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perceptual computing
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017.  (389.45 KB)
patients privacy
Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz. A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 4511 - 4514.
older adults
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Niobium
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Neural networks
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
neural network
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
neural nets
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
Natural Language Processing
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
multi-agent systems
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
motion and tracking algorithms and applications
Bradley Schneider, Tanvi Banerjee. Preliminary Investigation of Walking Motion Using a Combination of Image and Signal Processing. In 2016 International Conference on Computational Science and Computational Intelligence. Las Vegas, NV; 2016.  (514.03 KB)
Mental Health
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
log likelihood
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
linear dynamical system
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
learning (artificial intelligence)
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Knowledge graphs
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017.  (3.03 MB)
Kinect depth images
Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz. A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 4511 - 4514.
Kinect depth data
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
IoT
Tanvi Banerjee, Amit Sheth. IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73.  (1.89 MB)
Internet of Things
Amit Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee. Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017.  (389.45 KB)
instrumental activities-of-daily living recognition
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Inference algorithms
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
IEEE Computational Intelligence Society
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
IADLS
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
IADL
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
hospital rooms
Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz. A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 4511 - 4514.
hierarchical fuzzy rule model
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
health change prediction
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
goal-based fuzzy inference system
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
German for ghosts game
Andrew Buck, Tanvi Banerjee, James Keller. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.

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