A. Panangadan

发表

Identifying human interactions in indoor environments

Gaurav S. Sukhatme, Maja J. Mataric, Anand Panangadan, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Modeling Human Interactions in Indoor Environments

M. Matari, G. Sukhatme, A. Panangadan, 2004 .

Learning Construction in a Simulated Environment Using Temporal Goal Sequencing and Reinforcement

M. Dyer, A. Panangadan, 2009 .

Logistic LASSO Regression for Dietary Intakes and Breast Cancer

A. Panangadan, Valerie Poynor, A. McEligot, 2020, Nutrients.

Learning to Integrate Reactive and Planning Behaviorsfor

M. Dyer, A. Panangadan, C. Chao, 2007 .

Few-shot Time-Series Forecasting with Application for Vehicular Traffic Flow

A. Panangadan, Victor Tran, 2022, 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI).

MARKOV DECISION PROCESS FOR ADAPTIVE CONTROL OF DISTRIBUTED BODY SENSOR NETWORKS

Cauligi S. Raghavendra, Ashit Talukder, Shuping Liu, 2016 .

Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments

Viktor K. Prasanna, Anand V. Panangadan, Greg Harris, 2015, PAKDD.

Extreme event detection and assimilation from multimedia sources

A. Talukder, A. Panangadan, 2014, Multimedia Tools and Applications.

Improving the Science Return from Coastal Sensor Webs Using Autonomous Predictive Control and Resource Management

A. Talukder, A. Blumberg, A. Panangadan, 2008 .

Detecting anomalous human interactions using laser range-finders

Gaurav S. Sukhatme, Maja J. Mataric, Anand Panangadan, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Wait-Free Primitives for Initializing Bayesian Network Structure Learning on Multicore Processors

Viktor K. Prasanna, Anand V. Panangadan, Yinglong Xia, 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.

Markov Decision Processes for Control of a Sensor Network-based Health Monitoring System

Anand V. Panangadan, Ashit Talukder, Syed Muhammad Ali, 2005, AAAI.

Extracting discriminative shapelets from heterogeneous sensor data

Viktor K. Prasanna, Anand V. Panangadan, Haifeng Chen, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Semantic management of Enterprise Integration Patterns: A use case in Smart Grids

Vikrambhai S. Sorathia, Viktor K. Prasanna, Anand V. Panangadan, 2014, 2014 IEEE 30th International Conference on Data Engineering Workshops.

A variant of particle filtering using historic datasets for tracking complex geospatial phenomena

Anand V. Panangadan, Ashit Talukder, A. Talukder, 2010, GIS '10.

Tracking and Modeling of Human Activity Using Laser Rangefinders

Gaurav S. Sukhatme, Maja J. Mataric, Anand Panangadan, 2010, Int. J. Soc. Robotics.

Extracting discriminative features for event-based electricity disaggregation

Viktor K. Prasanna, Anand V. Panangadan, Charalampos Chelmis, 2014, 2014 IEEE Conference on Technologies for Sustainability (SusTech).

Construction by Autonomous Agents in a Simulated Environment

Michael G. Dyer, Anand Panangadan, M. Dyer, 2001, ICANN.

Sensors to Events: Semantic Modeling and Recognition of Events from Data Streams

Vikrambhai S. Sorathia, Viktor K. Prasanna, Anand V. Panangadan, 2016, Int. J. Semantic Comput..

Fast learning of approximation policies for coordination in distributed networks

Cauligi S. Raghavendra, Shuping Liu, Asad M. Madni, 2014, 2014 World Automation Congress (WAC).

Learning a Policy for Coordinated Sampling in Body Sensor Networks

Anand V. Panangadan, Cauligi S. Raghavendra, Ashit Talukder, 2011, 2011 International Conference on Body Sensor Networks.

Coordinated Sampling in Communication Constrained Sensor Networks using Markov Decision Processes

C. Raghavendra, A. Talukder, A. Panangadan, 2009 .

Learning Spatial and Temporal Correlation for Navigation in a 2-Dimensional Continuous World

Michael G. Dyer, Anand Panangadan, M. Dyer, 2002, ICML.

Fast high-resolution terahertz radar imaging at 25 meters

Peter H. Siegel, Ashit Talukder, Imran Mehdi, 2010, Defense + Commercial Sensing.

PRIMER - A Regression-Rule Learning System for Intervention Optimization

Viktor K. Prasanna, Anand V. Panangadan, Greg Harris, 2016, RuleML.

Accelerating Support Count for Association Rule Mining on GPUs

Viktor K. Prasanna, Anand V. Panangadan, Vasileios Zois, 2016, 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

FPGA Based Accelerator for Pattern Matching in YARA Framework

Viktor K. Prasanna, Shreyas G. Singapura, Anand V. Panangadan, 2015 .

Data Mining with Shapelets for Predicting Valve Failures in Gas Compressors

Viktor K. Prasanna, Rajgopal Kannan, Arash Saber Tehrani, 2016 .

Predicting Compressor Valve Failures from Multi-Sensor Data

Viktor K. Prasanna, Nabor Reyna, Om Prasad Patri, 2015 .

Predicting Failures from Oilfield Sensor Data using Time Series Shapelets

Viktor K. Prasanna, Charalampos Chelmis, Om Prasad Patri, 2014 .

Rapid Data Integration and Analysis for Upstream Oil and Gas Applications

Viktor K. Prasanna, Palash Goyal, Ajitesh Srivastava, 2015 .

Multivariate Time Series Classiﬁcation Using Inter-leaved Shapelets

V. Prasanna, A. Panangadan, O. Patri, 2015 .

Iterative Approach for Novel Entity Recognition of Foods in Social Media Messages

A. Panangadan, Brandon Chenze, Eugene Lee, 2022, 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI).

Event Extraction from Unstructured Text Data

Viktor K. Prasanna, Anand V. Panangadan, Chao Shang, 2015, DEXA.

Construction in a Simulated Environment Using Temporal Goal Sequencing and Reinforcement Learning

Michael G. Dyer, Anand Panangadan, M. Dyer, 2009, Adapt. Behav..

Analyzing spread of influence in social networks for transportation applications

Lourdes V. Abellera, A. Panangadan, Pritesh Pimpale, 2018, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC).

Natural Language-based Integration of Online Review Datasets for Identification of Sex Trafficking Businesses

Anand Panangadan, Maria Diaz, A. Panangadan, 2020, 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI).