Information Technology Practitioner Skills in Europe: Current Status and Challenges for the Future. - Wolffried Stucky; Matthew Dixon; Peter Bumann; Andreas Oberweis (Computer Science in Perspective, 2003)

Acceleration of market value-at-risk estimation. - Matthew Dixon; Jike Chong; Kurt Keutzer (SC-WHPCF, 2009)

Calibration of stochastic volatility models on a multi-core CPU cluster. - Matthew Dixon; Mohammad Zubair (WHPCF@SC, 2013)

A portable and fast stochastic volatility model calibration using multi and many-core processors. - Matthew Dixon; Jörg Lotze; Mohammad Zubair (WHPCF@SC, 2014)

Accelerating option risk analytics in R using GPUs. - Matthew Dixon; Sabbir Ahmed Khan; Mohammad Zubair (SpringSim (HPS), 2014)

A Bayesian approach to ranking private companies based on predictive indicators. - Matthew Dixon; Jike Chong (AI Commun., 2014)

Implementing deep neural networks for financial market prediction on the Intel Xeon Phi. - Matthew Dixon; Diego Klabjan; Jin Hoon Bang (WHPCF@SC, 2015)

A portable, extensible and fast stochastic volatility model calibration using multi and many-core processors. - Matthew Dixon; Jörg Lotze; Mohammad Zubair (Concurr. Comput. Pract. Exp., 2016)

Workshop on high-performance computational finance. - Matthew Dixon; José E. Moreira; David Daly (Concurr. Comput. Pract. Exp., 2016)

Classiffication-based Financial Markets Prediction using Deep Neural Networks. - Matthew Dixon; Diego Klabjan; Jin Hoon Bang (CoRR, 2016)

Classification-based financial markets prediction using deep neural networks. - Matthew Dixon; Diego Klabjan; Jin Hoon Bang (Algorithmic Finance, 2017)

Sequence classification of the limit order book using recurrent neural networks. - Matthew Dixon (J. Comput. Sci., 2018)

G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning. - Matthew Dixon; Igor Halperin (CoRR, 2020)

Financial Forecasting With α-RNNs: A Time Series Modeling Approach. - Matthew Dixon; Justin London (Frontiers Appl. Math. Stat., 2020)

MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather. - Sylwester Klocek; Haiyu Dong; Matthew Dixon; Panashe Kanengoni; Najeeb Kazmi; Pete Luferenko; Zhongjian Lv; Shikhar Sharma; Jonathan A. Weyn; Siqi Xiang (CoRR, 2021)

Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method. - Matthew Dixon; Tyler Ward (Entropy, 2021)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

On the Abuse and Detection of Polyglot Files. - Luke Koch; Sean Oesch; Amul Chaulagain; Jared Dixon; Matthew Dixon; Mike Huettal; Amir Sadovnik; Cory L. Watson; Brian Weber; Jacob Hartman; Richard Patulski (CoRR, 2024)