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Jatin Bedi
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2020 – today
- 2024
- [j23]Samarth Godara, Jatin Bedi, Rajender Parsad, Deepak Singh, Ram Swaroop Bana, Sudeep Marwaha:
AgriResponse: A Real-Time Agricultural Query-Response Generation System for Assisting Nationwide Farmers. IEEE Access 12: 294-311 (2024) - [j22]Tanya Srivastava, Ishita Mullick
, Jatin Bedi:
Association mining based deep learning approach for financial time-series forecasting. Appl. Soft Comput. 155: 111469 (2024) - [j21]Ashima Anand, Jatin Bedi, Imad Rida
MIWET: Medical image watermarking using encryption and fusion technique. Comput. Electr. Eng. 115: 109114 (2024) - [j20]Gurjot Singh
A feature extraction and time warping based neural expansion architecture for cloud resource usage forecasting. Clust. Comput. 27(4): 4963-4982 (2024) - [j19]Niyaz Ahmad Wani
DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence. Comput. Methods Programs Biomed. 243: 107879 (2024) - [j18]Niyaz Ahmad Wani
Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations. Eng. Appl. Artif. Intell. 136: 108939 (2024) - [j17]Niyaz Ahmad Wani, Ravinder Kumar, Mamta, Jatin Bedi, Imad Rida
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare. Inf. Fusion 110: 102472 (2024) - [j16]Ashima Anand, Jatin Bedi, Ashutosh Aggarwal, Muhammad Attique Khan, Imad Rida
Authenticating and securing healthcare records: A deep learning-based zero watermarking approach. Image Vis. Comput. 145: 104975 (2024) - [j15]Gurjot Singh
A federated and transfer learning based approach for households load forecasting. Knowl. Based Syst. 299: 111967 (2024) - [j14]Triambak Sharma
Wave Height Prediction in Maritime Transportation Using Decomposition Based Learning. IEEE Trans. Intell. Transp. Syst. 25(5): 4304-4313 (2024) - [c12]Kriti Singhal, Jatin Bedi:
Transformers at HSD-2Lang 2024: Hate Speech Detection in Arabic and Turkish Tweets Using BERT Based Architectures. CASE 2024: 190-194 - [c11]Kriti Singhal, Jatin Bedi:
Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTa. SemEval@NAACL 2024: 969-972 - 2023
- [j13]Ashwani Kumar, Ashutosh Aggarwal
A mat-heuristics approach for electric vehicle route optimization under multiple recharging options and time-of-use energy prices. Concurr. Comput. Pract. Exp. 35(27) (2023) - [j12]Samarth Godara, Durga Toshniwal, Ram Swaroop Bana, Deepak Singh, Jatin Bedi, Rajender Parsad, Jai Prakash Singh Dabas, Abimanyu Jhajhria, Shruti Godara, Raju Kumar
AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data. Eng. Appl. Artif. Intell. 117(Part): 105555 (2023) - [j11]Joohi Chauhan
EffViT-COVID: A dual-path network for COVID-19 percentage estimation. Expert Syst. Appl. 213(Part): 118939 (2023) - [j10]Yashwant Singh Patel, Jatin Bedi:
MAG-D: A multivariate attention network based approach for cloud workload forecasting. Future Gener. Comput. Syst. 142: 376-392 (2023) - [j9]Tanu Wadhera, Jatin Bedi, Saurabh Sharma:
Autism spectrum disorder prediction using bidirectional stacked gated recurrent unit with time-distributor wrapper: an EEG study. Neural Comput. Appl. 35(13): 9803-9818 (2023) - [j8]Sarthak Babbar, Jatin Bedi:
Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management. Neural Comput. Appl. 35(26): 19465-19479 (2023) - [c10]Arjun Khanchandani, Nitansh Jain, Jatin Bedi:
MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup. SemEval@ACL 2023: 1096-1101 - 2022
- [j7]Samarth Godara, Durga Toshniwal, Rajender Parsad, Ram Swaroop Bana
AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data. Comput. Electron. Agric. 201: 107308 (2022) - [j6]Jatin Bedi, Yashwant Singh Patel:
STOWP: A light-weight deep residual network integrated windowing strategy for storage workload prediction in cloud systems. Eng. Appl. Artif. Intell. 115: 105303 (2022) - [j5]Jatin Bedi:
Transfer learning augmented enhanced memory network models for reference evapotranspiration estimation. Knowl. Based Syst. 237: 107717 (2022) - [j4]Guneet Singh Kohli
TransLearn: A clustering based knowledge transfer strategy for improved time series forecasting. Knowl. Based Syst. 249: 108889 (2022) - [c9]Guneet Singh Kohli, Prabsimran Kaur, Jatin Bedi:
ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification. CASE@EMNLP 2022: 143-148 - [c8]Prabsimran Kaur, Guneet Singh Kohli, Jatin Bedi:
ARGUABLY@SMM4H'22: Classification of Health Related Tweets using Ensemble, Zero-Shot and Fine-Tuned Language Model. SMM4H@COLING 2022: 138-142 - [c7]Akshit Bansal, Rohit Jain, Jatin Bedi:
Detecting COVID-19 Vaccine Stance and Symptom Reporting from Tweets using Contextual Embeddings. FIRE (Working Notes) 2022: 361-368 - [c6]Atharvan Dogra, Prabsimran Kaur, Guneet Singh Kohli, Jatin Bedi:
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition. SemEval@NAACL 2022: 1576-1582 - 2021
- [c5]Guneet Singh Kohli, Prabsimran Kaur, Jatin Bedi:
Automatic Detection of Rhetorical Role Labels using ERNIE2.0 and RoBERTa. FIRE (Working Notes) 2021: 581-588 - 2020
- [j3]Jatin Bedi, Durga Toshniwal:
Energy load time-series forecast using decomposition and autoencoder integrated memory network. Appl. Soft Comput. 93: 106390 (2020) - [j2]Jatin Bedi, Durga Toshniwal:
Features denoising-based learning for porosity classification. Neural Comput. Appl. 32(21): 16519-16532 (2020) - [c4]Jatin Bedi:
Attention Based Mechanism for Load Time Series Forecasting: AN-LSTM. ICANN (1) 2020: 838-849 - [c3]Jatin Bedi, Durga Toshniwal:
Data Decomposition Based Learning for Load Time-Series Forecasting. PKDD/ECML Workshops 2020: 62-74
2010 – 2019
- 2019
- [c2]Amit Agarwal, Durga Toshniwal, Jatin Bedi:
Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study. PKDD/ECML Workshops (2) 2019: 38-53 - 2018
- [j1]Jatin Bedi
Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting. IEEE Access 6: 49144-49156 (2018) - [c1]Jatin Bedi, Durga Toshniwal:
Parallel Framework for Unsupervised Classification of Seismic Facies. MLDM (2) 2018: 452-467 - [i2]Jatin Bedi, Durga Toshniwal:
SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF. CoRR abs/1806.00193 (2018) - [i1]Amit Agarwal, Brijraj Singh, Jatin Bedi, Durga Toshniwal:
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. CoRR abs/1809.00310 (2018)
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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