Naresh Iyer

Publication Activity (10 Years)

Years Active: 1998-2021
Publications (10 Years): 6

Top Topics

Image Watermarking

Machine Learning

Classification Process

Cross Validation

Top Venues

Publications

Alberto Santamaría-Pang, Jianwei Qiu, Aritra Chowdhury, James Kubricht, Peter H. Tu, Naresh Iyer, Nurali Virani
Adversarial Attacks with Time-Scale Representations. CoRR (2021)
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
Variational Encoder-based Reliable Classification. CoRR (2020)
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
Justification-Based Reliability in Machine Learning. AAAI (2020)
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
Variational Encoder-Based Reliable Classification. ICIP (2020)
Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani
Design of intentional backdoors in sequential models. CoRR (2019)
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
Justification-Based Reliability in Machine Learning. CoRR (2019)
Hai Qiu, Neil H. W. Eklund, Xiao Hu, Weizhong Yan, Naresh Iyer
Anomaly detection using data clustering and neural networks. IJCNN (2008)
Xiao Hu, Raj Subbu, Piero P. Bonissone, Hai Qiu, Naresh Iyer
Multivariate anomaly detection in real-world industrial systems. IJCNN (2008)
Xiao Hu, Hai Qiu, Naresh Iyer
Multivariate change detection for time series data in aircraft engine fault diagnostics. SMC (2007)
Piero P. Bonissone, Naresh Iyer
Soft Computing Applications to Prognostics and Health Management (PHM): Leveraging Field Data and Domain Knowledge. AAAI Fall Symposium: Artificial Intelligence for Prognostics (2007)
Raj Subbu, Piero P. Bonissone, Srinivas Bollapragada, Kete Charles Chalermkraivuth, Neil H. W. Eklund, Naresh Iyer, Rasik Shah, Feng Xue, Weizhong Yan
A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric. MCDM (2007)
Naresh Iyer, Piero P. Bonissone
Automated Risk Classification and Outlier Detection. MCDM (2007)
Piero P. Bonissone, Naresh Iyer
Soft Computing Applications to Prognostics and Health Management (PHM): Leveraging Field Data and Domain Knowledge. IWANN (2007)
Naresh Iyer, John R. Josephson
Multicriterially Best Explanations. Discovery Science (2001)
John R. Josephson, B. Chandrasekaran, Mark Carroll, Naresh Iyer, Bryon Wasacz, Giorgio Rizzoni, Qingyuam Li, David A. Erb
An Architecture for Exploring Large Design Spaces. AAAI/IAAI (1998)