no code implementations • 8 May 2024 • Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh Jain
Agents represent one of the most emerging applications of Large Language Models (LLMs) and Generative AI, with their effectiveness hinging on multimodal capabilities to navigate complex user environments.
no code implementations • 18 Feb 2024 • Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh Jain, Amir M. Rahmani
The personal model leverages causal discovery and inference techniques to assess personalized nutritional effects for a specific user, whereas the population model provides generalized information on food nutritional content.
no code implementations • 15 Feb 2024 • Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh Jain, Amir M. Rahmani
We compare the proposed CHA with GPT4.
no code implementations • 12 Feb 2024 • Ali Rostami, Ramesh Jain, Amir M. Rahmani
State-of-the-art rule-based and classification-based food recommendation systems face significant challenges in becoming practical and useful.
1 code implementation • 3 Oct 2023 • Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh Jain
openCHA includes an orchestrator to plan and execute actions for gathering information from external sources, essential for formulating responses to user inquiries.
no code implementations • 21 Sep 2023 • Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh Jain, Amir M. Rahmani
The purpose of this paper is to explore state-of-the-art LLM-based evaluation metrics that are specifically applicable to the assessment of interactive conversational models in healthcare.
no code implementations • 26 Jan 2022 • Salar Jafarlou, Jocelyn Lai, Zahra Mousavi, Sina Labbaf, Ramesh Jain, Nikil Dutt, Jessica Borelli, Amir Rahmani
Results showed that our model was able to predict next-day affect with accuracy comparable to state of the art methods.
no code implementations • 16 Nov 2021 • Nitish Nag, Hyungik Oh, Mengfan Tang, Mingshu Shi, Ramesh Jain
In addition to describing the general framework, we test the PHN system in two experiments within the field of cardiology.
no code implementations • 15 Dec 2020 • Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil Dutt, Ramesh Jain, Jessica L. Borelli
Traditionally, the regime of mental healthcare has followed an episodic psychotherapy model wherein patients seek care from a provider through a prescribed treatment plan developed over multiple provider visits.
no code implementations • 26 Feb 2020 • Nitish Nag, Bindu Rajanna, Ramesh Jain
Using the underlying connection between cuisines and their inherent tastes, we attempt to develop such a profile for an individual based solely on the images of his food.
no code implementations • 15 May 2019 • Weiqing Min, Shuqiang Jiang, Ramesh Jain
A growing proportion of the global population is becoming overweight or obese, leading to various diseases (e. g., diabetes, ischemic heart disease and even cancer) due to unhealthy eating patterns, such as increased intake of food with high energy and high fat.
no code implementations • 2 Apr 2019 • Nitish Nag, Aditya Bharadwaj, Aditya Narendra Rao, Akash Kulhalli, Kushal Samir Mehta, Nishant Bhattacharya, Pratul Ramkumar, Dinkar Sitaram, Ramesh Jain
We propose a mechanism to use the features of flavour to enhance the quality of food recommendations.
no code implementations • 4 Dec 2018 • Nitish Nag, Ramesh Jain
Lifestyle and environment interacting with our biological machine are primarily responsible for shaping our health and wellbeing.
Human-Computer Interaction
no code implementations • 25 Sep 2018 • Nitish Nag, Vaibhav Pandey, Aishwarya Manjunath, Avinash Vaka, Ramesh Jain
Machine learning models such as support vector machines, K-nearest neighbors, and decision trees were used for the classification of the path.
no code implementations • 22 Aug 2018 • Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, Ramesh Jain
This is the first comprehensive survey that targets the study of computing technology for the food area and also offers a collection of research studies and technologies to benefit researchers and practitioners working in different food-related fields.
Computers and Society Multimedia
no code implementations • 20 Feb 2017 • Mengfan Tang, Feiping Nie, Siripen Pongpaichet, Ramesh Jain
Photos are becoming spontaneous, objective, and universal sources of information.
no code implementations • 20 Jan 2016 • Mengfan Tang, Pranav Agrawal, Ramesh Jain
We propose a framework to rank the risk factors from heterogeneous data sources of the two categories.