Jake Lever

28 papers B 1Misc 1Journal 16Unranked 10
YearRankTypeTitle / Venue / Authors
2025 B conf
A Systematic Mapping of Large Language Models as Feedback Provider in Higher Education.
ICALT
Eyman A. Alyahyan, Mireilla Bikanga Ada, Jake Lever
2025 J jnl
CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding.
CoRR
Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2025 — conf
Can We Edit LLMs for Long-Tail Biomedical Knowledge?
EMNLP (Findings)
Xinhao Yi, Jake Lever, Kevin Bryson, Zaiqiao Meng
2025 J jnl
Can We Edit LLMs for Long-Tail Biomedical Knowledge?
CoRR
Xinhao Yi, Jake Lever, Kevin Bryson, Zaiqiao Meng
2025 J jnl
CeRTS: certainty retrieval token search in large language model clinical information extraction.
J. Biomed. Informatics
Lars E. Schimmelpfennig, Kriti Bhattarai, Inez Y. Oh, Jake Lever, Obi L. Griffith, Malachi Griffith, Albert M. Lai, Zachary B. Abrams
2025 J jnl
Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm.
J. Comput. Sci.
Jake Lever, Sibo Cheng, César Quilodrán Casas, Che Liu, Hongwei Fan, Robert Platt, Andrianirina Rakotoharisoa, Eleda Johnson, Siyi Li, Zhendan Shang, Rossella Arcucci
2025 — conf
Libra: Leveraging Temporal Images for Biomedical Radiology Analysis.
ACL (Findings)
Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2024 — conf
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation.
BioNLP@ACL
Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2024 J jnl
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation.
CoRR
Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2024 J jnl
Libra: Leveraging Temporal Images for Biomedical Radiology Analysis.
CoRR
Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2024 — conf
UoG Siephers at "Discharge Me!": Exploring Ways to Generate Synthetic Patient Notes From Multi-Part Electronic Health Records.
BioNLP@ACL
Erlend Frayling, Jake Lever, Graham McDonald
2024 J jnl
Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records.
CoRR
Erlend Frayling, Jake Lever, Graham McDonald
2023 J jnl
Associating biological context with protein-protein interactions through text mining at PubMed scale.
J. Biomed. Informatics
Daniel N. Sosa, Rogier Hintzen, Betty Xiong, Alex de Giorgio, Julien Fauqueur, Mark Davies, Jake Lever, Russ B. Altman
2023 J jnl
CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase.
Nucleic Acids Res.
Kilannin Krysiak, Arpad M. Danos, Jason Saliba, Joshua F. McMichael, Adam C. Coffman, Susanna Kiwala, Erica K. Barnell, Lana Sheta, Cameron J. Grisdale, Lynzey Kujan, Shahil Pema, Jake Lever, Sarah Ridd, Nicholas C. Spies, Veronica Andric, Andreea Chiorean, Damian Tobias Rieke, Kaitlin A. Clark, Caralyn Reisle, Ajay C. Venigalla, Mark Evans, Payal Jani, Hideaki Takahashi, Avila Suda, Peter Horák, Deborah I. Ritter, Xin Zhou, Benjamin J. Ainscough, Sean DeLong, Chimene Kesserwan, Mario Lamping, Haolin Shen, Alex Marr, My Hoang, Kartik Singhal, Mariam Khanfar, Brian V. Li, Wan-Hsin Lin, Panieh Terraf, Laura B. Corson, Yasser Salama, Katie M. Campbell, Kirsten M. Farncombe, Jianling Ji, Xiaonan Zhao, Xinjie Xu, Rashmi Kanagal-Shamanna, Ian King, Kelsy C. Cotto, Zachary L. Skidmore, Jason R. Walker, Jinghui Zhang, Aleksandar Milosavljevic, Ronak Y. Patel, Rachel H. Giles, Raymond H. Kim, Lynn M. Schriml, Elaine R. Mardis, Steven J. M. Jones, Gordana Raca, Shruti Rao, Subha Madhavan, Alex H. Wagner, Malachi Griffith, Obi L. Griffith
2023 — conf
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting.
ICCS (4)
Jake Lever, Sibo Cheng, Rossella Arcucci
2022 J jnl
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting.
J. Comput. Soc. Sci.
Jake Lever, Rossella Arcucci
2022 — conf
Social Data Assimilation of Human Sensor Networks for Wildfires.
PETRA
Jake Lever, Rossella Arcucci, Jaiying Cai
2022 — conf
Towards Social Machine Learning for Natural Disasters.
ICCS (3)
Jake Lever, Rossella Arcucci
2021 J jnl
Repurposing biomedical informaticians for COVID-19.
J. Biomed. Informatics
Daniel N. Sosa, Binbin Chen, Amit Kaushal, Adam Lavertu, Jake Lever, Stefano E. Rensi, Russ B. Altman
2021 J jnl
Search and visualization of gene-drug-disease interactions for pharmacogenomics and precision medicine research using GeneDive.
J. Biomed. Informatics
Mike Wong, Paul Previde, Jack Cole, Brook Thomas, Nayana Laxmeshwar, Emily K. Mallory, Jake Lever, Dragutin Petkovic, Russ B. Altman, Anagha Kulkarni
2020 Misc conf
PGxMine: Text Mining for Curation of PharmGKB.
PSB
Jake Lever, Julia M. Barbarino, Li Gong, Rachel Huddart, Katrin Sangkuhl, Ryan Whaley, Michelle Whirl Carrillo, Mark Woon, Teri E. Klein, Russ B. Altman
2019 J jnl
LIONS: analysis suite for detecting and quantifying transposable element initiated transcription from RNA-seq.
Bioinform.
Artem Babaian, I. Richard Thompson, Jake Lever, Liane Gagnier, Mohammad M. Karimi, Dixie L. Mager
2018 J jnl
A collaborative filtering-based approach to biomedical knowledge discovery.
Bioinform.
Jake Lever, Sitanshu Gakkhar, Michael Gottlieb, Tahereh Rashnavadi, Santina Lin, Celia Siu, Maia Smith, Martin R. Jones, Martin Krzywinski, Steven J. M. Jones
2017 — conf
Painless Relation Extraction with Kindred.
BioNLP
Jake Lever, Steven J. Jones
2017 J jnl
PubRunner: A light-weight framework for updating text mining results.
F1000Research
Kishore R. Anekalla, J. P. Courneya, Nicolas Fiorini, Jake Lever, Michael Muchow, Ben Busby
2016 — conf
CancerMine: Knowledge Base Construction for Personalised Cancer Treatment.
ICBO/BioCreative
Jake Lever, Martin Jones, Steven J. Jones
2016 — conf
VERSE: Event and Relation Extraction in the BioNLP 2016 Shared Task.
BioNLP (Shared Task)
Jake Lever, Steven J. Jones
2012 J jnl
Real-time controllable fire using textured forces.
Vis. Comput.
Jake Lever, Taku Komura