Dmitry Pavlov

According to our database1, Dmitry Pavlov authored at least 33 papers between 1999 and 2024.

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Bibliography

2024
Velocity of viscous fingers in miscible displacement: Intermediate concentration.
J. Comput. Appl. Math., 2024

2023
Relation between size of mixing zone and intermediate concentration in miscible displacement.
CoRR, 2023

2020
On the Extension of Adams-Bashforth-Moulton Methods for Numerical Integration of Delay Differential Equations and Application to the Moon's Orbit.
Math. Comput. Sci., 2020

Case Study of Using Virtual and Augmented Reality in Industrial System Monitoring.
Proceedings of the 26th Conference of Open Innovations Association, 2020

2019
Landau: language for dynamical systems with automatic differentiation.
CoRR, 2019

2018
Ontology visualization methods and tools: a survey of the state of the art.
Knowl. Eng. Rev., 2018

2015
Power particles: an incompressible fluid solver based on power diagrams.
ACM Trans. Graph., 2015

2013
Probabilistic Models for Query Approximation with Large Sparse Binary Datasets
CoRR, 2013

2011
Winning The Transfer Learning Track of Yahoo!'s Learning To Rank Challenge with YetiRank.
Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Indigo: universal cheminformatics API.
J. Cheminformatics, 2011

Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on.
J. Cheminformatics, 2011

Discrete Lie Advection of Differential Forms.
Found. Comput. Math., 2011

2010
Behavioral Targeting: The Art of Scaling Up Simple Algorithms.
ACM Trans. Knowl. Discov. Data, 2010

Bingo from SciTouch LLC: chemistry cartridge for Oracle database.
J. Cheminformatics, 2010

2009
Energy-preserving integrators for fluid animation.
ACM Trans. Graph., 2009

Factor Modeling for Advertisement Targeting.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Large-scale behavioral targeting.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Practical lessons of data mining at Yahoo!
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007
Internet-scale collection of human-reviewed data.
Proceedings of the 16th International Conference on World Wide Web, 2007

2006
Manipulator Path Planning in 3-Dimensional Space.
Proceedings of the Computer Science, 2006

2004
Collaborative Filtering with Maximum Entropy.
IEEE Intell. Syst., 2004

Document preprocessing for naive Bayes classification and clustering with mixture of multinomials.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data.
IEEE Trans. Knowl. Data Eng., 2003

Approximate Query Answering by Model Averaging.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Mixtures of Conditional Maximum Entropy Models.
Proceedings of the Machine Learning, 2003

Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Probabilistic User Behavior Models.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Probabilistic query models for transaction data.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000
Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Towards scalable support vector machines using squashing.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Scaling-Up Support Vector Machines Using Boosting Algorithm.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Prediction with Local Patterns using Cross-Entropy.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999


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