Jeremy Irvin - RankMe

27 papers A* 2B 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning. IEEE Trans. Intell. Transp. Syst. Yuntao Ma, Hiva Ghanbari, Tianyuan Huang, Jeremy Irvin, Oliver Brady, Sofian Zalouk, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Mayur Narsude
2024	J	`jnl`	CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds. CoRR Muhammad Ahmed Chaudhry, Lyna Kim, Jeremy Irvin, Yuzu Ido, Sonia Chu, Jared Thomas Isobe, Andrew Y. Ng, Duncan Watson-Parris
2024	J	`jnl`	Many-Shot In-Context Learning in Multimodal Foundation Models. CoRR Yixing Jiang, Jeremy Irvin, Ji Hun Wang, Muhammad Ahmed Chaudhry, Jonathan H. Chen, Andrew Y. Ng
2023	J	`jnl`	An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets. CoRR Maya Srikanth, Jeremy Irvin, Brian Wesley Hill, Felipe Godoy, Ishan Sabane, Andrew Y. Ng
2023	A*	`conf`	GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
2023	J	`jnl`	How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems. CoRR Cara Van Uden, Jeremy Irvin, Mars Huang, Nathan Dean, Jason Carr, Andrew Y. Ng, Curtis P. Langlotz
2023	J	`jnl`	USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery. CoRR Jeremy Irvin, Lucas Tao, Joanne Zhou, Yuntao Ma, Langston Nashold, Benjamin Liu, Andrew Y. Ng
2023	J	`jnl`	Weakly-semi-supervised object detection in remotely sensed imagery. CoRR Ji Hun Wang, Jeremy Irvin, Beri Kohen Behar, Ha Tran, Raghav Samavedam, Quentin Hsu, Andrew Y. Ng
2022	J	`jnl`	Improving debris flow evacuation alerts in Taiwan using machine learning. CoRR Yi-Lin Tsai, Jeremy Irvin, Suhas Chundi, João Estacio Gaspar Araujo, Andrew Y. Ng, Christopher B. Field, Peter K. Kitanidis
2022	—	`conf`	METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping. CDCEO@IJCAI Bryan Zhu, Nicholas Lui, Jeremy Irvin, Jimmy Le, Sahil Tadwalkar, Chenghao Wang, Zutao Ouyang, Frankie Y. Liu, Andrew Y. Ng, Robert B. Jackson
2022	J	`jnl`	METER-ML: A Multi-sensor Earth Observation Benchmark for Automated Methane Source Mapping. CoRR Bryan Zhu, Nicholas Lui, Jeremy Irvin, Jimmy Le, Sahil Tadwalkar, Chenghao Wang, Zutao Ouyang, Frankie Y. Liu, Andrew Y. Ng, Robert B. Jackson
2021	J	`jnl`	Structured dataset documentation: a datasheet for CheXpert. CoRR Christian Garbin, Pranav Rajpurkar, Jeremy Irvin, Matthew P. Lungren, Oge Marques
2021	J	`jnl`	Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. CoRR Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez
2020	J	`jnl`	Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
2020	J	`jnl`	CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting. CoRR Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Phil Chen, Amirhossein Kiani, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren
2020	J	`jnl`	CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays. CoRR Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew P. Lungren
2020	J	`jnl`	ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery. CoRR Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng
2020	J	`jnl`	OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery. CoRR Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng
2020	J	`jnl`	PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren
2020	J	`jnl`	Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models. CoRR Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David John Gagne II
2019	J	`jnl`	Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren
2019	A*	`conf`	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
2019	J	`jnl`	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. CoRR Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
2019	J	`jnl`	Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren
2017	J	`jnl`	CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Yi Ding, Aarti Bagul, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
2017	J	`jnl`	MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. CoRR Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul, Daisy Yi Ding, Tony Duan, Hershel Mehta, Brandon Yang, Kaylie Zhu, Dillon Laird, Robyn L. Ball, Curtis P. Langlotz, Katie S. Shpanskaya, Matthew P. Lungren, Andrew Y. Ng
2016	B	`conf`	Dynamical systems modeling of the child-mother dyad: Causality between child-directed language complexity and language development. CogSci Jeremy Irvin, Daniel Spokoyny, Fermín Moscoso del Prado Martín