Joshua Taylor

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 15

Top Topics

Kohonen Self Organizing Map

Agglomerative Clustering

Top Venues

IEEE Trans. Ind. Electron.

Neural Comput. Appl.

Publications

Hong Wang, Mason Huelskamp, Jakob Stober, Joshua Taylor, Amanda Joyner, Tyler Westhoven
Keeping Capstone Project Current with Technology. CSCI (2022)
Joshua Taylor, Erzsébet Merényi
Automating t-SNE parameterization with prototype-based learning of manifold connectivity. Neurocomputing 507 (2022)
Joshua Taylor, Erzsébet Merényi
DM-pruning CADJ graphs for SOM clustering. Neural Comput. Appl. 34 (1) (2022)
Joshua Taylor, Erzsébet Merényi
A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity. ESANN (2021)
Le Sun, Joshua Taylor, Xizheng Guo, Ming Cheng, Ali Emadi
A Linear Position Measurement Scheme for Long-Distance and High-Speed Applications. IEEE Trans. Ind. Electron. 68 (5) (2021)
Berker Bilgin, Brock Howey, Alan Dorneles Callegaro, Jianbin Liang, Milan Kordic, Joshua Taylor, Ali Emadi
Making the Case for Switched Reluctance Motors for Propulsion Applications. IEEE Trans. Veh. Technol. 69 (7) (2020)
Joshua Taylor
Effectiveness of SCADA System Security Used Within Critical Infrastructure. CoRR (2020)
Le Sun, Joshua Taylor, Alan Dorneles Callegaro, Ali Emadi
Stator-PM-Based Variable Reluctance Resolver With Advantage of Motional Back-EMF. IEEE Trans. Ind. Electron. 67 (11) (2020)
Erzsébet Merényi, Joshua Taylor
Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data. Neural Comput. Appl. 32 (24) (2020)
Mike Fraser, Jingqi Liu, Jenna Shapiro, Joshua Taylor, Alluna Everitt
Digital -is- Physical: How Functional Fabrication Disrupts Ubicomp Design Principles. HTTF (2019)
Joshua Taylor, Erzsébet Merényi
A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering. WSOM+ (2019)
Erzsébet Merényi, Joshua Taylor
SOM-empowered graph segmentation for fast automatic clustering of large and complex data. WSOM (2017)
Joshua Taylor, Kara Zaffarano, Ben Koller, Charlie Bancroft, Jason Syversen
Automated Effectiveness Evaluation of Moving Target Defenses: Metrics for Missions and Attacks. MTD@CCS (2016)
Erzsébet Merényi, Joshua Taylor, Andrea Isella
Deep data: discovery and visualization Application to hyperspectral ALMA imagery. Astroinformatics (2016)
Erzsébet Merényi, Joshua Taylor, Andrea Isella
Mining complex hyperspectral ALMA cubes for structure with neural machine learning. SSCI (2016)
Joshua Taylor, Ian Parberry, Thomas D. Parsons
Comparing Player Attention on Procedurally Generated vs. Hand Crafted Sokoban Levels with an Auditory Stroop Test. FDG (2015)
Naveen Sundar Govindarajulu, Selmer Bringsjord, Joshua Taylor
Proof verification and proof discovery for relativity. Synth. 192 (7) (2015)
Kara Zaffarano, Joshua Taylor, Samuel Hamilton
A Quantitative Framework for Moving Target Defense Effectiveness Evaluation. MTD@CCS (2015)
Joshua Taylor, Ian Parberry
Randomness + Structure = Clutter: A Procedural Object Placement Generator. ICEC (2011)
Selmer Bringsjord, Colin Kuebler, Joshua Taylor, Griffin Milsap, Sean Austin, Jonas Braasch, Pauline Oliveros, Doug Van Nort, Adam Rosenkrantz, Kasia Hayden
Creativity and conducting: handle in the CAIRA project. Creativity & Cognition (2011)
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, Patrick Henry Winston, Beverly Park Woolf
Reports of the AAAI 2008 Fall Symposia. AI Mag. 30 (2) (2009)
Selmer Bringsjord, Andrew Shilliday, Joshua Taylor, Dan Werner, Micah Clark, Ed Charpentier, Alexander Bringsjord
Toward Logic-Based Cognitively Robust Synthetic Characters in Digital Environments. AGI (2008)
Joshua Taylor, Selmer Bringsjord
Discovery Using Heterogeneous Combined Logics. AAAI Fall Symposium: Automated Scientific Discovery (2008)
Joshua Taylor, Andrew Shilliday, Selmer Bringsjord
Provability-Based Semantic Interoperability Via Translation Graphs. ER Workshops (2007)
Selmer Bringsjord, Konstantine Arkoudas, Deepa Mukherjee, Andrew Edward Shilliday, Joshua Taylor, Micah Henry Clark, Elizabeth Bringsjord
The Multi-Mind Effect. IC-AI (2007)
Andrew Shilliday, Joshua Taylor, Micah Clark, Selmer Bringsjord
Provability-Based Semantic Interoperability for Information Sharing and Joint Reasoning. OIC (2007)
Selmer Bringsjord, Konstantine Arkoudas, Micah Clark, Andrew Shilliday, Joshua Taylor, Bettina Schimanski, Yingrui Yang
Reporting on Some Logic-Based Machine Reading Research. AAAI Spring Symposium: Machine Reading (2007)
Selmer Bringsjord, Owen Kellett, Andrew Shilliday, Joshua Taylor, Bram van Heuveln, Yingrui Yang, Jeffrey Baumes, Kyle Ross
A new Gödelian argument for hypercomputing minds based on the busy beaver problem. Appl. Math. Comput. 176 (2) (2006)
Selmer Bringsjord, Joshua Taylor
P=NP CoRR (2004)