P=NP - Selmer Bringsjord; Joshua Taylor (CoRR, 2004)

A new Gödelian argument for hypercomputing minds based on the busy beaver problem. - Selmer Bringsjord; Owen Kellett; Andrew Shilliday; Joshua Taylor; Bram van Heuveln; Yingrui Yang; Jeffrey Baumes; Kyle Ross (Appl. Math. Comput., 2006)

Reporting on Some Logic-Based Machine Reading Research. - Selmer Bringsjord; Konstantine Arkoudas; Micah Clark; Andrew Shilliday; Joshua Taylor; Bettina Schimanski; Yingrui Yang (AAAI Spring Symposium: Machine Reading, 2007)

Provability-Based Semantic Interoperability Via Translation Graphs. - Joshua Taylor; Andrew Shilliday; Selmer Bringsjord (ER Workshops, 2007)

The Multi-Mind Effect. - Selmer Bringsjord; Konstantine Arkoudas; Deepa Mukherjee; Andrew Edward Shilliday; Joshua Taylor; Micah Henry Clark; Elizabeth Bringsjord (IC-AI, 2007)

Provability-Based Semantic Interoperability for Information Sharing and Joint Reasoning. - Andrew Shilliday; Joshua Taylor; Micah Clark; Selmer Bringsjord (OIC, 2007)

Discovery Using Heterogeneous Combined Logics. - Joshua Taylor; Selmer Bringsjord (AAAI Fall Symposium: Automated Scientific Discovery, 2008)

Toward Logic-Based Cognitively Robust Synthetic Characters in Digital Environments. - Selmer Bringsjord; Andrew Shilliday; Joshua Taylor; Dan Werner; Micah Clark; Ed Charpentier; Alexander Bringsjord (AGI, 2008)

Reports of the AAAI 2008 Fall Symposia. - Jacob Beal; Paul Bello; Nicholas L. Cassimatis; Michael H. Coen; Paul R. Cohen; Alex Davis; Mark T. Maybury; Alexei V. Samsonovich; Andrew Shilliday; Marjorie Skubic; Joshua Taylor; Sharon Walter; et al. (AI Mag., 2009)

Creativity and conducting: handle in the CAIRA project. - Selmer Bringsjord; Colin Kuebler; Joshua Taylor; Griffin Milsap; Sean Austin; Jonas Braasch; Pauline Oliveros; Doug Van Nort; Adam Rosenkrantz; Kasia Hayden (Creativity & Cognition, 2011)

Randomness + Structure = Clutter: A Procedural Object Placement Generator. - Joshua Taylor; Ian Parberry (ICEC, 2011)

An exploration in fluid logics. - Joshua Taylor (2014)

A Quantitative Framework for Moving Target Defense Effectiveness Evaluation. - Kara Zaffarano; Joshua Taylor; Samuel N. Hamilton (MTD@CCS, 2015)

Comparing Player Attention on Procedurally Generated vs. Hand Crafted Sokoban Levels with an Auditory Stroop Test. - Joshua Taylor; Ian Parberry; Thomas D. Parsons (FDG, 2015)

Proof verification and proof discovery for relativity. - Naveen Sundar Govindarajulu; Selmer Bringsjord; Joshua Taylor (Synth., 2015)

Deep data: discovery and visualization Application to hyperspectral ALMA imagery. - Erzsébet Merényi; Joshua Taylor; Andrea Isella (Astroinformatics, 2016)

Automated Effectiveness Evaluation of Moving Target Defenses: Metrics for Missions and Attacks. - Joshua Taylor; Kara Zaffarano; Ben Koller; Charlie Bancroft; Jason Syversen (MTD@CCS, 2016)

Mining complex hyperspectral ALMA cubes for structure with neural machine learning. - Erzsébet Merényi; Joshua Taylor; Andrea Isella (SSCI, 2016)

SOM-empowered graph segmentation for fast automatic clustering of large and complex data. - Erzsébet Merényi; Joshua Taylor (WSOM, 2017)

Digital -is- Physical: How Functional Fabrication Disrupts Ubicomp Design Principles. - Mike Fraser 001; Jingqi Liu; Jenna Shapiro; Joshua Taylor; Aluna Everitt (HTTF, 2019)

A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering. - Joshua Taylor; Erzsébet Merényi (WSOM+, 2019)

Effectiveness of SCADA System Security Used Within Critical Infrastructure. - Joshua Taylor (CoRR, 2020)

Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data. - Erzsébet Merényi; Joshua Taylor (Neural Comput. Appl., 2020)

Stator-PM-Based Variable Reluctance Resolver With Advantage of Motional Back-EMF. - Le Sun 004; Joshua Taylor; Alan Dorneles Callegaro; Ali Emadi (IEEE Trans. Ind. Electron., 2020)

Making the Case for Switched Reluctance Motors for Propulsion Applications. - Berker Bilgin; Brock Howey; Alan Dorneles Callegaro; Jianbin Liang; Milan Kordic; Joshua Taylor; Ali Emadi (IEEE Trans. Veh. Technol., 2020)

A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity. - Joshua Taylor; Erzsébet Merényi (ESANN, 2021)

A Linear Position Measurement Scheme for Long-Distance and High-Speed Applications. - Le Sun 004; Joshua Taylor; Xizheng Guo; Ming Cheng 001; Ali Emadi (IEEE Trans. Ind. Electron., 2021)

Keeping Capstone Project Current with Technology. - Hong Wang; Mason Huelskamp; Jakob Stober; Joshua Taylor; Amanda Joyner; Tyler Westhoven (CSCI, 2022)

Automating t-SNE parameterization with prototype-based learning of manifold connectivity. - Joshua Taylor; Erzsébet Merényi (Neurocomputing, 2022)

DM-pruning CADJ graphs for SOM clustering. - Joshua Taylor; Erzsébet Merényi (Neural Comput. Appl., 2022)

Reconfigurable Multi-Rotor for High-Precision Physical Interaction. - Joshua Taylor; Nursultan Imanberdiyev; Meng Yee Michael Chuah; Wei-Yun Yau; Guillaume Sartoretti; Efe Camci (IROS, 2024)

To Land or Not to Land? Digital Twin Approach for Safe Landing of Multirotors on Complex Terrain. - Joshua Taylor; Wei-Yun Yau; Guillaume Sartoretti; Efe Camci (TENCON, 2024)