Data mining on the grid for the grid. - Nitesh V. Chawla; Douglas Thain; Ryan Lichtenwalter; David A. Cieslak (IPDPS, 2008)

Applying Learning Algorithms to Music Generation. - Ryan Lichtenwalter; Katerina Lichtenwalter; Nitesh V. Chawla (IICAI, 2009)

Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams. - Ryan Lichtenwalter; Nitesh V. Chawla (PAKDD Workshops, 2009)

New perspectives and methods in link prediction. - Ryan Lichtenwalter; Jake T. Lussier; Nitesh V. Chawla (KDD, 2010)

A Machine-Learning Approach to Autonomous Music Composition. - Ryan Lichtenwalter; Katerina Lichtenwalter; Nitesh V. Chawla (J. Intell. Syst., 2010)

Multi-relational Link Prediction in Heterogeneous Information Networks. - Darcy A. Davis; Ryan Lichtenwalter; Nitesh V. Chawla (ASONAM, 2011)

DisNet: A Framework for Distributed Graph Computation. - Ryan Lichtenwalter; Nitesh V. Chawla (ASONAM, 2011)

Range-limited Centrality Measures in Complex Networks - Mária Ercsey-Ravasz; Ryan Lichtenwalter; Nitesh V. Chawla; Zoltán Toroczkai (CoRR, 2011)

LPmade: Link Prediction Made Easy. - Ryan Lichtenwalter; Nitesh V. Chawla (J. Mach. Learn. Res., 2011)

Link Prediction: Fair and Effective Evaluation. - Ryan Lichtenwalter; Nitesh V. Chawla (ASONAM, 2012)

Vertex collocation profiles: subgraph counting for link analysis and prediction. - Ryan Lichtenwalter; Nitesh V. Chawla (WWW, 2012)

Supervised methods for multi-relational link prediction. - Darcy A. Davis; Ryan Lichtenwalter; Nitesh V. Chawla (Soc. Netw. Anal. Min., 2013)

Evaluating link prediction methods. - Yang Yang 008; Ryan N. Lichtenwalter; Nitesh V. Chawla (Knowl. Inf. Syst., 2015)

Influence Activation Model: A New Perspective in Social Influence Analysis and Social Network Evolution. - Yang Yang 008; Nitesh V. Chawla; Ryan N. Lichtenwalter; Yuxiao Dong (CoRR, 2016)

Genotypic Data in Relational Databases: Efficient Storage and Rapid Retrieval. - Ryan N. Lichtenwalter; Katerina Zorina-Lichtenwalter; Luda Diatchenko (ADBIS, 2017)