Enhanced Quantum Evolutionary Algorithms for Difficult Knapsack Problems. - C. Patvardhan 001; Apurva Narayan; Anand Srivastav (PReMI, 2007)

Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system. - Lotika Singh; Apurva Narayan; Satish Kumar (FUZZ-IEEE, 2008)

A Novel Quantum Evolutionary Algorithm for Quadratic Knapsack Problem. - Apurva Narayan; Chellapilla Patvardhan (SMC, 2009)

Dynamic Fuzzy Controller Based Multilayered Architecture for Extended Battery Life in Mobile Handheld Devices. - Apurva Narayan; Tamanna Srivastava (SMC, 2009)

Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices. - Apurva Narayan; Keith W. Hipel; K. Ponnambalam; Sandeep Paul (SMC, 2011)

Mining timed regular expressions from system traces. - Greta Cutulenco; Yogi Joshi; Apurva Narayan; Sebastian Fischmeister (SoftwareMining@ASE, 2016)

TREM: a tool for mining timed regular specifications from system traces. - Lukas Schmidt; Apurva Narayan; Sebastian Fischmeister (ASE, 2017)

Long short term memory networks for short-term electric load forecasting. - Apurva Narayan; Keith W. Hipel (SMC, 2017)

Mining Timed Regular Specifications from System Traces. - Apurva Narayan; Greta Cutulenco; Yogi Joshi; Sebastian Fischmeister (ACM Trans. Embed. Comput. Syst., 2018)

Deep Learning for System Trace Restoration. - Ilia Sucholutsky; Apurva Narayan; Matthias Schonlau; Sebastian Fischmeister (IJCNN, 2019)

A Neural Word Embedding Approach to System Trace Reconstruction. - Karuna Lakhani; Apurva Narayan (SMC, 2019)

Mining Time for Timed Regular Specifications. - Apurva Narayan; Sebastian Fischmeister (SMC, 2019)

Pay attention and you won't lose it: a deep learning approach to sequence imputation. - Ilia Sucholutsky; Apurva Narayan; Matthias Schonlau; Sebastian Fischmeister (PeerJ Comput. Sci., 2019)

QMine: A Framework for Mining Quantitative Regular Expressions from System Traces. - Pradeep K. Mahato; Apurva Narayan (QRS Companion, 2020)

Light Weight Dilated CNN for Time Series Classification and Prediction. - Pranav Khanna; Apurva Narayan (SMC, 2020)

GWAD: Greedy Workflow Graph Anomaly Detection Framework for System Traces. - Wiliam Setiawan; Yohen Thounaojam; Apurva Narayan (SMC, 2020)

MA2DF: A Multi-Agent Anomaly Detection Framework. - Yohen Thounaojam; Wiliam Setiawan; Apurva Narayan (SMC, 2020)

Robust Supply Chains with Gradient Boosted Trees. - Pradeep K. Mahato; Apurva Narayan (SSCI, 2020)

Deep neural networks for multimodal data fusion and affect recognition. - Dhruv Bhandari; Sandeep Paul; Apurva Narayan (Int. J. Artif. Intell. Soft Comput., 2020)

Driving Scene Understanding: How much temporal context and spatial resolution is necessary? - Ramashish Gaurav; Bryan P. Tripp; Apurva Narayan (Canadian AI, 2021)

A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response for Vaccine Design. - Aviral Chharia; Apurva Narayan (BIBE, 2021)

Self-Attention Mechanism in GANs for Molecule Generation. - Sandeep Chinnareddy; Pranav Grandhi; Apurva Narayan (ICMLA, 2021)

Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms. - Rishab Sharma; Fatemeh H. Fard; Apurva Narayan (ICMLA, 2021)

An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing. - Milad Ramezankhani; Apurva Narayan; Rudolf J. Seethaler; Abbas S. Milani (ICPS, 2021)

MINTS: Unsupervised Temporal Specifications Miner. - Pradeep K. Mahato; Apurva Narayan (QRS, 2021)

Is Timing Critical to Trace Reconstruction? - Javier Perez Tobia; Apurva Narayan (SMC, 2021)

Work-in-Progress: Boot Sequence Integrity Verification with Power Analysis. - Arthur Grisel-Davy; Amrita Milan Bhogayata; Srijan Pabbi; Apurva Narayan; Sebastian Fischmeister (EMSOFT, 2022)

Leveraging spatio-temporal features to forecast time-to-accident. - Taif Anjum; Beiyu Lin; Apurva Narayan (SIGSPATIAL/GIS, 2022)

Soft Adversarial Training Can Retain Natural Accuracy. - Abhijith Sharma; Apurva Narayan (ICAART (3), 2022)

A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study. - Milad Ramezankhani; Amir Nazemi; Apurva Narayan; Heinz Voggenreiter; Mehrtash Harandi; Rudolf J. Seethaler; Abbas S. Milani (ICPS, 2022)

Introducing Diversity In Feature Scatter Adversarial Training Via Synthesis. - Satyadwyoom Kumar; Apurva Narayan (ICPR, 2022)

AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks. - Javier Perez Tobia; Phillip Braun; Apurva Narayan (IDA, 2022)

Spiking Approximations of the MaxPooling Operation in Deep SNNs. - Ramashish Gaurav; Bryan P. Tripp; Apurva Narayan (IJCNN, 2022)

Towards Robust Certified Defense via Improved Randomized Smoothing. - Satyadwyoom Kumar; Apurva Narayan (IJCNN, 2022)

HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings. - Maulik Parmar; Apurva Narayan (LREC, 2022)

Improving imbalanced dataset classification using Conditional Classifier-Generator (cCGen). - Aniket Chakraborty; Anupama Vijaya Nadarja; Abbas S. Milani; Javier Perez Tobia; Apurva Narayan (SMC, 2022)

Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey. - Abhijith Sharma; Yijun Bian; Phil Munz; Apurva Narayan (CoRR, 2022)

Vulnerability of CNNs against Multi-Patch Attacks. - Abhijith Sharma; Yijun Bian; Vatsal Nanda; Phil Munz; Apurva Narayan (SAT-CPS@CODASPY, 2023)

Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident. - Taif Anjum; Louis Chirade; Beiyu Lin; Apurva Narayan (ICAART (3), 2023)

Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. - Madhushan Buwaneswaran; Tehara Fonseka; Apurva Narayan; Katarina Grolinger (ICMLA, 2023)

Spatio-temporal Analysis of Dashboard Camera Videos for Time-To-Accident Forecasting. - Taif Anjum; Daya Kumar; Apurva Narayan (IJCNN, 2023)

cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions. - Aviral Chharia; Runjhun Saran; Apurva Narayan (IJCNN, 2023)

NSA: Naturalistic Support Artifact to Boost Network Confidence. - Abhijith Sharma; Phil Munz; Apurva Narayan (IJCNN, 2023)

Do we need entire training data for adversarial training? - Vipul Gupta; Apurva Narayan (CoRR, 2023)

Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL). - Debangsha Sarkar; Milad Ramezankhani; Apurva Narayan; Abbas S. Milani (Comput. Ind., 2023)

Generating Universal Adversarial Perturbations for Quantum Classifiers. - Gautham Anil; Vishnu Vinod; Apurva Narayan (AAAI, 2024)

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract). - Daya Kumar; Abhijith Sharma; Apurva Narayan (AAAI, 2024)

PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations. - Tanmay Khule; Rishabh Agrawal; Apurva Narayan (EMNLP (Findings), 2024)

ChebyRegNet: An Unsupervised Deep Learning Technique for Deformable Medical Image Registration. - Muhammad Umair Danish; Mohammad Noorchenarboo; Apurva Narayan; Katarina Grolinger (IECON, 2024)

cf-TDFM: A Framework for Limiting Fault Infusion Attacks on Deep Neural Networks. - Mehar Prateek Kalra; Soniya; Apurva Narayan (QRS, 2024)

Are ViTs Weak Against Patch Attacks? - Soniya; Phil Munz; Apurva Narayan (SMC, 2024)

Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. - Abhijith Sharma; Phil Munz; Apurva Narayan (WACV, 2024)

Biosignals Monitoring for Driver Drowsiness Detection Using Deep Neural Networks. - Jose Alguindigue; Amandeep Singh; Apurva Narayan; Siby Samuel (IEEE Access, 2024)

Optimizing Intersection Design: Insights From Older Drivers' Physiological Responses and Gap Acceptance Behavior at Signalized Left Turns. - Sneha Srinivasan; Amandeep Singh; Hyowon Lee 006; Shene Abdalla; Apurva Narayan; Siby Samuel (IEEE Access, 2024)

L2G: Head Gesture Animation Using an Emotion Guided Language Model. - Rishabh Agrawal; Apurva Narayan (ICASSP, 2025)

SCMRAG: Self-Corrective Multihop Retrieval Augmented Generation System for LLM Agents. - Rishabh Agrawal; Murtaza Asrani; Hadi Youssef; Apurva Narayan (AAMAS, 2025)

GAN inversion and shifting: recommending product modifications to sellers for better user preference. - Satyadwyoom Kumar; Abhijith Sharma; Apurva Narayan (PeerJ Comput. Sci., 2025)

Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks. - Yohannis Kifle Telila; Damitha Senevirathne; Dumindu Tissera; Apurva Narayan; Miriam A. M. Capretz; Katarina Grolinger (CoRR, 2025)