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Ira Assent
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- affiliation: Aarhus University, Denmark
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2020 – today
- 2024
- [c88]Cheng Huang, Alexander Mathiasen, Josef Dean, Davide Mottin, Ira Assent:
HUNIPU: Efficient Hungarian Algorithm on IPUs. ICDEW 2024: 388-394 - [c87]Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent:
DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. ICDE 2024: 1143-1156 - [i22]Saeedeh Javadi, Atefeh Moradan, Mohammad Sorkhpar, Klim Zaporojets, Davide Mottin, Ira Assent:
Wiki Entity Summarization Benchmark. CoRR abs/2406.08435 (2024) - [i21]Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent:
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language. CoRR abs/2406.17753 (2024) - [i20]Anna Beer, Martin Heinrigs, Claudia Plant, Ira Assent:
Temporal Subspace Clustering for Molecular Dynamics Data. CoRR abs/2408.00056 (2024) - [i19]Rafael Pablos-Sarabia, Joachim Nyborg, Morten Birk, Jeppe Liborius Sjørup, Anders Lillevang Vesterholt, Ira Assent:
Multi-Source Temporal Attention Network for Precipitation Nowcasting. CoRR abs/2410.08641 (2024) - 2023
- [j29]Aaron Hurst, Daniel E. Lucani, Ira Assent, Qi Zhang:
GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics. IEEE Internet Things J. 10(5): 4006-4020 (2023) - [j28]Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent:
UCoDe: unified community detection with graph convolutional networks. Mach. Learn. 112(12): 5057-5080 (2023) - [c86]Antonela Tommasel, Ira Assent:
Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems. IEEE Big Data 2023: 4195-4204 - [c85]Jakob Rødsgaard Jørgensen, Ira Assent:
EGG-SynC: Exact GPU-parallelized Grid-based Clustering by Synchronization. EDBT 2023: 195-207 - [c84]Amalie Brogaard Pauli, Leon Derczynski, Ira Assent:
Anchoring Fine-tuning of Sentence Transformer with Semantic Label Information for Efficient Truly Few-shot Classification. EMNLP 2023: 11254-11264 - [c83]Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent:
SGD Biased towards Early Important Samples for Efficient Training. ICDM 2023: 1289-1294 - [c82]Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay:
ActUp: Analyzing and Consolidating tSNE and UMAP. IJCAI 2023: 3651-3658 - [c81]Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent:
Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering. KDD 2023: 80-92 - [c80]Antonela Tommasel, Rafael Pablos-Sarabia, Ira Assent:
Re2Dan: Retrieval of Medical Documents for e-Health in Danish. RecSys 2023: 1208-1211 - [c79]Amalie Brogaard Pauli, Rafael Pablos-Sarabia, Leon Derczynski, Ira Assent:
TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection. SemEval@ACL 2023: 847-855 - [c78]Ignacio Talavera Cepeda, Amalie Brogaard Pauli, Ira Assent:
Sren Kierkegaard at SemEval-2023 Task 4: Label-aware text classification using Natural Language Inference. SemEval@ACL 2023: 1871-1877 - [i18]Andrew Draganov, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Davide Mottin, Ira Assent, Tyrus Berry, Çigdem Aslay:
ActUp: Analyzing and Consolidating tSNE and UMAP. CoRR abs/2305.07320 (2023) - [i17]Rafael Pablos-Sarabia, Joachim Nyborg, Morten Birk, Ira Assent:
RainAI - Precipitation Nowcasting from Satellite Data. CoRR abs/2311.18398 (2023) - 2022
- [j27]Son T. Mai, Jon Jacobsen, Sihem Amer-Yahia, Ivor T. A. Spence, Nhat-Phuong Tran, Ira Assent, Quoc Viet Hung Nguyen:
Incremental Density-Based Clustering on Multicore Processors. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1338-1356 (2022) - [c77]Joachim Nyborg, Charlotte Pelletier, Ira Assent:
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding. CVPR Workshops 2022: 1391-1401 - [c76]Jakob Rødsgaard Jørgensen, Ira Assent, Hans-Jörg Schulz:
AVID: GPU-enabled Visual Analytics with GPU-FAST-PROCLUS. EDBT 2022: 2:562-2:565 - [c75]Jakob Rødsgaard Jørgensen, Katrine Scheel, Ira Assent, Ajeet Ram Pathak, Anne C. Elster:
GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering. EDBT 2022: 2:196-2:206 - [c74]Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent, Simon Enni, Marianne Graves Petersen:
From Demo to Design in Teaching Machine Learning. FAccT 2022: 2168-2178 - [i16]Joachim Nyborg, Charlotte Pelletier, Ira Assent:
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding. CoRR abs/2203.09175 (2022) - [i15]Andrew Draganov, Tyrus Berry, Jakob Rødsgaard Jørgensen, Katrine Scheel Nellemann, Ira Assent, Davide Mottin:
GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification. CoRR abs/2206.09689 (2022) - 2021
- [j26]Ciprian-Octavian Truica, Elena Simona Apostol, Jérôme Darmont, Ira Assent:
TextBenDS: a Generic Textual Data Benchmark for Distributed Systems. Inf. Syst. Frontiers 23(1): 81-100 (2021) - [c73]Joachim Nyborg, Ira Assent:
Weakly-Supervised Cloud Detection with Fixed-Point GANs. IEEE BigData 2021: 4191-4198 - [c72]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. BMVC 2021: 43 - [c71]Mads Toftrup, Søren Asger Sørensen, Manuel R. Ciosici, Ira Assent:
A reproduction of Apple's bi-directional LSTM models for language identification in short strings. EACL (Student Research Workshop) 2021: 36-42 - [c70]Jakob Rødsgaard Jørgensen, Katrine Scheel, Ira Assent:
GPU-INSCY: A GPU-Parallel Algorithm and Tree Structure for Efficient Density-based Subspace Clustering. EDBT 2021: 25-36 - [c69]Aaron Hurst, Qi Zhang, Daniel E. Lucani, Ira Assent:
Direct Analytics of Generalized Deduplication Compressed IoT Data. GLOBECOM 2021: 1-6 - [i14]Mads Toftrup, Søren Asger Sørensen, Manuel R. Ciosici, Ira Assent:
A reproduction of Apple's bi-directional LSTM models for language identification in short strings. CoRR abs/2102.06282 (2021) - [i13]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. CoRR abs/2103.13701 (2021) - [i12]Simon Enni, Ira Assent:
Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development. CoRR abs/2105.00687 (2021) - [i11]Ciprian-Octavian Truica, Elena Apostol, Jérôme Darmont, Ira Assent:
TextBenDS: a generic Textual data Benchmark for Distributed Systems. CoRR abs/2108.05689 (2021) - [i10]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
On Quantitative Evaluations of Counterfactuals. CoRR abs/2111.00177 (2021) - [i9]Joachim Nyborg, Charlotte Pelletier, Sébastien Lefèvre, Ira Assent:
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation. CoRR abs/2111.02682 (2021) - [i8]Joachim Nyborg, Ira Assent:
Weakly-Supervised Cloud Detection with Fixed-Point GANs. CoRR abs/2111.11879 (2021) - [i7]Atefeh Moradan, Andrew Draganov, Davide Mottin, Ira Assent:
UCoDe: Unified Community Detection with Graph Convolutional Networks. CoRR abs/2112.14822 (2021) - 2020
- [j25]Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier:
Introduction to the special issue of the ECML PKDD 2020 journal track. Data Min. Knowl. Discov. 34(5): 1235-1236 (2020) - [j24]Ira Assent, Carlotta Domeniconi, Aristides Gionis, Eyke Hüllermeier:
Introduction to the special issue of the ECML PKDD 2020 journal track. Mach. Learn. 109(9-10): 1697-1698 (2020) - [c68]Holger Trittenbach, Klemens Böhm, Ira Assent:
Active Learning of SVDD Hyperparameter Values. DSAA 2020: 109-117 - [c67]Jesper Brink Andersen, Mikkel Bak Bertelsen, Mikkel Hørby Schou, Manuel R. Ciosici, Ira Assent:
One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations. Eval4NLP 2020: 120-130 - [c66]Jan Neerbek, Morten Eskildsen, Peter Dolog, Ira Assent:
A Real-World Data Resource of Complex Sensitive Sentences Based on Documents from the Monsanto Trial. LREC 2020: 1258-1267 - [c65]Manuel R. Ciosici, Ira Assent, Leon Derczynski:
Accelerated High-Quality Mutual-Information Based Word Clustering. LREC 2020: 2491-2496
2010 – 2019
- 2019
- [j23]Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent:
Synchronization-based clustering on evolving data stream. Inf. Sci. 501: 573-587 (2019) - [j22]Son T. Mai, Sihem Amer-Yahia, Ira Assent, Mathias Skovgaard Birk, Martin Storgaard Dieu, Jon Jacobsen, Jesper Kristensen:
Scalable Interactive Dynamic Graph Clustering on Multicore CPUs. IEEE Trans. Knowl. Data Eng. 31(7): 1239-1252 (2019) - [c64]Panagiotis Bouros, Ira Assent, Jacob Jeppesen, Thomas Skjødeberg Toftegaard:
Processing Satellite Imagery for Decision-Making in Precision Agriculture. EDBT/ICDT Workshops 2019 - [c63]Manuel R. Ciosici, Ira Assent:
Abbreviation Explorer - an interactive system for pre-evaluation of Unsupervised Abbreviation Disambiguation. NAACL-HLT (Demonstrations) 2019: 1-5 - [c62]Manuel R. Ciosici, Leon Derczynski, Ira Assent:
Quantifying the morphosyntactic content of Brown Clusters. NAACL-HLT (1) 2019: 1541-1550 - [c61]Jan Neerbek, Peter Dolog, Ira Assent:
Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings. PAKDD (3) 2019: 40-53 - [i6]Manuel R. Ciosici, Tobias Sommer, Ira Assent:
Unsupervised Abbreviation Disambiguation Contextual disambiguation using word embeddings. CoRR abs/1904.00929 (2019) - [i5]Holger Trittenbach, Klemens Böhm, Ira Assent:
Active Learning of SVDD Hyperparameter Values. CoRR abs/1912.01927 (2019) - 2018
- [j21]Son T. Mai, Ira Assent, Jon Jacobsen, Martin Storgaard Dieu:
Anytime parallel density-based clustering. Data Min. Knowl. Discov. 32(4): 1121-1176 (2018) - [j20]The Hai Pham, Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le:
Interactive Exploration of Subspace Clusters on Multicore Processors. Trans. Large Scale Data Knowl. Centered Syst. 39: 169-199 (2018) - [c60]Manuel R. Ciosici, Ira Assent:
Abbreviation Expander - a Web-based System for Easy Reading of Technical Documents. COLING (Demos) 2018: 1-4 - [c59]Simon Enni, Ira Assent:
Using Balancing Terms to Avoid Discrimination in Classification. ICDM 2018: 947-952 - [c58]Jan Neerbek, Ira Assent, Peter Dolog:
Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks. PAKDD (3) 2018: 373-385 - 2017
- [c57]Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le:
Interactive Exploration of Subspace Clusters for High Dimensional Data. DEXA (1) 2017: 327-342 - [c56]Son T. Mai, Martin Storgaard Dieu, Ira Assent, Jon Jacobsen, Jesper Kristensen, Mathias Skovgaard Birk:
Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs. ICDE 2017: 349-360 - [c55]Jan Neerbek, Ira Assent, Peter Dolog:
TABOO: Detecting Unstructured Sensitive Information Using Recursive Neural Networks. ICDE 2017: 1399-1400 - [c54]Kenneth S. Bøgh, Sean Chester, Darius Sidlauskas, Ira Assent:
Template Skycube Algorithms for Heterogeneous Parallelism on Multicore and GPU Architectures. SIGMOD Conference 2017: 447-462 - 2016
- [j19]Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle:
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. 30(4): 891-927 (2016) - [j18]Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek:
MultiClust 2013: Multiple Clusterings, Multiview Data, and Multisource Knowledgedriven Clustering: [Workshop Report]. SIGKDD Explor. 18(1): 35-38 (2016) - [j17]Kenneth S. Bøgh, Sean Chester, Ira Assent:
SkyAlign: a portable, work-efficient skyline algorithm for multicore and GPU architectures. VLDB J. 25(6): 817-841 (2016) - [c53]Son T. Mai, Ira Assent, Anh Le:
Anytime OPTICS: An Efficient Approach for Hierarchical Density-Based Clustering. DASFAA (1) 2016: 164-179 - [c52]Malene Søholm, Sean Chester, Ira Assent:
Maximum Coverage Representative Skyline. EDBT 2016: 702-703 - [c51]Son T. Mai, Ira Assent, Martin Storgaard:
AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets. KDD 2016: 1025-1034 - 2015
- [j16]Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy:
MultiClust special issue on discovering, summarizing and using multiple clusterings. Mach. Learn. 98(1-2): 1-5 (2015) - [j15]Kenneth S. Bøgh, Sean Chester, Ira Assent:
Work-Efficient Parallel Skyline Computation for the GPU. Proc. VLDB Endow. 8(9): 962-973 (2015) - [c50]Michael L. Mortensen, Sean Chester, Ira Assent, Matteo Magnani:
Efficient caching for constrained skyline queries. EDBT 2015: 337-348 - [c49]Sean Chester, Ira Assent:
Explanations for Skyline Query Results. EDBT 2015: 349-360 - [c48]Sean Chester, Darius Sidlauskas, Ira Assent, Kenneth S. Bøgh:
Scalable parallelization of skyline computation for multi-core processors. ICDE 2015: 1083-1094 - [i4]Barbora Micenková, Brian McWilliams, Ira Assent:
Learning Representations for Outlier Detection on a Budget. CoRR abs/1507.08104 (2015) - 2014
- [j14]Matteo Magnani, Ira Assent, Michael L. Mortensen:
Taking the Big Picture: representative skylines based on significance and diversity. VLDB J. 23(5): 795-815 (2014) - [c47]Kenneth S. Bøgh, Sean Chester, Darius Sidlauskas, Ira Assent:
Hashcube: A Data Structure for Space- and Query-Efficient Skycube Compression. CIKM 2014: 1767-1770 - [c46]Sean Chester, Michael L. Mortensen, Ira Assent:
On the Suitability of Skyline Queries for Data Exploration. EDBT/ICDT Workshops 2014: 161-166 - [c45]Xuan-Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, Erich Schubert:
Discriminative features for identifying and interpreting outliers. ICDE 2014: 88-99 - [p1]Arthur Zimek, Ira Assent, Jilles Vreeken:
Frequent Pattern Mining Algorithms for Data Clustering. Frequent Pattern Mining 2014: 403-423 - 2013
- [c44]Matteo Magnani, Ira Assent, Kasper Hornbæk, Mikkel R. Jakobsen, Ken Friis Larsen:
SkyView: a user evaluation of the skyline operator. CIKM 2013: 2249-2254 - [c43]Kenneth S. Bøgh, Ira Assent, Matteo Magnani:
Efficient GPU-based skyline computation. DaMoN 2013: 5 - [c42]Matteo Magnani, Ira Assent:
From stars to galaxies: skyline queries on aggregate data. EDBT 2013: 477-488 - [c41]Barbora Micenková, Raymond T. Ng, Xuan-Hong Dang, Ira Assent:
Explaining Outliers by Subspace Separability. ICDM 2013: 518-527 - [c40]Xuan-Hong Dang, Barbora Micenková, Ira Assent, Raymond T. Ng:
Local Outlier Detection with Interpretation. ECML/PKDD (3) 2013: 304-320 - [c39]Ira Assent, Xuan-Hong Dang, Barbora Micenková, Raymond T. Ng:
Outlier Detection with Space Transformation and Spectral Analysis. SDM 2013: 225-233 - [e3]Ira Assent, Carlotta Domeniconi, Francesco Gullo, Andrea Tagarelli, Arthur Zimek:
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, in conjunction with KDD 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2334-5 [contents] - 2012
- [j13]Philipp Kranen, Ira Assent, Thomas Seidl:
An Index-Inspired Algorithm for Anytime Classification on Evolving Data Streams. Datenbank-Spektrum 12(1): 43-50 (2012) - [j12]Man Lung Yiu, Ira Assent, Christian S. Jensen, Panos Kalnis:
Outsourced Similarity Search on Metric Data Assets. IEEE Trans. Knowl. Data Eng. 24(2): 338-352 (2012) - [j11]Ira Assent:
Clustering high dimensional data. WIREs Data Mining Knowl. Discov. 2(4): 340-350 (2012) - [c38]Ira Assent:
Efficient Density-Based Subspace Clustering in High Dimensions. CHDD 2012: 34-49 - [c37]Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl:
AnyOut: Anytime Outlier Detection on Streaming Data. DASFAA (1) 2012: 228-242 - [c36]Emmanuel Müller, Ira Assent, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm:
Outlier Ranking via Subspace Analysis in Multiple Views of the Data. ICDM 2012: 529-538 - [c35]Xuan-Hong Dang, Ira Assent, James Bailey:
Multiple Clustering Views via Constrained Projections. MultiClust@SDM 2012: 23-30 - 2011
- [j10]Philipp Kranen, Ira Assent, Corinna Baldauf, Thomas Seidl:
The ClusTree: indexing micro-clusters for anytime stream mining. Knowl. Inf. Syst. 29(2): 249-272 (2011) - [c34]Emmanuel Müller, Ira Assent, Stephan Günnemann, Patrick Gerwert, Matthias Hannen, Timm Jansen, Thomas Seidl:
A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. BTW 2011: 347-366 - [c33]Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl:
Scalable density-based subspace clustering. CIKM 2011: 1077-1086 - [c32]Stephan Günnemann, Ines Färber, Emmanuel Müller, Ira Assent, Thomas Seidl:
External evaluation measures for subspace clustering. CIKM 2011: 1363-1372 - [c31]Hoang Vu Nguyen, Vivekanand Gopalkrishnan, Ira Assent:
An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data. DASFAA (1) 2011: 138-152 - [c30]Carmen Ruiz Vicente, Ira Assent, Christian S. Jensen:
Effective Privacy-Preserving Online Route Planning. Mobile Data Management (1) 2011: 119-128 - [c29]Christian Beecks, Ira Assent, Thomas Seidl:
Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences. MMM (1) 2011: 140-150 - [c28]Hardy Kremer, Stephan Günnemann, Anca Maria Ivanescu, Ira Assent, Thomas Seidl:
Efficient Processing of Multiple DTW Queries in Time Series Databases. SSDBM 2011: 150-167 - [e2]Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl:
Proceedings of the 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, Athens, Greece, September 5, 2011, in conjunction with ECML/PKDD 2011. CEUR Workshop Proceedings 772, CEUR-WS.org 2011 [contents] - 2010
- [j9]Ira Assent:
Effiziente Ähnlichkeitssuche und Data Mining in großen Multimediadatenbanken (Efficient Adaptive Retrieval and Mining in Large Multimedia Databases). it Inf. Technol. 52(1): 45-47 (2010) - [c27]Ira Assent, Hardy Kremer, Thomas Seidl:
Speeding Up Complex Video Copy Detection Queries. DASFAA (1) 2010: 307-321 - [c26]Ira Assent, Hardy Kremer, Stephan Günnemann, Thomas Seidl:
Pattern detector: fast detection of suspicious stream patterns for immediate reaction. EDBT 2010: 709-712 - [c25]Ira Assent:
Mining and representing recommendations in actively evolving recommender systems. ICDE Workshops 2010: 282-285 - [c24]Ira Assent, Philipp Kranen, Corinna Baldauf, Thomas Seidl:
Detecting outliers on arbitrary data streams using anytime approaches. StreamKDD@KDD 2010: 10-15
2000 – 2009
- 2009
- [j8]Ira Assent, Marc Wichterich, Ralph Krieger, Hardy Kremer, Thomas Seidl:
Anticipatory DTW for Efficient Similarity Search in Time Series Databases. Proc. VLDB Endow. 2(1): 826-837 (2009) - [j7]Emmanuel Müller, Stephan Günnemann, Ira Assent, Thomas Seidl:
Evaluating Clustering in Subspace Projections of High Dimensional Data. Proc. VLDB Endow. 2(1): 1270-1281 (2009) - [c23]Ira Assent, Stephan Günnemann, Hardy Kremer, Thomas Seidl:
High-Dimensional Indexing for Multimedia Features. BTW 2009: 187-206 - [c22]Ira Assent:
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases. BTW 2009: 428-437 - [c21]Thomas Seidl, Ira Assent, Philipp Kranen, Ralph Krieger, Jennifer Herrmann:
Indexing density models for incremental learning and anytime classification on data streams. EDBT 2009: 311-322 - [c20]Ira Assent:
Actively Building Private Recommender Networks for Evolving Reliable Relationships. ICDE 2009: 1611-1614 - [c19]