Devasis Bassu

Publication Activity (10 Years)

Years Active: 1999-2020
Publications (10 Years): 3

Top Topics

Disaster Management

Singular Value Decomposition

Feature Construction

Satellite Imagery

Top Venues

IBM J. Res. Dev.

Publications

Siddhartha Dala, Devasis Bassu
Deep analytics for workplace risk and disaster management. IBM J. Res. Dev. 64 (1/2) (2020)
Brian Thompson, Linda Ness, David Shallcross, Devasis Bassu
Discovering Functional Communities in Social Media. ICDM Workshops (2015)
Rauf Izmailov, Devasis Bassu, Allen McIntosh, Linda Ness, David Shallcross
Application of multi-scale singular vector decomposition to vessel classification in overhead satellite imagery. ICDIP (2015)
Devasis Bassu, Rauf Izmailov, Allen McIntosh, Linda Ness, David Shallcross
Centralized multi-scale singular value decomposition for feature construction in LIDAR image classification problems. AIPR (2012)
Clifford Behrens, Devasis Bassu, Hyong Sop Shim
Collaborative Panel Administrator: A framework and implementation for expert panel lifecycle management. CollaborateCom (2007)
Rabih Zbib, Ashish Jain, Devasis Bassu, Hiralal Agrawal
Generating Domain Specific Graphical Modeling Editors from Meta Models. COMPSAC (1) (2006)
Clifford Behrens, Devasis Bassu, Hyong Sop Shim
Mapping Domain Expertise within Teams: Visual Stimulation of Knowledge-Building through Collaboration. IV (2005)
Devasis Bassu, Ashish Jain
Business Rules Languages and Model-Interoperability. Rule Languages for Interoperability (2005)
Hyong Sop Shim, Clifford Behrens, Devasis Bassu
Middleware Platform for Recruiting and Proactively Managing Virtual Panels of Intelligence Experts. AAAI Spring Symposium: AI Technologies for Homeland Security (2005)
James T. Lo, Devasis Bassu
Adaptive multilayer perceptrons with long- and short-term memories. IEEE Trans. Neural Networks 13 (1) (2002)
Chung-Min Chen, Ned Stofel, Mike Post, Chumki Basu, Devasis Bassu, Clifford Behrens
Telcordia LSI Engine: Implementation Scalability and Issues. RIDE-DM (2001)
Devasis Bassu, James T. Lo, Justin Nave
Training recurrent neural networks with noisy input measurements. IJCNN (1999)
James T. Lo, Devasis Bassu
Mathematical justification of recurrent neural networks with long and short-term memories. IJCNN (1999)
James T. Lo, Devasis Bassu
Adaptive multilayer perceptrons. IJCNN (1999)