Dmitriy Fradkin

According to our database, Dmitriy Fradkin authored at least 27 papers between 2003 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Unsupervised Power System Event Detection and Classification Using Unlabeled PMU Data.

Tu Lan, You Lin, Jianhui Wang, Bruno P. Leao, Dmitriy Fradkin

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

2020

Deep Reinforcement Learning for DER Cyber-Attack Mitigation.

Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin

Proceedings of the 2020 IEEE International Conference on Communications, 2020

LogVis: Graph-Assisted Visual Analysis of Event Logs from Industrial Equipment.

Tugba Kulahcioglu, Dmitriy Fradkin, Ayse Parlak, Alexander Belkov

Proceedings of the Fifth International Workshop on Visualization and Interaction for Ontologies and Linked Data co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

Diag2graph: Representing Deep Learning Diagrams In Research Papers As Knowledge Graphs.

Aditi Roy, Ioannis Akrotirianakis, Amar Viswanathan Kannan, Dmitriy Fradkin, Arquimedes Canedo, Kaushik Koneripalli, Tugba Kulahcioglu

Proceedings of the IEEE International Conference on Image Processing, 2020

Multimodal Knowledge Graph for Deep Learning Papers and Code.

Amar Viswanathan Kannan, Dmitriy Fradkin, Ioannis Akrotirianakis, Tugba Kulahcioglu, Arquimedes Canedo, Aditi Roy, Shih-Yuan Yu, Arnav V. Malawade, Mohammad Abdullah Al Faruque

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Big Data Processing for Power Grid Event Detection.

Bruno P. Leao, Dmitriy Fradkin, Yubo Wang, Sindhu Suresh

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2017

Incorporating Task Analysis in the Design of a Tool for a Complex and Exploratory Search Task.

Tugba Kulahcioglu, Dmitriy Fradkin, Sridharan Palanivelu

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 2017

2016

An efficient pattern mining approach for event detection in multivariate temporal data.

Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht

Knowl. Inf. Syst., 2016

2015

Mining sequential patterns for classification.

Dmitriy Fradkin, Fabian Mörchen

Knowl. Inf. Syst., 2015

2014

Mining Compressing Sequential Patterns.

Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders

Stat. Anal. Data Min., 2014

Log-based predictive maintenance.

Ruben Sipos, Dmitriy Fradkin, Fabian Mörchen, Zhuang Wang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Zips: mining compressing sequential patterns in streams.

Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

2012

Mining recent temporal patterns for event detection in multivariate time series data.

Iyad Batal, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Single pass text classification by direct feature weighting.

Hassan H. Malik, Dmitriy Fradkin, Fabian Mörchen

Knowl. Inf. Syst., 2011

2010

Hierarchical document clustering using local patterns.

Hassan H. Malik, John R. Kender, Dmitriy Fradkin, Fabian Mörchen

Data Min. Knowl. Discov., 2010

Robust Mining of Time Intervals with Semi-interval Partial Order Patterns.

Fabian Mörchen, Dmitriy Fradkin

Proceedings of the SIAM International Conference on Data Mining, 2010

2008

Anticipating annotations and emerging trends in biomedical literature.

Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Classifying Spend Descriptions with Off-the-Shelf Learning Components.

Saikat Mukherjee, Dmitriy Fradkin, Michael Roth

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Clustering Inside Classes Improves Performance of Linear Classifiers.

Dmitriy Fradkin

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Emerging Trend Prediction in Biomedical Literature.

Fabian Mörchen, Dmitriy Fradkin, Mathäus Dejori, Bernd Wachmann

Proceedings of the AMIA 2008, 2008

2005

Methods for learning classifier combinations: no clear winner.

Dmitriy Fradkin, Paul B. Kantor

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004

DIMACS at the TREC 2004 Genomics Track.

Aynur A. Dayanik, Dmitriy Fradkin, Alexander Genkin, Paul B. Kantor, David Madigan, David D. Lewis, Vladimir Menkov

Proceedings of the Thirteenth Text REtrieval Conference, 2004

Distinguishing Mislabeled Data from Correctly Labeled Data in Classifier Design.

Sundara Venkataraman, Dimitris N. Metaxas, Dmitriy Fradkin, Casimir A. Kulikowski, Ilya B. Muchnik

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Validation of Epidemiological Models: Chicken Epidemiology in the UK.

Dmitriy Fradkin, Ilya B. Muchnik, Patrick Hermans, Kenton Morgan

Proceedings of the Discrete Methods in Epidemiology, 2004

Selected Data Mining Concepts.

James Abello, Graham Cormode, Dmitriy Fradkin, David Madigan, Ofer Melnik, Ilya B. Muchnik

Proceedings of the Discrete Methods in Epidemiology, 2004

A design space approach to analysis of information retrieval adaptive filtering systems.

Dmitriy Fradkin, Paul B. Kantor

Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003

Experiments with random projections for machine learning.

Dmitriy Fradkin, David Madigan

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003