Big Data Traces,
Fei Song, Yanlei Diao, Jesse Read, Arnaud Stiegler, Albert Bifet ,
ICDM Workshops 2018, Singapore, Singapore
A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams,
Maroua Bahri, Silviu Maniu, Albert Bifet ,
BigData 2018
Learning Fast and Slow - A Unified Batch/Stream Framework,
Jacob Montiel, Albert Bifet , Viktor Losing, Jesse Read, Talel Abdessalem,
BigData 2018
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders,
Tian Guo, Albert Bifet , Nino Antulov Fantulin,
ICDM 2018
Internet of Things (IoT) Analytics,
Albert Bifet ,
The 16th International Conference on Artificial Intelligence and Soft Computing ICAISC 2017 2017, Zakopane, Poland
Low-latency multi-threaded ensemble learning for dynamic big data streams,
Diego Marron, Eduard Ayguade, Jose Herrero, Jesse Read, Albert Bifet ,
BigData 2017, Boston, France
Droplets Ensemble Learning on Drifting Data Streams,
Pierre-Xavier Loeffel, Albert Bifet , Christophe Marsala, Marcin Detyniecki,
16th International Symposium on Intelligent Data Analysis (IDA'2017) 2017, London, United Kingdom
Predicting over-indebtedness on batch and streaming data,
Jacob Montiel, Albert Bifet , Talel Abdessalem,
BigData 2017
Droplet Ensemble Learning on Drifting Data Streams,
Pierre Xavier Loeffel, Albert Bifet , Christophe Marsala, Marcin Detyniecki,
IDA 2017
Extremely Fast Decision Tree Mining for Evolving Data Streams,
Albert Bifet , Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer,
KDD 2017
Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories,
Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet ,
WWW 2017
Massive Online Analytics for the Internet of Things (IoT),
Albert Bifet,
The 8th Asian Conference on Machine Learning 2016, Hamilton, New Zealand
Echo State Hoeffding Tree Learning,
Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguade, Jose Herrero,
ACML 2016
VHT - Vertical hoeffding tree,
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet, Arinto Murdopo,
BigData 2016
IoT Big Data Stream Mining,
Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, João Gama, Wei Fan,
KDD 2016
On Dynamic Feature Weighting for Feature Drifting Data Streams,
Jean Paul Barddal, Heitor Murilo Gomes, Fabricio Enembreck, Bernhard Pfahringer, Albert Bifet,
ECML/PKDD 2016
Deferral classification of evolving temporal dependent data streams,
Michael Mayo, Albert Bifet,
SAC 2016
Analyzing Big Data Streams with Apache SAMOA,
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet,
MSM@WWW,MUSE@PKDD/ECML 2016
StreamDM - Advanced Data Mining in Spark Streaming,
Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He, Wei Fan,
ICDM Workshops 2015, Atlantic City, NJ, United States
Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams,
Sripirakas Sakthithasan, Russel Pears, Albert Bifet, Bernhard Pfahringer,
IJCNN 2015
Efficient Online Evaluation of Big Data Stream Classifiers,
Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer,
KDD 2015
Preface,
Wei Fan, Albert Bifet, Qiang Yang, Philip Yu,
BigMine 2015
Drift Detection Using Stream Volatility,
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet,
ECML/PKDD 2015
Deep learning in partially-labeled data streams,
Jesse Read, Fernando Perez Cruz, Albert Bifet,
SAC 2015
Distributed Adaptive Model Rules for mining big data streams,
Anh Thu Vu, Gianmarco De Francisci Morales, João Gama, Albert Bifet,
BigData 2014
Random Forests of Very Fast Decision Trees on GPU for Mining Evolving Big Data Streams,
Diego Marron, Albert Bifet, Gianmarco De Francisci Morales,
ECAI 2014
Détection de changements dans des flots de données qualitatives,
Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet,
EGC 2014
Big Data Stream Learning with SAMOA,
Albert Bifet, Gianmarco De Francisci Morales,
ICDM Workshops 2014
Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams,
Brandon Parker, Latifur Khan, Albert Bifet,
ICDM Workshops 2014
Multi-label Classification with Meta-Labels,
Jesse Read, Antti Puurula, Albert Bifet,
ICDM 2014
Change detection in categorical evolving data streams,
Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet,
SAC 2014
Clustering Based Active Learning for Evolving Data Streams,
Dino Ienco, Albert Bifet, Indre Zliobaite, Bernhard Pfahringer,
Discovery Science 2013
CD-MOA - Change Detection Framework for Massive Online Analysis,
Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Indre Zliobaite,
IDA 2013
STRIP - stream learning of influence probabilities,
Konstantin Kutzkov, Albert Bifet, Francesco Bonchi, Aristides Gionis,
KDD 2013
Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them,
Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes,
ECML/PKDD 2013
Efficient data stream classification via probabilistic adaptive windows,
Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes,
SAC 2013
Stream Data Mining Using the MOA Framework,
Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read,
DASFAA 2012
Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data,
Jesse Read, Albert Bifet, Bernhard Pfahringer, Geoff Holmes,
IDA 2012
MOA-TweetReader - Real-Time Analysis in Twitter Streaming Data,
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer,
Discovery Science 2011
Online Evaluation of Email Streaming Classifiers Using GNUsmail,
Jose Carmona Cejudo, Manuel Baena Garcia, Jose Del Campo Avila, Albert Bifet, João Gama, Rafael Morales Bueno,
IDA 2011
Mining frequent closed graphs on evolving data streams,
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavalda,
KDD 2011
An effective evaluation measure for clustering on evolving data streams,
Hardy Kremer, Philipp Kranen, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer,
KDD 2011
MOA - A Real-Time Analytics Open Source Framework,
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Jesse Read, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl,
ECML/PKDD 2011
Active Learning with Evolving Streaming Data,
Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoff Holmes,
ECML/PKDD 2011
Detecting Sentiment Change in Twitter Streaming Data,
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavalda,
WAPA 2011
Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification,
Jose Carmona Cejudo, Manuel Baena Garcia, Rafael Morales Bueno, João Gama, Albert Bifet,
WAPA 2011
Streaming Multi-label Classification,
Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer,
WAPA 2011
MOA Concept Drift Active Learning Strategies for Streaming Data,
Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer,
WAPA 2011
Sentiment Knowledge Discovery in Twitter Streaming Data,
Albert Bifet, Eibe Frank,
Discovery Science 2010
GNUsmail - Open Framework for On-line Email Classification,
Jose Carmona Cejudo, Manuel Baena Garcia, Jose Del Campo Avila, Rafael Morales Bueno, Albert Bifet,
ECAI 2010
Clustering Performance on Evolving Data Streams - Assessing Algorithms and Evaluation Measures within MOA,
Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl, Albert Bifet, Geoff Holmes, Bernhard Pfahringer,
ICDM Workshops 2010
Fast Perceptron Decision Tree Learning from Evolving Data Streams,
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Eibe Frank,
PAKDD 2010
Leveraging Bagging for Evolving Data Streams,
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer,
ECML/PKDD 2010
Accurate Ensembles for Data Streams - Combining Restricted Hoeffding Trees using Stacking,
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer,
ACML 2010
MOA - Massive Online Analysis, a Framework for Stream Classification and Clustering,
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl,
WAPA 2010
Improving Adaptive Bagging Methods for Evolving Data Streams,
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavalda,
ACML 2009
Adaptive Learning from Evolving Data Streams,
Albert Bifet, Ricard Gavalda,
IDA 2009
New ensemble methods for evolving data streams,
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavalda,
KDD 2009
Adaptive XML Tree Classification on Evolving Data Streams,
Albert Bifet, Ricard Gavalda,
ECML/PKDD 2009
Mining Implications from Lattices of Closed Trees,
Jose Balcazar, Albert Bifet, Antoni Lozano,
EGC 2008
Mining adaptively frequent closed unlabeled rooted trees in data streams,
Albert Bifet, Ricard Gavalda,
KDD 2008
Subtree Testing and Closed Tree Mining Through Natural Representations,
Jose Balcazar, Albert Bifet, Antoni Lozano,
DEXA Workshops 2007
Mining Frequent Closed Unordered Trees Through Natural Representations,
Jose Balcazar, Albert Bifet, Antoni Lozano,
ICCS 2007
Learning from Time-Changing Data with Adaptive Windowing,
Albert Bifet, Ricard Gavalda,
SDM 2007
Kalman Filters and Adaptive Windows for Learning in Data Streams,
Albert Bifet, Ricard Gavalda,
Discovery Science 2006
An Analysis of Factors Used in Search Engine Ranking,
Albert Bifet, Carlos Castillo, Paul Alexandru Chirita, Ingmar Weber,
AIRWeb 2005

Journal articles

Spiking Neural Networks and online learning - An overview and perspectives,
Jesus Lobo, Javier Del Ser, Albert Bifet, Nikola Kasabov,
Neural Networks 2020
Sampling informative patterns from large single networks,
Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet, Meriem Bouzbila,
Future Gener. Comput. Syst. 2020
Discriminative Streaming Network Embedding,
Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang,
Knowl. Based Syst. 2020
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning,
Jesus Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser,
Neural Networks 2020
Recurring concept meta-learning for evolving data streams,
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet ,
Expert Systems with Applications 2019
Machine learning for streaming data,
Heitor Murilo Gomes, Jesse Read, Albert Bifet , Jean Paul Barddal, João Gama,
ACM SIGKDD Explorations Newsletter (ACM Digital Library) 2019
Boosting decision stumps for dynamic feature selection on data streams,
Jean Paul Barddal, Fabricio Enembreck, Heitor Murilo Gomes, Albert Bifet , Bernhard Pfahringer,
Information Systems 2019
Efficient frequent subgraph mining on large streaming graphs,
Abhik Ray, Lawrence Holder, Albert Bifet ,
Intelligent Data Analysis 2019
Measuring the Shattering coefficient of Decision Tree models,
Rodrigo Fernandes De Mello, Chaitanya Manapragada, Albert Bifet ,
Expert Systems with Applications 2019
On learning guarantees to unsupervised concept drift detection on data streams,
Rodrigo Fernandes De Mello, Yule Vaz, Carlos Henrique Grossi Ferreira, Albert Bifet ,
Expert Systems with Applications 2019
Merit-guided dynamic feature selection filter for data streams,
Jean Paul Barddal, Fabricio Enembreck, Heitor Murilo Gomes, Albert Bifet , Bernhard Pfahringer,
Expert Syst. Appl. 2019
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining,
Jesse Read, Albert Bifet , Wei Fan, Qiang Yang, Philip Yu,
Int. J. Data Sci. Anal. 2019
Correction to - Adaptive random forests for evolving data stream classification,
Heitor Murilo Gomes, Albert Bifet , Jesse Read, Jean Paul Barddal, Fabricio Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem,
Mach. Learn. 2019
Machine learning for streaming data - state of the art, challenges, and opportunities,
Heitor Murilo Gomes, Jesse Read, Albert Bifet , Jean Paul Barddal, João Gama,
SIGKDD Explorations 2019
Scikit-Multiflow - A Multi-output Streaming Framework,
Jacob Montiel, Jesse Read, Albert Bifet , Talel Abdessalem,
Journal of Machine Learning Research 2018
Discriminative Distance-Based Network Indices with Application to Link Prediction,
Mostafa Haghir Chehreghani, Albert Bifet , Talel Abdessalem,
The Computer Journal 2018
Predicting attributes and friends of mobile users from AP-Trajectories,
Pinghui Wang, Feiyang Sun, Di Wang, Jing Tao, Xiaohong Guan, Albert Bifet ,
Inf. Sci. 2018
Adaptive random forests for evolving data stream classification,
Heitor Murilo Gomes, Albert Bifet , Jesse Read, Jean Paul Barddal, Fabricio Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem,
Machine Learning 2017
Data stream classification using random feature functions and novel method combinations,
Diego Marron, Jesse Read, Albert Bifet , Nacho Navarro,
Journal of Systems and Software 2017
A Survey on Ensemble Learning for Data Stream Classification,
Heitor Murilo Gomes, Jean Paul Barddal, Fabricio Enembreck, Albert Bifet ,
ACM Computing Surveys 2017
A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic,
Valentin Carela Español, Pere Barlet Ros, Albert Bifet, Kensuke Fukuda,
Telecommun. Syst. 2016
Adaptive Model Rules From High-Speed Data Streams,
João Duarte, João Gama, Albert Bifet,
ACM Trans. Knowl. Discov. Data 2016
An efficient closed frequent itemset miner for the MOA stream mining system,
Massimo Quadrana, Albert Bifet, Ricard Gavalda,
AI Commun. 2015
SAMOA - scalable advanced massive online analysis,
Gianmarco De Francisci Morales, Albert Bifet,
J. Mach. Learn. Res. 2015
Evaluation methods and decision theory for classification of streaming data with temporal dependence,
Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes,
Mach. Learn. 2015
A survey on concept drift adaptation,
João Gama, Indre Zliobaite, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia,
ACM Comput. Surv. 2014
Active Learning With Drifting Streaming Data,
Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes,
IEEE Trans. Neural Networks Learn. Syst. 2014
Scalable and efficient multi-label classification for evolving data streams,
Jesse Read, Albert Bifet, Geoff Holmes, Bernhard Pfahringer,
Mach. Learn. 2012
Mining big data - current status, and forecast to the future,
Wei Fan, Albert Bifet,
SIGKDD Explorations 2012
Next challenges for adaptive learning systems,
Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, João Gama, Leandro Minku, Katarzyna Musial,
SIGKDD Explorations 2012
Ensembles of Restricted Hoeffding Trees,
Albert Bifet, Eibe Frank, Geoff Holmes, Bernhard Pfahringer,
ACM Trans. Intell. Syst. Technol. 2012
Mining frequent closed trees in evolving data streams,
Albert Bifet, Ricard Gavalda,
Intell. Data Anal. 2011
MOA - Massive Online Analysis,
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer,
J. Mach. Learn. Res. 2010
Mining frequent closed rooted trees,
Jose Balcazar, Albert Bifet, Antoni Lozano,
Mach. Learn. 2010

Reports

Adaptive XGBoost for Evolving Data Streams,
Jacob Montiel, Rory Mitchell, Eibe Frank, Bernhard Pfahringer, Talel Abdessalem, Albert Bifet,
CoRR 2020
S2CE - A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams,
Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet,
CoRR 2020
Resource-aware Elastic Swap Random Forest for Evolving Data Streams,
Diego Marrón, Eduard Ayguade, Jose Ramon Herrero, Albert Bifet ,
CoRR 2019
Exploiting a Stimuli Encoding Scheme of Spiking Neural Networks for Stream Learning,
Jesus Lobo, Izaskun Oregi, Albert Bifet , Javier Del Ser,
CoRR 2019
Rebalancing Learning on Evolving Data Streams,
Alessio Bernardo, Emanuele Della Valle, Albert Bifet ,
CoRR 2019
Large-Scale Learning from Data Streams with Apache SAMOA,
Nicolas Kourtellis, Gianmarco De Francisci Morales, Albert Bifet ,
CoRR 2018
Novel Adaptive Algorithms for Estimating Betweenness, Coverage and k-path Centralities,
Mostafa Haghir Chehreghani, Albert Bifet , Talel Abdessalem,
CoRR 2018
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality in Large Networks,
Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet ,
CoRR 2017
Discriminative Distance-Based Network Indices and the Tiny-World Property,
Mostafa Haghir Chehreghani, Albert Bifet , Talel Abdessalem,
CoRR 2017
Kaggle LSHTC4 Winning Solution,
Antti Puurula, Jesse Read, Albert Bifet,
CoRR 2014

Editorship

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,
Albert Bifet, Michele Berlingerio, João Gama, Jesse Read, Ana Rita Nogueira,
['BigMine@KDD', 'CEUR Workshop Proceedings'] 2020
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers,
Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet , João Gama, Rita Ribeiro,
['DMLE/IOTSTREAMING@PKDD/ECML', 'Communications in Computer and Information Science'] 2019
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings,
Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet , Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva Garcia Martin, Ricard Gavalda, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian Molloy, Maria Irina Nicolae, Mathieu Sinn,
['Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML', 'Lecture Notes in Computer Science'] 2019
2nd Workshop on Online Recommender Systems and User Modeling, ORSUM@RecSys 2019, 19 September 2019, Copenhagen, Denmark,
João Vinagre, Alipio Mario Jorge, Albert Bifet , Marie Al Ghossein,
['ORSUM@RecSys', 'Proceedings of Machine Learning Research'] 2019
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,
Moamar Sayed Mouchaweh, Albert Bifet , Hamid Bouchachia, João Gama, Rita Paula Ribeiro,
['IOTSTREAMING@PKDD/ECML', 'CEUR Workshop Proceedings'] 2017
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,
Wei Fan, Albert Bifet, Jesse Read, Qiang Yang, Philip Yu,
['BigMine', 'JMLR Workshop and Conference Proceedings'] 2016
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III,
Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou,
['ECML/PKDD', 'Lecture Notes in Computer Science'] 2015
Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining - Algorithms, Systems, Programming Models and Applications, BigMine 2014, New York City, USA, August 24, 2014,
Wei Fan, Albert Bifet, Qiang Yang, Philip Yu,
['BigMine', 'JMLR Workshop and Conference Proceedings'] 2014
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining - Algorithms, Systems, Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013,
Wei Fan, Albert Bifet, Qiang Yang, Philip Yu,
BigMine 2013
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining - Algorithms, Systems, Programming Models and Applications, BigMine 2012, Beijing, China, August 12, 2012,
Wei Fan, Albert Bifet, Qiang Yang, Philip Yu,
BigMine 2012