Edge Centrality via the Holevo Quantity. - Joshua Lockhart; Giorgia Minello; Luca Rossi 004; Simone Severini; Andrea Torsello (S+SSPR, 2016)

Combinatorial entanglement: detecting entanglement in quantum states using grid-labelled graphs. - Joshua Lockhart; Otfried Gühne; Simone Severini (Electron. Notes Discret. Math., 2017)

The Computational Complexity of Portal and Other 3D Video Games. - Erik D. Demaine; Joshua Lockhart; Jayson Lynch (FUN, 2018)

How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation? - Tucker Hybinette Balch; Mahmoud Mahfouz; Joshua Lockhart; Maria Hybinette; David Byrd (CoRR, 2019)

Combinatorial structures in quantum information. - Joshua Lockhart (2019)

SURF: improving classifiers in production by learning from busy and noisy end users. - Joshua Lockhart; Samuel Assefa; Ayham Alajdad; Andrew Alexander; Tucker Balch; Manuela Veloso (ICAIF, 2020)

Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. - Joshua Lockhart; Samuel Assefa; Tucker Balch; Manuela Veloso (CoRR, 2020)

Asynchronous collaborative learning across data silos. - Tiffany Tuor; Joshua Lockhart; Daniele Magazzeni (ICAIF, 2021)

Reductive MDPs: A Perspective Beyond Temporal Horizons. - Thomas Spooner; Rui Silva; Joshua Lockhart; Jason Long; Vacslav Glukhov (CoRR, 2022)

Feature Importance for Time Series Data: Improving KernelSHAP. - Mattia Jacopo Villani; Joshua Lockhart; Daniele Magazzeni (CoRR, 2022)

Towards learning to explain with concept bottleneck models: mitigating information leakage. - Joshua Lockhart; Nicolas Marchesotti; Daniele Magazzeni; Manuela Veloso (CoRR, 2022)

Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions. - Joshua Lockhart; Daniele Magazzeni; Manuela Veloso (CoRR, 2022)