A. Ravishankar Rao

Orcid: 0000-0002-7483-0678

According to our database1, A. Ravishankar Rao authored at least 65 papers between 1988 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Exploiting the Brain's Network Structure for Automatic Identification of ADHD Subjects.
CoRR, 2023

2022
Machine Learning Models To Predict Length Of Stay In Hospitals.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021
PIKS: A Technique to Identify Actionable Trends for Policy-Makers Through Open Healthcare Data.
SN Comput. Sci., 2021

2020
Perspectives on emerging directions in using IoT devices in blockchain applications.
Internet Things, 2020

Building predictive models of healthcare costs with open healthcare data.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019
Capacity Building for a Cybersecurity Workforce Through Hands-on Labs for Internet-of-Things Security.
Proceedings of the National Cyber Summit, 2019

A computational model of multi-sensory perception and its application to investigating the controversy around learning styles.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Building an Open Health Data Analytics Platform: a Case Study Examining Relationships and Trends in Seniority and Performance in Healthcare Providers.
J. Heal. Informatics Res., 2018

A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A comparison of models to predict medical procedure costs from open public healthcare data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Hiding in plain sight: insights about health-care trends gained through open health data.
CoRR, 2017

An open-source framework for the interactive exploration of Big Data: Applications in understanding health care.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

The modulation of synchronization by tuning functions and its effect on multi-sensory perception.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A spatio-temporal model of multi-sensory learning that demonstrates improved object recall.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A fully integrated open-source toolkit for mining healthcare big-data: architecture and applications.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2015
A framework for analyzing publicly available healthcare data.
Proceedings of the 17th International Conference on E-health Networking, 2015

2013
Capacity limits in oscillatory networks: Implications for sensory coding.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multi-sensory integration using sparse spatio-temporal encoding.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The measurement and analysis of cortical networks.
Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

2012
ADHD classification using bag of words approach on network features.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

A computational model of early visual cortex using konio-cellular pathway projections.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Full-brain auto-regressive modeling (FARM) using fMRI.
NeuroImage, 2011

Fast computation of functional networks from fMRI activity: a multi-platform comparison.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

A spatio-temporal support vector machine searchlight for fMRI analysis.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
An objective function utilizing complex sparsity for efficient segmentation in multi-layer oscillatory networks.
Int. J. Intell. Comput. Cybern., 2010

Investigating the variation of orientation tuning in a computational model of the visual cortex.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Prediction and interpretation of distributed neural activity with sparse models.
NeuroImage, 2009

A Cluster Overlap Measure for Comparison of Activations in fMRI Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

An optimization approach to understanding structure-function relationships in the visual cortex.
Proceedings of the International Joint Conference on Neural Networks, 2009

Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations.
Proceedings of the Artificial Neural Networks, 2009

2008
Unsupervised Segmentation With Dynamical Units.
IEEE Trans. Neural Networks, 2008

Inferring brain dynamics using granger causality on fMRI data.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Efficient segmentation in multi-layer oscillatory networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network.
Proceedings of the Artificial Neural Networks, 2008

Statistics of natural scenes and the cortical representation of color.
Proceedings of the Human Vision and Electronic Imaging XIII, 2008

2007
Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network.
Proceedings of the Advances in Neural Networks, 2007

Topographic Infomax in a Neural Multigrid.
Proceedings of the Advances in Neural Networks, 2007

2006
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network.
Proceedings of the International Joint Conference on Neural Networks, 2006

Inference and segmentation in cortical processing.
Proceedings of the Human Vision and Electronic Imaging XI, 2006

2005
Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

A model of the formation of a self-organized cortical representation of color.
Proceedings of the Human Vision and Electronic Imaging X, 2005

2003
Simulation Infrastructure for Modeling Large Scale Neural Systems.
Proceedings of the Computational Science - ICCS 2003, 2003

2002
Color document analysis.
Proceedings of the Color Imaging: Device-Independent Color, 2002

2001
Color halftone document segmentation and descreening.
Proceedings of the 2001 International Conference on Image Processing, 2001

Wavelet based halftone segmentation and descreening filter design.
Proceedings of the IEEE International Conference on Acoustics, 2001

Color halftone descreening based on color sigma filters.
Proceedings of the Color Imaging: Device-Independent Color, 2001

1999
Segmentation and automatic descreening of scanned documents.
Proceedings of the Color Imaging: Device-Independent Color, 1999

1998
Color Calibration of a Calorimetric Scanner Using Non-Linear Least Squares.
Proceedings of the PICS 1998: IS&T's 1998 Image Processing, 1998

1997
Automatic defect classification for semiconductor manufacturing.
Mach. Vis. Appl., 1997

The Texture Lexicon: Understanding the Categorization of Visual Texture Terms and Their Relationship to Texture Images.
Cogn. Sci., 1997

Digital watermarking for high-quality imaging.
Proceedings of the First IEEE Workshop on Multimedia Signal Processing, 1997

1996
Future directions in industrial machine vision: a case study of semiconductor manufacturing applications.
Image Vis. Comput., 1996

Relationship Between Texture Terms and Texture Images: a Study in Human Texture Perception.
Proceedings of the Storage and Retrieval for Still Image and Video Databases IV, 1996

1993
Identifying High Level Features of Texture Perception.
CVGIP Graph. Model. Image Process., 1993

Towards a Texture Naming System: Identifying Relevant Dimensions in Texture.
Proceedings of the 4th IEEE Visualization Conference, 1993

1992
Computerized Flow Field Analysis: Oriented Texture Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

Algorithms for a fast confocal optical inspection system.
Proceedings of First IEEE Workshop on Applications of Computer Vision, 1992

1991
Computing oriented texture fields.
CVGIP Graph. Model. Image Process., 1991

1990
Scanning electron microscope-based stereo analysis.
Mach. Vis. Appl., 1990

Analyzing oriented textures through phase portraits.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

1989
A taxonomy for texture description and identification.
PhD thesis, 1989

Scanning electron microscope based stereo analysis [for semiconductor IC inspection].
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989

1988
Knowledge Representation and Control in Computer Vision Systems.
IEEE Expert, 1988


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