Nurali Virani

33 papers A* 1A 1B 1C 6Misc 2Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Strain to Synergy: Powering AI Data Centers with Sustainable and Smart Power Grid Infrastructures.
SmartGridComm
Palak Parikh, Mazhar Ali, Nurali Virani, Scott C. Evans
2024 J jnl
RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity Factors.
CoRR
Anmol Dwivedi, Ali Tajer, Santiago Paternain, Nurali Virani
2023 J jnl
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand.
CoRR
Yiwei Fu, Nurali Virani, Honggang Wang
2022 J jnl
Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text.
CoRR
Varish Mulwad, Andrew Crapo, Vijay S. Kumar, James Jobin, Alfredo Gabaldon, Nurali Virani, Sharad Dixit, Narendra Joshi
2022 J jnl
Masked Multi-Step Multivariate Time Series Forecasting with Future Information.
CoRR
Yiwei Fu, Honggang Wang, Nurali Virani
2022 J jnl
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles.
CoRR
Zhaoyuan Yang, Yewteck Tan, Shiraj Sen, Johan Reimann, John Karigiannis, Mohammed Yousefhussien, Nurali Virani
2021 J jnl
Adversarial Attacks with Time-Scale Representations.
CoRR
Alberto Santamaría-Pang, Jianwei Qiu, Aritra Chowdhury, James Kubricht, Peter H. Tu, Naresh Iyer, Nurali Virani
2020 — conf
Empirical Confidence Models for Supervised Machine Learning.
Canadian AI
Margarita P. Castro, Meinolf Sellmann, Zhaoyuan Yang, Nurali Virani
2020 — conf
Impact of DDDAS/InfoSymbiotics in the Industrial Sector.
DDDAS
Daniel Abramovitch, Sandeep Gogineni, Cory Kays, Chung-Sheng Li, Jose Moreira, Chitra Sivanandam, Nurali Virani
2020 A* conf
Justification-Based Reliability in Machine Learning.
AAAI
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
2020 B conf
Variational Encoder-Based Reliable Classification.
ICIP
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
2020 J jnl
Variational Encoder-based Reliable Classification.
CoRR
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer
2019 J jnl
Design of intentional backdoors in sequential models.
CoRR
Zhaoyuan Yang, Naresh Iyer, Johan Reimann, Nurali Virani
2019 J jnl
Justification-Based Reliability in Machine Learning.
CoRR
Nurali Virani, Naresh Iyer, Zhaoyuan Yang
2019 J jnl
Sequential hypothesis tests for streaming data via symbolic time-series analysis.
Eng. Appl. Artif. Intell.
Nurali Virani, Devesh K. Jha, Asok Ray, Shashi Phoha
2018 J jnl
Learning From Multiple Imperfect Instructors in Sensor Networks.
IEEE Trans. Neural Networks Learn. Syst.
Nurali Virani, Shashi Phoha, Asok Ray
2018 — ch.
Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities.
Handbook of Dynamic Data Driven Applications Systems
Devesh K. Jha, Nurali Virani, Asok Ray
2018 J jnl
Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots.
CoRR
Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu
2018 — ch.
On Compression of Machine-Derived Context Sets for Fusion of Multi-modal Sensor Data.
Handbook of Dynamic Data Driven Applications Systems
Nurali Virani, Shashi Phoha, Asok Ray
2018 A conf
RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots.
DSN
Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu
2018 J jnl
Symbolic analysis-based reduced order Markov modeling of time series data.
Signal Process.
Devesh K. Jha, Nurali Virani, Jan Reimann, Abhishek Srivastav, Asok Ray
2017 J jnl
Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots.
CoRR
Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu
2016 — ch.
Algorithms for Context Learning and Information Representation for Multi-Sensor Teams.
Context-Enhanced Information Fusion
Nurali Virani, Soumalya Sarkar, Ji-Woong Lee, Shashi Phoha, Asok Ray
2016 C conf
Data-driven robot gait modeling via symbolic time series analysis.
ACC
Yusuke Seto, Noboru Takahashi, Devesh K. Jha, Nurali Virani, Asok Ray
2016 C conf
Information-space partitioning and symbolization of multi-dimensional time-series data using density estimation.
ACC
Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray
2016 C conf
Robust adaptive motion planning in the presence of dynamic obstacles.
ACC
Nurali Virani, Minghui Zhu
2015 C conf
Learning context-aware measurement models.
ACC
Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray
2014 Misc conf
Context-aware Dynamic Data-driven Pattern Classification.
ICCS
Shashi Phoha, Nurali Virani, Pritthi Chattopadhyay, Soumalya Sarkar, Brian M. Smith, Asok Ray
2014 — conf
Dynamic context-aware sensor selection for sequential hypothesis testing.
CDC
Nurali Virani, Ji-Woong Lee, Shashi Phoha, Asok Ray
2014 J jnl
Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes.
Frontiers Robotics AI
Soumalya Sarkar, Soumik Sarkar, Nurali Virani, Asok Ray, Murat Yasar
2013 Misc conf
Dynamic Data Driven Sensor Array Fusion for Target Detection and Classification.
ICCS
Nurali Virani, Shane Marcks, Soumalya Sarkar, Kushal Mukherjee, Asok Ray, Shashi Phoha
2013 C conf
Language measure-theoretic path planning in the presence of dynamic obstacles.
ACC
Siddharth Sonti, Nurali Virani, Devesh K. Jha, Kushal Mukherjee, Asok Ray
2013 C conf
Spatiotemporal information fusion for fault detection in shipboard auxiliary systems.
ACC
Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar