James P. Long

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions.
CoRR
Amir Asiaee, Kavey Aryan, James P. Long
2025 J jnl
AUPRC: a metric for evaluating the performance of
Briefings Bioinform.
Hongxu Zhu, Amir Asiaee, Leila Azinfar, Jun Li, Han Liang, Ehsan Irajizad, Kim-Anh Do, James P. Long
2025 J jnl
Causal Discovery with Mixed Latent Confounding via Precision Decomposition.
CoRR
Amir Asiaee, Samhita Pal, James O'Quinn, James P. Long
2025 J jnl
Causal models and prediction in cell line perturbation experiments.
BMC Bioinform.
James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do
2025 J jnl
DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding.
CoRR
Samhita Pal, James O'Quinn, Kaveh Aryan, Heather Pua, James P. Long, Amir Asiaee
2025 J jnl
Digital twins in healthcare: a comprehensive review and future directions.
Frontiers Digit. Health
Hamid Khoshfekr Rudsari, Becky Tseng, Hongxu Zhu, Lulu Song, Chunhui Gu, Abhishikta Roy, Ehsan Irajizad, Joseph Butner, James P. Long, Kim-Anh Do
2025 J jnl
Rank-based learning: a novel high-throughput algorithm resilient to missing data and effective for datasets with small sample size.
Briefings Bioinform.
Lulu Song, Hamid Khoshfekr Rudsari, Johannes F. Fahrmann, Jody V. Vykoukal, Sam Hanash, James P. Long, Kim-Anh Do, Ehsan Irajizad
2025 J jnl
Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge.
CoRR
Chunhui Gu, Mohammad Sadegh Nasr, James P. Long, Kim-Anh Do, Ehsan Irajizad
2023 J jnl
A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes.
Bioinform.
Licai Huang, James P. Long, Ehsan Irajizad, James D. Doecke, Kim-Anh Do, Min Jin Ha
2022 J jnl
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.
Frontiers Artif. Intell.
Ehsan Irajizad, Ranran Wu, Jody V. Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B. Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathy, Vicente Valero, Senthil Damodaran, Gaiane M. Rauch, Beatriz E. Adrada, Rosalind Candelaria, Jason B. White, Abenaa Brewster, Banu Arun, James P. Long, Kim-Anh Do, Sam Hanash, Johannes F. Fahrmann
2022 J jnl
Sample selection bias in evaluation of prediction performance of causal models.
Stat. Anal. Data Min.
James P. Long, Min Jin Ha
2021 J jnl
Sample Selection Bias in Evaluation of Prediction Performance of Causal Models.
CoRR
James P. Long, Min Jin Ha
2020 J jnl
A flexible procedure for mixture proportion estimation in positive-unlabeled learning.
Stat. Anal. Data Min.
Zhenfeng Lin, James P. Long