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Journal Articles
- 2024
[j60]Akib Zaman
, Shiu Kumar, Swakkhar Shatabda, Iman Dehzangi, Alok Sharma:
SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification. Medical Biol. Eng. Comput. 62(9): 2769-2783 (2024)- [j59]Akib Zaman, Shiu Kumar, Swakkhar Shatabda, Iman Dehzangi, Alok Sharma:
Correction to: SleepBoost: a multi‑level tree‑based ensemble model for automatic sleep stage classification. Medical Biol. Eng. Comput. 62(9): 2785 (2024) - 2023
- [j58]Shangru Jia, Artem Lysenko, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda:
scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning. Briefings Bioinform. 24(5) (2023) - [j57]Animesh Renanse, Alok Sharma, Rohitash Chandra:
Memory capacity of recurrent neural networks with matrix representation. Neurocomputing 560: 126824 (2023) - [j56]Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023) - 2021
- [j55]Alok Sharma, Artem Lysenko, Keith A. Boroevich, Edwin Vans, Tatsuhiko Tsunoda:
DeepFeature: feature selection in nonimage data using convolutional neural network. Briefings Bioinform. 22(6) (2021) - [j54]Shiu Kumar, Tatsuhiko Tsunoda, Alok Sharma:
SPECTRA: a tool for enhanced brain wave signal recognition. BMC Bioinform. 22-S(6): 195 (2021) - [j53]Shiu Kumar, Ronesh Sharma, Tatsuhiko Tsunoda, Thirumananseri Kumarevel, Alok Sharma:
Forecasting the spread of COVID-19 using LSTM network. BMC Bioinform. 22-S(6): 316 (2021) - [j52]Shiu Kumar, Ronesh Sharma, Alok Sharma:
OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals. PeerJ Comput. Sci. 7: e375 (2021) - 2020
- [j51]Md. Wakil Ahmad, Md. Easin Arafat, Ghazaleh Taherzadeh, Alok Sharma, Shubhashis Roy Dipta, Abdollah Dehzangi, Swakkhar Shatabda:
Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features. IEEE Access 8: 77888-77902 (2020) - [j50]Yosvany López, Abdollah Dehzangi, Hamendra Manhar Reddy, Alok Sharma:
C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences. Comput. Biol. Chem. 87: 107235 (2020) - 2019
- [j49]Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi:
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinform. 35(19): 3831-3833 (2019) - [j48]Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, Tatsuhiko Tsunoda:
GlyStruct: glycation prediction using structural properties of amino acid residues. BMC Bioinform. 19-S(13): 55-64 (2019) - [j47]Ronesh Sharma, Alok Sharma, Ashwini Patil, Tatsuhiko Tsunoda:
Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions. BMC Bioinform. 19-S(13): 155-163 (2019) - [j46]Wafaa Wardah, M. G. M. Khan, Alok Sharma, Mahmood A. Rashid:
Protein secondary structure prediction using neural networks and deep learning: A review. Comput. Biol. Chem. 81: 1-8 (2019) - 2018
- [j45]Ronesh Sharma, Gaurav Raicar, Tatsuhiko Tsunoda, Ashwini Patil, Alok Sharma:
OPAL: prediction of MoRF regions in intrinsically disordered protein sequences. Bioinform. 34(11): 1850-1858 (2018) - [j44]Shiu Kumar, Alok Sharma:
A new parameter tuning approach for enhanced motor imagery EEG signal classification. Medical Biol. Eng. Comput. 56(10): 1861-1874 (2018) - 2017
- [j43]Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda:
An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information. BMC Bioinform. 18(16): 125-137 (2017) - [j42]Alok Sharma, Yosvany López, Tatsuhiko Tsunoda:
Divisive hierarchical maximum likelihood clustering. BMC Bioinform. 18(16): 139-147 (2017) - [j41]Alok Sharma, Piotr J. Kamola, Tatsuhiko Tsunoda:
2D-EM clustering approach for high-dimensional data through folding feature vectors. BMC Bioinform. 18(16): 195-209 (2017) - [j40]Xiaolong Jia, Yiyang Li, Alok Sharma, Yulong Li, Guohai Xie, Guoyao Wang, Junhui Jiang, Yue Cheng, Xianting Ding:
Application of sequential factorial design and orthogonal array composite design (OACD) to study combination of 5 prostate cancer drugs. Comput. Biol. Chem. 67: 234-243 (2017) - [j39]Shiu Kumar, Kabir A. Mamun, Alok Sharma:
CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI. Comput. Biol. Medicine 91: 231-242 (2017) - [j38]Raneel Kumar, Sunil Pranit Lal, Alok Sharma:
Detecting TCP SYN Flood Attack in the Cloud. J. Softw. 12(7): 493-506 (2017) - [j37]Alok Sharma, Keith A. Boroevich, Daichi Shigemizu, Yoichiro Kamatani, Michiaki Kubo, Tatsuhiko Tsunoda:
Hierarchical Maximum Likelihood Clustering Approach. IEEE Trans. Biomed. Eng. 64(1): 112-122 (2017) - 2016
- [j36]Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinform. 32(6): 843-849 (2016) - [j35]Ronesh Sharma, Shiu Kumar, Tatsuhiko Tsunoda, Ashwini Patil, Alok Sharma:
Predicting MoRFs in protein sequences using HMM profiles. BMC Bioinform. 17(S-19): 251-258 (2016) - [j34]Alok Sharma, Daichi Shigemizu, Keith A. Boroevich, Yosvany López, Yoichiro Kamatani, Michiaki Kubo, Tatsuhiko Tsunoda:
Stepwise iterative maximum likelihood clustering approach. BMC Bioinform. 17: 319 (2016) - [j33]Harsh Saini, Gaurav Raicar, Sunil Pranit Lal, Abdollah Dehzangi, Seiya Imoto, Alok Sharma:
Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram. J. Softw. 11(8): 756-767 (2016) - 2015
- [j32]Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinform. 16(S-4): S1 (2015) - [j31]Abdollah Dehzangi, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition. Int. J. Data Min. Bioinform. 11(1): 115-138 (2015) - [j30]Alok Sharma, Kuldip K. Paliwal:
A deterministic approach to regularized linear discriminant analysis. Neurocomputing 151: 207-214 (2015) - [j29]Alok Sharma, Kuldip K. Paliwal:
Linear discriminant analysis for the small sample size problem: an overview. Int. J. Mach. Learn. Cybern. 6(3): 443-454 (2015) - 2014
- [j28]Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdollah Dehzangi:
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information. BMC Bioinform. 15(S-16): S12 (2014) - [j27]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Proposing a highly accurate protein structural class predictor using segmentation-based features. BMC Genom. 15(S-1): S2 (2014) - [j26]Kabir A. Mamun, Alok Sharma:
Importance of Computational Intelligent in Proteomics. J. Adv. Comput. Intell. Intell. Informatics 18(4): 469-473 (2014) - [j25]Harsh Saini, Gaurav Raicar, Alok Sharma, Sunil Pranit Lal, Abdollah Dehzangi, Rajeshkannan Ananthanarayanan, James G. Lyons, Neela Biswas, Kuldip K. Paliwal:
Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix. J. Adv. Comput. Intell. Intell. Informatics 18(4): 474-479 (2014) - [j24]James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. J. Comput. Chem. 35(28): 2040-2046 (2014) - [j23]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano, Vandana Sharma, Rajeshkannan Ananthanarayanan:
A feature selection method using fixed-point algorithm for DNA microarray gene expression data. Int. J. Knowl. Based Intell. Eng. Syst. 18(1): 55-59 (2014) - [j22]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano:
A feature selection method using improved regularized linear discriminant analysis. Mach. Vis. Appl. 25(3): 775-786 (2014) - [j21]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 510-519 (2014) - 2013
- [j20]Alok Sharma, Kuldip K. Paliwal, Abdollah Dehzangi, James G. Lyons, Seiya Imoto, Satoru Miyano:
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinform. 14: 233 (2013) - [j19]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano:
Principal component analysis using QR decomposition. Int. J. Mach. Learn. Cybern. 4(6): 679-683 (2013) - 2012
- [j18]Kuldip K. Paliwal, Alok Sharma:
Improved Pseudoinverse Linear Discriminant Analysis Method for Dimensionality Reduction. Int. J. Pattern Recognit. Artif. Intell. 26(1) (2012) - [j17]Alok Sharma, Seiya Imoto, Satoru Miyano:
A between-Class Overlapping Filter-Based Method for transcriptome Data Analysis. J. Bioinform. Comput. Biol. 10(5) (2012) - [j16]Alok Sharma, Seiya Imoto, Satoru Miyano, Vandana Sharma:
Null space based feature selection method for gene expression data. Int. J. Mach. Learn. Cybern. 3(4): 269-276 (2012) - [j15]Alok Sharma, Kuldip K. Paliwal:
A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices. Pattern Recognit. 45(6): 2205-2213 (2012) - [j14]Alok Sharma, Kuldip K. Paliwal:
A two-stage linear discriminant analysis for face-recognition. Pattern Recognit. Lett. 33(9): 1157-1162 (2012) - [j13]Alok Sharma, Seiya Imoto, Satoru Miyano:
A Top-r Feature Selection Algorithm for Microarray Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 754-764 (2012) - 2011
- [j12]Alok Sharma, Sunil Pranit Lal:
Tanimoto Based Similarity Measure for Intrusion Detection System. J. Information Security 2(4): 195-201 (2011) - 2010
- [j11]Kuldip K. Paliwal, Alok Sharma:
Improved direct LDA and its application to DNA microarray gene expression data. Pattern Recognit. Lett. 31(16): 2489-2492 (2010) - 2008
- [j10]Alok Sharma, Kuldip K. Paliwal:
Cancer classification by gradient LDA technique using microarray gene expression data. Data Knowl. Eng. 66(2): 338-347 (2008) - [j9]Alok Sharma, Kuldip K. Paliwal:
A Gradient Linear Discriminant Analysis for Small Sample Sized Problem. Neural Process. Lett. 27(1): 17-24 (2008) - [j8]Alok Sharma, Kuldip K. Paliwal:
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 20(10): 1336-1347 (2008) - 2007
- [j7]Alok Sharma, Arun K. Pujari, Kuldip K. Paliwal:
Intrusion detection using text processing techniques with a kernel based similarity measure. Comput. Secur. 26(7-8): 488-495 (2007) - [j6]Alok Sharma, Kuldip K. Paliwal:
Fast principal component analysis using fixed-point algorithm. Pattern Recognit. Lett. 28(10): 1151-1155 (2007) - [j5]Alok Sharma, Kuldip K. Paliwal:
Detecting masquerades using a combination of Naïve Bayes and weighted RBF approach. J. Comput. Virol. 3(3): 237-245 (2007) - 2006
- [j4]Alok Sharma, Kuldip K. Paliwal, Godfrey C. Onwubolu:
Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification. Pattern Recognit. 39(7): 1215-1229 (2006) - [j3]Alok Sharma, Kuldip K. Paliwal:
Subspace independent component analysis using vector kurtosis. Pattern Recognit. 39(11): 2227-2232 (2006) - 1995
- [j2]Alok Sharma, Rajiv Jain:
InSyn: integrated scheduling for DSP applications. IEEE Trans. Signal Process. 43(8): 1966-1977 (1995) - 1993
- [j1]Alok Sharma, Rajiv Jain:
Estimating architectural resources and performance for high-level synthesis applications. IEEE Trans. Very Large Scale Integr. Syst. 1(2): 175-190 (1993)
Conference and Workshop Papers
- 2022
- [c23]Alok Sharma, Srinivasa Ramanujam Kannan:
A Regression and Neural Network-Based Methodology to Improve Vertical Resolution of Matched Indian Ground Radar Reflectivity Observations. IGARSS 2022: 7245-7248 - 2021
- [c22]Vishnu Prasad, Richard Shallam, Alok Sharma, Delvin Varghese, Devansh Mehta:
A Hybrid Multi-Modal System for Conducting Virtual Workshops Using Interactive Voice Response and the WhatsApp Business API. CHI Extended Abstracts 2021: 408:1-408:6 - [c21]Priyanka Verma, Ananya Saxena, Alok Sharma, Bill Thies, Devansh Mehta:
Demo: A WhatsApp Bot for Citizen Journalism in Rural India. COMPASS 2021: 423-427 - [c20]Alok Sharma, Srinivasa Ramanujam Kannan:
Upscaling IMD Ground Radar Vertical Reflectivity Using TRMM PR Observations and Artificial Neural Network. IGARSS 2021: 7079-7082 - 2020
- [c19]Devansh Mehta, Alok Sharma, Ramaravind Kommiya Mothilal, Chiraag, Anurag Shukla, Vishnu Prasad, William Thies, Venkanna U, Colin Scott, Amit Sharma:
Facilitating Media Distribution with Monetary Incentives. CHI Extended Abstracts 2020: 1-7 - [c18]Devansh Mehta, Ramaravind Kommiya Mothilal, Alok Sharma, William Thies, Amit Sharma:
Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field. COMPASS 2020: 254-264 - [c17]Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali:
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi. LREC 2020: 2832-2838 - 2019
- [c16]Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, William Thies, Amit Sharma:
Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness. CSCW Companion 2019: 257-261 - [c15]Edwin Vans, Alok Sharma, Ashwini Patil, Daichi Shigemizu, Tatsuhiko Tsunoda:
Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection. PRICAI (3) 2019: 445-456 - [c14]Vineet Singh, Alok Sharma, Abel Avitesh Chandra, Abdollah Dehzangi, Daichi Shigemizu, Tatsuhiko Tsunoda:
Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction. PRICAI (3) 2019: 488-500 - [c13]Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda:
Subject-Specific-Frequency-Band for Motor Imagery EEG Signal Recognition Based on Common Spatial Spectral Pattern. PRICAI (2) 2019: 712-722 - 2017
- [c12]Alok Sharma, Anupam Shukla, Ritu Tiwari, Apoorva Mishra:
Mortality Prediction of ICU patients using Machine Leaning: A survey. ICCDA 2017: 49-53 - 2016
- [c11]Raneel Kumar, Sunil Pranit Lal, Alok Sharma:
Detecting Denial of Service Attacks in the Cloud. DASC/PiCom/DataCom/CyberSciTech 2016: 309-316 - [c10]Shiu Kumar, Ronesh Sharma, Alok Sharma, Tatsuhiko Tsunoda:
Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification. IJCNN 2016: 2090-2095 - 2015
- [c9]Aditya Dixit, Alok Sharma, Ankur Singh, Anupam Shukla:
Diagnosis of Parkinson Disease Patients Using Egyptian Vulture Optimization Algorithm. SEMCCO 2015: 92-103 - 2013
- [c8]Abdollah Dehzangi, Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdul Sattar:
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models. Australasian Conference on Artificial Intelligence 2013: 32-43 - [c7]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features. PRIB 2013: 196-207 - [c6]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy. PRIB 2013: 208-219 - 2011
- [c5]Alok Sharma, Les Miller, Sree Nilakanta:
Managing Knowledge for Organization-Wide Ad Hoc Committees. HICSS 2011: 1-10 - 1994
- [c4]Alok Sharma, Rajiv Jain:
Register Estimation from Behavioral Specifications. ICCD 1994: 576-580 - 1993
- [c3]Alok Sharma, Rajiv Jain:
InSyn: Integrated Scheduling for DSP Applications. DAC 1993: 349-354 - [c2]Alok Sharma, Rajiv Jain:
Estimating Architectural Resources and Performance for High-Level Synthesis Applications. DAC 1993: 355-360 - 1991
- [c1]Rajiv Jain, Ashutosh Mujumdar, Alok Sharma, Hueymin Wang:
Empirical Evaluation of Some High-Level Synthesis Scheduling Heuristics. DAC 1991: 686-689
Editorship
- 2019
- [e3]Abhaya C. Nayak, Alok Sharma:
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11670, Springer 2019, ISBN 978-3-030-29907-1 [contents] - [e2]Abhaya C. Nayak, Alok Sharma:
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11671, Springer 2019, ISBN 978-3-030-29910-1 [contents] - [e1]Abhaya C. Nayak, Alok Sharma:
PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11672, Springer 2019, ISBN 978-3-030-29893-7 [contents]
Reference Works
- 2019
- [r1]Yosvany López, Piotr J. Kamola, Ronesh Sharma, Daichi Shigemizu, Tatsuhiko Tsunoda, Alok Sharma:
Computational Pipelines and Workflows in Bioinformatics. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 113-134
Informal and Other Publications
- 2022
- [i4]Lingji Chen, Alok Sharma, Chinmay Shirore, Chengjie Zhang, Balarama Raju Buddharaju:
How to Backpropagate through Hungarian in Your DETR? CoRR abs/2211.14448 (2022) - [i3]Devansh Mehta, Harshita Diddee, Ananya Saxena, Anurag Shukla, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Vishnu Prasad, Venkanna U, Kalika Bali:
Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi. CoRR abs/2211.16172 (2022) - 2021
- [i2]Animesh Renanse, Rohitash Chandra, Alok Sharma:
Memory Capacity of Neural Turing Machines with Matrix Representation. CoRR abs/2104.07454 (2021) - 2020
- [i1]Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali:
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi. CoRR abs/2004.10270 (2020)
Coauthor Index
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