Nurali Virani

According to our database, Nurali Virani authored at least 29 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand.

Yiwei Fu, Nurali Virani, Honggang Wang

CoRR, 2023

2022

Masked Multi-Step Multivariate Time Series Forecasting with Future Information.

Yiwei Fu, Honggang Wang, Nurali Virani

CoRR, 2022

Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles.

Zhaoyuan Yang, Yewteck Tan, Shiraj Sen, Johan Reimann, John Karigiannis, Mohammed Yousefhussien, Nurali Virani

CoRR, 2022

Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text.

Varish Mulwad, Andrew Crapo, Vijay S. Kumar, James Jobin, Alfredo Gabaldon, Nurali Virani, Sharad Dixit, Narendra Joshi

CoRR, 2022

2021

Adversarial Attacks with Time-Scale Representations.

Alberto Santamaría-Pang, Jianwei Qiu, Aritra Chowdhury, James Kubricht, Peter H. Tu, Naresh Iyer, Nurali Virani

CoRR, 2021

2020

Variational Encoder-Based Reliable Classification.

Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer

Proceedings of the IEEE International Conference on Image Processing, 2020

Impact of DDDAS/InfoSymbiotics in the Industrial Sector.

Daniel Abramovitch, Sandeep Gogineni, Cory Kays, Chung-Sheng Li, Jose Moreira, Chitra Sivanandam, Nurali Virani

Proceedings of the Dynamic Data Driven Applications Systems, 2020

Empirical Confidence Models for Supervised Machine Learning.

Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani

Proceedings of the Advances in Artificial Intelligence, 2020

Justification-Based Reliability in Machine Learning.

Nurali Virani, Naresh Iyer, Zhaoyuan Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Sequential hypothesis tests for streaming data via symbolic time-series analysis.

Nurali Virani, Devesh K. Jha, Asok Ray, Shashi Phoha

Eng. Appl. Artif. Intell., 2019

Design of intentional backdoors in sequential models.

Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani

CoRR, 2019

2018

On Compression of Machine-Derived Context Sets for Fusion of Multi-modal Sensor Data.

Nurali Virani, Shashi Phoha, Asok Ray

Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities.

Devesh K. Jha, Nurali Virani, Asok Ray

Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Learning From Multiple Imperfect Instructors in Sensor Networks.

Nurali Virani, Shashi Phoha, Asok Ray

IEEE Trans. Neural Networks Learn. Syst., 2018

Symbolic analysis-based reduced order Markov modeling of time series data.

Devesh K. Jha, Nurali Virani, Jan Reimann, Abhishek Srivastav, Asok Ray

Signal Process., 2018

Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots.

Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu

CoRR, 2018

RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots.

Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

2017

Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots.

Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu

CoRR, 2017

2016

Algorithms for Context Learning and Information Representation for Multi-Sensor Teams.

Nurali Virani, Soumalya Sarkar, Ji-Woong Lee, Shashi Phoha, Asok Ray

Proceedings of the Context-Enhanced Information Fusion, 2016

Robust adaptive motion planning in the presence of dynamic obstacles.

Nurali Virani, Minghui Zhu

Proceedings of the 2016 American Control Conference, 2016

Information-space partitioning and symbolization of multi-dimensional time-series data using density estimation.

Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray

Proceedings of the 2016 American Control Conference, 2016

Data-driven robot gait modeling via symbolic time series analysis.

Yusuke Seto, Noboru Takahashi, Devesh K. Jha, Nurali Virani, Asok Ray

Proceedings of the 2016 American Control Conference, 2016

2015

Learning context-aware measurement models.

Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray

Proceedings of the American Control Conference, 2015

2014

Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes.

Soumalya Sarkar, Soumik Sarkar, Nurali Virani, Asok Ray, Murat Yasar

Frontiers Robotics AI, 2014

Context-aware Dynamic Data-driven Pattern Classification.

Shashi Phoha, Nurali Virani, Pritthi Chattopadhyay, Soumalya Sarkar, Brian M. Smith, Asok Ray

Proceedings of the International Conference on Computational Science, 2014

Dynamic context-aware sensor selection for sequential hypothesis testing.

Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification.

Nurali Virani, Shane Marcks, Soumalya Sarkar, Kushal Mukherjee, Asok Ray, Shashi Phoha

Proceedings of the International Conference on Computational Science, 2013

Language measure-theoretic path planning in the presence of dynamic obstacles.

Siddharth Sonti, Nurali Virani, Devesh K. Jha, Kushal Mukherjee, Asok Ray

Proceedings of the American Control Conference, 2013

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems.

Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar

Proceedings of the American Control Conference, 2013