Publications

Peer-reviewed Journals

• ToxinPredictor: Computational Models To Predict the Toxicity of Molecules
  Mansi Goel, Arav Amawate, Angadjeet Singh, and Ganesh Bagler.
  Chemosphere, 2024.
• FlavorDB2: An Updated Database of Flavor Molecules
  Mansi Goel, Nishant Grover, Devansh Batra, Neelansh Garg, Rudraksh Tuwani, Apuroop Sethupathy, and Ganesh Bagler.
  Journal of Food Science, 2024.
• Cultural Context Shapes The Carbon Footprints Of Recipes
  Mansi Goel, Vishva Nathavani, Sumit Dharaiya, Vidhya Kothadia, Saloni Srivastava, and Ganesh Bagler.
  International Journal of Gastronomy and Food Science, 2024.
• Computational gastronomy: capturing culinary creativity by making food computable
  Ganesh Bagler and Mansi Goel.
  npj Systems Biology and Applications, 2024.
  Summary: This article provides a perspective on Computational Gastronomy.


• Machine Learning Models To Predict Sweetness Of Molecules
  Mansi Goel, Aditi Sharma, Ayush Chilwal, Sakshi Kumari, Ayush Kumar, and Ganesh Bagler.
  Computers in Biology and Medicine, Elsevier, 2022.
  Summary: This paper proposes a novel machine-learning approach for predicting the sweetness of molecules with high accuracy.


• Computational Gastronomy: A Data Science Approach To Food
  Mansi Goel, and Ganesh Bagler.
  Journal of Biosciences, Springer, 2022.

Conferences

• Deep Learning Based Named Entity Recognition Models for Recipes
  Mansi Goel, Ayush Agrawal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi, Rishabh Gupta, Shrey Rastogi, Niharika, and Ganesh Bagler.
  Proceedings of LREC-COLING 2024.
• Dish Detection in Indian Food Platters: A Computational Framework for Diet Management
  Mansi Goel, Shashank Dargar, Shounak Ghatak, Nidhi Verma, Pratik Chauhan, Anushka Gupta, N. Vishnumolakala, Hareesh Amuru, Ekta Gambhir, Ronak Chhajed, Meenal Jain, Aastha Jain, and Ganesh Bagler.
  8th IEEE International Conference on Computer Vision and Image Processing (CVIP) 2023.


• Ratatouille: A Tool for Novel Recipe Generation
  Mansi Goel, Pallab Chakraborty, Vijay Ponnaganti, Minnet Khan, Sritanaya Tatipamala, Aakanksha Saini, and Ganesh Bagler.
  IEEE ICDEW 2022.
• Object Detection in Indian Food Platters using Transfer Learning with YOLOv4 (BEST PAPER AWARD)
  Deepanshu Pandey, Purva Parmar, Gauri Toshniwal, Mansi Goel, Vishesh Agrawal, Shivangi Dhiman, Lavanya Gupta, and Ganesh Bagler.
  IEEE 38th International Conference on Data Engineering Workshop (ICDEW) 2022.

Under Review

• A framework for recipe data structure with applications for culinary and nutritional insights
  Mansi Goel, Sumit Bhagat, Saloni Srivastava, Malav Patel, Hardi Parikh, Shlok Mehroliya, and Ganesh Bagler.
  Scientific Reports, 2024.
• RecipeOnt: A Comprehensive Recipe Ontology for Culinary Knowledge Integration
  Mansi Goel, Daksh Sammi, Devyansh Chaudhary, and Ganesh Bagler.
  15th International Conference on Formal Ontology in Information Systems (FOIS), 2025.
• Mining Culinary Patterns to Differentiate Global Cuisines using Deep Learning Models
  Mansi Goel, Rajith Ramachandran, Abhishek Tibrewal, Shubhanshu Gupta, Gunjan Panda, S. Agrawal, Rishab Sinha, and Ganesh Bagler.
  Engineering Applications of Artificial Intelligence, 2025.
• UmamiPredict: A unified Machine Learning Model
  Mansi Goel, Pavit Singh, Devansh Garg, Aditya Bhargav and Ganesh Bagler.
  Molecular Diversity, 2025.
• BIO-NER: A Deep Learning Approach for Named Entity Recognition in Recipes using Begin-Inside-Outside Encoding
  Mansi Goel, Saumil Lakra, Rishabh Oberoi, Rishipal Singh, Aditi Roy, Shruti Jha, Ritisha Singh and Ganesh Bagler.
  29th Conference on Computational Natural Language Learning (CoNLL), 2025.
• AllerStack- Computational Stack Model To Predict the Allergenicity of Proteins
  Harshika Sharma, Mansi Goel, Devkul Sahu, Mazhar Sayed, Pratham Mangla, Pratham Shekhawat, Shubham Yadav, and Ganesh Bagler.
  BBA Advances, 2024.