Anmol Gupta

Orcid: 0000-0003-0159-8780

According to our database1, Anmol Gupta authored at least 19 papers between 2015 and 2024.

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



In proceedings 
PhD thesis 




Efficacy of transformer networks for classification of EEG data.
Biomed. Signal Process. Control., January, 2024

Knowledge-Based Recommendation for Subject Allocation Using Artificial Neural Network in Higher Education.
IEEE Trans. Educ., October, 2023

Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning.
Big Data, August, 2023

TSPP: A Unified Benchmarking Tool for Time-series Forecasting.
CoRR, 2023

A review of different ECG classification/detection techniques for improved medical applications.
Int. J. Syst. Assur. Eng. Manag., 2022

Generalized framework for the design of adaptive fractional-order masks for image denoising.
Digit. Signal Process., 2022

Design of Mittag-Leffler Kernel-Based Fractional-Order Digital Filter Using Fractional Delay Interpolation.
Circuits Syst. Signal Process., 2022

Efficacy of Transformer Networks for Classification of Raw EEG Data.
CoRR, 2022

Improving Voice Trigger Detection with Metric Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning.
Sensors, 2021

A Cautionary Tale About Detecting Malware Using Hardware Performance Counters and Machine Learning.
IEEE Des. Test, 2021

Closed-Form Analytical Formulation for Riemann-Liouville-Based Fractional-Order Digital Differentiator Using Fractional Sample Delay Interpolation.
Circuits Syst. Signal Process., 2021

Evaluation of Instance-Based Learning and Q-Learning Algorithms in Dynamic Environments.
IEEE Access, 2021

Influencing Opinions of Heterogeneous Populations over Finite Time Horizons.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

Multi-Task Learning with Cross Attention for Keyword Spotting.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Influencing Opinion Dynamics in Networks with Limited Interaction.
CoRR, 2020

Hardware Performance Counters Can Detect Malware: Myth or Fact?
Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018

Accelerating SVM on Ultra Low Power ASIP for High Throughput Streaming Applications.
Proceedings of the 28th International Conference on VLSI Design, 2015