TY - GEN
T1 - Human-machine inference networks for smart decision making
T2 - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
AU - Vempaty, Aditya
AU - Kailkhura, Bhavya
AU - Varshney, Pramod K.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/10
Y1 - 2018/9/10
N2 - The emerging paradigm of Human-Machine Inference Networks (HuMaINs) combines complementary cognitive strengths of humans and machines in an intelligent manner to tackle various inference tasks and achieves higher performance than either humans or machines by themselves. While inference performance optimization techniques for human-only or sensor-only networks are quite mature, HuMaINs require novel signal processing and machine learning solutions. In this paper, we present an overview of the HuMaINs architecture with a focus on three main issues that include architecture design, inference algorithms including security/privacy challenges, and application areas/use cases.
AB - The emerging paradigm of Human-Machine Inference Networks (HuMaINs) combines complementary cognitive strengths of humans and machines in an intelligent manner to tackle various inference tasks and achieves higher performance than either humans or machines by themselves. While inference performance optimization techniques for human-only or sensor-only networks are quite mature, HuMaINs require novel signal processing and machine learning solutions. In this paper, we present an overview of the HuMaINs architecture with a focus on three main issues that include architecture design, inference algorithms including security/privacy challenges, and application areas/use cases.
KW - Behavioral signal processing
KW - Health care informatics
KW - Human-in-the-loop systems
KW - Intelligent tutoring systems
KW - Self-driving cars
UR - http://www.scopus.com/inward/record.url?scp=85054242828&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054242828&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2018.8462638
DO - 10.1109/ICASSP.2018.8462638
M3 - Conference contribution
AN - SCOPUS:85054242828
SN - 9781538646588
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 6961
EP - 6965
BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 April 2018 through 20 April 2018
ER -