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Timothy C. Havens
Timothy Craig Havens
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2020 – today
- 2024
- [i7]Advaith Venkatramanan Sethuraman, Anja Sheppard, Onur Bagoren, Christopher Pinnow, Jamey Anderson, Timothy C. Havens, Katherine A. Skinner:
Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark. CoRR abs/2401.14546 (2024) - 2023
- [j40]Miraj B. Kayastha
, Tao Liu
Reconstructing 42 Years (1979-2020) of Great Lakes Surface Temperature through a Deep Learning Approach. Remote. Sens. 15(17): 4253 (2023) - [c75]Evan Lucas, Dylan Kangas, Timothy C. Havens:
A Reference-free Segmentation Quality Index (SegReFree). EMNLP (Findings) 2023: 2957-2968 - [c74]Evan Lucas, Timothy C. Havens:
Cluster Validity for Fuzzy Text Segmentation. FUZZ 2023: 1-6 - 2022
- [j39]Steven Whitaker, Andrew Barnard
Through-Ice Acoustic Source Tracking Using Vision Transformers with Ordinal Classification. Sensors 22(13): 4703 (2022) - [c73]Evan Lucas, Steven Whitaker, Timothy C. Havens:
Online learning with binary feedback for multi-class problems. SSCI 2022: 374-380 - [c72]Nicholas Hamilton, Adam Webb, Matt Wilder, Ben Hendrickson, Matt Blanck, Erin Nelson, Wiley Roemer, Timothy C. Havens:
Enhancing Visualization and Explainability of Computer Vision Models with Local Interpretable Model-Agnostic Explanations (LIME). SSCI 2022: 604-611 - [c71]Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens:
Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data. SSCI 2022: 743-749 - [i6]Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens:
Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data. CoRR abs/2202.07592 (2022) - 2021
- [j38]Sakineh Yazdanparast
Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation. IEEE Trans. Big Data 7(6): 961-966 (2021) - [j37]Bryce J. Murray
Explainable AI for the Choquet Integral. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 520-529 (2021) - [j36]Sakineh Yazdanparast
Soft Overlapping Community Detection in Large-Scale Networks via Fast Fuzzy Modularity Maximization. IEEE Trans. Fuzzy Syst. 29(6): 1533-1543 (2021) - [j35]Muhammad Aminul Islam
A Generalized Fuzzy Extension Principle and Its Application to Information Fusion. IEEE Trans. Fuzzy Syst. 29(9): 2726-2738 (2021) - [j34]Siva Krishna Kakula
Novel Regularization for Learning the Fuzzy Choquet Integral With Limited Training Data. IEEE Trans. Fuzzy Syst. 29(10): 2890-2901 (2021) - [c70]Matthew Deardorff, Derek T. Anderson, Timothy C. Havens, Bryce Murray, Siva K. Kakula, Timothy Wilkin:
Earth Mover's Distance as a Similarity Measure for Linear Order Statistics and Fuzzy Integrals. FUZZ-IEEE 2021: 1-8 - [c69]Siva Krishna Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson:
Online Sequential Learning of Fuzzy Measures for Choquet Integral Fusion. FUZZ-IEEE 2021: 1-6 - [c68]Bryce Murray, Derek T. Anderson, Timothy C. Havens:
Actionable XAI for the Fuzzy Integral. FUZZ-IEEE 2021: 1-8 - [c67]Eisa Hedayati
Light Field Compression by Residual CNN-Assisted JPEG. IJCNN 2021: 1-9 - [c66]Steven Whitaker, Zach Dekraker, Andrew Barnard, Timothy C. Havens, George D. Anderson:
Uncertain Inference Using Ordinal Classification in Deep Networks for Acoustic Localization. IJCNN 2021: 1-8 - [c65]Yilin Wang, Timothy C. Havens, Andrew Barnard:
Environment Sound Classification (ESC) with Choquet Integral Fusion. SSCI 2021: 1-7 - [i5]Eisa Hedayati, Timothy C. Havens, Jeremy P. Bos:
Machine learning method for light field refocusing. CoRR abs/2103.16020 (2021) - 2020
- [j33]Timothy C. Havens, James M. Keller:
Conference Report on 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019) [Conference Reports]. IEEE Comput. Intell. Mag. 15(1): 6-9 (2020) - [j32]Muhammad Aminul Islam
Enabling Explainable Fusion in Deep Learning With Fuzzy Integral Neural Networks. IEEE Trans. Fuzzy Syst. 28(7): 1291-1300 (2020) - [j31]Shaily Kabir
A Similarity Measure Based on Bidirectional Subsethood for Intervals. IEEE Trans. Fuzzy Syst. 28(11): 2890-2904 (2020) - [j30]Ian T. Cummings
Aperture-Level Simultaneous Transmit and Receive With Digital Phased Arrays. IEEE Trans. Signal Process. 68: 1243-1258 (2020) - [c64]Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson:
Extended Linear Order Statistic (ELOS) Aggregation and Regression. FUZZ-IEEE 2020: 1-7 - [c63]Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson:
Choquet Integral Ridge Regression. FUZZ-IEEE 2020: 1-8 - [c62]Anna Wilbik
On a Paradox of Extended Linguistic Summaries. FUZZ-IEEE 2020: 1-5 - [c61]Bryce J. Murray, Derek T. Anderson, Timothy C. Havens, Timothy Wilkin, Anna Wilbik
Information Fusion-2-Text: Explainable Aggregation via Linguistic Protoforms. IPMU (3) 2020: 114-127 - [c60]Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson:
Online Learning of the Fuzzy Choquet Integral. SMC 2020: 608-614 - [c59]Siva K. Kakula, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson:
Visualization and Analysis Tools for Explainable Choquet Integral Regression. SSCI 2020: 1678-1686 - [i4]Derek Anderson, Matthew Deardorff, Timothy C. Havens, Siva K. Kakula, Timothy Wilkin, Muhammad Aminul Islam, Anthony Pinar, Andrew R. Buck:
Fuzzy Integral = Contextual Linear Order Statistic. CoRR abs/2007.02874 (2020) - [i3]Eisa Hedayati, Timothy C. Havens, Jeremy P. Bos:
Light Field Compression by Residual CNN Assisted JPEG. CoRR abs/2010.00062 (2020)
2010 – 2019
- 2019
- [j29]James Bialas, Thomas Oommen, Timothy C. Havens:
Optimal segmentation of high spatial resolution images for the classification of buildings using random forests. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [c58]Timothy C. Havens, Derek T. Anderson:
Machine Learning of Choquet Integral Regression with Respect to a Bounded Capacity (or Non-monotonic Fuzzy Measure). FUZZ-IEEE 2019: 1-6 - [c57]Shaily Kabir, Christian Wagner, Timothy C. Havens, Derek T. Anderson:
Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions. FUZZ-IEEE 2019: 1-7 - [c56]Bryce Murray, Muhammad Aminul Islam, Anthony Pinar, Derek T. Anderson, Grant J. Scott, Timothy C. Havens, Fred Petry, Paul Elmore:
Transfer Learning for the Choquet Integral. FUZZ-IEEE 2019: 1-6 - [c55]Charlie T. Veal, Alex Yang, J. Alex Hurt, Muhammad Aminul Islam, Derek T. Anderson, Grant J. Scott, James M. Keller, Timothy C. Havens, Bo Tang:
Linear Order Statistic Neuron. FUZZ-IEEE 2019: 1-6 - [i2]Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar, Timothy C. Havens, Grant J. Scott, James M. Keller:
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks. CoRR abs/1905.04394 (2019) - 2018
- [j28]Husam I. Sweidan, Timothy C. Havens:
Sensor relocation for improved target tracking. IET Wirel. Sens. Syst. 8(2): 76-86 (2018) - [j27]Casey D. Demars, Michael C. Roggemann, Adam J. Webb, Timothy C. Havens:
Target Localization and Tracking by Fusing Doppler Differentials from Cellular Emanations with a Multi-Spectral Video Tracker. Sensors 18(11): 3687 (2018) - [j26]Adam J. Webb
Fast Image Reconstruction in Forward-Looking GPR Using Dual ℓ1 Regularization. IEEE Trans. Computational Imaging 4(3): 470-478 (2018) - [j25]Muhammad Aminul Islam
Data-Driven Compression and Efficient Learning of the Choquet Integral. IEEE Trans. Fuzzy Syst. 26(4): 1908-1922 (2018) - [c54]Ian T. Cummings
Information-Theoretic Optimization of Full-Duplex Communication between Digital Phased Arrays. Allerton 2018: 373-377 - [c53]Timothy C. Havens, Anthony J. Pinar, Derek T. Anderson, Christian Wagner:
SPFI: Shape-Preserving Choquet Fuzzy Integral for Non-Normal Fuzzy Set-Valued Evidence. FUZZ-IEEE 2018: 1-6 - [c52]Shaily Kabir, Christian Wagner, Timothy C. Havens, Derek T. Anderson:
A Bidirectional Subsethood Based Similarity Measure for Fuzzy Sets. FUZZ-IEEE 2018: 1-7 - [c51]Bryce Murray, Muhammad Aminul Islam, Anthony J. Pinar, Timothy C. Havens, Derek T. Anderson, Grant J. Scott:
Explainable AI for Understanding Decisions and Data-Driven Optimization of the Choquet Integral. FUZZ-IEEE 2018: 1-8 - [c50]Muhammad Aminul Islam, Derek T. Anderson, Xiaoxiao Du
Efficient Binary Fuzzy Measure Representation and Choquet Integral Learning. IPMU (1) 2018: 115-126 - [c49]Utkarsh Agrawal
Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. IPMU (1) 2018: 329-341 - 2017
- [j24]Jared Frank, Umaa Rebbapragada
Effect of Label Noise on the Machine-Learned Classification of Earthquake Damage. Remote. Sens. 9(8): 803 (2017) - [j23]Anthony J. Pinar
Efficient Multiple Kernel Classification Using Feature and Decision Level Fusion. IEEE Trans. Fuzzy Syst. 25(6): 1403-1416 (2017) - [c48]Timothy C. Havens, Christian Wagner, Derek T. Anderson:
Efficient modeling and representation of agreement in interval-valued data. FUZZ-IEEE 2017: 1-6 - [c47]Shaily Kabir, Christian Wagner, Timothy C. Havens, Derek T. Anderson, Uwe Aickelin
Novel similarity measure for interval-valued data based on overlapping ratio. FUZZ-IEEE 2017: 1-6 - [c46]Anthony J. Pinar, Timothy C. Havens, Muhammad Aminul Islam, Derek T. Anderson:
Visualization and learning of the Choquet integral with limited training data. FUZZ-IEEE 2017: 1-6 - [c45]Christian Wagner, Timothy C. Havens, Derek T. Anderson:
The arithmetic recursive average as an instance of the recursive weighted power mean. FUZZ-IEEE 2017: 1-6 - [c44]Timothy C. Havens, Anthony J. Pinar:
Generating random fuzzy (capacity) measures for data fusion simulations. SSCI 2017: 1-8 - 2016
- [j22]Derek T. Anderson, Paul Elmore
Fuzzy Choquet integration of homogeneous possibility and probability distributions. Inf. Sci. 363: 24-39 (2016) - [j21]Dheeraj Kumar
A Hybrid Approach to Clustering in Big Data. IEEE Trans. Cybern. 46(10): 2372-2385 (2016) - [c43]Joshua M. Manela, Timothy C. Havens:
Histogram particle swarm optimization (HistPSO): Evolving non-parametric acceleration distributions. CEC 2016: 2071-2076 - [c42]Husam I. Sweidan, Timothy C. Havens:
Coverage optimization in a terrain-aware wireless sensor network. CEC 2016: 3687-3694 - [c41]Hanieh Deilamsalehy, Timothy C. Havens:
Sensor fused three-dimensional localization using IMU, camera and LiDAR. IEEE SENSORS 2016: 1-3 - [c40]Leary Tomlin, Derek T. Anderson, Christian Wagner, Timothy C. Havens, James M. Keller:
Fuzzy Integral for Rule Aggregation in Fuzzy Inference Systems. IPMU (1) 2016: 78-90 - [c39]Anthony J. Pinar, Joseph Rice, Timothy C. Havens, Matthew Masarik, Joseph Burns, Derek T. Anderson:
Explosive hazard detection with feature and decision level fusion, multiple kernel learning, and fuzzy integrals. SSCI 2016: 1-8 - [p1]Timothy C. Havens, Derek T. Anderson, Kevin E. Stone, John Becker, Anthony J. Pinar:
Computational Intelligence Methods in Forward-Looking Explosive Hazard Detection. Recent Advances in Computational Intelligence in Defense and Security 2016: 13-44 - 2015
- [j20]Anthony Pinar, Bas Wijnen, Gerald C. Anzalone, Timothy C. Havens, Paul G. Sanders, Joshua M. Pearce:
Low-Cost Open-Source Voltage and Current Monitor for Gas Metal Arc Weld 3D Printing. J. Sensors 2015: 876714:1-876714:8 (2015) - [j19]Christian Wagner, Simon Miller, Jonathan M. Garibaldi
From Interval-Valued Data to General Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 23(2): 248-269 (2015) - [j18]Jianhai Su
Quadratic Program-Based Modularity Maximization for Fuzzy Community Detection in Social Networks. IEEE Trans. Fuzzy Syst. 23(5): 1356-1371 (2015) - [j17]Timothy C. Havens
Data-Informed Fuzzy Measures for Fuzzy Integration of Intervals and Fuzzy Numbers. IEEE Trans. Fuzzy Syst. 23(5): 1861-1875 (2015) - [c38]Titilope A. Adeyeba, Derek T. Anderson, Timothy C. Havens:
Insights and characterization of l1-norm based sparsity learning of a lexicographically encoded capacity vector for the Choquet integral. FUZZ-IEEE 2015: 1-7 - [c37]Anthony Pinar, Timothy C. Havens, Derek T. Anderson, Lequn Hu:
Feature and decision level fusion using multiple kernel learning and fuzzy integrals. FUZZ-IEEE 2015: 1-7 - [c36]Muhammad Aminul Islam, Derek T. Anderson, Timothy C. Havens:
Multi-criteria based learning of the Choquet integral using Goal programming. NAFIPS/WConSC 2015: 1-6 - 2014
- [j16]Derek T. Anderson, Timothy C. Havens
Extension of the Fuzzy Integral for General Fuzzy Set-Valued Information. IEEE Trans. Fuzzy Syst. 22(6): 1625-1639 (2014) - [j15]Sutharshan Rajasegarar
High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors. IEEE Trans. Geosci. Remote. Sens. 52(7): 3823-3832 (2014) - [j14]Masud Moshtaghi, James C. Bezdek, Timothy C. Havens
Streaming analysis in wireless sensor networks. Wirel. Commun. Mob. Comput. 14(9): 905-921 (2014) - [c35]Pranav Bhatkhande, Timothy C. Havens
Real time fuzzy controller for quadrotor stability control. FUZZ-IEEE 2014: 913-919 - [c34]Varan Navale, Timothy C. Havens
Fuzzy logic controller for energy management of power split hybrid electrical vehicle transmission. FUZZ-IEEE 2014: 940-947 - [c33]Jianhai Su
Fuzzy community detection in social networks using a genetic algortihm. FUZZ-IEEE 2014: 2039-2046 - [c32]Derek T. Anderson, Stanton R. Price, Timothy C. Havens
Regularization-based learning of the Choquet integral. FUZZ-IEEE 2014: 2519-2526 - [c31]Lequn Hu, Derek T. Anderson, Timothy C. Havens
Efficient and Scalable Nonlinear Multiple Kernel Aggregation Using the Choquet Integral. IPMU (1) 2014: 206-215 - [i1]Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain:
Scalable Kernel Clustering: Approximate Kernel k-means. CoRR abs/1402.3849 (2014) - 2013
- [j13]Mihail Popescu
A Cluster Validity Framework Based on Induced Partition Dissimilarity. IEEE Trans. Cybern. 43(1): 308-320 (2013) - [j12]Timothy C. Havens
A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks. IEEE Trans. Fuzzy Syst. 21(6): 1170-1175 (2013) - [c30]Dheeraj Kumar
clusiVAT: A mixed visual/numerical clustering algorithm for big data. IEEE BigData 2013: 112-117 - [c29]Zijian Zhang, Timothy C. Havens
Scalable approximation of kernel fuzzy c-means. IEEE BigData 2013: 161-168 - [c28]Timothy C. Havens
Fuzzy integrals of crowd-sourced intervals using a measure of generalized accord. FUZZ-IEEE 2013: 1-8 - [c27]Timothy C. Havens
Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE 2013 - [c26]Timothy C. Havens
Extension of iVAT to asymmetric matrices. FUZZ-IEEE 2013 - [c25]Lequn Hu, Derek T. Anderson, Timothy C. Havens
Multiple kernel aggregation using fuzzy integrals. FUZZ-IEEE 2013 - [c24]Christian Wagner
Generalization of the Fuzzy Integral for discontinuous interval- and non-convex interval fuzzy set-valued inputs. FUZZ-IEEE 2013: 1-8 - [c23]Timothy C. Havens, James C. Bezdek, Marimuthu Palaniswami:
Scalable single linkage hierarchical clustering for big data. ISSNIP 2013: 396-401 - [c22]Jianhai Su
A Generalized Fuzzy T-norm Formulation of Fuzzy Modularity for Community Detection in Social Networks. WCSC 2013: 65-76 - [c21]Stanton R. Price, Derek T. Anderson, Christian Wagner, Timothy C. Havens
Indices for Introspection on the Choquet Integral. WCSC 2013: 261-271 - 2012
- [j11]Timothy C. Havens
A new formulation of the coVAT algorithm for visual assessment of clustering tendency in rectangular data. Int. J. Intell. Syst. 27(6): 590-612 (2012) - [j10]Timothy C. Havens, James C. Bezdek, Christopher Leckie
Fuzzy c-Means Algorithms for Very Large Data. IEEE Trans. Fuzzy Syst. 20(6): 1130-1146 (2012) - [j9]Timothy C. Havens, James C. Bezdek:
An Efficient Formulation of the Improved Visual Assessment of Cluster Tendency (iVAT) Algorithm. IEEE Trans. Knowl. Data Eng. 24(5): 813-822 (2012) - [c20]Derek T. Anderson, Timothy C. Havens, Christian Wagner
Sugeno fuzzy integral generalizations for Sub-normal Fuzzy set-valued inputs. FUZZ-IEEE 2012: 1-8 - [c19]Timothy C. Havens
Cluster validity for kernel fuzzy clustering. FUZZ-IEEE 2012: 1-8 - [c18]Timothy C. Havens:
Approximation of kernel k-means for streaming data. ICPR 2012: 509-512 - [c17]Sutharshan Rajasegarar
Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids. IJCNN 2012: 1-8 - 2011
- [j8]James C. Bezdek, Sutharshan Rajasegarar
Anomaly Detection in Environmental Monitoring Networks [Application Notes]. IEEE Comput. Intell. Mag. 6(2): 52-58 (2011) - [j7]Masud Moshtaghi, Timothy C. Havens
Clustering ellipses for anomaly detection. Pattern Recognit. 44(1): 55-69 (2011) - [c16]Timothy C. Havens
Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering. FUZZ-IEEE 2011: 463-470 - [c15]Radha Chitta, Rong Jin, Timothy C. Havens
Approximate kernel k-means: solution to large scale kernel clustering. KDD 2011: 895-903 - [c14]Mihail Popescu
Correlation cluster validity. SMC 2011: 2531-2536 - 2010
- [j6]Timothy C. Havens
Computing With Words With the Ontological Self-Organizing Map. IEEE Trans. Fuzzy Syst. 18(3): 473-485 (2010) - [j5]Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller:
Relational Generalizations of Cluster Validity Indices. IEEE Trans. Fuzzy Syst. 18(4): 771-786 (2010) - [j4]Isaac J. Sledge, Timothy C. Havens
Relational Duals of Cluster-Validity Functions for the c -Means Family. IEEE Trans. Fuzzy Syst. 18(6): 1160-1170 (2010) - [c13]James C. Bezdek, Timothy C. Havens
Clustering elliptical anomalies in sensor networks. FUZZ-IEEE 2010: 1-8 - [c12]Timothy C. Havens
A fuzzy Choquet integral with an interval type-2 fuzzy number-valued integrand. FUZZ-IEEE 2010: 1-8 - [c11]Isaac J. Sledge, James C. Bezdek, Timothy C. Havens
A relational dual of the fuzzy possibilistic c-means algorithm. FUZZ-IEEE 2010: 1-9 - [c10]Timothy C. Havens
A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data. ICAISC (1) 2010: 363-371 - [c9]Timothy C. Havens
Incremental Kernel Fuzzy c-Means. IJCCI (Selected Papers) 2010: 3-18 - [c8]Derek T. Anderson, James M. Keller, Timothy C. Havens
Learning Fuzzy-Valued Fuzzy Measures for the Fuzzy-Valued Sugeno Fuzzy Integral. IPMU 2010: 502-511
2000 – 2009
- 2009
- [j3]Timothy C. Havens
Is VAT really single linkage in disguise? Ann. Math. Artif. Intell. 55(3-4): 237-251 (2009) - [j2]Timothy C. Havens
Clustering in ordered dissimilarity data. Int. J. Intell. Syst. 24(5): 504-528 (2009) - [j1]Isaac J. Sledge, Timothy C. Havens
Finding the number of clusters in ordered dissimilarities. Soft Comput. 13(12): 1125-1142 (2009) - [c7]Timothy C. Havens
Contour tracking of human exercises. CIVI 2009: 22-28 - [c6]Timothy C. Havens
Fuzzy contour tracking of human silhouettes. FUZZ-IEEE 2009: 951-956 - 2008
- [c5]Isaac J. Sledge, James M. Keller, Timothy C. Havens, Gregory L. Alexander, Marge Skubic:
Temporal Activity Analysis. AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems 2008: 100-108 - [c4]Timothy C. Havens
Ontological self-organizing maps for cluster visualization and functional summarization of gene products using Gene Ontology similarity measures. FUZZ-IEEE 2008: 104-109 - [c3]Mihail Popescu
A new cluster validity measure for bioinformatics relational datasets. FUZZ-IEEE 2008: 726-731 - [c2]Timothy C. Havens
Dunn's cluster validity index as a contrast measure of VAT images. ICPR 2008: 1-4 - [c1]Timothy C. Havens
Roach Infestation Optimization. SIS 2008: 1-7
Coauthor Index
Derek Anderson
aka: Derek T. Anderson
aka: Derek T. Anderson
James Keller 0001
aka: James M. Keller
aka: James M. Keller
Anthony Pinar
aka: Anthony J. Pinar
aka: Anthony J. Pinar
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