Putting It All Together: Methods for Combining Neural Networks. - Michael P. Perrone (NIPS, 1993)

The Ni1000: High Speed Parallel VLSI for Implementing Multilayer Perceptrons. - Michael P. Perrone; Leon N. Cooper (NIPS, 1994)

Regression NSS: An Alternative to Cross Validation. - Michael P. Perrone; Brian S. Blais (COLT, 1995)

Writer dependent recognition of on-line unconstrained handwriting. - Jayashree Subrahmonia; Krishna Nathan; Michael P. Perrone (ICASSP, 1996)

Parameter tying in writer-dependent recognition of on-line handwriting. - Krishna Nathan; Jayashree Subrahmonia; Michael P. Perrone (ICPR, 1996)

Ink Retrieval from Handwritten Documents. - Thomas Kwok; Michael P. Perrone; Gregory F. Russell (IDEAL, 2000)

Adaptive N-Best List Handwritten Word Recognition. - Thomas Kwok; Michael P. Perrone (ICDAR, 2001)

On-line handwriting recognition using character bigram match vectors. - Adnan El-Nasan; Michael Perrone (IWFHR, 2002)

Confidence modeling for verification post-processing for handwriting recognition. - John F. Pitrelli; Michael P. Perrone (IWFHR, 2002)

Handwritten document retrieval. - Gregory F. Russell; Michael P. Perrone; Yi-Min Chee; Aiman Ziq (IWFHR, 2002)

Machine learning in a multimedia document retrieval framework. - Michael P. Perrone; Gregory F. Russell; Aiman Ziq (IBM Syst. J., 2002)

EM mixture model probability table compression. - Sung-Jung Cho; Michael Perrone; Eugene H. Ratzlaff (ICASSP (2), 2003)

Probability Table Compression for Handwritten Character Recognition. - Sung-Jung Cho; Michael P. Perrone; Eugene H. Ratzlaff (ICDAR, 2003)

Markov Model Document Retrieval. - Michael P. Perrone; Alessandro Vinciarelli (ICDAR, 2003)

Confidence-Scoring Post-Processing for Off-Line Handwritten-Character Recognition Verification. - John F. Pitrelli; Michael P. Perrone (ICDAR, 2003)

Combining Online and Offline Handwriting Recognition. - Alessandro Vinciarelli; Michael P. Perrone (ICDAR, 2003)

Pre-processing Methods for Handwritten Arabic Documents. - Faisal Farooq; Venu Govindaraju; Michael P. Perrone (ICDAR, 2005)

Cell BE - Cell BE software programming and toolkits. - Michael P. Perrone; Tanaz Sowadagar (SC, 2006)

Confidence modeling for handwriting recognition: algorithms and applications. - John F. Pitrelli; Jayashree Subrahmonia; Michael P. Perrone (Int. J. Document Anal. Recognit., 2006)

Cell Multiprocessor Communication Network: Built for Speed. - Michael Kistler; Michael Perrone; Fabrizio Petrini (IEEE Micro, 2006)

Multicore Surprises: Lessons Learned from Optimizing Sweep3D on the Cell Broadband Engine. - Fabrizio Petrini; Gordon C. Fossum; Juan Fernández 001; Ana Lucia Varbanescu; Michael Kistler; Michael Perrone (IPDPS, 2007)

Speech recognition systems on the Cell Broadband Engine processor. - Yang Liu; Holger Jones; Sheila Vaidya; Michael Perrone; Borivoj Tydlitát; Ashwini K. Nanda (IBM J. Res. Dev., 2007)

HMMer-Cell: High Performance Protein Profile Searching on the Cell/B.E. Processor. - Jizhu Lu; Michael Perrone; Kursad Albayraktaroglu; Manoj Franklin (ISPASS, 2008)

Multicore Programming Challenges. - Michael Perrone (Euro-Par, 2009)

Fulcrum's FocalPoint FM4000: A Scalable, Low-Latency 10GigE Switch for High-Performance Data Centers. - Uri Cummings; Dan Daly; Rebecca Collins; Virat Agarwal; Fabrizio Petrini; Michael Perrone; Davide Pasetto (Hot Interconnects, 2009)

Faster FAST: multicore acceleration of streaming financial data. - Virat Agarwal; David A. Bader; Lin Dan; Lurng-Kuo Liu; Davide Pasetto; Michael Perrone; Fabrizio Petrini (Comput. Sci. Res. Dev., 2009)

Novel performance optimization of large-scale discrete-event simulation on the Cell Broadband Engine. - Qi Liu 009; Gabriel A. Wainer; Ligang Lu; Michael Perrone (HPCS, 2010)

Cell blade based H.264 video encoding engine for large scale video surveillance applications. - Ligang Lu; Brent Paulovicks; Vadim Sheinin; Michael Perrone (VCIP, 2010)

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison - Bijia Pang; Ue-Li Pen; Michael Perrone (CoRR, 2010)

High performance computing of line of sight viewshed. - Ligang Lu; Brent Paulovicks; Michael Perrone; Vadim Sheinin (ICME, 2011)

SmartGrid: analytics for the electric grid of the future. - Robert F. Enenkel; Michael Perrone (CASCON, 2012)

Reducing Data Movement Costs: Scalable Seismic Imaging on Blue Gene. - Michael Perrone; Lurng-Kuo Liu; Ligang Lu; Karen A. Magerlein; Changhoan Kim; Irina Fedulova; Artyom Semenikhin (IPDPS, 2012)

Coupling a Basin Modeling and a Seismic Code using MOAB. - Mi Yan; Kirk E. Jordan; Dinesh K. Kaushik; Michael Perrone; Vipin Sachdeva; Timothy J. Tautges; John Magerlein (ICCS, 2012)

Determination of performance characteristics of scientific applications on IBM Blue Gene/Q. - Constantinos Evangelinos; Robert Walkup; Vipin Sachdeva; Kirk E. Jordan; Hormozd Gahvari; I-Hsin Chung; Michael P. Perrone; Ligang Lu; Lurng-Kuo Liu; Karen A. Magerlein (IBM J. Res. Dev., 2013)

Performance Modeling for Hardware Thread-Level Speculation. - Ying-Chieh Wang; Che-Rung Lee; Yeh-Ching Chung; I-Hsin Chung; Michael Perrone (IPDPS Workshops, 2014)

Hardware Thread-Level Speculation Performance Analysis. - Ying-Chieh Wang; I-Hsin Chung; Che-Rung Lee; Michael Perrone; Yeh-Ching Chung (HPCC/CSS/ICESS, 2015)

Speeding Up Stencil Computations with Kernel Convolution. - Guilherme C. Januario; Bryan S. Rosenburg; Yoonho Park; Michael Perrone; José E. Moreira; Tereza Cristina M. B. Carvalho (SBAC-PAD, 2016)

Translating the Pen and Paper Brainstorming Process into a Cognitive and Immersive System. - Matthew Peveler; Shannon Briggs; Jaimie Drozdal; Lilit Balagyozyan; Chang Sun; Michael Perrone; Hui Su (HCI (2), 2019)

Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. - Oktie Hassanzadeh; Debarun Bhattacharjya; Mark Feblowitz; Kavitha Srinivas; Michael Perrone; Shirin Sohrabi; Michael Katz 001 (IJCAI, 2019)

Optimal Mini-Batch Size Selection for Fast Gradient Descent. - Michael P. Perrone; Haidar Khan; Changhoan Kim; Anastasios Kyrillidis; Jerry Quinn; Valentina Salapura (CoRR, 2019)

Causal Knowledge Extraction through Large-Scale Text Mining. - Oktie Hassanzadeh; Debarun Bhattacharjya; Mark Feblowitz; Kavitha Srinivas; Michael Perrone; Shirin Sohrabi; Michael Katz 001 (AAAI, 2020)