Jatin Bedi
Orcid: 0000-0002-9444-6200
According to our database1,
Jatin Bedi
authored at least 28 papers
between 2018 and 2024.
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Bibliography
2024
<i>DeepXplainer</i>: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.
Comput. Methods Programs Biomed., January, 2024
AgriResponse: A Real-Time Agricultural Query-Response Generation System for Assisting Nationwide Farmers.
IEEE Access, 2024
Transformers at HSD-2Lang 2024: Hate Speech Detection in Arabic and Turkish Tweets Using BERT Based Architectures.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024
2023
Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management.
Neural Comput. Appl., September, 2023
Autism spectrum disorder prediction using bidirectional stacked gated recurrent unit with time-distributor wrapper: an EEG study.
Neural Comput. Appl., May, 2023
MAG-D: A multivariate attention network based approach for cloud workload forecasting.
Future Gener. Comput. Syst., May, 2023
Expert Syst. Appl., 2023
AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data.
Eng. Appl. Artif. Intell., 2023
A mat-heuristics approach for electric vehicle route optimization under multiple recharging options and time-of-use energy prices.
Concurr. Comput. Pract. Exp., 2023
MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
2022
TransLearn: A clustering based knowledge transfer strategy for improved time series forecasting.
Knowl. Based Syst., 2022
Transfer learning augmented enhanced memory network models for reference evapotranspiration estimation.
Knowl. Based Syst., 2022
STOWP: A light-weight deep residual network integrated windowing strategy for storage workload prediction in cloud systems.
Eng. Appl. Artif. Intell., 2022
AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data.
Comput. Electron. Agric., 2022
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Detecting COVID-19 Vaccine Stance and Symptom Reporting from Tweets using Contextual Embeddings.
Proceedings of the Working Notes of FIRE 2022, 2022
ARGUABLY@SMM4H'22: Classification of Health Related Tweets using Ensemble, Zero-Shot and Fine-Tuned Language Model.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022
ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022
2021
Proceedings of the Working Notes of FIRE 2021, 2021
2020
Neural Comput. Appl., 2020
Energy load time-series forecast using decomposition and autoencoder integrated memory network.
Appl. Soft Comput., 2020
Proceedings of the ECML PKDD 2020 Workshops, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
2018
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex.
CoRR, 2018
CoRR, 2018
IEEE Access, 2018
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018