Dr. Debashree Devi Assistant Professor (CSE)
PhD (NIT Silchar) Department of Computer Science and Engineering- debashree@iiitg.ac.in
Joined the Institute in January 2021
About
Hello, welcome to my home page. I am an Assistant Professor in the Department of Computer Science & Engineering at Indian Institute of Information Technology, Guwahati. I joined IIITG in January, 2021. Prior to that, I completed my PhD from National Institute of Technology Silchar in Computer Science & Engineering in the year 2020.
Research Interests
Machine Learning, Deep learning, Medical and Remote sensing Image analysis.
Teaching
At IIITG, I have taught the following courses:
Human Computer Interaction(CS682)
Artificial Intelligence (CS631)
Deep Learning (CS471)
Machine Learning (CS306)
Data Analytics (CS401/ CS634)
Reinforcement Learning (CS481/ CS656)
Publication
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Conference
- A. K. Dasari, S.K. Biswas, D.M. Thounaojam, D. Devi, B. Purkayastha, "Ensemble Learning Techniques and Their Applications: An Overview", International Conference on Communications and Cyber Physical Engineering, (2023), pages. 897-912, Springer Nature Singapore
- D. Devi, S.K. Biswas, B. Purkayastha, "A Review on Solution to Class Imbalance Problem: Undersampling Approaches", ComPE-2020, (2020), NEHU, Shillong
- D. Devi, S.K. Biswas, B. Purkayastha, "A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection", IEEE-ICCCNT 2019, (2019), IIT Kharagpur
- D. Devi, S.K. Biswas, B. Purkayastha, "A Boosting based Adaptive Oversampling Technique for treatment of Class Imbalance", 8th IEEE International Conference on Computer Communications and Informatics, (2019), ICCCI’19
Journal
- D. Devi, S.K. Biswas, B. Purkayastha, "Correlation-based Oversampling aided Cost Sensitive Ensemble learning technique for Treatment of Class Imbalance", Journal of Experimental & Theoretical Artificial Intelligence,vol. 34, (2021), pages. 143-174, Taylor and Francis
- D. Devi, S. Namasudra, S. Kadry, "A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem", International Journal of Data Warehousing and Mining (IJDWM),vol. 16, (2020), pages. .60-86, IGI Global
- D. Devi, S.K. Biswas, B. Purkayastha, "Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique", Connection Science,vol. 31, (2019), pages. 105-142, Taylor and Francis
- S. Kumar, S.K. Biswas, D. Devi, "TLUSBoost algorithm: A boosting solution for class imbalance problem", Soft Computing,vol. 23, (2019), pages. 0755-10767, Springer
- D. Devi, S.K. Biswas, B. Purkayastha, "Redundancy-driven modified Tomek-link based Undersampling: A Solution to Class Imbalance", Pattern Recognition Letter,vol. 93, (2017), pages. 3-12, Elsevier
- S.K. Biswas, D. Devi, M. Chakraborty,, "A Hybrid Case-based Reasoning Model for Classification in Internet of Things (IoT) Environment", Journal of Organizational and End-User Computing,vol. 30, (2017), pages. 104-122, IGI Global
- S. K. Biswas, M. Chakraborty, H. R. Singh, D. Devi, B. Purkayastha, A.K. Das, "Hybrid case-based reasoning system by cost-sensitive neural network for classification", Soft Computing,vol. 21, (2017), pages. 7579-7596, Springer