Dmitriy Fradkin

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 9

Top Topics

Mining Sequential Patterns

Multivariate Time Series

Sequential Patterns

Top Venues

Knowl. Inf. Syst.

Publications

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)
Bruno P. Leao, Dmitriy Fradkin, Yubo Wang, Sindhu Suresh
Big Data Processing for Power Grid Event Detection. IEEE BigData (2020)
Tugba Kulahcioglu, Dmitriy Fradkin, Ayse Parlak, Alexander Belkov
LogVis: Graph-Assisted Visual Analysis of Event Logs from Industrial Equipment. VOILA@ISWC (2020)
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)
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)
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)
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 (2020)
Tugba Kulahcioglu, Dmitriy Fradkin, Sridharan Palanivelu
Incorporating Task Analysis in the Design of a Tool for a Complex and Exploratory Search Task. CHIIR (2017)
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) (2016)
Dmitriy Fradkin, Fabian Mörchen
Mining sequential patterns for classification. Knowl. Inf. Syst. 45 (3) (2015)
Ruben Sipos, Dmitriy Fradkin, Fabian Mörchen, Zhuang Wang
Log-based predictive maintenance. KDD (2014)
Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7 (1) (2014)
Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin
Zips: mining compressing sequential patterns in streams. IDEA@KDD (2013)
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)
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders
Mining Compressing Sequential Patterns. SDM (2012)
Hassan H. Malik, Dmitriy Fradkin, Fabian Mörchen
Single pass text classification by direct feature weighting. Knowl. Inf. Syst. 28 (1) (2011)
Fabian Mörchen, Dmitriy Fradkin
Robust Mining of Time Intervals with Semi-interval Partial Order Patterns. SDM (2010)
Hassan H. Malik, John R. Kender, Dmitriy Fradkin, Fabian Mörchen
Hierarchical document clustering using local patterns. Data Min. Knowl. Discov. 21 (1) (2010)
Saikat Mukherjee, Dmitriy Fradkin, Michael Roth
Classifying Spend Descriptions with Off-the-Shelf Learning Components. ICTAI (1) (2008)
Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus
Anticipating annotations and emerging trends in biomedical literature. KDD (2008)
Dmitriy Fradkin
Clustering Inside Classes Improves Performance of Linear Classifiers. ICTAI (2) (2008)
Fabian Mörchen, Dmitriy Fradkin, Mathäus Dejori, Bernd Wachmann
Emerging Trend Prediction in Biomedical Literature. AMIA (2008)
Dmitriy Fradkin, Paul B. Kantor
Methods for learning classifier combinations: no clear winner. SAC (2005)
Dmitriy Fradkin, Ilya B. Muchnik, Patrick Hermans, Kenton Morgan
Validation of Epidemiological Models: Chicken Epidemiology in the UK. Discrete Methods in Epidemiology (2004)
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)
Dmitriy Fradkin, Paul B. Kantor
A design space approach to analysis of information retrieval adaptive filtering systems. CIKM (2004)
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)
James Abello, Graham Cormode, Dmitriy Fradkin, David Madigan, Ofer Melnik, Ilya B. Muchnik
Selected Data Mining Concepts. Discrete Methods in Epidemiology (2004)
Dmitriy Fradkin, David Madigan
Experiments with random projections for machine learning. KDD (2003)