Modeling Score Distributions and Continuous Covariates: A Bayesian Approach. - Mel McCurrie; Hamish Nicholson; Walter J. Scheirer; Samuel E. Anthony (IJCB, 2020)

Psychophysical Evaluation of Deep Re-Identification Models. - Hamish Nicholson (CoRR, 2020)

HPCache: Memory-Efficient OLAP Through Proportional Caching. - Hamish Nicholson; Periklis Chrysogelos; Anastasia Ailamaki (DaMoN, 2022)

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics. - Hamish Nicholson; Aunn Raza; Periklis Chrysogelos; Anastasia Ailamaki (CIDR, 2023)

Chaosity: Understanding Contemporary NUMA-Architectures. - Hamish Nicholson; Andreea Nica; Aunn Raza; Viktor Sanca; Anastasia Ailamaki (TPCTC, 2023)

Declarative Concurrent Data Structures. - Aunn Raza; Hamish Nicholson; Ioanna Tsakalidou; Anna Herlihy; Prathamesh Tagore; Anastasia Ailamaki (CoRR, 2024)

HPCache: memory-efficient OLAP through proportional caching revisited. - Hamish Nicholson; Periklis Chrysogelos; Anastasia Ailamaki (VLDB J., 2024)

The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory Datasets. - Hamish Nicholson; Konstantinos Chasialis; Antonio Boffa; Anastasia Ailamaki (DaMoN, 2025)