2026
Food Image Nutrition Estimation with Open-Weight Large Multimodal Models: Fine-Tuning, Multi-View Ensembles, and Retrieval Augmentation
Zhi Ye, Mansi Goel, Morten Arendt Rasmussen
British Machine Vision Conference (BMVC) 2026 Accepted
Zero-shot benchmarking, LoRA fine-tuning, multi-view ensembling, and FNDDS retrieval-augmented generation with open-weight multimodal models (Gemma 3, Qwen3-VL) for estimating nutrient content from food images on Nutrition5k and ACETADA.
Food Image Nutrition Estimation with Open-Weight Large Multimodal Models: Fine-Tuning, Multi-View Ensembles, and Retrieval Augmentation
Zhi Ye, Mansi Goel, Morten Arendt Rasmussen
British Machine Vision Conference (BMVC) 2026 Accepted
Zero-shot benchmarking, LoRA fine-tuning, multi-view ensembling, and FNDDS retrieval-augmented generation with open-weight multimodal models (Gemma 3, Qwen3-VL) for estimating nutrient content from food images on Nutrition5k and ACETADA.
Universal statistical laws governing culinary design
Ganesh Bagler, Gopal Krishna Tewari, Aditya Raj Yadav, Akshat Singh, Pranay Bansal, Ujjval Dargar, Mansi Goel, Madhvi Kumari Sinha
arXiv 2026
Statistical regularities that recur across world cuisines, pointing to universal constraints on how recipes are composed.
Universal statistical laws governing culinary design
Ganesh Bagler, Gopal Krishna Tewari, Aditya Raj Yadav, Akshat Singh, Pranay Bansal, Ujjval Dargar, Mansi Goel, Madhvi Kumari Sinha
arXiv 2026
Statistical regularities that recur across world cuisines, pointing to universal constraints on how recipes are composed.
2025
AllerStack: Predicting Allergenic Proteins with a Stacked Ensemble Approach
Harshika Sharma, Mansi Goel, Devkul Sahu, Mazhar Ayaz Sayed, Pratham Mangla, Pratham Shekhawat, Shubham Yadav, Ganesh Bagler
bioRxiv 2025
AllerStack is a stacked ensemble machine learning framework that integrates sequence-based descriptors with antigenicity predictions to identify allergenic proteins
AllerStack: Predicting Allergenic Proteins with a Stacked Ensemble Approach
Harshika Sharma, Mansi Goel, Devkul Sahu, Mazhar Ayaz Sayed, Pratham Mangla, Pratham Shekhawat, Shubham Yadav, Ganesh Bagler
bioRxiv 2025
AllerStack is a stacked ensemble machine learning framework that integrates sequence-based descriptors with antigenicity predictions to identify allergenic proteins
IEML-A New Frontier for Semantic Computing and Collective Intelligence in the Cooking Domain
Mansi Goel, Frederic Andres, Pierre Levy
IEEE 41st International Conference on Data Engineering Workshops (ICDEW) 2025
Explores the transformative potential of the Information Economy Meta Language (IEML) in revolutionizing cooking recipes' management, personalization, and innovation
IEML-A New Frontier for Semantic Computing and Collective Intelligence in the Cooking Domain
Mansi Goel, Frederic Andres, Pierre Levy
IEEE 41st International Conference on Data Engineering Workshops (ICDEW) 2025
Explores the transformative potential of the Information Economy Meta Language (IEML) in revolutionizing cooking recipes' management, personalization, and innovation
A Multilingual Ontology and Knowledge Graph for Recipes
Mansi Goel, Frederic Andres
IEEE 41st International Conference on Data Engineering Workshops (ICDEW) 2025
Multilingual recipe ontology capturing critical relationships between ingredients, nutrition, cooking actions, and recipe planning
A Multilingual Ontology and Knowledge Graph for Recipes
Mansi Goel, Frederic Andres
IEEE 41st International Conference on Data Engineering Workshops (ICDEW) 2025
Multilingual recipe ontology capturing critical relationships between ingredients, nutrition, cooking actions, and recipe planning
Cross-Cultural Recipe Transformation Via Neural Network and Encoder-Based Models
Vibhuti Dhar Khanduri, Mansi Goel, Lakshay Dabas, Harsh Kumar Agarwal
IEEE International Conference on Data Mining Workshops (ICDMW) 2025
Neural and encoder-based models that adapt recipes across culinary cultures by substituting ingredients while preserving dish identity.
Cross-Cultural Recipe Transformation Via Neural Network and Encoder-Based Models
Vibhuti Dhar Khanduri, Mansi Goel, Lakshay Dabas, Harsh Kumar Agarwal
IEEE International Conference on Data Mining Workshops (ICDMW) 2025
Neural and encoder-based models that adapt recipes across culinary cultures by substituting ingredients while preserving dish identity.
2024
ToxinPredictor: Computational Models To Predict the Toxicity of Molecules
Mansi Goel, Arav Amawate, Angadjeet Singh, Ganesh Bagler
Chemosphere 2024
Machine learning models trained on curated toxicity data to flag potentially toxic molecules, supporting safety screening of food-relevant compounds.
ToxinPredictor: Computational Models To Predict the Toxicity of Molecules
Mansi Goel, Arav Amawate, Angadjeet Singh, Ganesh Bagler
Chemosphere 2024
Machine learning models trained on curated toxicity data to flag potentially toxic molecules, supporting safety screening of food-relevant compounds.
FlavorDB2: An Updated Database of Flavor Molecules
Mansi Goel, Nishant Grover, Devansh Batra, Neelansh Garg, Rudraksh Tuwani, Apuroop Sethupathy, Ganesh Bagler
Journal of Food Science 2024
An updated and expanded repository of flavor molecules and their natural sources, with new molecular descriptors, odour and taste annotations, and a redesigned web interface.
FlavorDB2: An Updated Database of Flavor Molecules
Mansi Goel, Nishant Grover, Devansh Batra, Neelansh Garg, Rudraksh Tuwani, Apuroop Sethupathy, Ganesh Bagler
Journal of Food Science 2024
An updated and expanded repository of flavor molecules and their natural sources, with new molecular descriptors, odour and taste annotations, and a redesigned web interface.
Cultural Context Shapes The Carbon Footprints Of Recipes
Mansi Goel, Vishva Nathavani, Sumit Dharaiya, Vidhya Kothadia, Saloni Srivastava, Ganesh Bagler
International Journal of Gastronomy and Food Science 2024
Quantifies how culinary culture shapes the carbon footprint of recipes across world cuisines, linking ingredient choice and cooking practice to environmental impact.
Cultural Context Shapes The Carbon Footprints Of Recipes
Mansi Goel, Vishva Nathavani, Sumit Dharaiya, Vidhya Kothadia, Saloni Srivastava, Ganesh Bagler
International Journal of Gastronomy and Food Science 2024
Quantifies how culinary culture shapes the carbon footprint of recipes across world cuisines, linking ingredient choice and cooking practice to environmental impact.
Computational gastronomy: capturing culinary creativity by making food computable
Ganesh Bagler, Mansi Goel
npj Systems Biology and Applications 2024
A perspective on how data-driven methods make food computable, from flavour networks and recipe generation to health and sustainability applications.
Computational gastronomy: capturing culinary creativity by making food computable
Ganesh Bagler, Mansi Goel
npj Systems Biology and Applications 2024
A perspective on how data-driven methods make food computable, from flavour networks and recipe generation to health and sustainability applications.
Deep Learning Based Named Entity Recognition Models for Recipes
Mansi Goel, Ayush Agrawal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler
Proceedings of Joint International Conference on Computational Linguistics, Language Resources and Evaluation 2024
Transformer- and LSTM-based named entity recognition models for recipe text, released with a large annotated corpus of ingredient phrases.
Deep Learning Based Named Entity Recognition Models for Recipes
Mansi Goel, Ayush Agrawal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler
Proceedings of Joint International Conference on Computational Linguistics, Language Resources and Evaluation 2024
Transformer- and LSTM-based named entity recognition models for recipe text, released with a large annotated corpus of ingredient phrases.
Nature Inspired Recommendation with Path Optimization for Online Social Network Communities
Mansi Goel, et al.
International Journal of Information Technology 2024
A nature-inspired recommendation approach with path optimization for communities in online social networks.
Nature Inspired Recommendation with Path Optimization for Online Social Network Communities
Mansi Goel, et al.
International Journal of Information Technology 2024
A nature-inspired recommendation approach with path optimization for communities in online social networks.
2023
Dish Detection in Indian Food Platters: A Computational Framework for Diet Management
Mansi Goel, et al.
IEEE International Conference on Computer Vision and Image Processing (CVIP) 2023
An end-to-end computational framework that detects Indian dishes in food platters and converts them into calorie and nutrition estimates for diet logging.
Dish Detection in Indian Food Platters: A Computational Framework for Diet Management
Mansi Goel, et al.
IEEE International Conference on Computer Vision and Image Processing (CVIP) 2023
An end-to-end computational framework that detects Indian dishes in food platters and converts them into calorie and nutrition estimates for diet logging.
2022
Machine Learning Models To Predict Sweetness Of Molecules
Mansi Goel, Aditi Sharma, Ayush Chilwal, Sakshi Kumari, Ayush Kumar, Ganesh Bagler
Computers in Biology and Medicine 2022
This paper proposes a novel machine-learning approach for predicting the sweetness of molecules with high accuracy.
Machine Learning Models To Predict Sweetness Of Molecules
Mansi Goel, Aditi Sharma, Ayush Chilwal, Sakshi Kumari, Ayush Kumar, Ganesh Bagler
Computers in Biology and Medicine 2022
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, Ganesh Bagler
Journal of Biosciences 2022
An introduction to computational gastronomy: the data-driven study of food, flavour and culinary patterns at scale.
Computational Gastronomy: A Data Science Approach To Food
Mansi Goel, Ganesh Bagler
Journal of Biosciences 2022
An introduction to computational gastronomy: the data-driven study of food, flavour and culinary patterns at scale.
Ratatouille: A Tool for Novel Recipe Generation
Mansi Goel, Pallab Chakraborty, Vijay Ponnaganti, Minnet Khan, Sritanaya Tatipamala, Aakanksha Saini, Ganesh Bagler
IEEE 38th International Conference on Data Engineering Workshops (ICDEW) 2022
Ratatouille, a deep generative tool that composes novel, culturally coherent recipes from ingredient and cooking-process patterns.
Ratatouille: A Tool for Novel Recipe Generation
Mansi Goel, Pallab Chakraborty, Vijay Ponnaganti, Minnet Khan, Sritanaya Tatipamala, Aakanksha Saini, Ganesh Bagler
IEEE 38th International Conference on Data Engineering Workshops (ICDEW) 2022
Ratatouille, a deep generative tool that composes novel, culturally coherent recipes from ingredient and cooking-process patterns.
Object Detection in Indian Food Platters using Transfer Learning with YOLOv4
Deepanshu Pandey, Purva Parmar, Gauri Toshniwal, Mansi Goel, Vishesh Agrawal, Shivangi Dhiman, Lavanya Gupta, Ganesh Bagler
2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW) 2022 Best Paper Award
Transfer learning with YOLOv4 for detecting dishes in multi-item Indian food platters, trained on a purpose-built annotated dataset.
Object Detection in Indian Food Platters using Transfer Learning with YOLOv4
Deepanshu Pandey, Purva Parmar, Gauri Toshniwal, Mansi Goel, Vishesh Agrawal, Shivangi Dhiman, Lavanya Gupta, Ganesh Bagler
2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW) 2022 Best Paper Award
Transfer learning with YOLOv4 for detecting dishes in multi-item Indian food platters, trained on a purpose-built annotated dataset.