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Deepa Gupta
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2020 – today
- 2024
- [j35]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) - [j34]Abdulqahar Mukhtar Abubakar
Development of a diacritic-aware large vocabulary automatic speech recognition for Hausa language. Int. J. Speech Technol. 27(3): 687-700 (2024) - [j33]Jingqing Zhang
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
- [j32]Susmitha Vekkot
Dementia Speech Dataset Creation and Analysis in Indic Languages - A Pilot Study. IEEE Access 11: 130697-130718 (2023) - [j31]G. Veena
Semi-Supervised Bootstrapped Syntax-Semantics-Based Approach for Agriculture Relation Extraction for Knowledge Graph Creation and Reasoning. IEEE Access 11: 138375-138398 (2023) - [j30]Veena G, Vani Kanjirangat
AGRONER: An unsupervised agriculture named entity recognition using weighted distributional semantic model. Expert Syst. Appl. 229(Part A): 120440 (2023) - [j29]Suraj Khari, Deepa Gupta, Alka Chaudhary, Ruchika Bhatla:
A Novel Approach to Identify the Brain Tumour Using Convolutional Neural Network. EAI Endorsed Trans. Pervasive Health Technol. 9(1) (2023) - [j28]Deepa Gupta, Xiaoming Du
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
6G enabled federated learning for secure IoMT resource recommendation and propagation analysis. Comput. Electr. Eng. 102: 108210 (2022) - [j26]Tina Babu, Tripty Singh
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
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
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
Technology & HealthCare in the Coming Era. ICCCS 2022: 1-5 - 2021
- [j20]Palli Padmini, Deepa Gupta
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
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
Convolution-Based Encoding of Depth Images for Transfer Learning in RGB-D Scene Classification. Sensors 21(23): 7950 (2021) - [j15]Deepa Gupta
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
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
Unsupervised Genre-Based Multidomain Sentiment Lexicon Learning Using Corpus-Generated Polarity Seed Words. IEEE Access 8: 118050-118071 (2020) - [j12]Tina Babu, Tripty Singh
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
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
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
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.
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.
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
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.
Detection of idea plagiarism using syntax-Semantic concept extractions with genetic algorithm. Expert Syst. Appl. 73: 11-26 (2017) - [j2]Vani K.
Text plagiarism classification using syntax based linguistic features. Expert Syst. Appl. 88: 448-464 (2017) - [c23]G. Veena
A learning method for coreference resolution using semantic role labeling features. ICACCI 2017: 67-72 - [c22]G. Veena
A graph-based relation extraction method for question answering system. ICACCI 2017: 944-949 - [c21]Poonam Salunkhe, Sreebha Bhaskaran, Joseph Amudha
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
Exploring sentiment analysis on twitter data. IC3 2015: 241-247 - [c16]Vani K.
Investigating the impact of combined similarity metrics and POS tagging in extrinsic text plagiarism detection system. ICACCI 2015: 1578-1584 - [c15]Manju Venugopalan
Sentiment Classification for Hindi Tweets in a Constrained Environment Augmented Using Tweet Specific Features. MIKE 2015: 664-670 - [c14]M. Reshma, Priyanka C. Nair
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
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
Experimentation and Analysis of Time Series Data for Rescue Robotics. ISI 2013: 443-453 - 2012
- [c9]G. Radhakrishnan, Deepa Gupta
Analysis of multimodal time series data of robotic environment. ISDA 2012: 734-739 - 2010
- [j1]Bernardo Cockburn
Boundary-Conforming Discontinuous Galerkin Methods via Extensions from Subdomains. J. Sci. Comput. 42(1): 144-184 (2010) - [c8]Eknath Venkataramani
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 2024-12-10 20:48 CET by the dblp team
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