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ORCIDNurali Virani
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2020 – today
- 2023
[i10]Yiwei Fu, Nurali Virani, Honggang Wang:
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand. CoRR abs/2302.06818 (2023)- 2022
- [i9]Varish Mulwad, Andrew Crapo, Vijay S. Kumar, James Jobin, Alfredo Gabaldon, Nurali Virani, Sharad Dixit, Narendra Joshi:
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text. CoRR abs/2202.13739 (2022) - [i8]Zhaoyuan Yang, Yewteck Tan, Shiraj Sen, Johan Reimann, John Karigiannis, Mohammed Yousefhussien, Nurali Virani:
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles. CoRR abs/2209.11115 (2022) - [i7]Yiwei Fu, Honggang Wang, Nurali Virani:
Masked Multi-Step Multivariate Time Series Forecasting with Future Information. CoRR abs/2209.14413 (2022) - 2021
- [i6]Alberto Santamaría-Pang, Jianwei Qiu, Aritra Chowdhury, James Kubricht, Peter H. Tu, Naresh Iyer, Nurali Virani:
Adversarial Attacks with Time-Scale Representations. CoRR abs/2107.12473 (2021) - 2020
- [c14]Nurali Virani, Naresh Iyer, Zhaoyuan Yang:
Justification-Based Reliability in Machine Learning. AAAI 2020: 6078-6085 - [c13]Margarita P. Castro
, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani:
Empirical Confidence Models for Supervised Machine Learning. Canadian AI 2020: 105-117 - [c12]Daniel Abramovitch, Sandeep Gogineni, Cory Kays, Chung-Sheng Li, Jose Moreira, Chitra Sivanandam, Nurali Virani:
Impact of DDDAS/InfoSymbiotics in the Industrial Sector. DDDAS 2020: 355 - [c11]Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer:
Variational Encoder-Based Reliable Classification. ICIP 2020: 1941-1945 - [i5]Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer:
Variational Encoder-based Reliable Classification. CoRR abs/2002.08289 (2020)
2010 – 2019
- 2019
- [j4]Nurali Virani, Devesh K. Jha, Asok Ray, Shashi Phoha:
Sequential hypothesis tests for streaming data via symbolic time-series analysis. Eng. Appl. Artif. Intell. 81: 234-246 (2019) - [i4]Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani:
Design of intentional backdoors in sequential models. CoRR abs/1902.09972 (2019) - [i3]Nurali Virani, Naresh Iyer, Zhaoyuan Yang:
Justification-Based Reliability in Machine Learning. CoRR abs/1911.07391 (2019) - 2018
- [j3]Devesh K. Jha, Nurali Virani, Jan Reimann, Abhishek Srivastav, Asok Ray:
Symbolic analysis-based reduced order Markov modeling of time series data. Signal Process. 149: 68-81 (2018) - [j2]Nurali Virani, Shashi Phoha, Asok Ray:
Learning From Multiple Imperfect Instructors in Sensor Networks. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5166-5172 (2018) - [c10]Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu:
RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots. DSN 2018: 574-585 - [p3]Devesh K. Jha, Nurali Virani, Asok Ray:
Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities. Handbook of Dynamic Data Driven Applications Systems 2018: 123-138 - [p2]Nurali Virani, Shashi Phoha, Asok Ray:
On Compression of Machine-Derived Context Sets for Fusion of Multi-modal Sensor Data. Handbook of Dynamic Data Driven Applications Systems 2018: 571-586 - [i2]Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu:
Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots. CoRR abs/1804.02814 (2018) - 2017
- [i1]Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu:
Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots. CoRR abs/1708.01834 (2017) - 2016
- [c9]Nurali Virani, Minghui Zhu:
Robust adaptive motion planning in the presence of dynamic obstacles. ACC 2016: 2104-2109 - [c8]Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray:
Information-space partitioning and symbolization of multi-dimensional time-series data using density estimation. ACC 2016: 3328-3333 - [c7]Yusuke Seto, Noboru Takahashi, Devesh K. Jha, Nurali Virani, Asok Ray:
Data-driven robot gait modeling via symbolic time series analysis. ACC 2016: 3904-3909 - [p1]Nurali Virani, Soumalya Sarkar, Ji-Woong Lee, Shashi Phoha, Asok Ray:
Algorithms for Context Learning and Information Representation for Multi-Sensor Teams. Context-Enhanced Information Fusion 2016: 403-427 - 2015
- [c6]Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray:
Learning context-aware measurement models. ACC 2015: 4491-4496 - 2014
- [j1]Soumalya Sarkar, Soumik Sarkar, Nurali Virani, Asok Ray, Murat Yasar:
Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes. Frontiers Robotics AI 1: 16 (2014) - [c5]Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray:
Dynamic context-aware sensor selection for sequential hypothesis testing. CDC 2014: 6889-6894 - [c4]Shashi Phoha, Nurali Virani, Pritthi Chattopadhyay, Soumalya Sarkar, Brian M. Smith, Asok Ray:
Context-aware Dynamic Data-driven Pattern Classification. ICCS 2014: 1324-1333 - 2013
- [c3]Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar:
Spatiotemporal information fusion for fault detection in shipboard auxiliary systems. ACC 2013: 3846-3851 - [c2]Siddharth Sonti, Nurali Virani, Devesh K. Jha, Kushal Mukherjee, Asok Ray:
Language measure-theoretic path planning in the presence of dynamic obstacles. ACC 2013: 5110-5115 - [c1]Nurali Virani, Shane Marcks, Soumalya Sarkar, Kushal Mukherjee, Asok Ray, Shashi Phoha:
Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification. ICCS 2013: 2046-2055
Coauthor Index
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