ISETS: Incremental Shapelet Extraction from Time Series Stream (Englisch)
- Neue Suche nach: Zuo, Jingwei
- Neue Suche nach: Zeitouni, Karine
- Neue Suche nach: Taher, Yehia
- Neue Suche nach: Brefeld, Ulf
- Neue Suche nach: Fromont, Elisa
- Weitere Informationen zu Fromont, Elisa:
- https://orcid.org/https://orcid.org/0000-0003-0133-3491
- Neue Suche nach: Hotho, Andreas
- Weitere Informationen zu Hotho, Andreas:
- https://orcid.org/https://orcid.org/0000-0002-0483-5772
- Neue Suche nach: Knobbe, Arno
- Weitere Informationen zu Knobbe, Arno:
- https://orcid.org/https://orcid.org/0000-0002-0335-5099
- Neue Suche nach: Maathuis, Marloes
- Weitere Informationen zu Maathuis, Marloes:
- https://orcid.org/https://orcid.org/0000-0002-3398-9893
- Neue Suche nach: Robardet, Céline
- Weitere Informationen zu Robardet, Céline:
- https://orcid.org/https://orcid.org/0000-0002-8583-9408
- Neue Suche nach: Zuo, Jingwei
- Neue Suche nach: Zeitouni, Karine
- Neue Suche nach: Taher, Yehia
In:
Machine Learning and Knowledge Discovery in Databases
: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III
;
Kapitel: 53
;
790-793
;
2020
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
-
Titel:ISETS: Incremental Shapelet Extraction from Time Series Stream
-
Weitere Titelangaben:Lect.Notes Computer
-
Beteiligte:Brefeld, Ulf ( Herausgeber:in ) / Fromont, Elisa ( Herausgeber:in ) / Hotho, Andreas ( Herausgeber:in ) / Knobbe, Arno ( Herausgeber:in ) / Maathuis, Marloes ( Herausgeber:in ) / Robardet, Céline ( Herausgeber:in ) / Zuo, Jingwei ( Autor:in ) / Zeitouni, Karine ( Autor:in ) / Taher, Yehia ( Autor:in )
-
Kongress:Joint European Conference on Machine Learning and Knowledge Discovery in Databases ; 2019 ; Würzburg, Germany
-
Erschienen in:Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III ; Kapitel: 53 ; 790-793Lecture Notes in Computer Science ; 11908 ; 790-793Lecture Notes in Artificial Intelligence ; 790-793
-
Verlag:
- Neue Suche nach: Springer International Publishing
-
Erscheinungsort:Cham
-
Erscheinungsdatum:30.04.2020
-
Format / Umfang:4 pages
-
ISBN:
-
ISSN:
-
DOI:
-
Medientyp:Aufsatz/Kapitel (Buch)
-
Format:Elektronische Ressource
-
Sprache:Englisch
-
Schlagwörter:
-
Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
-
Deep Ordinal Reinforcement LearningZap, Alexander / Joppen, Tobias / Fürnkranz, Johannes et al. | 2020
- 2
-
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy CriticsSteckelmacher, Denis / Plisnier, Hélène / Roijers, Diederik M. / Nowé, Ann et al. | 2020
- 3
-
Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement LearningDebard, Quentin / Dibangoye, Jilles Steeve / Canu, Stéphane / Wolf, Christian et al. | 2020
- 4
-
Safe Policy Improvement with Soft Baseline BootstrappingNadjahi, Kimia / Laroche, Romain / Tachet des Combes, Rémi et al. | 2020
- 5
-
Practical Open-Loop Optimistic PlanningLeurent, Edouard / Maillard, Odalric-Ambrym et al. | 2020
- 6
-
An Engineered Empirical Bernstein BoundBurgess, Mark A. / Chapman, Archie C. / Scott, Paul et al. | 2020
- 7
-
Stochastic Activation Actor Critic MethodsShang, Wenling / van der Wal, Douwe / van Hoof, Herke / Welling, Max et al. | 2020
- 8
-
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action SpaceWellmer, Zac / Kwok, James T. et al. | 2020
- 9
-
Attentive Multi-task Deep Reinforcement LearningBräm, Timo / Brunner, Gino / Richter, Oliver / Wattenhofer, Roger et al. | 2020
- 10
-
Stochastic One-Sided Full-Information BanditZhao, Haoyu / Chen, Wei et al. | 2020
- 11
-
BelMan: An Information-Geometric Approach to Stochastic BanditsBasu, Debabrota / Senellart, Pierre / Bressan, Stéphane et al. | 2020
- 12
-
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis TournamentsXia, Rui / Tan, Vincent Y. F. / Filstroff, Louis / Févotte, Cédric et al. | 2020
- 13
-
A Reduction of Label Ranking to Multiclass ClassificationBrinker, Klaus / Hüllermeier, Eyke et al. | 2020
- 14
-
Learning to Calibrate and Rerank Multi-label PredictionsLi, Cheng / Pavlu, Virgil / Aslam, Javed / Wang, Bingyu / Qin, Kechen et al. | 2020
- 15
-
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical PerformanceKöppel, Marius / Segner, Alexander / Wagener, Martin / Pensel, Lukas / Karwath, Andreas / Kramer, Stefan et al. | 2020
- 16
-
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender SystemsBurashnikova, Aleksandra / Maximov, Yury / Amini, Massih-Reza et al. | 2020
- 17
-
Automatic Recognition of Student Engagement Using Deep Learning and Facial ExpressionMohamad Nezami, Omid / Dras, Mark / Hamey, Len / Richards, Deborah / Wan, Stephen / Paris, Cécile et al. | 2020
- 18
-
Marine Mammal Species Classification Using Convolutional Neural Networks and a Novel Acoustic RepresentationThomas, Mark / Martin, Bruce / Kowarski, Katie / Gaudet, Briand / Matwin, Stan et al. | 2020
- 19
-
Learning Disentangled Representations of Satellite Image Time SeriesSanchez, Eduardo H. / Serrurier, Mathieu / Ortner, Mathias et al. | 2020
- 20
-
Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep LearningYip, Kai Hou / Nikolaou, Nikolaos / Coronica, Piero / Tsiaras, Angelos / Edwards, Billy / Changeat, Quentin / Morvan, Mario / Biller, Beth / Hinkley, Sasha / Salmond, Jeffrey et al. | 2020
- 21
-
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable RecommendationAvinesh, P. V. S. / Ren, Yongli / Meyer, Christian M. / Chan, Jeffrey / Bao, Zhifeng / Sanderson, Mark et al. | 2020
- 22
-
Augmenting Semantic Representation of Depressive Language: From Forums to MicroblogsFarruque, Nawshad / Zaiane, Osmar / Goebel, Randy et al. | 2020
- 23
-
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea DetectionNikolaidis, Konstantinos / Kristiansen, Stein / Goebel, Vera / Plagemann, Thomas / Liestøl, Knut / Kankanhalli, Mohan et al. | 2020
- 24
-
Wearable-Based Parkinson’s Disease Severity Monitoring Using Deep LearningGoschenhofer, Jann / Pfister, Franz M. J. / Yuksel, Kamer Ali / Bischl, Bernd / Fietzek, Urban / Thomas, Janek et al. | 2020
- 25
-
Investigating Time Series Classification Techniques for Rapid Pathogen Identification with Single-Cell MALDI-TOF Mass Spectrum DataPapagiannopoulou, Christina / Parchen, René / Waegeman, Willem et al. | 2020
- 26
-
CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose ForecastingErtugrul, Ali Mert / Lin, Yu-Ru / Taskaya-Temizel, Tugba et al. | 2020
- 27
-
Scalable Bid Landscape Forecasting in Real-Time BiddingGhosh, Aritra / Mitra, Saayan / Sarkhel, Somdeb / Xie, Jason / Wu, Gang / Swaminathan, Viswanathan et al. | 2020
- 28
-
A Deep Multi-task Approach for Residual Value ForecastingRashed, Ahmed / Jawed, Shayan / Rehberg, Jens / Grabocka, Josif / Schmidt-Thieme, Lars / Hintsches, Andre et al. | 2020
- 29
-
Transfer Learning in Credit RiskSuryanto, Hendra / Guan, Charles / Voumard, Andrew / Beydoun, Ghassan et al. | 2020
- 30
-
Cold-Start Recommendation for On-Demand CinemasLi, Beibei / Jin, Beihong / Xue, Taofeng / Liu, Kunchi / Zhang, Qi / Tian, Sihua et al. | 2020
- 31
-
Shallow Self-learning for Reject Inference in Credit ScoringKozodoi, Nikita / Katsas, Panagiotis / Lessmann, Stefan / Moreira-Matias, Luis / Papakonstantinou, Konstantinos et al. | 2020
- 32
-
LSTM Encoder-Predictor for Short-Term Train Load ForecastingPasini, Kevin / Khouadjia, Mostepha / Samé, Allou / Ganansia, Fabrice / Oukhellou, Latifa et al. | 2020
- 33
-
Characterization and Early Detection of Evergreen News ArticlesLiao, Yiming / Wang, Shuguang / Han, Eui-Hong (Sam) / Lee, Jongwuk / Lee, Dongwon et al. | 2020
- 34
-
Player Vectors: Characterizing Soccer Players’ Playing Style from Match Event StreamsDecroos, Tom / Davis, Jesse et al. | 2020
- 35
-
A Semi-supervised and Online Learning Approach for Non-Intrusive Load MonitoringSalem, Hajer / Sayed-Mouchaweh, Moamar et al. | 2020
- 36
-
Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural NetworksBhalla, Sushrut / Yao, Matthew / Hickey, Jean-Pierre / Crowley, Mark et al. | 2020
- 37
-
Generative Adversarial Networks for Failure PredictionZheng, Shuai / Farahat, Ahmed / Gupta, Chetan et al. | 2020
- 38
-
Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical ConsumptionMarot, Antoine / Rosin, Antoine / Crochepierre, Laure / Donnot, Benjamin / Pinson, Pierre / Boudjeloud-Assala, Lydia et al. | 2020
- 39
-
Manufacturing Dispatching Using Reinforcement and Transfer LearningZheng, Shuai / Gupta, Chetan / Serita, Susumu et al. | 2020
- 40
-
An Aggregate Learning Approach for Interpretable Semi-supervised Population Prediction and Disaggregation Using Ancillary DataDerval, Guillaume / Docquier, Frédéric / Schaus, Pierre et al. | 2020
- 41
-
Optimizing Neural Networks for Patent ClassificationAbdelgawad, Louay / Kluegl, Peter / Genc, Erdan / Falkner, Stefan / Hutter, Frank et al. | 2020
- 42
-
The Search for Equations – Learning to Identify Similarities Between Mathematical ExpressionsPfahler, Lukas / Schill, Jonathan / Morik, Katharina et al. | 2020
- 43
-
Data-Driven Policy on Feasibility Determination for the Train Shunting Problemde Oliveira da Costa, Paulo Roberto / Rhuggenaath, Jason / Zhang, Yingqian / Akcay, Alp / Lee, Wan-Jui / Kaymak, Uzay et al. | 2020
- 44
-
Automated Data Transformation with Inductive Programming and Dynamic Background KnowledgeContreras-Ochando, Lidia / Ferri, Cèsar / Hernández-Orallo, José / Martínez-Plumed, Fernando / Ramírez-Quintana, María José / Katayama, Susumu et al. | 2020
- 45
-
BK-ADAPT: Dynamic Background Knowledge for Automating Data TransformationContreras-Ochando, Lidia / Ferri, César / Hernández-Orallo, José / Martínez-Plumed, Fernando / Ramírez-Quintana, María José / Katayama, Susumu et al. | 2020
- 46
-
A Tool for Researchers: Querying Big Scholarly Data Through Graph DatabasesMercorio, Fabio / Mezzanzanica, Mario / Moscato, Vincenzo / Picariello, Antonio / Sperlì, Giancarlo et al. | 2020
- 47
-
OCADaMi: One-Class Anomaly Detection and Data Mining ToolboxTheissler, Andreas / Frey, Stephan / Ehlert, Jens et al. | 2020
- 48
-
MatrixCalculus.org – Computing Derivatives of Matrix and Tensor ExpressionsLaue, Sören / Mitterreiter, Matthias / Giesen, Joachim et al. | 2020
- 49
-
Towards a Predictive Patent Analytics and Evaluation PlatformAlam, Nebula / Tran, Khoi-Nguyen / Chen, Sue Ann / Wagner, John / Andres, Josh / Mohania, Mukesh et al. | 2020
- 50
-
A Virtualized Video Surveillance System for Public TransportationMarinč, Talmaj / Gül, Serhan / Hellge, Cornelius / Schüßler, Peter / Riegel, Thomas / Amon, Peter et al. | 2020
- 51
-
Distributed Algorithms to Find Similar Time SeriesLevchenko, Oleksandra / Kolev, Boyan / Yagoubi, Djamel-Edine / Shasha, Dennis / Palpanas, Themis / Valduriez, Patrick / Akbarinia, Reza / Masseglia, Florent et al. | 2020
- 52
-
UnFOOT: Unsupervised Football Analytics ToolCoutinho, José Carlos / Moreira, João Mendes / de Sá, Cláudio Rebelo et al. | 2020
- 53
-
ISETS: Incremental Shapelet Extraction from Time Series StreamZuo, Jingwei / Zeitouni, Karine / Taher, Yehia et al. | 2020
- 54
-
Industrial Event Log Analyzer - Self-service Data Mining for Domain ExpertsBorrison, Reuben / Klöpper, Benjamin / Saini, Sunil et al. | 2020