Prof. Seba Susan

Information Technology (IT)

Phone:011-27294672
Email: sebasusan at dce dot ac dot in

Qualifications

Ph.D (IIT Delhi)

Areas of Interest

Soft Computing, Deep learning, Machine learning, Computer Vision, Natural Language Processing, Data Mining, Biomedical and Bioinformatics

 

Designation:  Professor, Department of Information Technology

 

Honors/Distinctions

Stanford's Top 2% scientists in the world: 2024

DTU (Commendable and Premier) Research Excellence Awards: [2017-2023]

Wiley - Top cited paper award [2021-2022] for the paper: "The balancing trick: Optimized sampling of imbalanced datasets—A brief survey of the recent State of the Art"

Best student paper award : FLAIRS 2022

Best paper award : PMDB 2022 workshop of DASFAA 2022 conference

Keynote speaker: International conference on Computer Vision and Robotics (CVR) 2021

Top 241 performers out of 5308 award in ICT for Education & Pedagogy program 2017 (IIT Bombay),

Biography included in the Marquis Who's Who of the World 2016 (33rd ed.),

Elsevier Outstanding reviewer of the year award:  2015

 

Broad Research Areas:

Soft Computing, Deep learning, Machine learning, Computer Vision, Natural Language Processing, Data Mining, Biomedical and Bioinformatics

 

Area of Specialization:

Design and development of soft computing tools for pattern recognition in various domains

 

Undergraduate courses currently teaching:

Data Science and Visualization:- B.Tech (IT), Third semester

Compiler Design:- B.Tech (IT),  Sixth semester

Natural Language Processing (NLP) IT-425:- B.Tech Departmental Elective (Minor in AI & ML), Fifth/Seventh semester

Speech & Natural Language Understanding IT-430:- B.Tech Departmental Elective (Minor in AI & ML), Sixth/Eighth semester

 

Postgraduate courses currently teaching:

Fundamentals of data science and machine learning:- M.Tech by research (Data science) First semester

 

Number of Ph.D thesis guided:  02

Number of  ongoing Ph.Ds:  05

Number of M.Tech thesis guided:  26

Number of B.Tech projects guided:  39

 

Faculty Workshops Conducted:  May 1-5 2018: (Feature Engineering for Pattern Recognition) FEPR 2018

                                                        June 10-14 2019: (Machine Learning for Pattern Recognition) MLPR 2019

Upcoming Workshops: To be announced....................

Link to Google scholar profile

Link to DBLP profile

Link to researchgate profile (for more details of publications and access to papers)

 

List of Publications: (Complete list of publications)

Number of publications (2007-2024): 46 journals & 89 conferences & 1 Book Chapter

Journals (Last five years)

  1. Susan, Seba. "Neuroscientific insights about computer vision models: a concise review." Biological Cybernetics (2024): 1-18.      (Publisher: Springer Online View)
  2. Holker, Ruchi, and Seba Susan. "Linear Monotonic Inter-electrode Associations as Quantitative EEG for Alcoholism Diagnosis." International Journal of Computational Intelligence Systems 17, no. 1 (2024): 250.    (Publisher: Springer Online View)
  3. Susan, S., Sharma, M., & Choudhary, G. (2024). Uniqueness meets Semantics: A Novel Semantically Meaningful Bag-of-Words Approach for Matching Resumes to Job Profiles. Inteligencia Artificial, 27(74), 117–132. https://doi.org/10.4114/intartif.vol27iss74pp117-132 (Publisher: Iberoamerican Society of Artificial Intelligence Open Access Paper - Download)
  4. Susan, Seba, and Maduri Tuteja. "Feature Engineering Versus Deep Learning for Scene Recognition: A Brief Survey." International Journal of Image and Graphics (2024): 2550054.   (Publisher: World Scientific)
  5. Saini, Manisha, and Seba Susan. Tackling class imbalance in computer vision: a contemporary review. Artificial Intelligence Review (2023).  (Publisher: Springer Online View)
  6. Karotia, Akanksha, and Seba Susan. CovSumm: an unsupervised transformer-cum-graph-based hybrid document summarization model for CORD-19. J Supercomput (2023).    (Publisher: Springer Online View)
  7. Susan, Seba, Dhaarna Sethi, & Kriti Arora. Cross-domain learning for pulmonary nodule detection using Gestalt principle of similarity. Soft Computing (2023).    (Publisher: Springer Online View)
  8. Bansal, A., Choudhry, A., Sharma, A., & Susan, S. (2023). ADAPTATION OF DOMAIN-SPECIFIC TRANSFORMER MODELS WITH TEXT OVERSAMPLING FOR SENTIMENT ANALYSIS OF SOCIAL MEDIA POSTS ON COVID-19 VACCINE. Computer Science, 24(2). (Publisher: AGH University of Science and Technology, Krakow Poland Open Access Paper - Download)
  9. Singh, Yashpal, and Seba Susan. Lung cancer subtyping from gene expression data using general and enhanced Fuzzy min–max neural networks. Engineering Reports. 2023; e12663.   (Publisher: Wiley Open Access Paper - Download)
  10. Mehra, Sunakshi, and Seba Susan. "Deep fusion framework for speech command recognition using acoustic and linguistic features." Multimedia Tools and Applications (2023): 1-25.   (Publisher: Springer Online View)
  11. Saini, Manisha, and Seba Susan. "VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 20, no. 1, pp. 752-762, 1 Jan.-Feb. 2023.  (Publisher: IEEE Preprint download)     [Link to CODE]
  12. Saini, Manisha, and Seba Susan. "Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets." Computers in Biology and Medicine 149 (2022): 105989.  (Publisher: Elsevier)
  13. Vashishtha, Srishti, and Seba Susan. "Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis." Soft Computing 26, no. 9 (2022): 4487-4507.  (Publisher: Springer Online View)
  14. Dhanda A, Goel R, Vashisht S and Susan S. Hindi Conversational Agents for Mental Health Assistance. International Journal of Applied Research on Information Technology and Computing (IJARITAC) 2021; 12(1- 3): 12-20
  15. Kaushik, Ashu, and Seba Susan. "TWO-WAY METRIC LEARNING WITH MAJORITY AND MINORITY SUBSETS FOR CLASSIFICATION OF LARGE EXTREMELY IMBALANCED FACE DATASET." Jordanian Journal of Computers and Information Technology (JJCIT) 7, no. 04 (2021).  (Open Access Paper- Download)
  16. Susan, Seba, and Jatin Malhotra. "Learning image by-parts using early and late fusion of auto-encoder features." Multimedia Tools and Applications 80, no. 19 (2021): 29601-29615.   (Publisher: Springer Online View)  [Link to CODE]
  17. Kumar, Naresh, and Seba Susan. "Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19." Applied Soft Computing 110 (2021): 107611.    (Publisher: Elsevier)
  18. Saini, Manisha, and Seba Susan. "Bag-of-Visual-Words codebook generation using deep features for effective classification of imbalanced multi-class image datasets." Multimedia Tools and Applications 80, no. 14 (2021): 20821-20847.   (Publisher: Springer Online View)
  19. Susan, Seba, and Amitesh Kumar. "The balancing trick: Optimized sampling of imbalanced datasets—A brief survey of the recent State of the Art." Engineering Reports 3, no. 4 (2021): e12298. (Publisher: Wiley Open Access Paper - Download)  [WILEY- TOP CITED ARTICLE 2021-22]
  20. Holker, Ruchi, and Seba Susan. "Neuroscience-Inspired Parameter Selection of Spiking Neuron Using Hodgkin Huxley Model." International Journal of Software Science and Computational Intelligence (IJSSCI) 13, no. 2 (2021): 89-106.    (Publisher: IGI Global)
  21. Susan, Seba, and Aparna Bhutani. "Incorporating Teacher’s Preferences and Student Time Management in University Course Timetabling." International Journal of Computer Information Systems and Industrial Management Applications 13 (2021): 1-9.    (Publisher: Mirlabs Open Access Paper - Download)
  22. Vashishtha, Srishti, and Seba Susan. "Highlighting keyphrases using senti-scoring and fuzzy entropy for unsupervised sentiment analysis." Expert Systems with Applications 169 (2021): 114323.   (Publisher: Elsevier)
  23. Susan, Seba, and K. M. Rachna Devi. "Text area segmentation from document images by novel adaptive thresholding and template matching using texture cues." Pattern Analysis and Applications 23, no. 2 (2020): 869-881.   (Publisher: Spinger Online View)    [Link to CODE]
  24. Susan, Seba, Rohit Ranjan, Udyant Taluja, Shivang Rai, and Pranav Agarwal. "Global-best optimization of ANN trained by PSO using the non-extensive cross-entropy with Gaussian gain." Soft Computing 24, no. 23 (2020): 18219-18231.    (Publisher:  Springer Online View)     [Link to CODE]
  25. Vashishtha, Srishti, and Seba Susan. "Sentiment Cognition from Words Shortlisted by Fuzzy Entropy." IEEE Transactions on Cognitive and Developmental Systems 12, no. 3 (2020): 541-550.  (Publisher: IEEE)   [Link to CODE]
  26. Susan, Seba, and Jatin Malhotra. "Recognising Devanagari Script by Deep Structure Learning of Image Quadrants." DESIDOC Journal of Library & Information Technology 40, no. 5 (2020): 268-271.  (Publisher: DRDO Open Access Paper- Download)
  27. Saini, Manisha, and Seba Susan. "Deep transfer with minority data augmentation for imbalanced breast cancer dataset." Applied Soft Computing 97 (2020): 106759. (Publisher: Elsevier)  
  28. Vashishtha, Srishti, and Seba Susan. "Fuzzy rule based unsupervised sentiment analysis from social media posts." Expert Systems with Applications 138 (2019): 112834.  (Publisher: Elsevier)   [Link to CODE]
  29. Susan, Seba, and Madasu Hanmandlu. "Smaller feature subset selection for real-world datasets using a new mutual information with Gaussian gain." Multidimensional Systems and Signal Processing 30, no. 3 (2019): 1469-1488.   (Publisher: Springer Online View)    [Link to CODE]
  30. Susan, Seba, Prachi Agrawal, Minni Mittal, and Srishti Bansal. "New shape descriptor in the context of edge continuity." CAAI Transactions on Intelligence Technology 4, no. 2 (2019): 101-109.  (Publisher:  IET Open Access Paper- Download)   [Link to CODE]
  31. Susan, Seba, and Juli Keshari. "Finding significant keywords for document databases by two-phase Maximum Entropy Partitioning." Pattern Recognition Letters 125 (2019): 195-205.  (Publisher: Elsevier)     [Link to CODE]
  32. Susan, Seba, and Amitesh Kumar. "SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets." Applied Soft Computing 78 (2019): 141-149.  (Publisher: Elsevier)    [Link to CODE]

Book Chapter

Bansal, Anmol, Arjun Choudhry, Anubhav Sharma, and Seba Susan. "Sentiment and Word Cloud Analysis of Tweets Related to COVID-19 Vaccines before, during, and after the Second Wave in India." In Emerging Topics in Pattern Recognition and Artificial Intelligence, pp. 229-257. 2025.

Conferences (Last five years)

  1. Ray, Santosh Kumar, and Seba Susan. "Performance Analysis of Online Machine Learning Frameworks for Anomaly Detection in IoT Data Streams." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2024.
  2. Barman, Tamal, and Seba Susan. "Multi-Label Remote Sensing Image Classification using MobileNetV2." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-4. IEEE, 2024.
  3. Chandra, Lakshay, Dhruv Kumar, Krishan Kant, and Seba Susan. "A Study of Social Biases in Small Language Models and Mitigation Strategies." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-5. IEEE, 2024.
  4. Chandra, Lakshay, Seba Susan, Dhruv Kumar, and Krishan Kant. "Unveiling Toxic Tendencies of Small Language Models in Unconstrained Generation Tasks." In 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1-6. IEEE, 2024.
  5. Karotia, Akanksha, and Seba Susan. "BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation." In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, pp. 762-768. 2024.    (ACL 2024 - Open Access Paper- Download)
  6. N. Kumar and S. Susan, "Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10308066.
  7. P. K. Singh and S. Susan, "Transfer Learning using Very Deep Pre-Trained Models for Food Image Classification," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6, doi: 10.1109/ICCCNT56998.2023.10307479.
  8. Agarwal, Ashi, and Seba Susan, "Emotion Recognition from Masked Faces using Inception-v3," 2023 5th International Conference on Recent Advances in Information Technology (RAIT), Dhanbad, India, 2023, pp. 1-6, doi: 10.1109/RAIT57693.2023.10126777.
  9. Karotia, Akanksha, and Seba Susan. (2023). Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization Model. In: Abraham, A., Hong, TP., Kotecha, K., Ma, K., Manghirmalani Mishra, P., Gandhi, N. (eds) Hybrid Intelligent Systems. HIS 2022. Lecture Notes in Networks and Systems, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-031-27409-1_48  [Link to CODE]
  10. Singh, Shrutikirti, and Seba Susan. "Healthcare Question–Answering System: Trends and Perspectives." In Proceedings of the International Health Informatics Conference: IHIC 2022, pp. 239-249. Singapore: Springer Nature Singapore, 2023.
  11. Singh, Shrutikirti, and Seba Susan. "Covid-19 Question-Answering System Based on Semantic Similarity." In Proceedings of the International Health Informatics Conference: IHIC 2022, pp. 323-329. Singapore: Springer Nature Singapore, 2023.
  12. Sharma, Muskan, Gargi Choudhary, and Seba Susan. "Resume Classification using Elite Bag-of-Words Approach." In 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 1409-1413. IEEE, 2023.    [Link to CODE]
  13. Mehra, Sunakshi, and Seba Susan. "Early Fusion of Phone Embeddings for Recognition of Low-Resourced Accented Speech." In 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST), pp. 1-5. IEEE, 2022.
  14. Saini, Manisha, and Seba Susan. "Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning." In 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1-6. IEEE, 2022.  (Link to CODE)
  15. Singh, Yashpal, and Seba Susan. "SMOTE-LASSO-DeepNet Framework for Cancer Subtyping from Gene Expression Data." In 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1-6. IEEE, 2022.  
  16. Damle, Vikas P., and Seba Susan. "Dynamic Algorithm for Path Planning using A-Star with Distance Constraint." In 2022 2nd International Conference on Intelligent Technologies (CONIT), pp. 1-5. IEEE, 2022.
  17. Holker, Ruchi, and Seba Susan. "Computer-Aided Diagnosis Framework for ADHD Detection Using Quantitative EEG." In International Conference on Brain Informatics, pp. 229-240. Springer, Cham, 2022.
  18. Susan, Seba, and Ashu Kaushik. "Localized Metric Learning for Large Multi-class Extremely Imbalanced Face Database." In International Conference on Database Systems for Advanced Applications, pp. 64-78. Springer, Cham, 2022.       [BEST PAPER AWARD IN THE PMDB 2022 WORKSHOP OF DASFAA 2022]
  19. Raj, Anshula, and Seba Susan. "Clustering Analysis for Newsgroup Classification." Data Engineering and Intelligent Computing: Proceedings of 5th ICICC 2021, Volume 1 (2021): 271.
  20. Singh, Yashpal, and Seba Susan. "Optimal Gene Selection and Classification of Microarray Data Using Fuzzy Min-Max Neural Network with LASSO." In International Conference on Intelligent and Fuzzy Systems, pp. 777-784. Springer, Cham, 2022.
  21. Sharma, Anubhav, Seba Susan, Anmol Bansal, and Arjun Choudhry. "Dynamic Topic Modeling of Covid-19 Vaccine-Related Tweets." In 2022 the 5th International Conference on Data Storage and Data Engineering, pp. 79-84. 2022.
  22. Bansal, Anmol, Seba Susan, Arjun Choudhry, and Anubhav Sharma. "Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet." In International Conference on Pattern Recognition and Artificial Intelligence, pp. 443-454. Springer, Cham, 2022.
  23. Bisht, Kritarth, and Seba Susan. "v-TCM: vertical-aware transformer click model for web search." In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, pp. 1917-1920. 2022.
  24. Choudhry, Arjun, Seba Susan, Anmol Bansal, and Anubhav Sharma. "TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling." In The International FLAIRS Conference Proceedings, vol. 35. 2022.      https://doi.org/10.32473/flairs.v35i.130676   (Open Access Paper - Download)    (Link to CODE)    [BEST STUDENT PAPER AWARD]
  25. Ray, Santosh Kumar, and Seba Susan. "Performance Evaluation using Online Machine Learning Packages for Streaming Data." In 2022 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-6. IEEE, 2022.
  26. Goel, Raman, Seba Susan, Sachin Vashisht, and Armaan Dhanda. "Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation." In 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 1-6. IEEE, 2021.     (Link to CODE)
  27. Bisht, Kritarth, and Seba Susan. "Weighted Ensemble of Neural and Probabilistic Graphical Models for Click Prediction." In 2021 the 5th International Conference on Information System and Data Mining, pp. 145-150. 2021.
  28. Kaushik, Ashu, and Seba Susan. "Metric Learning with Deep Features for Highly Imbalanced Face Dataset." In International Conference on Innovative Computing and Communications, pp. 639-646. Springer, Singapore, 2022.
  29. Holker, Ruchi, and Seba Susan. "Quantitative EEG Feature Selection by MajorityVoting for Alcohol Use Disorder Detection." In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 1-4. IEEE, 2021.
  30. Mehra, Sunakshi, and Seba Susan. "Improving Word Recognition in Speech Transcriptions by Decision-Level Fusion of Stemming and Two-Way Phoneme Pruning." In International Advanced Computing Conference, pp. 256-266. Springer, Singapore, 2020.  [Arxiv paper download]
  31. Jain, Anmol, Aishwary Kumar, and Seba Susan. "Evaluating Deep Neural Network Ensembles by Majority Voting Cum Meta-Learning Scheme." In Soft Computing and Signal Processing, pp. 29-37. Springer, Singapore, 2022.      [Arxiv paper download]
  32. Arora, Kartik, Ajul Raj, Arun Goel, and Seba Susan. "A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning." In Soft Computing and Signal Processing, pp. 51-59. Springer, Singapore, 2022.     [Arxiv paper download]     [Link to CODE]
  33. Kumar, Manish, and Seba Susan. "Exploration and Implementation of RSA-KEM Algorithm." In Soft Computing for Security Applications, pp. 161-179. Springer, Singapore, 2022.
  34. Singh, Satyajeet, Sandeep Yadav, Antoreep Jana, and Seba Susan. "Shadow Detection Using DenseUNet." In Emerging Technologies in Data Mining and Information Security, pp. 159-168. Springer, Singapore, 2021.
  35. Mallick, Ritam, Seba Susan, Vaibhaw Agrawal, Rizul Garg, and Prateek Rawal. "Context-and sequence-aware convolutional recurrent encoder for neural machine translation." In Proceedings of the 36th Annual ACM Symposium on Applied Computing, pp. 853-856. 2021.  [Arxiv paper download]
  36. Anand, Sukhad, Seba Susan, Shreshtha Aggarwal, Shubham Aggarwal, and Rajat Singla. "Scene Text Recognition in the Wild with Motion Deblurring Using Deep Networks." In International Conference on Computer Vision and Image Processing, pp. 93-103. Springer, Singapore, 2020.
  37. Goel, Raman, Sachin Vashisht, Armaan Dhanda, and Seba Susan. "An Empathetic Conversational Agent with Attentional Mechanism." In 2021 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-4. IEEE, 2021.
  38. Kalapala, Limysh, Harshit Yadav, Himanshu Kharwar, and Seba Susan. "Facial Expression Recognition from 3D Facial Landmarks Reconstructed from Images." In 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), pp. 1-5. IEEE, 2020.
  39. Ghosh, Mainak, Kirtika Gupta, and Seba Susan. "Aspect-Based Unsupervised Negative Sentiment Analysis." In Intelligent Data Communication Technologies and Internet of Things, pp. 335-344. Springer, Singapore, 2021.   [Link to CODE]
  40. Susan, Seba, Aishwary Kumar, and Anmol Jain. "Evaluating Heterogeneous Ensembles with Boosting Meta-Learner." In Inventive Communication and Computational Technologies, pp. 699-710. Springer, Singapore, 2021.
  41. Susan, Seba, and Amitesh Kumar. "DST-ML-EkNN: data space transformation with metric learning and elite k-nearest neighbor cluster formation for classification of imbalanced datasets." In Advances in Artificial Intelligence and Data Engineering, pp. 319-328. Springer, Singapore, 2021.  [Link to CODE]
  42. Susan, Seba, Dhaarna Sethi, and Kriti Arora. "CW-CAE: pulmonary nodule detection from imbalanced dataset using class-weighted convolutional autoencoder." In International Conference on innovative computing and communications, pp. 825-833. Springer, Singapore, 2021.
  43. Yadav, Sandeep, Satyajeet Singh, Antoreep Jana, and Seba Susan. "Shadow Detection using GAN with Residual CNN Discriminator." In 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), pp. 198-203. IEEE, 2020.
  44. Sethi, Dhaarna, Kriti Arora, and Seba Susan. "Transfer Learning by Deep Tuning of Pre-trained Networks for Pulmonary Nodule Detection." In 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), pp. 168-173. IEEE, 2020.
  45. Tripathi, Mayank, Divyanshu Singh, and Seba Susan. "Speaker Recognition using SincNet and X-Vector Fusion." In International Conference on Artificial Intelligence and Soft Computing, pp. 252-260. Springer, Cham, 2020.   [Arxiv paper]
  46. Susan, Seba, and Ashu Kaushik. "Weakly supervised metric learning with majority classes for large imbalanced image dataset." In Proceedings of the 2020 the 4th International Conference on Big Data and Internet of Things, pp. 16-19. 2020.
  47. Vashishtha, Srishti, and Seba Susan. "Unsupervised Fuzzy Inference System for Speech Emotion Recognition using audio and text cues (Workshop Paper)." In 2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), pp. 394-403. IEEE, 2020.
  48. Kumar, Naresh, and Seba Susan. "COVID-19 Pandemic Prediction using Time Series Forecasting Models." In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2020.  [Arxiv paper download]
  49. Vashishtha, Srishti, and Seba Susan. "Fuzzy Interpretation of Word Polarity Scores for Unsupervised Sentiment Analysis." In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2020.  [Link to CODE]
  50. Susan, Seba, and Jatin Malhotra. "Learning Interpretable Hidden State Structures for Handwritten Numeral Recognition." In 2020 4th International Conference on Computational Intelligence and Networks (CINE), pp. 1-6. IEEE, 2020.
  51. Vashishtha, Srishti, and Seba Susan. "Inferring Sentiments from Supervised Classification of Text and Speech cues using Fuzzy Rules." Procedia Computer Science 167 (2020): 1370-1379.    (Open Access paper)     [Link to CODE]
  52. Susan, Seba, and Jatin Malhotra. "CNN Pre-initialization by Minimalistic Part-Learning for Handwritten Numeral Recognition." In International Conference on Mining Intelligence and Knowledge Exploration, pp. 320-329. Springer, Cham, 2019.      [Link to CODE]
  53. Susan, Seba, Shambhavi Shinde, and Surbhi Batra. "Vegetation-Specific Hyperspectral Band Selection for Binary-to-Multiclass Classification." In 2019 IEEE 16th India Council International Conference (INDICON), pp. 1-4. IEEE, 2019.
  54. Susan, Seba, and Aparna Bhutani. "A Novel Memetic Algorithm Incorporating Greedy Stochastic Local Search Mutation for Course Scheduling." In 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), pp. 254-259. IEEE, 2019.
  55. Susan, Seba, Ankur Agarwal, Chetan Gulati, Sunpreet Singh, and Vaibhav Chauhan. "Human Attention Span Modeling using 2D Visualization Plots for Gaze Progression and Gaze Sustenance." In Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality, pp. 42-46. ACM, 2019.
  56. Susan, Seba, and Amitesh Kumar. "Learning Data Space Transformation Matrix from Pruned Imbalanced Datasets for Nearest Neighbor Classification." In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 2831-2838. IEEE, 2019.
  57. Saini, Manisha, and Seba Susan. "Data Augmentation of Minority Class with Transfer Learning for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3." In Iberian Conference on Pattern Recognition and Image Analysis, pp. 409-420. Springer, Cham, 2019.    
  58. Verma, Mudit, Pradyumna Sinha, Karan Goyal, Apoorva Verma, and Seba Susan. "A Novel Framework for Neural Architecture Search in the Hill Climbing Domain." In 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 1-8. IEEE, 2019.    [Arxiv paper download]   [Link to CODE]
  59. Susan, Seba, Minni Mittal, Srishti Bansal, and Prachi Agrawal. "Dynamic Texture Recognition from Multi-offset Temporal Intensity Co-occurrence Matrices with Local Pattern Matching." In Computational Intelligence: Theories, Applications and Future Directions-Volume II, pp. 545-555. Springer, Singapore, 2019.

Last Updated : 2024-11-08 04:15:32