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2020 – today
- 2022
[j9]Joshua Taylor, Erzsébet Merényi:
Automating t-SNE parameterization with prototype-based learning of manifold connectivity. Neurocomputing 507: 441-452 (2022)- [j8]Joshua Taylor
, Erzsébet Merényi:
DM-pruning CADJ graphs for SOM clustering. Neural Comput. Appl. 34(1): 25-38 (2022) - [c18]Hong Wang, Mason Huelskamp, Jakob Stober, Joshua Taylor, Amanda Joyner, Tyler Westhoven:
Keeping Capstone Project Current with Technology. CSCI 2022: 2041-2044 - 2021
- [j7]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): 4435-4447 (2021) - [c17]Joshua Taylor, Erzsébet Merényi:
A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity. ESANN 2021 - 2020
- [j6]Erzsébet Merényi, Joshua Taylor:
Empowering graph segmentation methods with SOMs and CONN similarity for clustering large and complex data. Neural Comput. Appl. 32(24): 18161-18178 (2020) - [j5]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): 9790-9801 (2020) - [j4]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): 7172-7186 (2020) - [i2]Joshua Taylor:
Effectiveness of SCADA System Security Used Within Critical Infrastructure. CoRR abs/2012.11375 (2020)
2010 – 2019
- 2019
- [c16]Mike Fraser, Jingqi Liu, Jenna Shapiro, Joshua Taylor, Aluna Everitt:
Digital -is- Physical: How Functional Fabrication Disrupts Ubicomp Design Principles. HTTF 2019: 28:1-28:5 - [c15]Joshua Taylor, Erzsébet Merényi:
A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering. WSOM+ 2019: 44-54 - 2017
- [c14]Erzsébet Merényi, Joshua Taylor:
SOM-empowered graph segmentation for fast automatic clustering of large and complex data. WSOM 2017: 34-42 - 2016
- [c13]Erzsébet Merényi, Joshua Taylor, Andrea Isella:
Deep data: discovery and visualization Application to hyperspectral ALMA imagery. Astroinformatics 2016: 281-290 - [c12]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: 129-134 - [c11]Erzsébet Merényi, Joshua Taylor, Andrea Isella:
Mining complex hyperspectral ALMA cubes for structure with neural machine learning. SSCI 2016: 1-9 - 2015
- [j3]Naveen Sundar Govindarajulu, Selmer Bringsjord, Joshua Taylor:
Proof verification and proof discovery for relativity. Synth. 192(7): 2077-2094 (2015) - [c10]Kara Zaffarano, Joshua Taylor, Samuel N. Hamilton:
A Quantitative Framework for Moving Target Defense Effectiveness Evaluation. MTD@CCS 2015: 3-10 - [c9]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 - 2014
- [b1]Joshua Taylor:
An exploration in fluid logics. Rensselaer Polytechnic Institute, USA, 2014 - 2011
- [c8]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: 319-320 - [c7]Joshua Taylor, Ian Parberry:
Randomness + Structure = Clutter: A Procedural Object Placement Generator. ICEC 2011: 424-427
2000 – 2009
- 2009
- [j2]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): 106-111 (2009) - 2008
- [c6]Joshua Taylor, Selmer Bringsjord:
Discovery Using Heterogeneous Combined Logics. AAAI Fall Symposium: Automated Scientific Discovery 2008: 30- - [c5]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: 87-98 - 2007
- [c4]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: 23-28 - [c3]Joshua Taylor, Andrew Shilliday, Selmer Bringsjord:
Provability-Based Semantic Interoperability Via Translation Graphs. ER Workshops 2007: 180-189 - [c2]Selmer Bringsjord, Konstantine Arkoudas, Deepa Mukherjee, Andrew Edward Shilliday, Joshua Taylor, Micah Henry Clark, Elizabeth Bringsjord:
The Multi-Mind Effect. IC-AI 2007: 43-49 - [c1]Andrew Shilliday, Joshua Taylor, Micah Clark, Selmer Bringsjord:
Provability-Based Semantic Interoperability for Information Sharing and Joint Reasoning. OIC 2007: 109-128 - 2006
- [j1]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): 516-530 (2006) - 2004
- [i1]Selmer Bringsjord, Joshua Taylor:
P=NP. CoRR cs.CC/0406056 (2004)
Coauthor Index
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