A novel Fuzzy Entropy based on the Non-Extensive entropy and its application for feature selection. - Seba Susan; Madasu Hanmandlu (FUZZ-IEEE, 2013)

Difference theoretic feature set for scale-, illumination- and rotation-invariant texture classification. - Seba Susan; Madasu Hanmandlu (IET Image Process., 2013)

Color segmentation by fuzzy co-clustering of chrominance color features. - Madasu Hanmandlu; Om Prakash Verma; Seba Susan; Vamsi Krishna Madasu (Neurocomputing, 2013)

A non-extensive entropy feature and its application to texture classification. - Seba Susan; Madasu Hanmandlu (Neurocomputing, 2013)

Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision. - Seba Susan; Abhishek Jain; Aakash Sharma; Shikhar Verma; Siddhant Jain (IET Image Process., 2015)

Unsupervised detection of nonlinearity in motion using weighted average of non-extensive entropies. - Seba Susan; Madasu Hanmandlu (Signal Image Video Process., 2015)

Measuring the randomness of speech cues for emotion recognition. - Seba Susan; Amandeep Kaur (IC3, 2017)

Automatic texture defect detection using Gaussian mixture entropy modeling. - Seba Susan; Monika Sharma (Neurocomputing, 2017)

Fuzzy Logic Based Dynamic Plotting of Mood Swings from Tweets. - Srishti Vashishtha; Seba Susan (IBICA, 2018)

Data Mining with Association Rules for Scheduling Open Elective Courses Using Optimization Algorithms. - Seba Susan; Aparna Bhutani (ISDA (2), 2018)

Hybrid of Intelligent Minority Oversampling and PSO-Based Intelligent Majority Undersampling for Learning from Imbalanced Datasets. - Seba Susan; Amitesh Kumar (ISDA (2), 2018)

Comparison of Deep Learning, Data Augmentation and Bag of-Visual-Words for Classification of Imbalanced Image Datasets. - Manisha Saini; Seba Susan (RTIP2R (1), 2018)

Color texture recognition by color information fusion using the non-extensive entropy. - Seba Susan; Madasu Hanmandlu (Multidimens. Syst. Signal Process., 2018)

A Novel Framework for Neural Architecture Search in the Hill Climbing Domain. - Mudit Verma; Pradyumna Sinha; Karan Goyal; Apoorva Verma; Seba Susan (AIKE, 2019)

Human Attention Span Modeling using 2D Visualization Plots for Gaze Progression and Gaze Sustenance. - Seba Susan; Ankur Agarwal; Chetan Gulati; Sunpreet Singh; Vaibhav Chauhan (AIVR, 2019)

A Novel Memetic Algorithm Incorporating Greedy Stochastic Local Search Mutation for Course Scheduling. - Seba Susan; Aparna Bhutani (CSE/EUC, 2019)

Learning Data Space Transformation Matrix from Pruned Imbalanced Datasets for Nearest Neighbor Classification. - Seba Susan; Amitesh Kumar (HPCC/SmartCity/DSS, 2019)

Data Augmentation of Minority Class with Transfer Learning for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3. - Manisha Saini; Seba Susan (IbPRIA (1), 2019)

CNN Pre-initialization by Minimalistic Part-Learning for Handwritten Numeral Recognition. - Seba Susan; Jatin Malhotra (MIKE, 2019)

SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets. - Seba Susan; Amitesh Kumar (Appl. Soft Comput., 2019)

New shape descriptor in the context of edge continuity. - Seba Susan; Prachi Agrawal; Minni Mittal; Srishti Bansal (CAAI Trans. Intell. Technol., 2019)

Fuzzy rule based unsupervised sentiment analysis from social media posts. - Srishti Vashishtha; Seba Susan (Expert Syst. Appl., 2019)

Smaller feature subset selection for real-world datasets using a new mutual information with Gaussian gain. - Seba Susan; Madasu Hanmandlu (Multidimens. Syst. Signal Process., 2019)

Finding significant keywords for document databases by two-phase Maximum Entropy Partitioning. - Seba Susan; Juli Keshari (Pattern Recognit. Lett., 2019)

Weakly Supervised Metric Learning with Majority Classes for Large Imbalanced Image Dataset. - Seba Susan; Ashu Kaushik (BDIOT, 2020)

Unsupervised Fuzzy Inference System for Speech Emotion Recognition using audio and text cues (Workshop Paper). - Srishti Vashishtha; Seba Susan (BigMM, 2020)

Scene Text Recognition in the Wild with Motion Deblurring Using Deep Networks. - Sukhad Anand; Seba Susan; Shreshtha Aggarwal; Shubham Aggarwal; Rajat Singla (CVIP (3), 2020)

Speaker Recognition Using SincNet and X-Vector Fusion. - Mayank Tripathi; Divyanshu Singh; Seba Susan (ICAISC (1), 2020)

COVID-19 Pandemic Prediction using Time Series Forecasting Models. - Naresh Kumar; Seba Susan (ICCCNT, 2020)

Fuzzy Interpretation of Word Polarity Scores for Unsupervised Sentiment Analysis. - Srishti Vashishtha; Seba Susan (ICCCNT, 2020)

Transfer Learning by Deep Tuning of Pre-trained Networks for Pulmonary Nodule Detection. - Dhaarna Sethi; Kriti Arora; Seba Susan (ICIIS, 2020)

Shadow Detection using GAN with Residual CNN Discriminator. - Sandeep Yadav; Satyajeet Singh; Antoreep Jana; Seba Susan (ICIIS, 2020)

Deep transfer with minority data augmentation for imbalanced breast cancer dataset. - Manisha Saini; Seba Susan (Appl. Soft Comput., 2020)

Text area segmentation from document images by novel adaptive thresholding and template matching using texture cues. - Seba Susan; K. M. Rachna Devi (Pattern Anal. Appl., 2020)

Global-best optimization of ANN trained by PSO using the non-extensive cross-entropy with Gaussian gain. - Seba Susan; Rohit Ranjan; Udyant Taluja; Shivang Rai; Pranav Agarwal (Soft Comput., 2020)

Sentiment Cognition From Words Shortlisted by Fuzzy Entropy. - Srishti Vashishtha; Seba Susan (IEEE Trans. Cogn. Dev. Syst., 2020)

Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation. - Raman Goel; Seba Susan; Sachin Vashisht; Armaan Dhanda (ACII (Workshops and Demos), 2021)

Quantitative EEG Feature Selection by MajorityVoting for Alcohol Use Disorder Detection. - Ruchi Holker; Seba Susan (BHI, 2021)

Weighted Ensemble of Neural and Probabilistic Graphical Models for Click Prediction. - Kritarth Bisht; Seba Susan (ICISDM, 2021)

Context- and sequence-aware convolutional recurrent encoder for neural machine translation. - Ritam Mallick; Seba Susan; Vaibhaw Agrawal; Rizul Garg; Prateek Rawal (SAC, 2021)

Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19. - Naresh Kumar; Seba Susan (Appl. Soft Comput., 2021)

Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme. - Anmol Jain; Aishwary Kumar; Seba Susan (CoRR, 2021)

A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning. - Kartik Arora; Ajul Raj; Arun Goel; Seba Susan (CoRR, 2021)

Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning. - Sunakshi Mehra; Seba Susan (CoRR, 2021)

Highlighting keyphrases using senti-scoring and fuzzy entropy for unsupervised sentiment analysis. - Srishti Vashishtha; Seba Susan (Expert Syst. Appl., 2021)

Neuroscience-Inspired Parameter Selection of Spiking Neuron Using Hodgkin Huxley Model. - Ruchi Holker; Seba Susan (Int. J. Softw. Sci. Comput. Intell., 2021)

Bag-of-Visual-Words codebook generation using deep features for effective classification of imbalanced multi-class image datasets. - Manisha Saini; Seba Susan (Multim. Tools Appl., 2021)

Learning image by-parts using early and late fusion of auto-encoder features. - Seba Susan; Jatin Malhotra (Multim. Tools Appl., 2021)

Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning. - Manisha Saini; Seba Susan (CISP-BMEI, 2022)

SMOTE-LASSO-DeepNet Framework for Cancer Subtyping from Gene Expression Data. - Yashpal Singh; Seba Susan (CISP-BMEI, 2022)

Computer-Aided Diagnosis Framework for ADHD Detection Using Quantitative EEG. - Ruchi Holker; Seba Susan (BI, 2022)

Localized Metric Learning for Large Multi-class Extremely Imbalanced Face Database. - Seba Susan; Ashu Kaushik (DASFAA (Workshops), 2022)

Dynamic Topic Modeling of Covid-19 Vaccine-Related Tweets. - Anubhav Sharma; Seba Susan; Anmol Bansal; Arjun Choudhry (DSDE, 2022)

TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling. - Arjun Choudhry; Seba Susan; Anmol Bansal; Anubhav Sharma (FLAIRS, 2022)

Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet. - Anmol Bansal; Seba Susan; Arjun Choudhry; Anubhav Sharma (ICPRAI (2), 2022)

v-TCM: vertical-aware transformer click model for web search. - Kritarth Bisht; Seba Susan (SAC, 2022)

Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets. - Manisha Saini; Seba Susan (Comput. Biol. Medicine, 2022)

Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines. - Anmol Bansal; Arjun Choudhry; Anubhav Sharma; Seba Susan (CoRR, 2022)

Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis. - Srishti Vashishtha; Seba Susan (Soft Comput., 2022)

Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning. - Naresh Kumar; Seba Susan (ICCCNT, 2023)

Transfer Learning using Very Deep Pre-Trained Models for Food Image Classification. - Pranjal Kumar Singh; Seba Susan (ICCCNT, 2023)

Emotion Recognition from Masked Faces using Inception-v3. - Ashi Agarwal; Seba Susan (RAIT, 2023)

Adaptation of Domain-Specific Transformer Models with Text Oversampling for Sentiment Analysis of Social Media Posts on CoViD-19 vaccine. - Anmol Bansal; Arjun Choudhry; Anubhav Sharma; Seba Susan (Comput. Sci., 2023)

VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset. - Manisha Saini; Seba Susan (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

CovSumm: an unsupervised transformer-cum-graph-based hybrid document summarization model for CORD-19. - Akanksha Karotia; Seba Susan (J. Supercomput., 2023)

Tackling class imbalance in computer vision: a contemporary review. - Manisha Saini; Seba Susan (Artif. Intell. Rev., 2023)

Deep fusion framework for speech command recognition using acoustic and linguistic features. - Sunakshi Mehra; Seba Susan (Multim. Tools Appl., 2023)

BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation. - Akanksha Karotia; Seba Susan (BioNLP@ACL, 2024)

Multi-Label Remote Sensing Image Classification using MobileNetV2. - Tamal Barman; Seba Susan (ICCCNT, 2024)

A Study of Social Biases in Small Language Models and Mitigation Strategies. - Lakshay Chandra; Dhruv Kumar 008; Krishan Kant; Seba Susan (ICCCNT, 2024)

Performance Analysis of Online Machine Learning Frameworks for Anomaly Detection in IoT Data Streams. - Santosh Kumar Ray; Seba Susan (ICCCNT, 2024)

Two-Way Transfer Learning Using Mobile-Dense Network for Occluded Face Emotion Recognition: A Soft Decision Fusion Approach. - Ashi Agarwal; Seba Susan (ICPR (Workshops and Challenges, 3), 2024)

Uniqueness meets Semantics: A Novel Semantically Meaningful Bag-of-Words Approach for Matching Resumes to Job Profiles. - Seba Susan; Muskan Sharma; Gargi Choudhary (Inteligencia Artif., 2024)

Speaker independent recognition of low-resourced multilingual Arabic spoken words through hybrid fusion. - Sunakshi Mehra; Virender Ranga; Ritu Agarwal; Seba Susan (Multim. Tools Appl., 2024)

Neuroscientific insights about computer vision models: a concise review. - Seba Susan (Biol. Cybern., 2024)

Linear Monotonic Inter-electrode Associations as Quantitative EEG for Alcoholism Diagnosis. - Ruchi Holker; Seba Susan (Int. J. Comput. Intell. Syst., 2024)

Attention-augmented squeeze-and-excitation enhanced mobile network for occluded facial expression recognition in resource-constrained environments. - Ashi Agarwal; Seba Susan (Signal Image Video Process., 2025)

Longitudinal analysis of Covid-19 vaccine-related tweets in india: linking sentiment fluctuations with topic modeling. - Seba Susan; Anmol Bansal; Arjun Choudhry; Anubhav Sharma (Soc. Netw. Anal. Min., 2025)