Efficient Model Selection for Large-Scale Nearest-Neighbor Data Mining. - Greg Hamerly; Greg Speegle (BNCOD, 2010)

Signaling pathway prediction by path frequency in protein-protein interaction networks. - Yilan Bai; Greg Speegle; Young-Rae Cho (BIBM, 2013)

P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO Annotations. - Young-Rae Cho; Yanan Xin; Greg Speegle (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

On using cached results to enumerate maximal k-cliques in GeneWeaver. - Qi Yang; Greg Speegle; Erich J. Baker (ICNC-FSKD, 2017)

Compensating Transactions. - Greg Speegle (Encyclopedia of Database Systems (2nd ed.), 2018)

Semantic Atomicity. - Greg Speegle (Encyclopedia of Database Systems (2nd ed.), 2018)

Partitionable Programs Using Tyro V2. - Arun Sanjel; Greg Speegle (SDSC, 2022)

OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams. - Mohammad Abu-Shaira; Alejandro Rodriguez; Greg Speegle; Victor S. Sheng; Ishfaq Ahmad 001 (IEEE Big Data, 2023)

Online Linear Regression Based on Weighted Average. - Mohammad Abu-Shaira; Greg Speegle (SDSC, 2023)

OLR-WA Online Regression with Weighted Average. - Mohammad Abu-Shaira; Greg Speegle (CoRR, 2023)

ACFed: Communication-Efficient & Class-Balancing Federated Learning with Adaptive Consensus Dropout & Model Quantization. - Shaif Chowdhury; Aaron Carney; Greg Hamerly; Greg Speegle (IEEE Big Data, 2024)

Automated Synthesis of Distributed Code from Sequential Snippets Using Deep Learning. - Arun Sanjel; Bikram Khanal; Pablo Rivas 001; Greg Speegle (IEEE Big Data, 2024)

NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs. - Arun Sanjel; Bikram Khanal; Greg Speegle; Pablo Rivas 001 (CoRR, 2024)