• Linda Ness
• Unit: Rutgers University - DIMACS
• Organization: Rutgers University
• Interests: Theory, algorithms, and methodologies for representing, fusing, visualizing, and analyzing data and applications of these to real data sets, complex systems and real-world problems in multiple domain areas; Techniques for automated generation of features grounded in theories for use in machine learning and decision making; Statistics, Mathematics (especially geometry including algebraic and differential geometry), Data science, Computer science; Inter-disciplinary collaborations.
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