Apurva Narayan

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 52

Top Topics

Electric Load Forecasting

Temporal Context

Regular Expressions

Top Venues

Publications

Abhijith Sharma, Phil Munz, Apurva Narayan
Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. WACV (2024)
Gautham Anil, Vishnu Vinod, Apurva Narayan
Generating Universal Adversarial Perturbations for Quantum Classifiers. AAAI (2024)
Jose Alguindigue, Amandeep Singh, Apurva Narayan, Siby Samuel
Biosignals Monitoring for Driver Drowsiness Detection Using Deep Neural Networks. IEEE Access 12 (2024)
Daya Kumar, Abhijith Sharma, Apurva Narayan
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract). AAAI (2024)
Gautham Anil, Vishnu Vinod, Apurva Narayan
Generating Universal Adversarial Perturbations for Quantum Classifiers. CoRR (2024)
Abhijith Sharma, Phil Munz, Apurva Narayan
NSA: Naturalistic Support Artifact to Boost Network Confidence. IJCNN (2023)
Debangsha Sarkar, Milad Ramezankhani, Apurva Narayan, Abbas S. Milani
Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL). Comput. Ind. 151 (2023)
Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger
Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. ICMLA (2023)
Abhijith Sharma, Yijun Bian, Vatsal Nanda, Phil Munz, Apurva Narayan
Vulnerability of CNNs against Multi-Patch Attacks. SAT-CPS@CODASPY (2023)
Abhijith Sharma, Phil Munz, Apurva Narayan
NSA: Naturalistic Support Artifact to Boost Network Confidence. CoRR (2023)
Abhijith Sharma, Phil Munz, Apurva Narayan
Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. CoRR (2023)
Taif Anjum, Louis Chirade, Beiyu Lin, Apurva Narayan
Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident. ICAART (3) (2023)
Aviral Chharia, Runjhun Saran, Apurva Narayan
cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions. IJCNN (2023)
Taif Anjum, Daya Kumar, Apurva Narayan
Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting. IJCNN (2023)
Vipul Gupta, Apurva Narayan
Do we need entire training data for adversarial training? CoRR (2023)
Maulik Parmar, Apurva Narayan
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings. LREC (2022)
Abhijith Sharma, Apurva Narayan
Soft Adversarial Training Can Retain Natural Accuracy. ICAART (3) (2022)
Satyadwyoom Kumar, Apurva Narayan
Introducing Diversity In Feature Scatter Adversarial Training Via Synthesis. ICPR (2022)
Abhijith Sharma, Yijun Bian, Phil Munz, Apurva Narayan
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey. CoRR (2022)
Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. CoRR (2022)
Satyadwyoom Kumar, Apurva Narayan
Towards Robust Certified Defense via Improved Randomized Smoothing. IJCNN (2022)
Maulik Parmar, Apurva Narayan
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings. CoRR (2022)
Javier Perez Tobia, Phillip Braun, Apurva Narayan
AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks. IDA (2022)
Arthur Grisel-Davy, Amrita Milan Bhogayata, Srijan Pabbi, Apurva Narayan, Sebastian Fischmeister
Work-in-Progress: Boot Sequence Integrity Verification with Power Analysis. EMSOFT (2022)
Abhijith Sharma, Apurva Narayan
Soft Adversarial Training Can Retain Natural Accuracy. CoRR (2022)
Aniket Chakraborty, Anupama Vijaya Nadarja, Abbas S. Milani, Javier Perez Tobia, Apurva Narayan
Improving imbalanced dataset classification using Conditional Classifier-Generator (cCGen). SMC (2022)
Milad Ramezankhani, Amir Nazemi, Apurva Narayan, Heinz Voggenreiter, Mehrtash Harandi, Rudolf J. Seethaler, Abbas S. Milani
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. ICPS (2022)
Ramashish Gaurav, Bryan Tripp, Apurva Narayan
Spiking Approximations of the MaxPooling Operation in Deep SNNs. IJCNN (2022)
Ramashish Gaurav, Bryan Tripp, Apurva Narayan
Spiking Approximations of the MaxPooling Operation in Deep SNNs. CoRR (2022)
Taif Anjum, Beiyu Lin, Apurva Narayan
Leveraging spatio-temporal features to forecast time-to-accident. SIGSPATIAL/GIS (2022)
Ramashish Gaurav, Bryan Tripp, Apurva Narayan
Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Canadian Conference on AI (2021)
Sandeep Chinnareddy, Pranav Grandhi, Apurva Narayan
Self-Attention Mechanism in GANs for Molecule Generation. ICMLA (2021)
Rishab Sharma, Fatemeh H. Fard, Apurva Narayan
Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms. ICMLA (2021)
Javier Perez Tobia, Apurva Narayan
Is Timing Critical to Trace Reconstruction? SMC (2021)
Milad Ramezankhani, Apurva Narayan, Rudolf J. Seethaler, Abbas S. Milani
An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing. ICPS (2021)
Pradeep K. Mahato, Apurva Narayan
MINTS: Unsupervised Temporal Specifications Miner. QRS (2021)
Aviral Chharia, Apurva Narayan
A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response for Vaccine Design. BIBE (2021)
Pranav Khanna, Apurva Narayan
Light Weight Dilated CNN for Time Series Classification and Prediction. SMC (2020)
Pradeep K. Mahato, Apurva Narayan
Robust Supply Chains with Gradient Boosted Trees. SSCI (2020)
Yohen Thounaojam, Wiliam Setiawan, Apurva Narayan
MA2DF: A Multi-Agent Anomaly Detection Framework. SMC (2020)
Wiliam Setiawan, Yohen Thounaojam, Apurva Narayan
GWAD: Greedy Workflow Graph Anomaly Detection Framework for System Traces. SMC (2020)
Pradeep K. Mahato, Apurva Narayan
QMine: A Framework for Mining Quantitative Regular Expressions from System Traces. QRS Companion (2020)
Dhruv Bhandari, Sandeep Paul, Apurva Narayan
Deep neural networks for multimodal data fusion and affect recognition. Int. J. Artif. Intell. Soft Comput. 7 (2) (2020)
Apurva Narayan, Sebastian Fischmeister
Mining Time for Timed Regular Specifications. SMC (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Deep Learning for System Trace Restoration. IJCNN (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Deep Learning for System Trace Restoration. CoRR (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Pay attention and you won't lose it: a deep learning approach to sequence imputation. PeerJ Comput. Sci. 5 (2019)
Karuna Lakhani, Apurva Narayan
A Neural Word Embedding Approach to System Trace Reconstruction. SMC (2019)
Apurva Narayan, Greta Cutulenco, Yogi Joshi, Sebastian Fischmeister
Mining Timed Regular Specifications from System Traces. ACM Trans. Embed. Comput. Syst. 17 (2) (2018)
Lukas Schmidt, Apurva Narayan, Sebastian Fischmeister
TREM: a tool for mining timed regular specifications from system traces. ASE (2017)
Apurva Narayan, Keith W. Hipel
Long short term memory networks for short-term electric load forecasting. SMC (2017)
Greta Cutulenco, Yogi Joshi, Apurva Narayan, Sebastian Fischmeister
Mining timed regular expressions from system traces. SoftwareMining@ASE (2016)
Apurva Narayan, Keith W. Hipel, K. Ponnambalam, Sandeep Paul
Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices. SMC (2011)
Apurva Narayan, Chellapilla Patvardhan
A Novel Quantum Evolutionary Algorithm for Quadratic Knapsack Problem. SMC (2009)
Apurva Narayan, Tamanna Srivastava
Dynamic Fuzzy Controller Based Multilayered Architecture for Extended Battery Life in Mobile Handheld Devices. SMC (2009)
Lotika Singh, Apurva Narayan, Satish Kumar
Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system. FUZZ-IEEE (2008)
C. Patvardhan, Apurva Narayan, Anand Srivastav
Enhanced Quantum Evolutionary Algorithms for Difficult Knapsack Problems. PReMI (2007)