| DCrop: A deep-learning based framework for accurate prediction of diseases of crops in smart agriculture V Pallagani, V Khandelwal, B Chandra, V Udutalapally, D Das, ... 2019 IEEE International Symposium on Smart Electronic Systems (iSES …, 2019 | 247 | 2019 |
| Smart dual dustbin model for waste management in smart cities GS Rohit, MB Chandra, S Saha, D Das 2018 3rd International Conference for Convergence in Technology (I2CT), 1-5, 2018 | 49 | 2018 |
| Plansformer: Generating Symbolic Plans using Transformers V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ... arXiv preprint arXiv:2212.08681, 2022 | 28 | 2022 |
| Understanding the Capabilities of Large Language Models for Automated Planning V Pallagani, B Muppasani, K Murugesan, F Rossi, B Srivastava, L Horesh, ... arXiv preprint arXiv:2305.16151, 2023 | 15 | 2023 |
| On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS) V Pallagani, K Roy, B Muppasani, F Fabiano, A Loreggia, K Murugesan, ... arXiv preprint arXiv:2401.02500, 2024 | 9 | 2024 |
| Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes K Lakkaraju, SKR Vuruma, V Pallagani, B Muppasani, B Srivastava arXiv preprint arXiv:2307.07422, 2023 | 6 | 2023 |
| Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers V Pallagani, B Muppasani, B Srivastava, F Rossi, L Horesh, K Murugesan, ... IJCAI 2023, 7158-7162, 2023 | 4 | 2023 |
| On safe and usable chatbots for promoting voter participation B Muppasani, V Pallagani, K Lakkaraju, S Lei, B Srivastava, B Robertson, ... AI Magazine 44 (3), 240-247, 2023 | 2 | 2023 |
| A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency B Muppasani, V Pallagani, B Srivastava, R Mutharaju, MN Huhns, ... arXiv preprint arXiv:2307.13549, 2023 | 2 | 2023 |
| On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations B Muppasani, V Pallagani, B Srivastava, F Agostinelli arXiv preprint arXiv:2307.13552, 2023 | 2 | 2023 |
| Building and Using a Planning Ontology from Past Data for Performance Efficiency B Muppasani, V Pallagani, B Srivastava, R Mutharaju Proceedings of the PLanning And onTology wOrkshop (PLATO), co-located with …, 2023 | 2 | 2023 |
| Power Forecasting and Anomaly Detection with MIDAS IoT-based Sensor BC Muppasani, CJ Anand, C Appajigowda, B Srivastava, L Johri DOI: 10.13140/RG. 2.2 17358, 2022 | 2 | 2022 |
| A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors B Muppasani, CJ Anand, C Appajigowda, B Srivastava, L Johri Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15545 …, 2023 | 1 | 2023 |
| Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning B Muppasani, V Narayanan, B Srivastava, MN Huhns | | 2024 |
| LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making K Lakkaraju, SE Jones, SKR Vuruma, V Pallagani, BC Muppasani, ... Proceedings of the Fourth ACM International Conference on AI in Finance, 100-107, 2023 | | 2023 |
| CREDIBLE ELECTIONS B Srivastava, A Nikolich, T Koppel, P Deepak, S Simoes, M MacCarthaigh, ... AI Magazine 44 (3), 2023 | | 2023 |
| Plansformer: Generating Multi-Domain Symbolic Plans using Transformers V Pallagani, BC Muppasani, K Murugesan, F Rossi, L Horesh, ... | | 2022 |
| Explainable Pathfinding for Inscrutable Planners with Inductive Logic Programming F Agostinelli, R Panta, V Khandelwal, B Srivastava, BC Muppasani, ... ICAPS 2022 Workshop on Explainable AI Planning, 2022 | | 2022 |
| Solving the Rubik’s Cube with a PDDL Planner B Muppasani, V Pallagani, B Srivastava | | 2022 |
Vishal PallaganiUniversity of South CarolinaVerified email at mailbox.sc.edu
