My main research interest involves statistical learning systems, that is, computer programs able to learn relations between certain data on the basis of a collection of examples. My contributions include both theoretical aspects and real-life applications.

• Learning System Development Tools (1987-present).
• Convolutional Neural Networks (1987-present)
• Neural Networks as Statistical Learning Systems (1988-1990)
• Learning with Stochastic Gradient Descent (1988-present)
• Locally Regularized Learning Systems (1991-1992)
• Transductive Learning (1994-present)
• Early Data Mining (1992-1994)
• Structured Learning Systems (1990-2010)
• DjVu Document Image Compression (1997-2002).
• Scalable Video Coding (2001-2003)
• Fast Kernel Learning Algorithms (2003-2006)
• Large-Scale Learning (1987-present)
• Machine Reasoning and Machine Learning (2010-present)

Many pages are incomplete.