Rajesh R. Jaiswal

17 papers Journal 2Unranked 15
YearRankTypeTitle / Venue / Authors
2026 — conf
AI for Emergency Department Predictions.
HCAIep
Surya Teja Gowd Ayinavilli, Dipesh Badal, John Staunton, Olohigbe Ohiwerei, Rajesh R. Jaiswal, Keith Quille
2026 — conf
On Explaining the Sentiments in Prediction of Stock Movement: An XAI-Based Analysis.
HCAIep
D. J. Ranade, Sarthak Bhaya, Siddhanth Bhimakari, Moe Aye Chan, Keith Quille, Rajesh R. Jaiswal
2026 — conf
On The Automatic Image Captioning Task In Italian: A Human-Centric Approach.
HCAIep
Valentina De Amicis, Rajesh R. Jaiswal, Fernando Pérez-Téllez
2026 — conf
Riding the Rush: A Deep Learning Approach to Bus Overcrowding Prediction.
HCAIep
Nikhitha Guttula, Akshay Vellanki, J. S. N. Sudhamayi Putchakayalapalli, Akhil Ratnam, Rajesh R. Jaiswal, Keith Quille
2026 — conf
Right-to-be-Forgotten by Design in Adapter-Tuned Transformers.
HCAIep
D. J. Ranade, Rajesh R. Jaiswal
2025 — conf
Generative AI: developments, applications, and responsible practices.
Ital-IA
Alberto Moccardi, Egidia Cirillo, Cristina Davino, Mattia Fonisto, Francesco Gargiulo, Rajib Chandra Ghosh, Ojasvi Gupta, Rajesh R. Jaiswal, Roberto La Rovere, Lidia Marassi, Zahida Mashaallah, Narendra Patwardhan, Gian Marco Orlando, Domenico Benfenati, Giovanni Maria De Filippis, Antonio Elia Pascarella, Diego Russo, Cristiano Russo, Cristian Tommasino, Stefano Marrone, Flora Amato, Antonio Maria Rinaldi, Vincenzo Moscato, Carlo Sansone
2025 J jnl
Optimizing Bitcoin Price Prediction: Multivariate LSTM Triumphs.
Int. J. Comb. Optim. Probl. Informatics
Brian Scanlon, Keith Quille, Rajesh R. Jaiswal
2025 J jnl
Predicting fire incidents with ML: an XAI approach.
AI Ethics
Donghyeok Lee, Fernando Pérez-Téllez, Rajesh R. Jaiswal
2024 — conf
Efficiency of LLMs in Identifying Abusive Language Online: A Comparative Study of LSTM, BERT, and GPT.
HCAIep
Zaur Gouliev, Rajesh R. Jaiswal
2024 — conf
Enabling Digital Technology in Primary Schools.
ITiCSE (2)
Keith Nolan, Amanda O'Farrell, Keith Quille, Karen Nolan, Roisin Faherty, Rajesh R. Jaiswal, Svetlana Hensman, Michael Collins, Miriam Harte, Brett A. Becker
2024 — conf
Exploring Trade-offs Between Black-Box and Glass-Box Models in Face Similarity: Siamese Networks vs. KNN.
HCAIep
Abhijith Jyothi Jayachandran, Tonu James, Rajesh R. Jaiswal, Keith Quille
2024 — conf
Harmful Prompt Classification for Large Language Models.
HCAIep
Ojasvi Gupta, Marta De La Cuadra Lozano, AbdelSalam H. Busalim, Rajesh R. Jaiswal, Keith Quille
2024 — conf
Reimagining Student Success Prediction: Applying LLMs in Educational AI with XAI.
HCAIep
Pasquale Riello, Keith Quille, Rajesh R. Jaiswal, Carlo Sansone
2024 — conf
Understanding Gender and Ethnicity Bias in Large Language Models.
HCAIep
Ojasvi Gupta, Rajesh R. Jaiswal, Stefano Marrone, Lidia Marassi, Francesco Gargiulo
2024 — conf
Utilising Synthetic Data from LLM for Gender Bias Detection and Mitigation in Recruitment Systems.
HCAIep
Donghyeok Lee, Rajesh R. Jaiswal, Adrian Byrne
2023 — conf
Explainability in NLP model: Detection of Covid-19 Twitter Fake News.
HCAIep
Wan Yit Yong, Rajesh R. Jaiswal, Fernando Pérez-Téllez
2023 — conf
Explainability in User Sentiment Analysis with CoreNLP.
HCAIep
Marta De La Cuadra Lozano, Rajesh R. Jaiswal, Fernando Pérez-Téllez