Stochastic Learning Networks and their Electronic Implementation. - Joshua Alspector; Robert B. Allen; Victor Hu; Srinagesh Satyanarayana (NIPS, 1987)

Performance of a Stochastic Learning Microchip. - Joshua Alspector; Bhusan Gupta; Robert B. Allen (NIPS, 1988)

Neural-style microsystems that learn. - Joshua Alspector (IEEE Commun. Mag., 1989)

Relaxation Networks for Large Supervised Learning Problems. - Joshua Alspector; Robert B. Allen; Anthony Jayakumar; Torsten Zeppenfeld; Ronny Meir (NIPS, 1990)

Learning of stable states in stochastic asymmetric networks. - Robert B. Allen; Joshua Alspector (IEEE Trans. Neural Networks, 1990)

Experimental Evaluation of Learning in a Neural Microsystem. - Joshua Alspector; Anthony Jayakumar; Stephan Luna (NIPS, 1991)

A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks. - Joshua Alspector; Ronny Meir; Ben P. Yuhas; Anthony Jayakumar; D. Lippe (NIPS, 1992)

A Volatility Measure for Annealing in Feedback Neural Networks. - Joshua Alspector; Torsten Zeppenfeld; Stephan Luna (Neural Comput., 1992)

A Study of Parallel Perturbative Gradient Descent. - D. Lippe; Joshua Alspector (NIPS, 1994)

Feature-based and Clique-based User Models for Movie Selection: A Comparative Study. - Joshua Alspector; Aleksander Kolcz; Nachimuthu Karunanithi (User Model. User Adapt. Interact., 1997)

Comparing Feature-Based and Clique-Based User Models for Movie Selection. - Joshua Alspector; Aleksander Kolcz; Nachimuthu Karunanithi (ACM DL, 1998)

Visual keyword-based word spotting in handwritten documents. - Aleksander Kolcz; Joshua Alspector; Marijke F. Augusteijn; Robert Carlson; George V. Popescu (Document Recognition, 1998)

An Internet-Based Newspaper Filtering and Personalization System (demonstration abstract). - Aleksander Kolcz; Joshua Alspector (SIGIR, 1999)

A Line-Oriented Approach to Word Spotting in Handwritten Documents. - Aleksander Kolcz; Joshua Alspector; Marijke F. Augusteijn (Pattern Anal. Appl., 2000)

Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking. - Aleksander Kolcz; Joshua Alspector (Inf. Retr., 2002)

The Impact of Feature Selection on Signature-Driven Spam Detection. - Aleksander Kolcz; Abdur Chowdhury; Joshua Alspector (CEAS, 2004)

Improved robustness of signature-based near-replica detection via lexicon randomization. - Aleksander Kolcz; Abdur Chowdhury; Joshua Alspector (KDD, 2004)

DARPA's Role in Machine Learning. - Joshua Alspector; Thomas G. Dietterich (AI Mag., 2020)

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Larry B. Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (CoRR, 2020)

Towards a Unifying Framework for Formal Theories of Novelty. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Lawrence Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (AAAI, 2021)

Representation Edit Distance as a Measure of Novelty. - Joshua Alspector (CoRR, 2021)