Pedram Agand - RankMe

22 papers A* 3A 2B 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Static Datasets: Robust Offline Policy Optimization via Vetted Synthetic Transitions. CoRR Pedram Agand, Mo Chen
2026	J	`jnl`	Neuro-Symbolic Financial Reasoning via Deterministic Fact Ledgers and Adversarial Low-Latency Hallucination Detector. CoRR Pedram Agand
2026	J	`jnl`	Predicting Data Science Programming Performance: Using Fair ML to detect Bias. Smart Learn. Environ. Tenzin Doleck, Pedram Agand, Dylan Pirrotta
2025	J	`jnl`	Generative AI in Data Science Programming: Differences in Performance Between Groups With and Without AI-assistance. Educ. Inf. Technol. Tenzin Doleck, Pedram Agand, Dylan Pirrotta
2025	J	`jnl`	Predicting data science performance from log data: using machine learning. Educ. Inf. Technol. Tenzin Doleck, Pedram Agand, Dylan Pirrotta
2024	A	`conf`	DMFuser: Distilled Multi-Task Learning for End-to-end Transformer-Based Sensor Fusion in Autonomous Driving. IROS Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen
2024	—	`conf`	DMODE: Differential Monocular Object Distance Estimation Module Without Class Specific Information. RoMoCo Pedram Agand, Michael Chang, Mo Chen
2024	J	`jnl`	Integrating generative AI in data science programming: Group differences in hint requests. Comput. Hum. Behav. Artif. Humans Tenzin Doleck, Pedram Agand, Dylan Pirrotta
2024	A*	`conf`	Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving. AAAI Pedram Agand
2024	A*	`conf`	Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract). AAAI Yimeng Fan, Pedram Agand, Mo Chen, Edward J. Park, Allison Kennedy, Chanwoo Bae
2024	J	`jnl`	Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract). CoRR Yimeng Fan, Pedram Agand, Mo Chen, Edward J. Park, Allison Kennedy, Chanwoo Bae
2023	A	`conf`	Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions. IROS Pedram Agand, Alexey Iskrov, Mo Chen
2023	J	`jnl`	Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions. CoRR Pedram Agand, Alexey Iskrov, Mo Chen
2023	J	`jnl`	Fuel Consumption Prediction for a Passenger Ferry using Machine Learning and In-service Data: A Comparative Study. CoRR Pedram Agand, Allison Kennedy, Trevor Harris, Chanwoo Bae, Mo Chen, Edward J. Park
2023	J	`jnl`	LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning. CoRR Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen
2023	B	`conf`	Online Probabilistic Model Identification Using Adaptive Recursive MCMC. IJCNN Pedram Agand, Mo Chen, Hamid D. Taghirad
2022	J	`jnl`	Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation. CoRR Pedram Agand, Mahdi Aliyari Shoorehdeli
2022	J	`jnl`	DMODE: Differential Monocular Object Distance Estimation Module without Class Specific Information. CoRR Pedram Agand, Michael Chang, Mo Chen
2022	A*	`conf`	Human Navigational Intent Inference with Probabilistic and Optimal Approaches. ICRA Pedram Agand, Mahdi Taherahmadi, Angelica Lim, Mo Chen
2022	J	`jnl`	Online Probabilistic Model Identification using Adaptive Recursive MCMC. CoRR Pedram Agand, Mo Chen, Hamid D. Taghirad
2019	B	`conf`	Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation. IJCNN Pedram Agand, Mahdi Aliyari Shoorehdeli
2017	J	`jnl`	Adaptive recurrent neural network with Lyapunov stability learning rules for robot dynamic terms identification. Eng. Appl. Artif. Intell. Pedram Agand, Mahdi Aliyari Shoorehdeli, Ali Khaki-Sedigh