Rajdeep Chatterjee
Rajdeep Chatterjee
Associate Professor
Rajdeep Chatterjee received his Bachelor of Engineering in Computer Science and Engineering from The University of Burdwan in 2008. He completed both his Master of Technology and Ph.D. in Computer Science and Engineering from KIIT Deemed to be University in 2011 and 2020, respectively. He received an MHRD (Now, Ministry of Education, Govt. of India) scholarship in his masters for possessing All India Rank 1410 in GATE-2008. He started his professional career as Project Linked Person at Machine Intelligence Unit, Indian Statistical Institute, Kolkata. He is currently working as an Associate Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. Besides, he is associated as an expert member in the Cognitive Systems and Cybernetics Research Lab., MIU, ISI Kolkata, India. He is also one of the founding members of the international conference series on Computational Intelligence & Networks (http://www.cineconf.org). He has published research articles in many reputed international conferences and journals. He is a regular reviewer of various reputed journals such as Medical & Biological Eng. & Computing (SCI-E, IF: 2.602), IEEE Transactions on Biomedical Engineering (SCI-E, IF: 4.538), IEEE Journal of Biomedical and Health Informatics (SCI-E, IF: 5.223), Computers in Biology and Medicine (SCI-E, IF: 4.589), IEEE Transactions on Emerging Topics in Computational Intelligence (Scopus, IF: 8.28), Evolutionary Intelligence (Scopus, DBLP), etc. His research areas include Brain-Computer Interface, Machine Learning, Deep Learning, and Computer Vision.
Profile Links
Email :
[email protected]
Website :
sites.google.com
Scopus Id :
57189530647
Google Scholar :
https://scholar.google.co.in/citations?user=BozHYf4AAAAJ&hl=en
Social Links
Research Interests
Machine learning, Deep Learning, Computer Vision and Bio-signal Classification
Administrative Responsibility
FIC Industrial Training and Grand Viva
Awards & Honours
Memberships
Senior Member IEEE, Member ACM and ISC
Machine learning, Deep Learning, Computer Vision and Bio-signal Classification
Administrative Responsibility
FIC Industrial Training and Grand Viva
Awards & Honours
- Delivered a Lecture on "Fuzzy Discernibility Matrix: A Novel Feature Selection Technique" at Oxford Machine Learning Summer School 2021 Unconference Track
- Qualified GATE-2008 with All India Rank 1410 and KIITEE-2009 (M.Tech) with All India Rank 1.
- Invited as a keynote speaker to the 1st International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), which was held at the Institute of Engineering & Management, Kolkata, West Bengal from 20th-21st May 2021.
- Chester Sall Award Winner for the Second place, 2023 (awarded by IEEE Consumer Technology Society)
Memberships
Senior Member IEEE, Member ACM and ISC
Journals/Conferences :
[1] R. Chatterjee, S. Chatterjee, S. Samanta, S. Biswas, "AI Approaches to Investigate EEG Signal Classification for Cognitive Performance Assessment," in Proc. 6th Int. Conf. Comput. Intell. Netw. (CINE), 2024.
[2] R. Mukherjee, R. Dwivedi, N. D. Jana, R. Chatterjee, S. Ghosh, A. Dey, D. Nath, A. Bandyopadhyay, "An Intelligent CDS (Clinical Decision Support) Framework using Machine Learning Algorithms for Parkinson Disease Detection," in Preprint Research Square, Nov 2024, pp. 1–20.
[3] A. Kumar, U. Singh, R. Chatterjee, T. Bandyopadhyay, "Massimo: Public Queue Monitoring and Management using Mass-Spring Model," arXiv preprint arXiv:2410.16012, 2024.
[4] T. Bhandari, R. V. Romould, M. K. Gourisaria, V. Singh, R. Chatterjee, A. Bandyopadhyay, "Unveiling Machine Learning Paradigms for Robust Malware Detection in Personal Data Security," in Proc. 6th Int. Conf. Comput. Intell. Netw. (CCICT), 2024, pp. 1–6.
[5] R. Chatterjee, P. Bishwas, S. Chakrabarty, T. Bandyopadhyay, "South Asian Sounds: Audio Classification," in Proc. 4th Int. Conf. Comput., Commun., Control Autom. (C3IT), 2024, pp. 1–6.
[6] T. Acharjee, R. Chatterjee, "Wound Classification: Database Construction Through Image Processing and Region of Interest Detection," in Proc. 4th Int. Conf. Comput., Commun., Control Autom. (C3IT), 2024, pp. 1–6.
[7] S. Agarwal, A. Raj, A. Chowdhury, G. Aich, R. Chatterjee, K. Ghosh, "Investigating the impact of standard brain atlases and connectivity measures on the accuracy of ADHD detection from fMRI data using deep learning," Multimedia Tools Appl., vol. 83, no. 25, pp. 67023–67057, 2024.
[8] R. Chatterjee, A. Chatterjee, "Pose4gun: a pose-based machine learning approach to detect small firearms from visual media," Multimedia Tools Appl., vol. 83, no. 22, pp. 62209–62235, 2024.
[9] M. K. Gourisaria, A. V. Patel, R. Chatterjee, B. Sahoo, "Predicting the Survival Status of Patient after Bone Marrow Transplant Using Fuzzy Discernibility Matrix," in Proc. OPJU Int. Technol. Conf. Emerg. Technol. Sustain. World (OTCON), 2023, pp. 4–9.
[10] R. Chatterjee, B. Nath, M. K. Gourisaria, "Unlocking the Potential of NLP-Based Machine Learning for Efficient Document Classification," in Proc. IEEE 11th Region 10 Humanitarian Technol. Conf. (R10-HTC), 2023, pp. 163–168.
[11] R. Chatterjee, B. Nath, "Preserving Our Heritage: Buildings Deep Learning Solutions for Monitoring Cultural Heritage Structures Using Automated Crack Detection," in Proc. Int. Conf. Smart Syst.: Innov. Comput., 2023, pp. 253–267.
[12] M. K. Gourisaria, A. V. Patel, R. Chatterjee, V. Singh, "Transformer for Fire and Smoke Image," in Smart Systems: Innovations in Computing: Proc. SSIC, 2023, pp. 247–258.
[13] R. Chatterjee, C. Mukherjee, S. Chatterjee, B. Nath, "Latent Dirichlet Allocation for Topic Modeling and Intelligent Document Classification," in Proc. Int. Conf. Innov. Data Anal. (ICIDA), 2023, pp. 71–83.
[14] M. K. Gourisaria, A. V. Patel, R. Chatterjee, V. Singh, "EfficientViT: An Efficient Vision Transformer for Fire and Smoke Image Classification," in Proc. Int. Conf. Smart Syst.: Innov. Comput. (SSIC), 2023, pp. 247–258.
[15] M. K. Gourisaria, U. Singh, A. Arora, R. Chatterjee, "Keppler Red Giants Classification using a Machine learning approach," in Proc. OPJU Int. Technol. Conf. Emerg. Technol. Sustain. World (OTCON), 2023, pp. 1–6.
[16] M. K. Gourisaria, V. Singh, R. Chatterjee, S. K. Panda, M. R. Pradhan, B. Acharya, "PneuNetV1: A deep neural network for classification of pneumothorax using CXR images," IEEE Access, vol. 11, pp. 65028–65042, 2023.
[17] R. Chatterjee, A. Chatterjee, M. R. Pradhan, B. Acharya, T. Choudhury, "A deep learning-based efficient firearms monitoring technique for building secure smart cities," IEEE Access, vol. 11, pp. 37515–37524, 2023.
[18] R. Chatterjee, A. Chatterjee, S. K. H. Islam, M. K. Khan, "An object detection- based few-shot learning approach for multimedia quality assessment," Multimedia Syst., vol. 29, no. 5, pp. 2899–2912, Oct. 2023.
[19] D. Guha, R. Chatterjee, B. Sikdar, "Anomaly detection using LSTM-based variational autoencoder in unsupervised data in power grid," IEEE Syst. J., vol. 17, no. 3, pp. 4313–4323, Sep. 2023.
[20] R. Chatterjee, R. Halder, T. Maitra, S. Pani, "A computer vision-based perceived attention monitoring technique for smart teaching," Multimedia Tools Appl., vol. 82, no. 8, pp. 11523–11547, Mar. 2023.
[21] R. Chatterjee, O. Das, R. Kundu, S. Podder, "Machine Learning Inspired Smart Agriculture System with Crop Prediction," Int. J. Res. Appl. Sci. Eng. Technol., vol. 11, no. 5, pp. 1–6, 2023.
[22] R. Chatterjee, A. Chatterjee, S. K. H. Islam, "Deep learning techniques for observing the impact of the global warming from satellite images of water-bodies," Multimedia Tools Appl., vol. 81, no. 5, pp. 6115–6130, Mar. 2022.
[23] A. V. Patel, V. Singh, M. K. Gourisaria, R. Chatterjee, "A duplex method for prediction of concrete strength using dimensionality reduction," in Proc. IEEE 19th India Council Int. Conf. (INDICON), 2022, pp. 3–8.
[24] S. Mondal, S. Ghosh, A. Kumar, S. K. H. Islam, R. Chatterjee, "Spear Phishing Detection: An Ensemble Learning Approach," in Data Analytics, Computational Statistics, and Operations Research for Engineers and Data Scientists, S. K. Pani, Ed. Singapore: Springer, 2022, pp. 6–11.
[25] R. Chatterjee, S. Roy, S. Roy, "A Siamese Neural Network-Based Face Recognition from Masked Faces," in Proc. Int. Conf. Adv. Netw. Technol. Intell. Comput. (ANTIC), 2022, pp. 6–11.
[26] A. Biswas, S. Chakraborty, D. Deb, R. Chatterjee, "HRPro: A Machine Learning Approach for Recruitment Process Automation," in Proc. Mach. Intell. Data Sci. Appl. (MIDAS), 2022, pp. 1–6.
[27] A. Sah, R. Chatterjee, M. K. Gourisaria, "Machine learning approaches to assess mood of the news editorial," in Proc. IEEE Int. Conf. Electron., Comput. Commun. Technol. (CONECCT), 2022, pp. 6–11.
[28] R. Chatterjee, A. Chatterjee, S. Roy, M. K. Gourisaria, "A fast and effective machine learning approach for road cracks classification," in Proc. IEEE 19th India Council Int. Conf. (INDICON), 2022, pp. 1–6.
[29] R. Chatterjee, A. Chatterjee, S. K. H. Islam, "A Hand Gesture-Based Contact- less Interface for Electronic Health Records," in Proc. Int. Interdisciplinary Conf. Math., Eng. Bus. Manag., 2022, pp. 1–6.
[30] A. Arora, U. Singh, M. K. Gourisaria, R. Chatterjee, "Semantic Segmentation of Retinal Vessels using Deep Learning approach," in Proc. OITS Int. Conf. Inf. Technol. (OCIT), 2022, pp. 244–249.
[31] A. Arora, M. K. Gourisaria, R. Chatterjee, "Classification and analysis of dementia using machine learning algorithms," in Proc. IEEE Int. Conf. Electron., Comput. Commun. Technol. (CONECCT), 2022, pp. 12–17.
[32] S. Mazumdar, R. Chatterjee, "Deep learning approach for motor-imagery brain states discrimination problem," in Advances in Data Computing, Communication and Security: Proc. I3CS, 2021, pp. 2–7.
[33] R. Chatterjee, S. Roy, S. K. H. Islam, "Trident U-Net: an encoder fusion for improved biomedical image segmentation," in Bioengineering and Biomedical Signal and Image Processing, H. K. Manandhar, Ed. Cham, Switzerland: Springer, 2021, pp. 3–8.
[34] R. Chatterjee, D. K. Sanyal, A. Chatterjee, "Fuzzy-Discernibility Matrix-based an Efficient Feature Selection Technique for Improved Motor-Imagery EEG Signal Classification," bioRxiv, 2021. [Online]. Available: https://doi.org/10.1101/2021.03.24.436722
[35] R. Chatterjee, A. Datta, D. K. Sanyal, S. Banerjee, "Temporal window based feature extraction technique for motor-imagery EEG signal classification," bioRxiv, 2021. [Online]. Available: https://doi.org/10.1101/2021.03.19.436144
[36] A. Chowdhury, R. Chatterjee, G. Aich, K. Ghosh, "ADHDNet: A DNN based framework for efficient ADHD detection from fMRI dataset," in Proc. Int. Conf. Pattern Recognit. Mach. Intell. (PReMI), 2021, pp. 5–10.
[37] R. Chatterjee, A. Chatterjee, R. Halder, "An Efficient Pneumonia Detection from the Chest X-Ray Images," in Proc. MIDAS, 2021, pp. 779–789.
[38] R. Chatterjee, S. Roy, S. H. Islam, D. Samanta, "An AI approach to pose-based sports activity classification," in Proc. 8th Int. Conf. Signal Process. Integr. Netw. (SPIN), 2021, pp. 14–19.
[39] R. Chatterjee, A. Mondal, "Effects of different filters on text extractions from videos using tesseract," Int. J. Comput. Appl., vol. 975, pp. 8887–8892, 2021.
[40] R. Chatterjee, S. Mazumdar, R. S. Sherratt, R. Halder, T. Maitra, D. Giri, "Real- Time Speech Emotion Analysis for Smart Home Assistants," IEEE Trans. Consum. Electron., vol. 67, no. 1, pp. 68–76, Feb. 2021.
[41] K. Chatterjee, M. S. Obaidat, D. Samanta, B. Sadoun, S. K. H. Islam, "Classification of soil images using convolution neural networks," in Proc. Int. Conf. Commun., Comput., Cybersecurity, Inf. (CCCI), 2021, pp. 8–13.
[42] R. Chatterjee, A. Chatterjee, R. Halder, "Impact of Deep Learning on Arts and Archaeology: An Image Classification Point of View," in Proc. MIDAS, 2020, pp. 801–810.
[43] R. Chatterjee, R. Halder, "Deep Ensemble Learning-based Smart Teaching," IndiaRxiv, 2020. [Online]. Available: https://indiarxiv.org/re94u/
[44] R. Chatterjee, R. Halder, "Discrete Wavelet Transform for CNN-BiLSTM-based Violence Detection," in Proc. 2nd Int. Conf. Emerg. Trends Adv. Comput. (ICETAC), 2020, pp. 13–18.
[45] R. Halder, R. Chatterjee, "CNN-BiLSTM model for violence detection in smart surveillance," SN Comput. Sci., vol. 1, no. 4, pp. 201–210, Jul. 2020.
[46] R. Chatterjee, N. B. J. Naskar, D. K. Sanyal, "CELLULAR AUTOMATA- BASED PATTERN CLASSIFIER FOR BRAIN-STATE DISCRIMINATION PROBLEM," ICIC-Express Lett., vol. 14, no. 7, pp. 721–729, Jul. 2020.
[47] R. Chatterjee, A. Chatterjee, "Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal classification," Int. J. Comput. Appl. Technol., vol. 64, no. 4, pp. 403–414, 2020.
[48] R. Chatterjee, D. K. Sanyal, "Study of different filter bank approaches in motor- imagery EEG signal classification," in Smart Healthcare Analytics in IoT Enabled Environment, P. K. Pattnaik, Ed. Cham, Switzerland: Springer, 2020, pp. 173–190.
[49] R. Chatterjee, R. Halder, "Deep learning-based smart attendance monitoring system," in Proc. Global AI Congr., 2019, pp. 101–115.
[50] R. Palit, R. Chatterjee, "Recommender System using K-Nearest Neighbors and Singular Value Decomposition Algorithms: A Hybrid Approach," in Proc. Int. Conf. Comput. Appl. Netw. (ICCAN), 2019, pp. 4–9.
[51] S. K. Pani, R. Chatterjee, N. R. Mahapatra, "Towards Trusted, Transparent and Motivational Professional Education System Through Blockchain," Int. J. Inf. Syst. Soc. Change, vol. 10, no. 2, pp. 1–15, 2019.
[52] D. K. Sanyal, S. Chattopadhyay, R. Chatterjee, "Figure retrieval from biomedical literature: An overview of techniques, tools, and challenges," in Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, M. K. Kundu, Ed. Amsterdam, The Netherlands: Elsevier, 2019, pp. 247–272.
[53] R. Chatterjee, T. Maitra, S. K. H. Islam, M. M. Hassan, A. Alamri, G. Fortino, "A novel machine learning based feature selection for motor imagery EEG signal classification in Internet of medical things environment," Future Gener. Comput. Syst., vol. 98, pp. 419–434, Sep. 2019.
[54] R. Chatterjee, A. Datta, D. K. Sanyal, "Ensemble Learning Approach to Motor Imagery EEG Signal Classification," in Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, M. K. Kundu, Ed. Amsterdam, The Netherlands: Elsevier, 2019, pp. 183–208.
[55] R. Chatterjee, "Feature Extraction and Classification Techniques for EEG-based Brain-Computer Interface," Ph.D. dissertation, KIIT Univ., Bhubaneswar, India, 2019.
[56] A. Dewangan, R. Chatterjee, "Tourism recommendation using machine learning approach," in Progress Adv. Comput. Intell. Eng.: Proc. Int. Conf. Adv. Comput. Intell. Eng. (ICACIE), 2018, pp. 19–24.
[57] R. Chatterjee, A. Maity, R. Chatterjee, "Image Compression Using VQ for Lossy Compression," in Proc. Int. Conf. Emerg. Technol. Data Mining Inf. Secur. (IEMIS), 2018, pp. 3–8.
[58] A. Datta, R. Chatterjee, "Comparative Study of Different Ensemble Composition in EEG Signal Classification Problem," in Proc. Int. Conf. Emerg. Technol. Data Mining Inf. Secur. (IEMIS), 2018, pp. 30–35.
[59] R. Chatterjee, R. Chatterjee, "An overview of the emerging technology: Blockchain," in Proc. 3rd Int. Conf. Comput. Intell. Netw. (CINE), 2017, pp. 153–158.
[60] A. Datta, R. Chatterjee, D. K. Sanyal, D. Guha, "An ensemble classification approach to motor-imagery brain state discrimination problem," in Proc. Int. Conf. Infocom Technol. Unmanned Syst. (ICTUS), 2017, pp. 13–18.
[61] R. Chatterjee, T. Bandyopadhyay, D. K. Sanyal, D. Guha, "Dimensionality reduction of EEG signal using fuzzy discernibility matrix," in Proc. 10th Int. Conf. Human Syst. Interact. (HSI), 2017, pp. 131–136.
[62] R. Chatterjee, T. Bandyopadhyay, D. K. Sanyal, D. Guha, "Comparative Analysis of Feature Extraction Techniques in Motor-Imagery EEG Signal Classification," in Proc. Int. Conf. Smart Syst., Innov. Comput. (SSIC), 2017, pp. 41–46.
[63] R. Chatterjee, T. Bandyopadhyay, D. K. Sanyal, "Effects of Wavelets on Quality of Features in Motor-Imagery EEG Signal Classification," in Proc. IEEE Int. Conf. Wireless Commun., Signal Process. Netw. (WiSPNET), 2016, pp. 35–40.
[64] R. Chatterjee, D. Guha, D. K. Sanyal, S. N. Mohanty, "Discernibility Matrix based Dimensionality Reduction for EEG Signal," in Proc. 36th IEEE TENCON, Singapore, 2016, pp. 22–27.
[65] R. Chatterjee, T. Bandyopadhyay, "EEG based Motor Imagery Classification using SVM and MLP," in Proc. 2nd Int. Conf. Comput. Intell. Netw. (CINE), 2016, pp. 84–85.
[66] S. Sen, M. Das, R. Chatterjee, "Estimation of Incomplete Data in Mixed Dataset," in Proc. 4th Int. Conf. Adv. Comput., Netw., Informat. (ICACNI), 2016, pp. 1–6.
[67] S. Sen, M. Das, R. Chatterjee, "A Weighted kNN approach to estimate missing values," in Proc. 3rd Int. Conf. Signal Process. Integr. Netw. (SPIN), 2016, pp. 1–6.
[68] S. Dey, B. Jana, M. K. Gourisaria, S. N. Mohanty, R. Chatterjee, "Evaluation of Indian B2C E-Shopping Websites under Multi Criteria Decision-Making using Fuzzy Hybrid Technique," Int. J. Appl. Eng. Res., vol. 10, no. 9, pp. 24551–24580, 2015.
[69] R. Chatterjee, M. Das, "A Novel Physics Inspired Multi-objective Optimization Algorithm: Multiple Objective Gravitational Optimization," in Proc. Int. Conf. Comput. Intell. Netw. (CINE), 2015, pp. 1–6.
[70] A. Roy, R. Chatterjee, "Realizing New Hybrid Rough Fuzzy Association Rule Mining Algorithm (RFA) Over Apriori Algorithm," in Proc. Int. Conf. Intell. Comput., Commun. Devices (ICCD), 2014, pp. 1–6.
[71] S. Bandyopadhyay, D. Mukherjee, R. Chatterjee, "Design of two stage CMOS operational amplifier in 180nm technology with low power and high CMRR," Int. J. Recent Trends Eng. Technol., vol. 11, pp. 239–247, Jun. 2014.
[72] A. Roy, R. Chatterjee, "A survey on fuzzy association rule mining methodologies," IOSR J. Comput. Eng., vol. 15, no. 3, pp. 2278–0661, May 2013.
[73] R. Chatterjee, D. Mukherjee, "Fault Identification using Varying Weighted Sum Method in Proposed Multi Agent based Traffic Regulation and Automation System (MATRAS)," Int. J. Comput. Appl., vol. 975, pp. 8887–8892, 2013.
[74] D. Mukherjee, R. Chatterjee, "A Better Performance Analysis of Robust Fuzzy PI Controller With a Conventional Tuning Method and Its Performance Evaluation on a Servo Position Control System," in Proc. 2nd Michael Faraday IET India Summit (MFIIS), 2013, pp. 1–6.
[75] S. Gupta, R. Chatterjee, S. Mukhopadhyay, "Transaction and Performance analysis of Clinical Diagnosis System: A Novel Scheme using Multi Agent System," in Proc. Int. Conf. Recent Trends Inf. Technol. (ICRTIT), 2012, pp. 1–6.
[76] R. Chatterjee, M. Das, "Physics Inspired Optimization Algorithms," in Proc. Int. Symp. Devices, MEMS, Intell. Syst., 2011, pp. 1–6.
[77] R. Chatterjee, "Newtonian Law Inspired Optimization Techniques Based on Gravitational Search Algorithm," Ph.D. dissertation, KIIT Univ., Bhubaneswar, India, 2011.
[1] R. Chatterjee, S. Chatterjee, S. Samanta, S. Biswas, "AI Approaches to Investigate EEG Signal Classification for Cognitive Performance Assessment," in Proc. 6th Int. Conf. Comput. Intell. Netw. (CINE), 2024.
[2] R. Mukherjee, R. Dwivedi, N. D. Jana, R. Chatterjee, S. Ghosh, A. Dey, D. Nath, A. Bandyopadhyay, "An Intelligent CDS (Clinical Decision Support) Framework using Machine Learning Algorithms for Parkinson Disease Detection," in Preprint Research Square, Nov 2024, pp. 1–20.
[3] A. Kumar, U. Singh, R. Chatterjee, T. Bandyopadhyay, "Massimo: Public Queue Monitoring and Management using Mass-Spring Model," arXiv preprint arXiv:2410.16012, 2024.
[4] T. Bhandari, R. V. Romould, M. K. Gourisaria, V. Singh, R. Chatterjee, A. Bandyopadhyay, "Unveiling Machine Learning Paradigms for Robust Malware Detection in Personal Data Security," in Proc. 6th Int. Conf. Comput. Intell. Netw. (CCICT), 2024, pp. 1–6.
[5] R. Chatterjee, P. Bishwas, S. Chakrabarty, T. Bandyopadhyay, "South Asian Sounds: Audio Classification," in Proc. 4th Int. Conf. Comput., Commun., Control Autom. (C3IT), 2024, pp. 1–6.
[6] T. Acharjee, R. Chatterjee, "Wound Classification: Database Construction Through Image Processing and Region of Interest Detection," in Proc. 4th Int. Conf. Comput., Commun., Control Autom. (C3IT), 2024, pp. 1–6.
[7] S. Agarwal, A. Raj, A. Chowdhury, G. Aich, R. Chatterjee, K. Ghosh, "Investigating the impact of standard brain atlases and connectivity measures on the accuracy of ADHD detection from fMRI data using deep learning," Multimedia Tools Appl., vol. 83, no. 25, pp. 67023–67057, 2024.
[8] R. Chatterjee, A. Chatterjee, "Pose4gun: a pose-based machine learning approach to detect small firearms from visual media," Multimedia Tools Appl., vol. 83, no. 22, pp. 62209–62235, 2024.
[9] M. K. Gourisaria, A. V. Patel, R. Chatterjee, B. Sahoo, "Predicting the Survival Status of Patient after Bone Marrow Transplant Using Fuzzy Discernibility Matrix," in Proc. OPJU Int. Technol. Conf. Emerg. Technol. Sustain. World (OTCON), 2023, pp. 4–9.
[10] R. Chatterjee, B. Nath, M. K. Gourisaria, "Unlocking the Potential of NLP-Based Machine Learning for Efficient Document Classification," in Proc. IEEE 11th Region 10 Humanitarian Technol. Conf. (R10-HTC), 2023, pp. 163–168.
[11] R. Chatterjee, B. Nath, "Preserving Our Heritage: Buildings Deep Learning Solutions for Monitoring Cultural Heritage Structures Using Automated Crack Detection," in Proc. Int. Conf. Smart Syst.: Innov. Comput., 2023, pp. 253–267.
[12] M. K. Gourisaria, A. V. Patel, R. Chatterjee, V. Singh, "Transformer for Fire and Smoke Image," in Smart Systems: Innovations in Computing: Proc. SSIC, 2023, pp. 247–258.
[13] R. Chatterjee, C. Mukherjee, S. Chatterjee, B. Nath, "Latent Dirichlet Allocation for Topic Modeling and Intelligent Document Classification," in Proc. Int. Conf. Innov. Data Anal. (ICIDA), 2023, pp. 71–83.
[14] M. K. Gourisaria, A. V. Patel, R. Chatterjee, V. Singh, "EfficientViT: An Efficient Vision Transformer for Fire and Smoke Image Classification," in Proc. Int. Conf. Smart Syst.: Innov. Comput. (SSIC), 2023, pp. 247–258.
[15] M. K. Gourisaria, U. Singh, A. Arora, R. Chatterjee, "Keppler Red Giants Classification using a Machine learning approach," in Proc. OPJU Int. Technol. Conf. Emerg. Technol. Sustain. World (OTCON), 2023, pp. 1–6.
[16] M. K. Gourisaria, V. Singh, R. Chatterjee, S. K. Panda, M. R. Pradhan, B. Acharya, "PneuNetV1: A deep neural network for classification of pneumothorax using CXR images," IEEE Access, vol. 11, pp. 65028–65042, 2023.
[17] R. Chatterjee, A. Chatterjee, M. R. Pradhan, B. Acharya, T. Choudhury, "A deep learning-based efficient firearms monitoring technique for building secure smart cities," IEEE Access, vol. 11, pp. 37515–37524, 2023.
[18] R. Chatterjee, A. Chatterjee, S. K. H. Islam, M. K. Khan, "An object detection- based few-shot learning approach for multimedia quality assessment," Multimedia Syst., vol. 29, no. 5, pp. 2899–2912, Oct. 2023.
[19] D. Guha, R. Chatterjee, B. Sikdar, "Anomaly detection using LSTM-based variational autoencoder in unsupervised data in power grid," IEEE Syst. J., vol. 17, no. 3, pp. 4313–4323, Sep. 2023.
[20] R. Chatterjee, R. Halder, T. Maitra, S. Pani, "A computer vision-based perceived attention monitoring technique for smart teaching," Multimedia Tools Appl., vol. 82, no. 8, pp. 11523–11547, Mar. 2023.
[21] R. Chatterjee, O. Das, R. Kundu, S. Podder, "Machine Learning Inspired Smart Agriculture System with Crop Prediction," Int. J. Res. Appl. Sci. Eng. Technol., vol. 11, no. 5, pp. 1–6, 2023.
[22] R. Chatterjee, A. Chatterjee, S. K. H. Islam, "Deep learning techniques for observing the impact of the global warming from satellite images of water-bodies," Multimedia Tools Appl., vol. 81, no. 5, pp. 6115–6130, Mar. 2022.
[23] A. V. Patel, V. Singh, M. K. Gourisaria, R. Chatterjee, "A duplex method for prediction of concrete strength using dimensionality reduction," in Proc. IEEE 19th India Council Int. Conf. (INDICON), 2022, pp. 3–8.
[24] S. Mondal, S. Ghosh, A. Kumar, S. K. H. Islam, R. Chatterjee, "Spear Phishing Detection: An Ensemble Learning Approach," in Data Analytics, Computational Statistics, and Operations Research for Engineers and Data Scientists, S. K. Pani, Ed. Singapore: Springer, 2022, pp. 6–11.
[25] R. Chatterjee, S. Roy, S. Roy, "A Siamese Neural Network-Based Face Recognition from Masked Faces," in Proc. Int. Conf. Adv. Netw. Technol. Intell. Comput. (ANTIC), 2022, pp. 6–11.
[26] A. Biswas, S. Chakraborty, D. Deb, R. Chatterjee, "HRPro: A Machine Learning Approach for Recruitment Process Automation," in Proc. Mach. Intell. Data Sci. Appl. (MIDAS), 2022, pp. 1–6.
[27] A. Sah, R. Chatterjee, M. K. Gourisaria, "Machine learning approaches to assess mood of the news editorial," in Proc. IEEE Int. Conf. Electron., Comput. Commun. Technol. (CONECCT), 2022, pp. 6–11.
[28] R. Chatterjee, A. Chatterjee, S. Roy, M. K. Gourisaria, "A fast and effective machine learning approach for road cracks classification," in Proc. IEEE 19th India Council Int. Conf. (INDICON), 2022, pp. 1–6.
[29] R. Chatterjee, A. Chatterjee, S. K. H. Islam, "A Hand Gesture-Based Contact- less Interface for Electronic Health Records," in Proc. Int. Interdisciplinary Conf. Math., Eng. Bus. Manag., 2022, pp. 1–6.
[30] A. Arora, U. Singh, M. K. Gourisaria, R. Chatterjee, "Semantic Segmentation of Retinal Vessels using Deep Learning approach," in Proc. OITS Int. Conf. Inf. Technol. (OCIT), 2022, pp. 244–249.
[31] A. Arora, M. K. Gourisaria, R. Chatterjee, "Classification and analysis of dementia using machine learning algorithms," in Proc. IEEE Int. Conf. Electron., Comput. Commun. Technol. (CONECCT), 2022, pp. 12–17.
[32] S. Mazumdar, R. Chatterjee, "Deep learning approach for motor-imagery brain states discrimination problem," in Advances in Data Computing, Communication and Security: Proc. I3CS, 2021, pp. 2–7.
[33] R. Chatterjee, S. Roy, S. K. H. Islam, "Trident U-Net: an encoder fusion for improved biomedical image segmentation," in Bioengineering and Biomedical Signal and Image Processing, H. K. Manandhar, Ed. Cham, Switzerland: Springer, 2021, pp. 3–8.
[34] R. Chatterjee, D. K. Sanyal, A. Chatterjee, "Fuzzy-Discernibility Matrix-based an Efficient Feature Selection Technique for Improved Motor-Imagery EEG Signal Classification," bioRxiv, 2021. [Online]. Available: https://doi.org/10.1101/2021.03.24.436722
[35] R. Chatterjee, A. Datta, D. K. Sanyal, S. Banerjee, "Temporal window based feature extraction technique for motor-imagery EEG signal classification," bioRxiv, 2021. [Online]. Available: https://doi.org/10.1101/2021.03.19.436144
[36] A. Chowdhury, R. Chatterjee, G. Aich, K. Ghosh, "ADHDNet: A DNN based framework for efficient ADHD detection from fMRI dataset," in Proc. Int. Conf. Pattern Recognit. Mach. Intell. (PReMI), 2021, pp. 5–10.
[37] R. Chatterjee, A. Chatterjee, R. Halder, "An Efficient Pneumonia Detection from the Chest X-Ray Images," in Proc. MIDAS, 2021, pp. 779–789.
[38] R. Chatterjee, S. Roy, S. H. Islam, D. Samanta, "An AI approach to pose-based sports activity classification," in Proc. 8th Int. Conf. Signal Process. Integr. Netw. (SPIN), 2021, pp. 14–19.
[39] R. Chatterjee, A. Mondal, "Effects of different filters on text extractions from videos using tesseract," Int. J. Comput. Appl., vol. 975, pp. 8887–8892, 2021.
[40] R. Chatterjee, S. Mazumdar, R. S. Sherratt, R. Halder, T. Maitra, D. Giri, "Real- Time Speech Emotion Analysis for Smart Home Assistants," IEEE Trans. Consum. Electron., vol. 67, no. 1, pp. 68–76, Feb. 2021.
[41] K. Chatterjee, M. S. Obaidat, D. Samanta, B. Sadoun, S. K. H. Islam, "Classification of soil images using convolution neural networks," in Proc. Int. Conf. Commun., Comput., Cybersecurity, Inf. (CCCI), 2021, pp. 8–13.
[42] R. Chatterjee, A. Chatterjee, R. Halder, "Impact of Deep Learning on Arts and Archaeology: An Image Classification Point of View," in Proc. MIDAS, 2020, pp. 801–810.
[43] R. Chatterjee, R. Halder, "Deep Ensemble Learning-based Smart Teaching," IndiaRxiv, 2020. [Online]. Available: https://indiarxiv.org/re94u/
[44] R. Chatterjee, R. Halder, "Discrete Wavelet Transform for CNN-BiLSTM-based Violence Detection," in Proc. 2nd Int. Conf. Emerg. Trends Adv. Comput. (ICETAC), 2020, pp. 13–18.
[45] R. Halder, R. Chatterjee, "CNN-BiLSTM model for violence detection in smart surveillance," SN Comput. Sci., vol. 1, no. 4, pp. 201–210, Jul. 2020.
[46] R. Chatterjee, N. B. J. Naskar, D. K. Sanyal, "CELLULAR AUTOMATA- BASED PATTERN CLASSIFIER FOR BRAIN-STATE DISCRIMINATION PROBLEM," ICIC-Express Lett., vol. 14, no. 7, pp. 721–729, Jul. 2020.
[47] R. Chatterjee, A. Chatterjee, "Orthogonal matching pursuit-based feature selection for motor-imagery EEG signal classification," Int. J. Comput. Appl. Technol., vol. 64, no. 4, pp. 403–414, 2020.
[48] R. Chatterjee, D. K. Sanyal, "Study of different filter bank approaches in motor- imagery EEG signal classification," in Smart Healthcare Analytics in IoT Enabled Environment, P. K. Pattnaik, Ed. Cham, Switzerland: Springer, 2020, pp. 173–190.
[49] R. Chatterjee, R. Halder, "Deep learning-based smart attendance monitoring system," in Proc. Global AI Congr., 2019, pp. 101–115.
[50] R. Palit, R. Chatterjee, "Recommender System using K-Nearest Neighbors and Singular Value Decomposition Algorithms: A Hybrid Approach," in Proc. Int. Conf. Comput. Appl. Netw. (ICCAN), 2019, pp. 4–9.
[51] S. K. Pani, R. Chatterjee, N. R. Mahapatra, "Towards Trusted, Transparent and Motivational Professional Education System Through Blockchain," Int. J. Inf. Syst. Soc. Change, vol. 10, no. 2, pp. 1–15, 2019.
[52] D. K. Sanyal, S. Chattopadhyay, R. Chatterjee, "Figure retrieval from biomedical literature: An overview of techniques, tools, and challenges," in Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, M. K. Kundu, Ed. Amsterdam, The Netherlands: Elsevier, 2019, pp. 247–272.
[53] R. Chatterjee, T. Maitra, S. K. H. Islam, M. M. Hassan, A. Alamri, G. Fortino, "A novel machine learning based feature selection for motor imagery EEG signal classification in Internet of medical things environment," Future Gener. Comput. Syst., vol. 98, pp. 419–434, Sep. 2019.
[54] R. Chatterjee, A. Datta, D. K. Sanyal, "Ensemble Learning Approach to Motor Imagery EEG Signal Classification," in Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, M. K. Kundu, Ed. Amsterdam, The Netherlands: Elsevier, 2019, pp. 183–208.
[55] R. Chatterjee, "Feature Extraction and Classification Techniques for EEG-based Brain-Computer Interface," Ph.D. dissertation, KIIT Univ., Bhubaneswar, India, 2019.
[56] A. Dewangan, R. Chatterjee, "Tourism recommendation using machine learning approach," in Progress Adv. Comput. Intell. Eng.: Proc. Int. Conf. Adv. Comput. Intell. Eng. (ICACIE), 2018, pp. 19–24.
[57] R. Chatterjee, A. Maity, R. Chatterjee, "Image Compression Using VQ for Lossy Compression," in Proc. Int. Conf. Emerg. Technol. Data Mining Inf. Secur. (IEMIS), 2018, pp. 3–8.
[58] A. Datta, R. Chatterjee, "Comparative Study of Different Ensemble Composition in EEG Signal Classification Problem," in Proc. Int. Conf. Emerg. Technol. Data Mining Inf. Secur. (IEMIS), 2018, pp. 30–35.
[59] R. Chatterjee, R. Chatterjee, "An overview of the emerging technology: Blockchain," in Proc. 3rd Int. Conf. Comput. Intell. Netw. (CINE), 2017, pp. 153–158.
[60] A. Datta, R. Chatterjee, D. K. Sanyal, D. Guha, "An ensemble classification approach to motor-imagery brain state discrimination problem," in Proc. Int. Conf. Infocom Technol. Unmanned Syst. (ICTUS), 2017, pp. 13–18.
[61] R. Chatterjee, T. Bandyopadhyay, D. K. Sanyal, D. Guha, "Dimensionality reduction of EEG signal using fuzzy discernibility matrix," in Proc. 10th Int. Conf. Human Syst. Interact. (HSI), 2017, pp. 131–136.
[62] R. Chatterjee, T. Bandyopadhyay, D. K. Sanyal, D. Guha, "Comparative Analysis of Feature Extraction Techniques in Motor-Imagery EEG Signal Classification," in Proc. Int. Conf. Smart Syst., Innov. Comput. (SSIC), 2017, pp. 41–46.
[63] R. Chatterjee, T. Bandyopadhyay, D. K. Sanyal, "Effects of Wavelets on Quality of Features in Motor-Imagery EEG Signal Classification," in Proc. IEEE Int. Conf. Wireless Commun., Signal Process. Netw. (WiSPNET), 2016, pp. 35–40.
[64] R. Chatterjee, D. Guha, D. K. Sanyal, S. N. Mohanty, "Discernibility Matrix based Dimensionality Reduction for EEG Signal," in Proc. 36th IEEE TENCON, Singapore, 2016, pp. 22–27.
[65] R. Chatterjee, T. Bandyopadhyay, "EEG based Motor Imagery Classification using SVM and MLP," in Proc. 2nd Int. Conf. Comput. Intell. Netw. (CINE), 2016, pp. 84–85.
[66] S. Sen, M. Das, R. Chatterjee, "Estimation of Incomplete Data in Mixed Dataset," in Proc. 4th Int. Conf. Adv. Comput., Netw., Informat. (ICACNI), 2016, pp. 1–6.
[67] S. Sen, M. Das, R. Chatterjee, "A Weighted kNN approach to estimate missing values," in Proc. 3rd Int. Conf. Signal Process. Integr. Netw. (SPIN), 2016, pp. 1–6.
[68] S. Dey, B. Jana, M. K. Gourisaria, S. N. Mohanty, R. Chatterjee, "Evaluation of Indian B2C E-Shopping Websites under Multi Criteria Decision-Making using Fuzzy Hybrid Technique," Int. J. Appl. Eng. Res., vol. 10, no. 9, pp. 24551–24580, 2015.
[69] R. Chatterjee, M. Das, "A Novel Physics Inspired Multi-objective Optimization Algorithm: Multiple Objective Gravitational Optimization," in Proc. Int. Conf. Comput. Intell. Netw. (CINE), 2015, pp. 1–6.
[70] A. Roy, R. Chatterjee, "Realizing New Hybrid Rough Fuzzy Association Rule Mining Algorithm (RFA) Over Apriori Algorithm," in Proc. Int. Conf. Intell. Comput., Commun. Devices (ICCD), 2014, pp. 1–6.
[71] S. Bandyopadhyay, D. Mukherjee, R. Chatterjee, "Design of two stage CMOS operational amplifier in 180nm technology with low power and high CMRR," Int. J. Recent Trends Eng. Technol., vol. 11, pp. 239–247, Jun. 2014.
[72] A. Roy, R. Chatterjee, "A survey on fuzzy association rule mining methodologies," IOSR J. Comput. Eng., vol. 15, no. 3, pp. 2278–0661, May 2013.
[73] R. Chatterjee, D. Mukherjee, "Fault Identification using Varying Weighted Sum Method in Proposed Multi Agent based Traffic Regulation and Automation System (MATRAS)," Int. J. Comput. Appl., vol. 975, pp. 8887–8892, 2013.
[74] D. Mukherjee, R. Chatterjee, "A Better Performance Analysis of Robust Fuzzy PI Controller With a Conventional Tuning Method and Its Performance Evaluation on a Servo Position Control System," in Proc. 2nd Michael Faraday IET India Summit (MFIIS), 2013, pp. 1–6.
[75] S. Gupta, R. Chatterjee, S. Mukhopadhyay, "Transaction and Performance analysis of Clinical Diagnosis System: A Novel Scheme using Multi Agent System," in Proc. Int. Conf. Recent Trends Inf. Technol. (ICRTIT), 2012, pp. 1–6.
[76] R. Chatterjee, M. Das, "Physics Inspired Optimization Algorithms," in Proc. Int. Symp. Devices, MEMS, Intell. Syst., 2011, pp. 1–6.
[77] R. Chatterjee, "Newtonian Law Inspired Optimization Techniques Based on Gravitational Search Algorithm," Ph.D. dissertation, KIIT Univ., Bhubaneswar, India, 2011.