Shubhra Kanti Karmaker ("Santu")
Shubhra Kanti Karmaker ("Santu")
Assistant Professor at Auburn University
Verified email at - Homepage
Cited by
Cited by
On application of learning to rank for e-commerce search
SK Karmaker Santu, P Sondhi, CX Zhai
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
Automl to date and beyond: Challenges and opportunities
SK Karmaker, MM Hassan, MJ Smith, L Xu, C Zhai, K Veeramachaneni
ACM Computing Surveys (CSUR) 54 (8), 1-36, 2021
Generative feature language models for mining implicit features from customer reviews
SK Karmaker Santu, P Sondhi, CX Zhai
Proceedings of the 25th ACM international on conference on information and …, 2016
A study of feature construction for text-based forecasting of time series variables
Y Wang, D Seyler, SKK Santu, CX Zhai
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Towards automated sexual violence report tracking
N Hassan, A Poudel, J Hale, C Hubacek, KT Huq, SKK Santu, SI Ahmed
Proceedings of the international AAAI conference on web and social media 14 …, 2020
Modeling the influence of popular trending events on user search behavior
SK Karmaker Santu, L Li, DH Park, Y Chang, CX Zhai
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
Sofsat: Towards a setlike operator based framework for semantic analysis of text
SK Karmaker Santu, C Geigle, D Ferguson, W Cope, M Kalantzis, ...
ACM SIGKDD Explorations Newsletter 20 (2), 21-30, 2018
NRF: A Naive re-identification framework
SK Karmaker Santu, V Bindschadler, CX Zhai, CA Gunter
Proceedings of the 2018 Workshop on Privacy in the Electronic Society, 121-132, 2018
Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE?
M Akter, N Bansal, SK Karmaker
Findings of the Association for Computational Linguistics: ACL 2022, 1547-1560, 2022
Jim: Joint influence modeling for collective search behavior
SK Karmaker Santu, L Li, Y Chang, CX Zhai
Proceedings of the 27th ACM International Conference on Information and …, 2018
COVID19α: Interactive spatio-temporal visualization of COVID-19 symptoms through tweet analysis
BS Bijoy, SJ Saba, S Sarkar, MS Islam, SR Islam, MR Amin, ...
26th International Conference on Intelligent User Interfaces-Companion, 28-30, 2021
Empirical analysis of impact of query-specific customization of nDCG: a case-study with learning-to-rank methods
SSK Karmaker, P Sondhi, CX Zhai
Proceedings of the 29th ACM International Conference on Information …, 2020
Towards better generalization in pittsburgh learning classifier systems
SKK Santu, MM Rahman, MM Islam, K Murase
2014 IEEE Congress on Evolutionary Computation (CEC), 1666-1673, 2014
Mind reading of the proteins: Deep-learning to forecast molecular dynamics
C Gupta, JK Cava, D Sarkar, E Wilson, J Vant, S Murray, A Singharoy, ...
bioRxiv, 2020.07. 28.225490, 2020
Analysis of adaptive training for learning to rank in information retrieval
S Kuzi, S Labhishetty, SK Karmaker Santu, PP Joshi, CX Zhai
Proceedings of the 28th ACM international conference on information and …, 2019
MLFriend: Interactive prediction task recommendation for event-driven time-series data
L Xu, SKK Santu, K Veeramachaneni
arXiv preprint arXiv:1906.12348, 2019
Forecasting time series—A layered ensemble architecture
MM Rahman, SKK Santu, MM Islam, K Murase
2014 International Joint Conference on Neural Networks (IJCNN), 210-217, 2014
Concept annotation from users perspective: A new challenge
S Sarkar, SK Karmaker
Companion Proceedings of the Web Conference 2022, 1180-1188, 2022
TILM: Neural language models with evolving topical influence
SKK Santu, K Veeramachaneni, C Zhai
Proceedings of the 23rd Conference on Computational Natural Language …, 2019
Semantic overlap summarization among multiple alternative narratives: An exploratory study
N Bansal, M Akter, SK Karmaker
Proceedings of the 29th International Conference on Computational …, 2022
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