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ORCIDDmitriy Fradkin
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2020 – today
- 2021
[c23]Tu Lan
, You Lin, Jianhui Wang, Bruno P. Leao, Dmitriy Fradkin:
Unsupervised Power System Event Detection and Classification Using Unlabeled PMU Data. ISGT-Europe 2021: 1-5- 2020
- [c22]Bruno P. Leao, Dmitriy Fradkin, Yubo Wang, Sindhu Suresh:
Big Data Processing for Power Grid Event Detection. IEEE BigData 2020: 4128-4136 - [c21]Amar Viswanathan Kannan, Dmitriy Fradkin, Ioannis Akrotirianakis, Tugba Kulahcioglu, Arquimedes Canedo, Aditi Roy, Shih-Yuan Yu, Arnav V. Malawade, Mohammad Abdullah Al Faruque:
Multimodal Knowledge Graph for Deep Learning Papers and Code. CIKM 2020: 3417-3420 - [c20]Aditi Roy, Ioannis Akrotirianakis, Amar Viswanathan Kannan, Dmitriy Fradkin, Arquimedes Canedo, Kaushik Koneripalli, Tugba Kulahcioglu:
Diag2graph: Representing Deep Learning Diagrams In Research Papers As Knowledge Graphs. ICIP 2020: 2581-2585 - [c19]Tugba Kulahcioglu, Dmitriy Fradkin, Ayse Parlak, Alexander Belkov:
LogVis: Graph-Assisted Visual Analysis of Event Logs from Industrial Equipment. VOILA@ISWC 2020: 61-72 - [c18]Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin:
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. SmartGridComm 2020: 1-7 - [i1]Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin:
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. CoRR abs/2009.13088 (2020)
2010 – 2019
- 2017
- [c17]Tugba Kulahcioglu, Dmitriy Fradkin, Sridharan Palanivelu:
Incorporating Task Analysis in the Design of a Tool for a Complex and Exploratory Search Task. CHIIR 2017: 373-376 - 2016
- [j5]Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht:
An efficient pattern mining approach for event detection in multivariate temporal data. Knowl. Inf. Syst. 46(1): 115-150 (2016) - 2015
- [j4]Dmitriy Fradkin, Fabian Mörchen:
Mining sequential patterns for classification. Knowl. Inf. Syst. 45(3): 731-749 (2015) - 2014
- [j3]Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7(1): 34-52 (2014) - [c16]Ruben Sipos, Dmitriy Fradkin, Fabian Mörchen, Zhuang Wang:
Log-based predictive maintenance. KDD 2014: 1867-1876 - 2013
- [c15]Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin:
Zips: mining compressing sequential patterns in streams. IDEA@KDD 2013: 54-62 - 2012
- [c14]Iyad Batal, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht:
Mining recent temporal patterns for event detection in multivariate time series data. KDD 2012: 280-288 - [c13]Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. SDM 2012: 319-330 - 2011
- [j2]Hassan H. Malik, Dmitriy Fradkin, Fabian Mörchen:
Single pass text classification by direct feature weighting. Knowl. Inf. Syst. 28(1): 79-98 (2011) - 2010
- [j1]Hassan H. Malik, John R. Kender, Dmitriy Fradkin, Fabian Mörchen:
Hierarchical document clustering using local patterns. Data Min. Knowl. Discov. 21(1): 153-185 (2010) - [c12]Fabian Mörchen, Dmitriy Fradkin:
Robust Mining of Time Intervals with Semi-interval Partial Order Patterns. SDM 2010: 315-326
2000 – 2009
- 2008
- [c11]Fabian Mörchen, Dmitriy Fradkin, Mathäus Dejori, Bernd Wachmann:
Emerging Trend Prediction in Biomedical Literature. AMIA 2008 - [c10]Saikat Mukherjee, Dmitriy Fradkin, Michael Roth:
Classifying Spend Descriptions with Off-the-Shelf Learning Components. ICTAI (1) 2008: 53-60 - [c9]Dmitriy Fradkin:
Clustering Inside Classes Improves Performance of Linear Classifiers. ICTAI (2) 2008: 439-442 - [c8]Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus:
Anticipating annotations and emerging trends in biomedical literature. KDD 2008: 954-962 - 2005
- [c7]Dmitriy Fradkin, Paul B. Kantor:
Methods for learning classifier combinations: no clear winner. SAC 2005: 1038-1043 - 2004
- [c6]Dmitriy Fradkin, Paul B. Kantor:
A design space approach to analysis of information retrieval adaptive filtering systems. CIKM 2004: 251-260 - [c5]James Abello, Graham Cormode, Dmitriy Fradkin, David Madigan, Ofer Melnik, Ilya B. Muchnik:
Selected Data Mining Concepts. Discrete Methods in Epidemiology 2004: 1-40 - [c4]Dmitriy Fradkin, Ilya B. Muchnik, Patrick Hermans, Kenton Morgan:
Validation of Epidemiological Models: Chicken Epidemiology in the UK. Discrete Methods in Epidemiology 2004: 243-255 - [c3]Sundara Venkataraman, Dimitris N. Metaxas, Dmitriy Fradkin, Casimir A. Kulikowski, Ilya B. Muchnik:
Distinguishing Mislabeled Data from Correctly Labeled Data in Classifier Design. ICTAI 2004: 668-672 - [c2]Aynur A. Dayanik, Dmitriy Fradkin, Alexander Genkin, Paul B. Kantor, David Madigan, David D. Lewis, Vladimir Menkov:
DIMACS at the TREC 2004 Genomics Track. TREC 2004 - 2003
- [c1]Dmitriy Fradkin, David Madigan:
Experiments with random projections for machine learning. KDD 2003: 517-522
Coauthor Index
aka: Fabian Moerchen
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