Parallel Framework for Unsupervised Classification of Seismic Facies. - Jatin Bedi; Durga Toshniwal (MLDM (2), 2018)

Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting. - Jatin Bedi; Durga Toshniwal (IEEE Access, 2018)

SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF. - Jatin Bedi; Durga Toshniwal (CoRR, 2018)

A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. - Amit Agarwal 005; Brijraj Singh; Jatin Bedi; Durga Toshniwal (CoRR, 2018)

Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study. - Amit Agarwal 005; Durga Toshniwal; Jatin Bedi (PKDD/ECML Workshops (2), 2019)

Attention Based Mechanism for Load Time Series Forecasting: AN-LSTM. - Jatin Bedi (ICANN (1), 2020)

Data Decomposition Based Learning for Load Time-Series Forecasting. - Jatin Bedi; Durga Toshniwal (PKDD/ECML Workshops, 2020)

Energy load time-series forecast using decomposition and autoencoder integrated memory network. - Jatin Bedi; Durga Toshniwal (Appl. Soft Comput., 2020)

Features denoising-based learning for porosity classification. - Jatin Bedi; Durga Toshniwal (Neural Comput. Appl., 2020)

Automatic Detection of Rhetorical Role Labels using ERNIE2.0 and RoBERTa. - Guneet Singh Kohli; Prabsimran Kaur; Jatin Bedi (FIRE (Working Notes), 2021)

ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification. - Guneet Singh Kohli; Prabsimran Kaur; Jatin Bedi (CASE@EMNLP, 2022)

ARGUABLY@SMM4H'22: Classification of Health Related Tweets using Ensemble, Zero-Shot and Fine-Tuned Language Model. - Prabsimran Kaur; Guneet Singh Kohli; Jatin Bedi (SMM4H@COLING, 2022)

Detecting COVID-19 Vaccine Stance and Symptom Reporting from Tweets using Contextual Embeddings. - Akshit Bansal; Rohit Jain; Jatin Bedi (FIRE (Working Notes), 2022)

Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition. - Atharvan Dogra; Prabsimran Kaur; Guneet Singh Kohli; Jatin Bedi (SemEval@NAACL, 2022)

AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers' helpline data. - Samarth Godara; Durga Toshniwal; Rajender Parsad; Ram Swaroop Bana; Deepak Singh; Jatin Bedi; Abimanyu Jhajhria; Jai Prakash Singh Dabas; Sudeep Marwaha (Comput. Electron. Agric., 2022)

STOWP: A light-weight deep residual network integrated windowing strategy for storage workload prediction in cloud systems. - Jatin Bedi; Yashwant Singh Patel (Eng. Appl. Artif. Intell., 2022)

Transfer learning augmented enhanced memory network models for reference evapotranspiration estimation. - Jatin Bedi (Knowl. Based Syst., 2022)

TransLearn: A clustering based knowledge transfer strategy for improved time series forecasting. - Guneet Singh Kohli; Prabsimran Kaur; Alamjeet Singh; Jatin Bedi (Knowl. Based Syst., 2022)

MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup. - Arjun Khanchandani; Nitansh Jain; Jatin Bedi (SemEval@ACL, 2023)

A mat-heuristics approach for electric vehicle route optimization under multiple recharging options and time-of-use energy prices. - Ashwani Kumar; Ashutosh Aggarwal; Anu Rani; Jatin Bedi; Ravinder Kumar 002 (Concurr. Comput. Pract. Exp., 2023)

AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data. - Samarth Godara; Durga Toshniwal; Ram Swaroop Bana; Deepak Singh; Jatin Bedi; Rajender Parsad; Jai Prakash Singh Dabas; Abimanyu Jhajhria; Shruti Godara; Raju Kumar; Sudeep Marwaha (Eng. Appl. Artif. Intell., 2023)

EffViT-COVID: A dual-path network for COVID-19 percentage estimation. - Joohi Chauhan; Jatin Bedi (Expert Syst. Appl., 2023)

MAG-D: A multivariate attention network based approach for cloud workload forecasting. - Yashwant Singh Patel; Jatin Bedi (Future Gener. Comput. Syst., 2023)

Autism spectrum disorder prediction using bidirectional stacked gated recurrent unit with time-distributor wrapper: an EEG study. - Tanu Wadhera; Jatin Bedi; Saurabh Sharma (Neural Comput. Appl., 2023)

Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management. - Sarthak Babbar; Jatin Bedi (Neural Comput. Appl., 2023)

Transformers at HSD-2Lang 2024: Hate Speech Detection in Arabic and Turkish Tweets Using BERT Based Architectures. - Kriti Singhal; Jatin Bedi (CASE, 2024)

A Novel Integration of Federated Learning and LSTM for Synthetic Time Series Generation. - Gurjot Singh; Pritika Sharma; Jatin Bedi (EPIA (3), 2024)

Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTa. - Kriti Singhal; Jatin Bedi (SemEval@NAACL, 2024)

AgriResponse: A Real-Time Agricultural Query-Response Generation System for Assisting Nationwide Farmers. - Samarth Godara; Jatin Bedi; Rajender Parsad; Deepak Singh; Ram Swaroop Bana; Sudeep Marwaha (IEEE Access, 2024)

Association mining based deep learning approach for financial time-series forecasting. - Tanya Srivastava; Ishita Mullick; Jatin Bedi (Appl. Soft Comput., 2024)

MIWET: Medical image watermarking using encryption and fusion technique. - Ashima Anand; Jatin Bedi; Imad Rida (Comput. Electr. Eng., 2024)

rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG. - Shreya Srivastava; Durgesh Kumar; Jatin Bedi; Sandeep Seth; Deepak Sharma (CoRR, 2024)

Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations. - Niyaz Ahmad Wani; Ravinder Kumar 002; Jatin Bedi (Eng. Appl. Artif. Intell., 2024)

Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare. - Niyaz Ahmad Wani; Ravinder Kumar 002; Mamta; Jatin Bedi; Imad Rida (Inf. Fusion, 2024)

Authenticating and securing healthcare records: A deep learning-based zero watermarking approach. - Ashima Anand; Jatin Bedi; Ashutosh Aggarwal; Muhammad Attique Khan; Imad Rida (Image Vis. Comput., 2024)

A federated and transfer learning based approach for households load forecasting. - Gurjot Singh; Jatin Bedi (Knowl. Based Syst., 2024)

DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence. - Niyaz Ahmad Wani; Ravinder Kumar 002; Jatin Bedi (Comput. Methods Programs Biomed., 2024)

Wave Height Prediction in Maritime Transportation Using Decomposition Based Learning. - Triambak Sharma; Jatin Bedi; Ashima Anand; Ashutosh Aggarwal (IEEE Trans. Intell. Transp. Syst., 2024)

A feature extraction and time warping based neural expansion architecture for cloud resource usage forecasting. - Gurjot Singh; Prajit Sengupta; Anant Mehta; Jatin Bedi (Clust. Comput., 2024)

DiaXplain: A transparent and interpretable artificial intelligence approach for Type-2 diabetes diagnosis through deep learning. - Sharandeep Singh; Niyaz Ahmad Wani; Ravinder Kumar 002; Jatin Bedi (Comput. Electr. Eng., 2025)

Early progression detection from MCI to AD using multi-view MRI for enhanced assisted living. - Nasir Rahim; Naveed Ahmad; Waseem Ullah; Jatin Bedi; Younhyun Jung (Image Vis. Comput., 2025)

Synergizing Fusion Modeling for Accurate Cardiac Prediction Through Explainable Artificial Intelligence. - Niyaz Ahmad Wani; Jatin Bedi; Ravinder Kumar 002; Muhammad Attique Khan; Imad Rida (IEEE Trans. Consumer Electron., 2025)

Enhancing Clustered Federated Learning Using Artificial Bee Colony Optimization Algorithm for Consumer IoT Devices. - Rajesh Kumar Chaudhary; Ravinder Kumar 002; Khursheed Aurangzeb; Jatin Bedi; Muhammad Shahid Anwar; Ahyoung Choi (IEEE Trans. Consumer Electron., 2025)

A novel deep learning approach for automated grading of knee osteoarthritis severity. - Prabsimran Kaur; Guneet Singh Kohli; Jatin Bedi; Saud Wasly (Multim. Tools Appl., 2025)

Decoding user satisfaction: explainable artificial intelligence-based user-centric analysis of mobile health applications adoption. - Stuti Rai; Jatin Bedi; Ashima Anand (Knowl. Inf. Syst., 2025)