1
Steven J Altschuler, David Ingerman, Edward K Jung, Greg Ridgeway, Lani F Wu: Methods and apparatus using task models for targeting marketing information to computer users based on a task being performed. Microsoft Corporation, Peter L Michaelson, Michaelson & Wallace, December 11, 2001: US06330554 (61 worldwide citation)

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by “clustering” similar tasks together. The task analy ...


2
Steven J Altschuler, David Ingerman, Edward K Jung, Greg Ridgeway, Lani F Wu: Methods and apparatus for using task models to help computer users complete tasks. Microsoft Corporation, Westman Champlin & Kelly P A, August 12, 2003: US06606613 (53 worldwide citation)

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by “clustering” similar tasks together. The task analy ...


3
Steven J Altschuler, Lani F Wu, David Ingerman: Methods and apparatus for determining or inferring influential rumormongers from resource usage data. Microsoft Corporation, Peter L Michaelson, Michaelson & Wallace, November 21, 2000: US06151585 (49 worldwide citation)

Resource usage data is used to infer degrees of influence between users. Once such inferences are made, a directed graph representation of the users and the inferred "influence" between the users can be generated. "Influential rumormongers" can then be determined from the directed graph, for example ...


4
Steven J Altschuler, David Ingerman, Edward K Jung, Greg Ridgeway, Lani F Wu: Methods and apparatus for analyzing computer-based tasks to build task models. Microsoft Corporation, Westman Champlin & Kelly P A, August 17, 2004: US06778971 (37 worldwide citation)

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by “clustering” similar tasks together. The task analy ...


5
Daniel D Shoemaker, Stewart Scherer, Steven J Altschuler, Lani F Wu, Christopher D Armour: Gene discovery using microarrays. Rosetta Inpharmatics, Pennie & Edmonds, March 30, 2004: US06713257 (18 worldwide citation)

The invention relates to methods and systems (e.g., computer systems and computer program products) for identifying and characterizing genes using microarrays. In particular, the invention provides for improved, robust methods for detecting genes through the use of microarrays to analyze the express ...


6
Steven J Altschuler, William E Kim, Lani F Wu: Componentized digital signal processing. Microsoft Corporation, Christensen O Connor Johnson & Kindness PLLC, September 22, 1998: US05812430 (7 worldwide citation)

A method, system and computer product for allowing efficient user interaction with digital time-based signals. User control and filter information (symbolic, procedural or a combination of both) are optimized for greatly improving calculating efficiency. First, filters are symbolically optimized. Th ...


7
Daniel D Shoemaker, Stewart Scherer, Steven J Altschuler, Lani F Wu, Christopher D Armour: Gene discovery using microarrays. Rosetta Inpharmatics, Jones Day, August 19, 2004: US20040161791-A1

The invention relates to methods and systems (e.g., computer systems and computer program products) for identifying and characterizing genes using microarrays. In particular, the invention provides for improved, robust methods for detecting genes through the use of microarrays to analyze the express ...


8
Steven J Altschuler, Lit Hsin Loo, Lani F Wu: Quantification of the Effects of Perturbations on Biological Samples. The Board of Regents of the University of Texas System, Fulbright & Jaworski, August 14, 2008: US20080195322-A1

A multivariate, automated and scalable method for extracting profiles from images to quantify the effects of perturbations on biological samples. Morphological features are determined from images of treated (perturbed) and control (unperturbed) biological samples, and multivariate classification, fo ...


9
Daniel D Shoemaker, Stewart Scherer, Steven J Altschuler, Lani F Wu, Christopher D Armour: Gene discovery using microarrays. Pennie And Edmonds, April 18, 2002: US20020045169-A1

The invention relates to methods and systems (e.g., computer systems and computer program products) for identifying and characterizing genes using microarrays. In particular, the invention provides for improved, robust methods for detecting genes through the use of microarrays to analyze the express ...