Dmitriy Fradkin

发表

Classifying Spend Descriptions with Off-the-Shelf Learning Components

Saikat Mukherjee, Dmitriy Fradkin, Michael Roth, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Selected Data Mining Concepts

Graham Cormode, Dmitriy Fradkin, James Abello, 2004, Discrete Methods in Epidemiology.

Clustering Inside Classes Improves Performance of Linear Classifiers

Dmitriy Fradkin, Dmitriy Fradkin, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Log-based predictive maintenance

Zhuang Wang, Dmitriy Fradkin, Fabian Mörchen, 2014, KDD.

Mining Compressing Sequential Patterns

Toon Calders, Dmitriy Fradkin, Fabian Mörchen, 2014, Stat. Anal. Data Min..

Mining Compressing Sequential Patterns

Toon Calders, Dmitriy Fradkin, Fabian Mörchen, 2012, Stat. Anal. Data Min..

Multimodal Knowledge Graph for Deep Learning Papers and Code

Tugba Kulahcioglu, Dmitriy Fradkin, Mohammad Abdullah Al Faruque, 2020, CIKM.

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

Paul B. Kantor, Dmitriy Fradkin, P. Kantor, 2004, CIKM '04.

Distinguishing mislabeled data from correctly labeled data in classifier design

Dimitris N. Metaxas, Casimir A. Kulikowski, Dmitriy Fradkin, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

Validation of Epidemiological Models: Chicken Epidemiology in the UK

Dmitriy Fradkin, Ilya B. Muchnik, Patrick Hermans, 2004, Discrete Methods in Epidemiology.

Clusters with core-tail hierarchical structure and their applications to machine learning classification

Dmitriy Fradkin, I. B. Muchnik, 2003, IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502).

Anticipating annotations and emerging trends in biomedical literature

Dmitriy Fradkin, Fabian Mörchen, Markus Bundschus, 2008, KDD.

Methods for learning classifier combinations: no clear winner

Paul B. Kantor, Dmitriy Fradkin, 2005, SAC '05.

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

Milos Hauskrecht, Dmitriy Fradkin, Fabian Mörchen, 2012, KDD.

Prospective Data Fusion for Batch Filtering

Dmitriy Fradkin, David D. Lewis, Vladimir Menkov, 2003 .

Under Consideration for Publication in Knowledge and Information Systems Mining Sequential Patterns for Classification

Dmitriy Fradkin, Fabian Mörchen, F. Mörchen, 2022 .

Experiments with random projections for machine learning

Dmitriy Fradkin, David Madigan, D. Madigan, 2003, KDD '03.

Hierarchical document clustering using local patterns

John R. Kender, Dmitriy Fradkin, Fabian Mörchen, 2010, Data Mining and Knowledge Discovery.

Simulated Entity Resolution by Diverse Means: DIMACS Work on the KDD Challenge of 2005

Paul B. Kantor, Dmitriy Fradkin, Aynur A. Dayanik, 2005 .

Emerging Trend Prediction in Biomedical Literature

Dmitriy Fradkin, Fabian Mörchen, Mathäus Dejori, 2008, AMIA.

Image compression in real-time multiprocessor systems using divisive K-means clustering

Dmitriy Fradkin, S. Streltsov, I. Muchnik, 2003, IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502).

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

Tugba Kulahcioglu, Dmitriy Fradkin, Sridharan Palanivelu, 2017, CHIIR.

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

Tugba Kulahcioglu, Dmitriy Fradkin, Ioannis Akrotirianakis, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Author Identification on the Large Scale

Shlomo Argamon, Dmitriy Fradkin, David Madigan, 2005 .

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

Milos Hauskrecht, Dmitriy Fradkin, Gregory F. Cooper, 2015, Knowledge and Information Systems.

Margin-closed frequent sequential pattern mining

Dmitriy Fradkin, Fabian Moerchen, 2010, UP '10.

Bayesian Multinomial Logistic Regression for Author Identification

Dmitriy Fradkin, David Madigan, David Lewis, 2005, AIP Conference Proceedings.

DIMACS at the TREC 2004 Genomics Track

Paul B. Kantor, Dmitriy Fradkin, David Madigan, 2004, TREC.

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

Tugba Kulahcioglu, Dmitriy Fradkin, Alexander Belkov, 2020, VOILA@ISWC.

DIMACS AT THE TREC 2004 GENOMICS TRACK (DRAFT)

Dmitriy Fradkin, David Madigan, David D. Lewis, 2004 .

Deep Reinforcement Learning for DER Cyber-Attack Mitigation

Dmitriy Fradkin, Daniel Arnold, Anna Scaglione, 2020, 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

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

Dmitriy Fradkin, Fabian Mörchen, F. Mörchen, 2010, SDM.

Zips: mining compressing sequential patterns in streams

Toon Calders, Jie Yang, Dmitriy Fradkin, 2013, IDEA@KDD.

Single pass text classification by direct feature weighting

Dmitriy Fradkin, Fabian Mörchen, Hassan H. Malik, 2011, Knowledge and Information Systems.

Unsupervised Power System Event Detection and Classification Using Unlabeled PMU Data

Dmitriy Fradkin, You Lin, Tu Lan, 2021, 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).