Nikhil S. Ketkar

发表

Qualitative comparison of graph-based and logic-based multi-relational data mining: a case study

Lawrence B. Holder, Diane J. Cook, Nikhil S. Ketkar, 2005, MRDM '05.

Unsupervised and Supervised Pattern Learning in Graph Data

Lawrence B. Holder, Diane J. Cook, Nikhil S. Ketkar, 2006 .

Reactive Teaming for Intelligent Game Characters

G. Michael Youngblood, Nikhil S. Ketkar, Frederick W. P. Heckel, 2010, FLAIRS Conference.

The Analysis of Image Segmentation Hierarchies with a Graph-based Knowledge Discovery System

Selim Aksoy, Nikhil S. Ketkar, James C. Tilton, 2008 .

Empirical comparison of graph classification and regression algorithms

Lawrence B. Holder, Nikhil S. Ketkar, L. Holder, 2009 .

The Integraton of Graph-Based Knowledge Discovery with Image Segmentation Hierarchies for Data Analysis, Data Mining and Knowledge Discovery

Diane J. Cook, Nikhil S. Ketkar, James C. Tilton, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Subdue: compression-based frequent pattern discovery in graph data

Lawrence B. Holder, Diane J. Cook, Nikhil S. Ketkar, 2005 .

Faster computation of the direct product kernel for graph classification

Lawrence B. Holder, Diane J. Cook, Nikhil S. Ketkar, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

gRegress: Extracting Features from Graph Transactions for Regression

Lawrence B. Holder, Diane J. Cook, Nikhil S. Ketkar, 2009, IJCAI.

Using Intelligent Agents to Build Navigation Meshes

D. Hunter Hale, G. Michael Youngblood, Nikhil S. Ketkar, 2010, FLAIRS Conference.

Representational complexity of reactive agents

G. Michael Youngblood, Nikhil S. Ketkar, Frederick W. P. Heckel, 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.

Empirical comparison of graph classification algorithms

Lawrence B. Holder, Diane J. Cook, Nikhil S. Ketkar, 2009, 2009 IEEE Symposium on Computational Intelligence and Data Mining.

A Largest Common Subsequence-based Distance Measure for Classifying Player Motion Traces in Virtual Worlds

G. Michael Youngblood, Nikhil S. Ketkar, 2010, FLAIRS Conference.

Comparison of graph-based and logic-based multi-relational data mining

Lawrence B. Holder, Diane J. Cook, Nikhil S. Ketkar, 2005, SKDD.

Stochastic Gradient Descent

Nikhil S. Ketkar, 2017 .

Introduction to PyTorch

Nikhil Ketkar, Nikhil S. Ketkar, 2021, Deep Learning with Python.

Mining in the Proximity of Subgraphs

Nikhil S. Ketkar, D. Cook, L. Holder, 2006 .

Deep Learning with Python

Nikhil Ketkar, Nikhil S. Ketkar, François Chollet, 2017 .

Rapid Development of Intelligent Agents in First / third-person Training Simulations via Behavior-based Control

Nikhil S. Ketkar, Frederick W. P. Heckel, G. Youngblood, 2010 .

Convolutional Neural Networks

Nikhil Ketkar, Nikhil S. Ketkar, 2021, Deep Learning with Python.

Introduction to Keras

Nikhil Ketkar, Nikhil S. Ketkar, 2017 .

Machine Learning Fundamentals

Nikhil Ketkar, Nikhil S. Ketkar, 2017 .

Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch

Nikhil S. Ketkar, J. Moolayil, 2021 .

High confidence predictions of drug-drug interactions: predicting affinities for cytochrome P450 2C9 with multiple computational methods.

Nikhil S. Ketkar, Jeffrey P. Jones, Jeffrey P Jones, 2008, Journal of medicinal chemistry.

Introduction to Machine Learning and Deep Learning

Nikhil Ketkar, Nikhil S. Ketkar, Jojo Moolayil, 2021 .