15 citations · 24 across the 11 of their papers we have counts for
11 papers
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM
Payal Kamboj, Ayan Banerjee, Bin Xu +1
Rare events, due to their infrequent occurrences, do not have much data, and hence deep learning techniques fail in estimating the distribution for such data. Open-vocabulary model…
STORM: Strategic Orchestration of Modalities for Rare Event Classification
Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta
In domains such as biomedical, expert insights are crucial for selecting the most informative modalities for artificial intelligence (AI) methodologies. However, using all availabl…
Recovering implicit physics model under real-world constraints
Ayan Banerjee, Sandeep K. S. Gupta
Recovering a physics-driven model, i.e. a governing set of equations of the underlying dynamical systems, from the real-world data has been of recent interest. Most existing method…
Framework for developing and evaluating ethical collaboration between expert and machine
Ayan Banerjee, Payal Kamboj, Sandeep Gupta
Precision medicine is a promising approach for accessible disease diagnosis and personalized intervention planning in high-mortality diseases such as coronary artery disease (CAD),…
Operational Safety in Human-in-the-loop Human-in-the-plant Autonomous Systems
Ayan Banerjee, Aranyak Maity, Imane Lamrani +1
Control affine assumptions, human inputs are external disturbances, in certified safe controller synthesis approaches are frequently violated in operational deployment under causal…
Detection of Unknown Errors in Human-Centered Systems
Aranyak Maity, Ayan Banerjee, Sandeep Gupta
Artificial Intelligence-enabled systems are increasingly being deployed in real-world safety-critical settings involving human participants. It is vital to ensure the safety of suc…
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System
Ayan Banerjee, Aranyak Maity, Payal Kamboj +1
We explore the usage of large language models (LLM) in human-in-the-loop human-in-the-plant cyber-physical systems (CPS) to translate a high-level prompt into a personalized plan o…
The Expert Knowledge combined with AI outperforms AI Alone in Seizure Onset Zone Localization using resting state fMRI
Payal Kamboj, Ayan Banerjee, Varina L. Boerwinkle +1
We evaluated whether integration of expert guidance on seizure onset zone (SOZ) identification from resting state functional MRI (rs-fMRI) connectomics combined with deep learning…
Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognition
Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta
Knowledge transfer across sensing technology is a novel concept that has been recently explored in many application domains, including gesture-based human computer interaction. The…
Merging Deep Learning with Expert Knowledge for Seizure Onset Zone localization from rs-fMRI in Pediatric Pharmaco Resistant Epilepsy
Payal Kamboj, Ayan Banerjee, Sandeep K. S. Gupta +1
Surgical disconnection of Seizure Onset Zones (SOZs) at an early age is an effective treatment for Pharmaco-Resistant Epilepsy (PRE). Pre-surgical localization of SOZs with intra-c…
EdGCon: Auto-assigner of Iconicity Ratings Grounded by Lexical Properties to Aid in Generation of Technical Gestures
Sameena Hossain, Payal Kamboj, Aranyak Maity +3
Gestures that share similarities in their forms and are related in their meanings, should be easier for learners to recognize and incorporate into their existing lexicon. In that r…