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Seba Susan
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2020 – today
- 2024
- [j31]Seba Susan, Muskan Sharma, Gargi Choudhary:
Uniqueness meets Semantics: A Novel Semantically Meaningful Bag-of-Words Approach for Matching Resumes to Job Profiles. Inteligencia Artif. 27(74): 117-132 (2024) - [j30]Ruchi Holker, Seba Susan:
Linear Monotonic Inter-electrode Associations as Quantitative EEG for Alcoholism Diagnosis. Int. J. Comput. Intell. Syst. 17(1): 250 (2024) - [j29]Sunakshi Mehra, Virender Ranga, Ritu Agarwal, Seba Susan:
Speaker independent recognition of low-resourced multilingual Arabic spoken words through hybrid fusion. Multim. Tools Appl. 83(35): 82533-82561 (2024) - [c36]Akanksha Karotia, Seba Susan:
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation. BioNLP@ACL 2024: 762-768 - [i10]Naresh Kumar, Seba Susan:
Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning. CoRR abs/2401.18047 (2024) - 2023
- [j28]Anmol Bansal, Arjun Choudhry, Anubhav Sharma, Seba Susan:
Adaptation of Domain-Specific Transformer Models with Text Oversampling for Sentiment Analysis of Social Media Posts on CoViD-19 vaccine. Comput. Sci. 24(2) (2023) - [j27]Manisha Saini, Seba Susan:
Tackling class imbalance in computer vision: a contemporary review. Artif. Intell. Rev. 56(S1): 1279-1335 (2023) - [j26]Sunakshi Mehra, Seba Susan:
Deep fusion framework for speech command recognition using acoustic and linguistic features. Multim. Tools Appl. 82(25): 38667-38691 (2023) - [j25]Manisha Saini, Seba Susan:
VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 752-762 (2023) - [j24]Akanksha Karotia, Seba Susan:
CovSumm: an unsupervised transformer-cum-graph-based hybrid document summarization model for CORD-19. J. Supercomput. 79(14): 16328-16350 (2023) - [c35]Naresh Kumar, Seba Susan:
Epidemic Modeling using Hybrid of Time-varying SIRD, Particle Swarm Optimization, and Deep Learning. ICCCNT 2023: 1-7 - [c34]Pranjal Kumar Singh, Seba Susan:
Transfer Learning using Very Deep Pre-Trained Models for Food Image Classification. ICCCNT 2023: 1-6 - [c33]Ashi Agarwal, Seba Susan:
Emotion Recognition from Masked Faces using Inception-v3. RAIT 2023: 1-6 - 2022
- [j23]Manisha Saini, Seba Susan:
Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets. Comput. Biol. Medicine 149: 105989 (2022) - [j22]Srishti Vashishtha, Seba Susan:
Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis. Soft Comput. 26(9): 4487-4507 (2022) - [c32]Manisha Saini, Seba Susan:
Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning. CISP-BMEI 2022: 1-6 - [c31]Yashpal Singh, Seba Susan:
SMOTE-LASSO-DeepNet Framework for Cancer Subtyping from Gene Expression Data. CISP-BMEI 2022: 1-6 - [c30]Ruchi Holker, Seba Susan:
Computer-Aided Diagnosis Framework for ADHD Detection Using Quantitative EEG. BI 2022: 229-240 - [c29]Seba Susan, Ashu Kaushik:
Localized Metric Learning for Large Multi-class Extremely Imbalanced Face Database. DASFAA (Workshops) 2022: 64-78 - [c28]Anubhav Sharma, Seba Susan, Anmol Bansal, Arjun Choudhry:
Dynamic Topic Modeling of Covid-19 Vaccine-Related Tweets. DSDE 2022: 79-84 - [c27]Arjun Choudhry, Seba Susan, Anmol Bansal, Anubhav Sharma:
TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling. FLAIRS 2022 - [c26]Anmol Bansal, Seba Susan, Arjun Choudhry, Anubhav Sharma:
Covid-19 Vaccine Sentiment Analysis During Second Wave in India by Transfer Learning Using XLNet. ICPRAI (2) 2022: 443-454 - [c25]Kritarth Bisht, Seba Susan:
v-TCM: vertical-aware transformer click model for web search. SAC 2022: 1917-1920 - [i9]Raman Goel, Seba Susan, Sachin Vashisht, Armaan Dhanda:
Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation. CoRR abs/2204.11320 (2022) - [i8]Anmol Bansal, Arjun Choudhry, Anubhav Sharma, Seba Susan:
Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines. CoRR abs/2209.10966 (2022) - 2021
- [j21]Naresh Kumar, Seba Susan:
Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19. Appl. Soft Comput. 110: 107611 (2021) - [j20]Srishti Vashishtha, Seba Susan:
Highlighting keyphrases using senti-scoring and fuzzy entropy for unsupervised sentiment analysis. Expert Syst. Appl. 169: 114323 (2021) - [j19]Ruchi Holker, Seba Susan:
Neuroscience-Inspired Parameter Selection of Spiking Neuron Using Hodgkin Huxley Model. Int. J. Softw. Sci. Comput. Intell. 13(2): 89-106 (2021) - [j18]Manisha Saini, Seba Susan:
Bag-of-Visual-Words codebook generation using deep features for effective classification of imbalanced multi-class image datasets. Multim. Tools Appl. 80(14): 20821-20847 (2021) - [j17]Seba Susan, Jatin Malhotra:
Learning image by-parts using early and late fusion of auto-encoder features. Multim. Tools Appl. 80(19): 29601-29615 (2021) - [c24]Raman Goel, Seba Susan, Sachin Vashisht, Armaan Dhanda:
Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation. ACII (Workshops and Demos) 2021: 1-6 - [c23]Ruchi Holker, Seba Susan:
Quantitative EEG Feature Selection by MajorityVoting for Alcohol Use Disorder Detection. BHI 2021: 1-4 - [c22]Kritarth Bisht, Seba Susan:
Weighted Ensemble of Neural and Probabilistic Graphical Models for Click Prediction. ICISDM 2021: 145-150 - [c21]Ritam Mallick, Seba Susan, Vaibhaw Agrawal, Rizul Garg, Prateek Rawal:
Context- and sequence-aware convolutional recurrent encoder for neural machine translation. SAC 2021: 853-856 - [i7]Ritam Mallick, Seba Susan, Vaibhaw Agrawal, Rizul Garg, Prateek Rawal:
Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation. CoRR abs/2101.04030 (2021) - [i6]Mudit Verma, Pradyumna Sinha, Karan Goyal, Apoorva Verma, Seba Susan:
A Novel Framework for Neural Architecture Search in the Hill Climbing Domain. CoRR abs/2102.12985 (2021) - [i5]Anmol Jain, Aishwary Kumar, Seba Susan:
Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme. CoRR abs/2105.03819 (2021) - [i4]Kartik Arora, Ajul Raj, Arun Goel, Seba Susan:
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning. CoRR abs/2105.03826 (2021) - [i3]Sunakshi Mehra, Seba Susan:
Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning. CoRR abs/2107.12428 (2021) - 2020
- [j16]Manisha Saini, Seba Susan:
Deep transfer with minority data augmentation for imbalanced breast cancer dataset. Appl. Soft Comput. 97(Part): 106759 (2020) - [j15]Seba Susan, K. M. Rachna Devi:
Text area segmentation from document images by novel adaptive thresholding and template matching using texture cues. Pattern Anal. Appl. 23(2): 869-881 (2020) - [j14]Seba Susan, Rohit Ranjan, Udyant Taluja, Shivang Rai, Pranav Agarwal:
Global-best optimization of ANN trained by PSO using the non-extensive cross-entropy with Gaussian gain. Soft Comput. 24(23): 18219-18231 (2020) - [j13]Srishti Vashishtha, Seba Susan:
Sentiment Cognition From Words Shortlisted by Fuzzy Entropy. IEEE Trans. Cogn. Dev. Syst. 12(3): 541-550 (2020) - [c20]Seba Susan, Ashu Kaushik:
Weakly Supervised Metric Learning with Majority Classes for Large Imbalanced Image Dataset. BDIOT 2020: 16-19 - [c19]Srishti Vashishtha, Seba Susan:
Unsupervised Fuzzy Inference System for Speech Emotion Recognition using audio and text cues (Workshop Paper). BigMM 2020: 394-403 - [c18]Sukhad Anand, Seba Susan, Shreshtha Aggarwal, Shubham Aggarwal, Rajat Singla:
Scene Text Recognition in the Wild with Motion Deblurring Using Deep Networks. CVIP (3) 2020: 93-103 - [c17]Mayank Tripathi, Divyanshu Singh, Seba Susan:
Speaker Recognition Using SincNet and X-Vector Fusion. ICAISC (1) 2020: 252-260 - [c16]Naresh Kumar, Seba Susan:
COVID-19 Pandemic Prediction using Time Series Forecasting Models. ICCCNT 2020: 1-7 - [c15]Srishti Vashishtha, Seba Susan:
Fuzzy Interpretation of Word Polarity Scores for Unsupervised Sentiment Analysis. ICCCNT 2020: 1-6 - [c14]Dhaarna Sethi, Kriti Arora, Seba Susan:
Transfer Learning by Deep Tuning of Pre-trained Networks for Pulmonary Nodule Detection. ICIIS 2020: 168-173 - [c13]Sandeep Yadav, Satyajeet Singh, Antoreep Jana, Seba Susan:
Shadow Detection using GAN with Residual CNN Discriminator. ICIIS 2020: 198-203 - [i2]Mayank Tripathi, Divyanshu Singh, Seba Susan:
Speaker Recognition using SincNet and X-Vector Fusion. CoRR abs/2004.02219 (2020)
2010 – 2019
- 2019
- [j12]Seba Susan, Amitesh Kumar:
SSOMaj-SMOTE-SSOMin: Three-step intelligent pruning of majority and minority samples for learning from imbalanced datasets. Appl. Soft Comput. 78: 141-149 (2019) - [j11]Seba Susan, Prachi Agrawal, Minni Mittal, Srishti Bansal:
New shape descriptor in the context of edge continuity. CAAI Trans. Intell. Technol. 4(2): 101-109 (2019) - [j10]Srishti Vashishtha, Seba Susan:
Fuzzy rule based unsupervised sentiment analysis from social media posts. Expert Syst. Appl. 138 (2019) - [j9]Seba Susan, Madasu Hanmandlu:
Smaller feature subset selection for real-world datasets using a new mutual information with Gaussian gain. Multidimens. Syst. Signal Process. 30(3): 1469-1488 (2019) - [j8]Seba Susan, Juli Keshari:
Finding significant keywords for document databases by two-phase Maximum Entropy Partitioning. Pattern Recognit. Lett. 125: 195-205 (2019) - [c12]Mudit Verma, Pradyumna Sinha, Karan Goyal, Apoorva Verma, Seba Susan:
A Novel Framework for Neural Architecture Search in the Hill Climbing Domain. AIKE 2019: 1-8 - [c11]Seba Susan, Ankur Agarwal, Chetan Gulati, Sunpreet Singh, Vaibhav Chauhan:
Human Attention Span Modeling using 2D Visualization Plots for Gaze Progression and Gaze Sustenance. AIVR 2019: 42-46 - [c10]Seba Susan, Aparna Bhutani:
A Novel Memetic Algorithm Incorporating Greedy Stochastic Local Search Mutation for Course Scheduling. CSE/EUC 2019: 254-259 - [c9]Seba Susan, Amitesh Kumar:
Learning Data Space Transformation Matrix from Pruned Imbalanced Datasets for Nearest Neighbor Classification. HPCC/SmartCity/DSS 2019: 2831-2838 - [c8]Manisha Saini, Seba Susan:
Data Augmentation of Minority Class with Transfer Learning for Classification of Imbalanced Breast Cancer Dataset Using Inception-V3. IbPRIA (1) 2019: 409-420 - [c7]Seba Susan, Jatin Malhotra:
CNN Pre-initialization by Minimalistic Part-Learning for Handwritten Numeral Recognition. MIKE 2019: 320-329 - 2018
- [j7]Seba Susan, Madasu Hanmandlu:
Color texture recognition by color information fusion using the non-extensive entropy. Multidimens. Syst. Signal Process. 29(4): 1269-1284 (2018) - [c6]Srishti Vashishtha, Seba Susan:
Fuzzy Logic Based Dynamic Plotting of Mood Swings from Tweets. IBICA 2018: 129-139 - [c5]Seba Susan, Amitesh Kumar:
Hybrid of Intelligent Minority Oversampling and PSO-Based Intelligent Majority Undersampling for Learning from Imbalanced Datasets. ISDA (2) 2018: 760-769 - [c4]Seba Susan, Aparna Bhutani:
Data Mining with Association Rules for Scheduling Open Elective Courses Using Optimization Algorithms. ISDA (2) 2018: 770-778 - [c3]Manisha Saini, Seba Susan:
Comparison of Deep Learning, Data Augmentation and Bag of-Visual-Words for Classification of Imbalanced Image Datasets. RTIP2R (1) 2018: 561-571 - 2017
- [j6]Seba Susan, Monika Sharma:
Automatic texture defect detection using Gaussian mixture entropy modeling. Neurocomputing 239: 232-237 (2017) - [c2]Seba Susan, Amandeep Kaur:
Measuring the randomness of speech cues for emotion recognition. IC3 2017: 1-6 - 2016
- [i1]Seba Susan, Madasu Hanmandlu:
A non-extensive entropy feature and its application to texture classification. CoRR abs/1603.02466 (2016) - 2015
- [j5]Seba Susan, Abhishek Jain, Aakash Sharma, Shikhar Verma, Siddhant Jain:
Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision. IET Image Process. 9(11): 951-958 (2015) - [j4]Seba Susan, Madasu Hanmandlu:
Unsupervised detection of nonlinearity in motion using weighted average of non-extensive entropies. Signal Image Video Process. 9(3): 511-525 (2015) - 2013
- [j3]Seba Susan, Madasu Hanmandlu:
Difference theoretic feature set for scale-, illumination- and rotation-invariant texture classification. IET Image Process. 7(8): 725-732 (2013) - [j2]Seba Susan, Madasu Hanmandlu:
A non-extensive entropy feature and its application to texture classification. Neurocomputing 120: 214-225 (2013) - [j1]Madasu Hanmandlu, Om Prakash Verma, Seba Susan, Vamsi Krishna Madasu:
Color segmentation by fuzzy co-clustering of chrominance color features. Neurocomputing 120: 235-249 (2013) - [c1]Seba Susan, Madasu Hanmandlu:
A novel Fuzzy Entropy based on the Non-Extensive entropy and its application for feature selection. FUZZ-IEEE 2013: 1-8
Coauthor Index
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last updated on 2024-11-07 20:30 CET by the dblp team
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