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ORCIDDeepa Gupta
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j34]Priyanka C. Nair, Deepa Gupta
, Bhagavatula Indira Devi, Vani Kanjirangat, Deepak P:
Predicting Tumor Type and Residual Status of Suprasellar Lesions Using Indian Discharge Summaries. IEEE Access 12: 134379-134410 (2024)- [j33]Abdulqahar Mukhtar Abubakar, Deepa Gupta, Susmitha Vekkot:
Development of a diacritic-aware large vocabulary automatic speech recognition for Hausa language. Int. J. Speech Technol. 27(3): 687-700 (2024) - [j32]Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Parastoo Falakaflaki, Elena Kayayan, Guanyu Tao, Mahta Haghighat Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo:
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant. J. Am. Medical Informatics Assoc. 31(9): 1884-1891 (2024) - 2023
- [j31]Susmitha Vekkot, Nagulapati Naga Venkata Sai Prakash, Thirupati Sai Eswar Reddy, Satwik Reddy Sripathi, S. Lalitha, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Dementia Speech Dataset Creation and Analysis in Indic Languages - A Pilot Study. IEEE Access 11: 130697-130718 (2023) - [j30]G. Veena, Deepa Gupta, Vani Kanjirangat:
Semi-Supervised Bootstrapped Syntax-Semantics-Based Approach for Agriculture Relation Extraction for Knowledge Graph Creation and Reasoning. IEEE Access 11: 138375-138398 (2023) - [j29]Veena G, Vani Kanjirangat, Deepa Gupta:
AGRONER: An unsupervised agriculture named entity recognition using weighted distributional semantic model. Expert Syst. Appl. 229(Part A): 120440 (2023) - [j28]Deepa Gupta, Xiaoming Du, Ann Summerfelt, L. Elliot Hong, Fow-Sen Choa:
Brain Connectivity Signature Extractions from TMS Invoked EEGs. Sensors 23(8): 4078 (2023) - [c48]Shanmukha Aditya G, Kruthika B, Venkata Sneha G, Deepa Gupta, T. V. Smitha, Asha S. Manek:
Exploration of the Impact of Remote work and Online Education on Visual Health during the COVID-19 using Machine Learning Approaches. ICCCNT 2023: 1-7 - [c47]Agashini V. Kumar, Deepa Gupta, Manju Venugopalan:
Cyberbullying Text Classification for Social Media Data Using Embedding And Deep Learning Approaches. ICCCNT 2023: 1-6 - [c46]Shivkumar S, Deepa Gupta, Deepika Manippady Gopalkrishna:
An Empirical Analysis of Relationship between Economic Growth and Freedom: A Cross Country Study using Machine Learning Approach. ICCCNT 2023: 1-7 - [c45]Paliwal Mohan Subhash, Deepa Gupta, Suja Palaniswamy, Manju Venugopalan:
Fake News Detection Using Deep Learning and Transformer-Based Model. ICCCNT 2023: 1-6 - [i1]Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Mahta Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo:
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant. CoRR abs/2307.08152 (2023) - 2022
- [j27]Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, Krishna Kant Singh, Akansha Singh, Muthukumaran Venkatesan, Deepa Gupta:
6G enabled federated learning for secure IoMT resource recommendation and propagation analysis. Comput. Electr. Eng. 102: 108210 (2022) - [j26]Tina Babu, Tripty Singh, Deepa Gupta, Shahin Hameed:
Optimized cancer detection on various magnified histopathological colon images based on DWT features and FCM clustering. Turkish J. Electr. Eng. Comput. Sci. 30(1): 1-17 (2022) - [j25]Manju Venugopalan, Deepa Gupta:
A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis. Expert Syst. Appl. 209: 118228 (2022) - [j24]Nada M. Elfatih, Mohammad Kamrul Hasan, Zeinab Kamal, Deepa Gupta, Rashid A. Saeed, Elmustafa Sayed Ali, Md. Sarwar Hosain:
Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends. IET Commun. 16(5): 400-420 (2022) - [j23]Susmitha Vekkot, Deepa Gupta:
Fusion of spectral and prosody modelling for multilingual speech emotion conversion. Knowl. Based Syst. 242: 108360 (2022) - [j22]Manju Venugopalan, Deepa Gupta:
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis. Knowl. Based Syst. 246: 108668 (2022) - [j21]M. Rupesh Kumar, Susmitha Vekkot, S. Lalitha, Deepa Gupta, Varasiddhi Jayasuryaa Govindraj, Kamran Shaukat, Yousef Ajami Alotaibi, Mohammed Zakariah:
Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures. Sensors 22(23): 9311 (2022) - [c44]Veena G, Deepa Gupta, Vani Kanjirangat:
Semi Supervised Approach for Relation Extraction in Agriculture Documents. OCIT 2022: 199-204 - [c43]Shailashree K. Sheshadri, Deepa Gupta, Marta Ruiz Costa-jussà:
Neural Machine Translation for Kashmiri to English and Hindi using Pre-trained Embeddings. OCIT 2022: 238-243 - [c42]Priyanka Prabhakar, Deepa Gupta, Peeta Basa Pati:
Abstractive Summarization of Indian Legal Judgments. OCIT 2022: 256-261 - [c41]Mohammed Azam Sayeed, Deepa Gupta:
Automate Descriptive Answer Grading using Reference based Models. OCIT 2022: 262-267 - [c40]Dipshikha Biswas, Suneel Nadipalli, B. Sneha, Deepa Gupta, Joseph Amudha:
Natural Question Generation using Transformers and Reinforcement Learning. OCIT 2022: 283-288 - [c39]Smita Srivastava, Deepa Gupta, Biswajit Paul, Shubhashisa Sahoo:
A Reinforced Active Learning Sampling for Cybersecurity NER Data Annotation. OCIT 2022: 312-317 - [c38]A. Akhilesh, P. Brinda, Keerthana S., Deepa Gupta, Susmitha Vekkot:
Tamil Speech Recognition Using XLSR Wav2Vec2.0 & CTC Algorithm. ICCCNT 2022: 1-6 - [c37]Surya Teja Chavali, Charan Tej Kandavalli, Sugash T. M, Deepa Gupta:
A Study on Named Entity Recognition with Different Word Embeddings on GMB Dataset using Deep Learning Pipelines. ICCCNT 2022: 1-5 - [c36]Sai Surya Teja Gontumukkala, Yogeshwara Sai Varun Godavarthi, Bhanu Rama Ravi Teja Gonugunta, Deepa Gupta, Suja Palaniswamy:
Quora Question Pairs Identification and Insincere Questions Classification. ICCCNT 2022: 1-6 - [c35]Mathi Rohith, Mothukuri Jaswanth Venkat, Pasumarthy Venkata Akhil, Mandiga Sahasra Sai Tarun, Deepa Gupta:
Telugu Paraphrase Detection Using Siamese Network. ICCCNT 2022: 1-6 - [c34]Shailashree K. Sheshadri, B. Sai Bharath, Alapati Hari Naga Sree Chandana Sarvani, Potta Reddy Vijaya Bharathi Reddy, Deepa Gupta:
Unsupervised Neural Machine Translation for English to Kannada Using Pre-Trained Language Model. ICCCNT 2022: 1-5 - [c33]Shailashree K. Sheshadri, Akula Dhanush, Nadella Venkata Sai Pradyumna, Satwik Reddy Sripathi, Deepa Gupta:
Reordering Based Unsupervised Neural Machine Translation system for English To Telugu. ICCCNT 2022: 1-6 - [c32]Kuenzang Lhamo, Deepa Gupta, Alka Chaudhary, Anil Kumar:
Technology & HealthCare in the Coming Era. ICCCS 2022: 1-5 - 2021
- [j20]Palli Padmini, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi, Kaustav Bhowmick:
A Simple Speech Production System Based on Formant Estimation of a Tongue Articulatory System Using Human Tongue Orientation. IEEE Access 9: 4688-4710 (2021) - [j19]Tina Babu, Tripty Singh, Deepa Gupta, Shahin Hameed:
Colon cancer prediction on histological images using deep learning features and Bayesian optimized SVM. J. Intell. Fuzzy Syst. 41(5): 5275-5286 (2021) - [j18]S. Lalitha, Deepa Gupta:
Investigation of automatic mixed-lingual affective state recognition system for diverse Indian languages. J. Intell. Fuzzy Syst. 41(5): 5467-5476 (2021) - [j17]Chinmayee Ojha, Manju Venugopalan, Deepa Gupta:
A rule based approach for aspect extraction in hindi reviews. J. Intell. Fuzzy Syst. 41(5): 5477-5485 (2021) - [j16]Radhakrishnan Gopalapillai, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Convolution-Based Encoding of Depth Images for Transfer Learning in RGB-D Scene Classification. Sensors 21(23): 7950 (2021) - [j15]Deepa Gupta, Ann Summerfelt, Jennifer Luzhansky, Daniel Li, L. Elliot Hong, Fow-Sen Choa:
LEDA-Localized-EEG Dynamics Analyzer: a MATLAB-Based Innovative Toolbox for Analysis of EEG Source Dynamics. J. Signal Process. Syst. 93(8): 951-964 (2021) - 2020
- [j14]Susmitha Vekkot, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network. IEEE Access 8: 74627-74647 (2020) - [j13]Swati Sanagar, Deepa Gupta:
Unsupervised Genre-Based Multidomain Sentiment Lexicon Learning Using Corpus-Generated Polarity Seed Words. IEEE Access 8: 118050-118071 (2020) - [j12]Tina Babu, Tripty Singh, Deepa Gupta:
IET Image Processing. IET Image Process. 14(16): 4144-4157 (2020) - [j11]Susmitha Vekkot, Deepa Gupta:
Speaker-independent expressive voice synthesis using learning-based hybrid network model. Int. J. Speech Technol. 23(3): 597-613 (2020) - [j10]Swati Sanagar, Deepa Gupta:
Automated genre-based multi-domain sentiment lexicon adaptation using unlabeled data. J. Intell. Fuzzy Syst. 38(5): 6223-6234 (2020)
2010 – 2019
- 2019
- [j9]Susmitha Vekkot, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Hybrid Framework for Speaker-Independent Emotion Conversion Using i-Vector PLDA and Neural Network. IEEE Access 7: 81883-81902 (2019) - [j8]S. Lalitha, Shikha Tripathi, Deepa Gupta:
Enhanced speech emotion detection using deep neural networks. Int. J. Speech Technol. 22(3): 497-510 (2019) - [j7]Susmitha Vekkot, Deepa Gupta:
Prosodic transformation in vocal emotion conversion for multi-lingual scenarios: a pilot study. Int. J. Speech Technol. 22(3): 533-549 (2019) - [j6]P. Murali Krishna, R. Pradeep Reddy, Veena Narayanan, S. Lalitha, Deepa Gupta:
Affective state recognition using audio cues. J. Intell. Fuzzy Syst. 36(3): 2147-2154 (2019) - [c31]Manju Venugopalan, Deepa Gupta, Vartika Bhatia:
A Supervised Approach to Aspect Term Extraction Using Minimal Robust Features for Sentiment Analysis. ICACIE (2) 2019: 237-251 - [c30]Krishna Mohan, Priyanka C. Nair, Deepa Gupta, Ravi C. Nayar, Amritanshu Ram:
Extraction of Relation Between Attributes and Class in Breast Cancer Data Using Rule Mining Techniques. ICACIE (2) 2019: 342-352 - [c29]Anupriya Shrivastava, Joseph Amudha, Deepa Gupta, Kshitij Sharma:
Deep Learning Model for Text Recognition in Images. ICCCNT 2019: 1-6 - [c28]Deepa Gupta, Xiaoming Du, L. Elliot Hong, Fow-Sen Choa:
TMS-EEG based Source Localized Connectivity Signature Extraction by using Unsupervised Machine Learning. NER 2019: 1216-1219 - [c27]Susmitha Vekkot, Deepa Gupta:
Emotion Conversion in Telugu using Constrained Variance GMM and Continuous Wavelet Transform-$F_{0}$. TENCON 2019: 991-996 - 2018
- [j5]Vani K., Deepa Gupta:
Unmasking text plagiarism using syntactic-semantic based natural language processing techniques: Comparisons, analysis and challenges. Inf. Process. Manag. 54(3): 408-432 (2018) - [j4]Vani K., Deepa Gupta:
Integrating syntax-semantic-based text analysis with structural and citation information for scientific plagiarism detection. J. Assoc. Inf. Sci. Technol. 69(11): 1330-1345 (2018) - [c26]Ramanathan Rahul, Sreebha Bhaskaran, Joseph Amudha, Deepa Gupta:
Multilingual Text Detection and Identification from Indian Signage Boards. ICACCI 2018: 1120-1125 - [c25]Sukhavasi Narendranath, Sangita Khare, Deepa Gupta, Amalendu Jyotishi:
Characteristics of 'Escaping' and 'Falling into' Poverty in India: An Analysis of IHDS Panel Data using machine learning approach. ICACCI 2018: 1391-1397 - [c24]T. Sahana, Naga Srilasya, K. Jeeva Priya, Deepa Gupta, S. Vinay:
Comparison of different Acoustic Models for Kannada language using Kaldi Toolkit. ICACCI 2018: 2415-2420 - 2017
- [j3]Vani K., Deepa Gupta:
Detection of idea plagiarism using syntax-Semantic concept extractions with genetic algorithm. Expert Syst. Appl. 73: 11-26 (2017) - [j2]Vani K., Deepa Gupta:
Text plagiarism classification using syntax based linguistic features. Expert Syst. Appl. 88: 448-464 (2017) - [c23]G. Veena, Deepa Gupta, Anna Neethu Daniel, S. Roshny:
A learning method for coreference resolution using semantic role labeling features. ICACCI 2017: 67-72 - [c22]G. Veena, S. Athulya, Salma Shaji, Deepa Gupta:
A graph-based relation extraction method for question answering system. ICACCI 2017: 944-949 - [c21]Poonam Salunkhe, Sreebha Bhaskaran, Joseph Amudha, Deepa Gupta:
Recognition of multilingual text from signage boards. ICACCI 2017: 977-982 - [c20]Nair Akash Anilkumar, Deepa Gupta, Sangita Khare, Deepika Manippady Gopalkrishna, Amalendu Jyotishi:
Characteristics and causes of malnutrition across Indian states: A cluster analysis based on Indian demographic and health survey data. ICACCI 2017: 2115-2123 - 2016
- [c19]Vani K., Deepa Gupta:
ASE@DPIL-FIRE2016: Hindi Paraphrase Detection using Natural Language Processing Techniques & Semantic Similarity Computations. FIRE (Working Notes) 2016: 244-249 - 2015
- [c18]Riya Ravi N, Deepa Gupta:
Efficient Paragraph based Chunking and Download Filtering for Plagiarism Source Retrieval. CLEF (Working Notes) 2015 - [c17]Manju Venugopalan, Deepa Gupta:
Exploring sentiment analysis on twitter data. IC3 2015: 241-247 - [c16]Vani K., Deepa Gupta:
Investigating the impact of combined similarity metrics and POS tagging in extrinsic text plagiarism detection system. ICACCI 2015: 1578-1584 - [c15]Manju Venugopalan, Deepa Gupta:
Sentiment Classification for Hindi Tweets in a Constrained Environment Augmented Using Tweet Specific Features. MIKE 2015: 664-670 - [c14]M. Reshma, Priyanka C. Nair, Radhakrishnan Gopalapillai, Deepa Gupta, T. S. B. Sudarshan:
Multi-view Robotic Time Series Data Clustering and Analysis Using Data Mining Techniques. SIRS 2015: 521-531 - [e1]Manish Parashar, Tirumale Ramesh, Jaric Zola, Nanjangud C. Narendra, Kishore Kothapalli, Joseph Amudha, Purushotham V. Bangalore, Deepa Gupta, Animesh Pathak, Sanjay Chaudhary, K. V. Dinesha, Sushil K. Prasad:
Eighth International Conference on Contemporary Computing, IC3 2015, Noida, India, August 20-22, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-7947-2 [contents] - 2014
- [c13]K. Sai Vishnu, T. Apoorva, Deepa Gupta:
Learning domain-specific and domain-independent opinion oriented lexicons using multiple domain knowledge. IC3 2014: 318-323 - [c12]Deepa Gupta, Vani K., Charan Kamal Singh:
Using Natural Language Processing techniques and fuzzy-semantic similarity for automatic external plagiarism detection. ICACCI 2014: 2694-2699 - 2013
- [c11]C. Priyanka, Deepa Gupta:
Identifying the best feature combination for sentiment analysis of customer reviews. ICACCI 2013: 102-108 - [c10]Radhakrishnan Gopalapillai, Deepa Gupta, T. S. B. Sudarshan:
Experimentation and Analysis of Time Series Data for Rescue Robotics. ISI 2013: 443-453 - 2012
- [c9]G. Radhakrishnan, Deepa Gupta, R. Abhishek, Ankita Ajith, T. S. B. Sudarshan:
Analysis of multimodal time series data of robotic environment. ISDA 2012: 734-739 - 2010
- [j1]Bernardo Cockburn, Deepa Gupta, Fernando Reitich:
Boundary-Conforming Discontinuous Galerkin Methods via Extensions from Subdomains. J. Sci. Comput. 42(1): 144-184 (2010) - [c8]Eknath Venkataramani, Deepa Gupta:
English-Hindi Automatic Word Alignment with Scarce Resources. IALP 2010: 253-256 - [c7]Rahul Kumar Yadav, Deepa Gupta:
Annotation Guidelines for Hindi-English Word Alignment. IALP 2010: 293-296
2000 – 2009
- 2007
- [c6]Daniele Falavigna, Nicola Bertoldi, Fabio Brugnara, Roldano Cattoni, Mauro Cettolo, Boxing Chen, Marcello Federico, Diego Giuliani, Roberto Gretter, Deepa Gupta, Dino Seppi:
The IRST English-Spanish translation system for european parliament speeches. INTERSPEECH 2007: 2833-2836 - [c5]Deepa Gupta, Mauro Cettolo, Marcello Federico:
POS-based reordering models for statistical machine translation. MTSummit 2007 - 2006
- [c4]Deepa Gupta, Marcello Federico:
Exploiting Word Transformation in Statistical Machine Translation from Spanish to English. EAMT 2006 - [c3]Adrià de Gispert, Deepa Gupta, Maja Popovic, Patrik Lambert, José B. Mariño, Marcello Federico, Hermann Ney, Rafael E. Banchs:
Improving Statistical Word Alignments with Morpho-syntactic Transformations. FinTAL 2006: 368-379 - [c2]Maja Popovic, Adrià de Gispert, Deepa Gupta, Patrik Lambert, Hermann Ney, José B. Mariño, Marcello Federico, Rafael E. Banchs:
Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output. WMT@HLT-NAACL 2006: 1-6 - 2003
- [c1]Deepa Gupta, Niladri Chatterjee:
Identification of divergence for English to Hindi EBMT. MTSummit 2003
Coauthor Index
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last updated on 2024-10-09 21:29 CEST by the dblp team
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