RTP Payload Format for JPEG-compressed Video. - Lance M. Berc; William C. Fenner; Ron Frederick; Steven McCanne; Paul Stewart (RFC, 1998)

Linear Mixed Models in Practice: A SAS-Oriented Approach. - Paul Stewart (Technometrics, 1999)

Focus plus context screens: combining display technology with visualization techniques. - Patrick Baudisch; Nathaniel Good; Paul Stewart (UIST, 2001)

Talking to Strangers: Authentication in Ad-Hoc Wireless Networks. - Dirk Balfanz; Diana K. Smetters; Paul Stewart; H. Chi Wong (NDSS, 2002)

Network-in-a-Box: How to Set Up a Secure Wireless Network in Under a Minute. - Dirk Balfanz; Glenn Durfee; Rebecca E. Grinter; Diana K. Smetters; Paul Stewart (USENIX Security Symposium, 2004)

Breaking out of the Browser to Defend Against Phishing Attacks. - Diana K. Smetters; Paul Stewart (CEAS, 2008)

VoCCN: voice-over content-centric networks. - Van Jacobson; Diana K. Smetters; Nicholas H. Briggs; Michael F. Plass; Paul Stewart; James D. Thornton; Rebecca L. Braynard (ReArch@CoNEXT, 2009)

Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors. - Kan Liu 002; Qiao Zhang; Zi-Qiang Zhu; Jing Zhang; Anwen Shen; Paul Stewart (Int. J. Autom. Comput., 2010)

Study of near consensus complex social networks using eigen theory. - Bingo Wing-Kuen Ling; Paul Stewart; Kok Lay Teo; Chi Kong Tse (ISCAS, 2011)

Trend extraction based on Hilbert-Huang transform. - Zhijing Yang; Chris Bingham; Bingo Wing-Kuen Ling; Michael Gallimore; Paul Stewart; Yu Zhang 001 (CSNDSP, 2012)

Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors. - Michael Biehl; Petra Schneider; David Smith; Han Stiekema; Angela Taylor; Beverly Hughes; Cedric Shackleton; Paul Stewart; Wiebke Arlt (ESANN, 2012)

Condition Parameter Estimation for Photovoltaic Buck Converters Based on Adaptive Model Observers. - Zhaohui Cen; Paul Stewart (IEEE Trans. Reliab., 2017)

Towards a Complete Direct Hybrid Bonding D2W Integration Flow: Known-Good-Dies and Die Planarization Modules Development. - Emilie Bourjot; Paul Stewart; Christophe Dubarry; E. Lagoutte; E. Rolland; Nicolas Bresson; G. Romano; D. Scevola; Viorel Balan; Jérôme Dechamp; Marc Zussy; Gaëlle Mauguen; et al. (3DIC, 2019)

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review. - Asim Waqas; Aakash Tripathi; Ravi Prakash Ramachandran; Paul Stewart; Ghulam Rasool 001 (CoRR, 2023)

Future Swedish 3D City Models - Specifications, Test Data, and Evaluation. - Maria Uggla; Per-Ola Olsson; Barzan Abdi; Björn Axelsson; Matthew Calvert; Ulrika Christensen; Daniel Gardevärn; Gabriel Hirsch; Eric Jeansson; Zuhret Kadric; Jonas Lord; Axel Loreman; et al. (ISPRS Int. J. Geo Inf., 2023)

SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology. - Asim Waqas; Aakash Tripathi; Sabeen Ahmed; Ashwin Mukund; Hamza Farooq; Matthew B. Schabath; Paul Stewart; Mia Naeini; Ghulam Rasool 001 (CoRR, 2024)

Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes. - Asim Waqas; Aakash Tripathi; Paul Stewart; Mia Naeini; Ghulam Rasool 001 (CoRR, 2024)