Aditya Vempaty

According to our database1, Aditya Vempaty authored at least 40 papers between 2011 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

2020
Mixed Compensation Multidimensional Item Response Theory.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

2019
Modeling of human information processing in hard-soft fusion (Poster).
Proceedings of the 22th International Conference on Information Fusion, 2019

Content Customization for Micro Learning using Human Augmented AI Techniques.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

2018
Experiments and Models for Decision Fusion by Humans in Inference Networks.
IEEE Trans. Signal Process., 2018

Received-Signal-Strength-Based Localization in Wireless Sensor Networks.
Proc. IEEE, 2018

Design and Evaluation of a Tutor Platform for Personalized Vocabulary Learning.
CoRR, 2018

Supporting Multiple Learning Experiences on a Childhood Vocabulary Tutoring Platform.
Proceedings of the Intelligent Tutoring Systems - 14th International Conference, 2018

Human-Machine Inference Networks for Smart Decision Making: Opportunities and Challenges.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Data-Driven Job Capability Profiling.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Assessing National Development Plans for Alignment With Sustainable Development Goals via Semantic Search.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Secure Networked Inference with Unreliable Data Sources
Springer, ISBN: 978-981-13-2311-9, 2018

2017
Multi-Object Classification via Crowdsourcing With a Reject Option.
IEEE Trans. Signal Process., 2017

Effectiveness of peer detailing in a diarrhea program in Nigeria.
IBM J. Res. Dev., 2017

On classification of environmental acoustic data using crowds.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A unified diversity measure for distributed inference.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Statistical Analysis of Peer Detailing for Children's Diarrhea Treatments.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Correcting Forecasts with Multifactor Neural Attention.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Distributed Inference in Tree Networks Using Coding Theory.
IEEE Trans. Signal Process., 2015

The Non-Regular CEO Problem.
IEEE Trans. Inf. Theory, 2015

CEO problem for belief sharing.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Decision fusion by people: Experiments, models, and sociotechnical system design.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Sparsity-promoting sensor management for estimation: An energy balance point of view.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks.
IEEE Trans. Signal Process., 2014

Target Localization in Wireless Sensor Networks Using Error Correcting Codes.
IEEE Trans. Inf. Theory, 2014

False discovery rate based distributed detection in the presence of Byzantines.
IEEE Trans. Aerosp. Electron. Syst., 2014

Energy-Aware Sensor Selection in Field Reconstruction.
IEEE Signal Process. Lett., 2014

Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory.
IEEE J. Sel. Top. Signal Process., 2014

Assuring privacy and reliability in crowdsourcing with coding.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014

Coding theory for reliable signal processing.
Proceedings of the International Conference on Computing, Networking and Communications, 2014

2013
Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques.
IEEE Trans. Signal Process., 2013

Distributed Inference with Byzantine Data: State-of-the-Art Review on Data Falsification Attacks.
IEEE Signal Process. Mag., 2013

Further results on noise-enhanced distributed inference in the presence of Byzantines.
Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013

Reliable classification by unreliable crowds.
Proceedings of the IEEE International Conference on Acoustics, 2013

Target localization in Wireless Sensor Networks using error correcting codes in the presence of Byzantines.
Proceedings of the IEEE International Conference on Acoustics, 2013

Optimal quantizers for distributed Bayesian estimation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Target tracking in Wireless Sensor Networks in the presence of Byzantines.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Mitigation of Byzantine attacks for target location estimation in wireless sensor networks.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011
Adaptive learning of Byzantines' behavior in cooperative spectrum sensing.
Proceedings of the 2011 IEEE Wireless Communications and Networking Conference, 2011

On noise-enhanced distributed inference in the presence of Byzantines.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Target localization in Wireless Sensor Networks with quantized data in the presence of Byzantine attacks.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011


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