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2020 – today
- 2024
[j13]Somsukla Maiti
, Akshansh Gupta:
Local eye-net: An attention based deep learning architecture for localization of eyes. Expert Syst. Appl. 239: 122416 (2024)- 2023
- [j12]Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, Muhammad Tanveer, Javier Andreu-Perez, Chin-Teng Lin, Mukesh Prasad:
Recognition of multi-cognitive tasks from EEG signals using EMD methods. Neural Comput. Appl. 35(31): 22989-23006 (2023) - [c6]Somsukla Maiti, Akshansh Gupta:
Semi-supervised Contrastive Regression for Estimation of Eye Gaze. PReMI 2023: 252-259 - [i5]Somsukla Maiti, Akshansh Gupta:
LocalEyenet: Deep Attention framework for Localization of Eyes. CoRR abs/2303.12728 (2023) - [i4]Somsukla Maiti, Akshansh Gupta:
Semi-supervised Contrastive Regression for Estimation of Eye Gaze. CoRR abs/2308.02784 (2023) - 2022
- [j11]Hanuman Verma, Saurav Mandal, Akshansh Gupta:
Temporal deep learning architecture for prediction of COVID-19 cases in India. Expert Syst. Appl. 195: 116611 (2022) - [c5]Kakoli Banerjee, Ajay Kumar, Akshansh Gupta, Pradeep Kumar, K. G. Harsha, Gauransh Verma, P. Vinooth, Dhruv Baliyan:
Assessing Water Quality Index Near Industrial Regions and Aiding in Effective Water Management and Controlling Water Pollution Level. IC3I 2022: 1987-1991 - 2021
- [j10]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Weiping Ding, Chin-Teng Lin, Mukesh Prasad:
On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3080-3092 (2021) - [i3]Hanuman Verma, Saurav Mandal, Akshansh Gupta:
Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India. CoRR abs/2108.13823 (2021) - [i2]Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andreu-Perez, Wei-Ping Ding, Chin-Teng Lin, Mukesh Prasad:
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI. CoRR abs/2111.08154 (2021) - 2020
- [j9]Amit Saxena, Shreya Pare, Mahendra Singh Meena, Deepak Gupta, Akshansh Gupta, Imran Razzak, Chin-Teng Lin, Mukesh Prasad:
A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms 13(9): 215 (2020) - [j8]Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad:
A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing 389: 207-217 (2020) - [c4]Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad:
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease. IJCNN 2020: 1-8 - [i1]Hanuman Verma, Akshansh Gupta, Utkarsh Niranjan:
Analysis of COVID-19 cases in India through Machine Learning: A Study of Intervention. CoRR abs/2008.10450 (2020)
2010 – 2019
- 2019
- [j7]Chin-Teng Lin, Jung-Tai King, Priyanka Bharadwaj, Chih-Hao Chen, Akshansh Gupta, Weiping Ding, Mukesh Prasad:
EOG-Based Eye Movement Classification and Application on HCI Baseball Game. IEEE Access 7: 96166-96176 (2019) - [j6]Hanuman Verma, Akshansh Gupta, Dhirendra Kumar:
A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree. Pattern Recognit. Lett. 122: 45-52 (2019) - 2018
- [j5]Hesham El-Sayed, Sharmi Sankar, Mukesh Prasad, Deepak Puthal, Akshansh Gupta, Manoranjan Mohanty, Chin-Teng Lin:
Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment. IEEE Access 6: 1706-1717 (2018) - [j4]Chin-Teng Lin, Jung-Tai King, Avinash Kumar Singh, Akshansh Gupta, Zhenyuan Ma, Jheng-Wei Lin, Alexei Manso Corrêa Machado, Abhishek M. Appaji, Mukesh Prasad:
Voice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogram. IEEE Access 6: 26483-26492 (2018) - [c3]Muhammad Tanveer, Akshansh Gupta, Dhirendra Kumar, Saumya Priyadarshini, Anirban Chakraborti, Rammohan Mallipeddi:
Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. SMC 2018: 1761-1766 - 2017
- [j3]Akshansh Gupta, Dhirendra Kumar:
Fuzzy clustering-based feature extraction method for mental task classification. Brain Informatics 4(2): 135-145 (2017) - [j2]Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin:
A review of clustering techniques and developments. Neurocomputing 267: 664-681 (2017) - 2015
- [j1]Akshansh Gupta, R. K. Agrawal, Baljeet Kaur:
Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods. Soft Comput. 19(10): 2799-2812 (2015) - 2012
- [c2]Akshansh Gupta, R. K. Agrawal, Baljeet Kaur:
A three phase approach for mental task classification using EEG. ICACCI 2012: 898-904 - [c1]Akshansh Gupta, R. K. Agrawal:
Relevant Feature Selection from EEG Signal for Mental Task Classification. PAKDD (2) 2012: 431-442
Coauthor Index
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