Apurva Narayan

Orcid: 0000-0001-7203-8698

According to our database1, Apurva Narayan authored at least 52 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimizing Intersection Design: Insights From Older Drivers' Physiological Responses and Gap Acceptance Behavior at Signalized Left Turns.
IEEE Access, 2024

Biosignals Monitoring for Driver Drowsiness Detection Using Deep Neural Networks.
IEEE Access, 2024

Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

cf-TDFM: A Framework for Limiting Fault Infusion Attacks on Deep Neural Networks.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generating Universal Adversarial Perturbations for Quantum Classifiers.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL).
Comput. Ind., October, 2023

Do we need entire training data for adversarial training?
CoRR, 2023

NSA: Naturalistic Support Artifact to Boost Network Confidence.
Proceedings of the International Joint Conference on Neural Networks, 2023

cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions.
Proceedings of the International Joint Conference on Neural Networks, 2023

Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2023

Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Vulnerability of CNNs against Multi-Patch Attacks.
Proceedings of the Sat-CPS@CODASPY 2023: Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, 2023

2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey.
CoRR, 2022

Improving imbalanced dataset classification using Conditional Classifier-Generator (cCGen).
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Robust Certified Defense via Improved Randomized Smoothing.
Proceedings of the International Joint Conference on Neural Networks, 2022

Spiking Approximations of the MaxPooling Operation in Deep SNNs.
Proceedings of the International Joint Conference on Neural Networks, 2022

AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Introducing Diversity In Feature Scatter Adversarial Training Via Synthesis.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

Soft Adversarial Training Can Retain Natural Accuracy.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Leveraging spatio-temporal features to forecast time-to-accident.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Work-in-Progress: Boot Sequence Integrity Verification with Power Analysis.
Proceedings of the International Conference on Embedded Software, 2022

2021
Is Timing Critical to Trace Reconstruction?
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

MINTS: Unsupervised Temporal Specifications Miner.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Self-Attention Mechanism in GANs for Molecule Generation.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response for Vaccine Design.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Driving Scene Understanding: How much temporal context and spatial resolution is necessary?
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Deep neural networks for multimodal data fusion and affect recognition.
Int. J. Artif. Intell. Soft Comput., 2020

Robust Supply Chains with Gradient Boosted Trees.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

MA2DF: A Multi-Agent Anomaly Detection Framework.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

GWAD: Greedy Workflow Graph Anomaly Detection Framework for System Traces.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Light Weight Dilated CNN for Time Series Classification and Prediction.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

QMine: A Framework for Mining Quantitative Regular Expressions from System Traces.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

2019
Pay attention and you won't lose it: a deep learning approach to sequence imputation.
PeerJ Comput. Sci., 2019

Mining Time for Timed Regular Specifications.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Neural Word Embedding Approach to System Trace Reconstruction.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Deep Learning for System Trace Restoration.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Mining Timed Regular Specifications from System Traces.
ACM Trans. Embed. Comput. Syst., 2018

2017
Long short term memory networks for short-term electric load forecasting.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

TREM: a tool for mining timed regular specifications from system traces.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

2016
Mining timed regular expressions from system traces.
Proceedings of the 5th International Workshop on Software Mining, 2016

2011
Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices.
Proceedings of the IEEE International Conference on Systems, 2011

2009
Dynamic Fuzzy Controller Based Multilayered Architecture for Extended Battery Life in Mobile Handheld Devices.
Proceedings of the IEEE International Conference on Systems, 2009

A Novel Quantum Evolutionary Algorithm for Quadratic Knapsack Problem.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Enhanced Quantum Evolutionary Algorithms for Difficult Knapsack Problems.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007


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