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Displaying 1-17 out of 17 total
Hidden Source Behavior Change Tracking and Detection
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Eugene Santos Jr.,Qi Gu,Eunice E. Santos,John Korah
Issue Date:December 2012
pp. 51-58
An important task of modeling complex social behaviors is to observe and understand individual/group beliefs and attitudes. These beliefs, however, are not stable and may change multiple times as people gain additional information/perceptions from various ...
 
Reducing the Computational Load of Energy Evaluations for Protein Folding
Found in: Bioinformatic and Bioengineering, IEEE International Symposium on
By Eunice E. Santos, Eugene Santos, Jr.
Issue Date:May 2004
pp. 79
Predicting the native conformation using computational protein models requires a large number of energy evaluations even with simplified models such as hydrophobic-hydrophilic (HP) models. Clearly, energy evaluations constitute a significant portion of com...
 
Consistency of Test Cases in Validation of Bayesian Knowledge-Bases
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Eugene Santos Jr., Hang T. Dinh
Issue Date:November 2004
pp. 468-475
Knowledge validation is a vital phase in knowledge engineering which is ultimately aimed at correcting the knowledge-base such that when inferenced over, it will satisfy all test cases specified by the expert users. Naturally, such a goal is unachievable i...
 
Trends & Controversies
Found in: IEEE Intelligent Systems
By Anton Nijholt,Ronald C. Arkin,Sébastien Brault,Richard Kulpa,Franck Multon,Benoit Bideau,David Traum,Hayley Hung,Eugene Santos Jr.,Deqing Li,Fei Yu,Lina Zhou,Dongsong Zhang
Issue Date:November 2012
pp. 60-75
Many applications require knowledge about how to deceive, including those related to safety, security, and warfare. Speech and text analysis can help detect deception, as can cameras, microphones, physiological sensors, and intelligent software. Models of ...
 
Local Minima-Based Exploration for Off-Lattice Protein Folding
Found in: Computational Systems Bioinformatics Conference, International IEEE Computer Society
By Eugene Santos Jr., Keum Joo Kim, Eunice E. Santos
Issue Date:August 2003
pp. 615
No summary available.
   
Evaluation of the Effects of User-Sensitivity on Text Summarization
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Hien Nguyen, Eugene Santos Jr., Russell Jacob, Nathan Smith
Issue Date:December 2008
pp. 927-931
Along with research on information retrieval and filtering, text summarization is an effective technique to help users save time in finding critical information and making timely decisions. Some existing summarization approaches have used a user’s interest...
 
Parallel Complexity for Solving Tridiagonal Linear Systems with Multiple Right-Hand Sides on 2-D Torus Interconnection Networks
Found in: High-Performance Computing in the Asia-Pacific Region, International Conference on
By Eunice E. Santos, Eugene S. Santos, Eugene Santos Jr
Issue Date:May 2000
pp. 607
Precise upper and lower bounds on running time are derived for the problem of solving tridiagonal linear systems with multiple RHS vectors on 2-dimensional torus interconnection networks. We present various important lower bounds on execution time for solv...
 
Intent-Driven Insider Threat Detection in Intelligence Analyses
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Eugene Santos Jr., Hien Nguyen, Fei Yu, Keumjoo Kim, Deqing Li, John T. Wilkinson, Adam Olson, Russell Jacob
Issue Date:December 2008
pp. 345-349
When decisions need to be made in government, the intelligence community (IC) is tasked with analyzing the situation. This analysis is based on a huge amount of information and usually under severe time constraints. As such, it is particularly vulnerable t...
 
OmniSeer: A Cognitive Framework for User Modeling, Reuse of Prior and Tacit Knowledge, and Collaborative Knowledge Services
Found in: Hawaii International Conference on System Sciences
By John Cheng, Ray Emami, Larry Kerschberg, Eugene Santos, Jr,., Qunhua Zhao, Hien Nguyen, Hua Wang, Michael Huhns, Marco Valtorta, Jiangbo Dang, Hrishikesh Goradia, Jingshan Huang, Sharon Xi
Issue Date:January 2005
pp. 293c
This paper describes the current state of the OmniSeer system. OmniSeer supports intelligence analysts in the handling of massive amounts of data, the construction of scenarios, and the management of hypotheses. OmniSeer models analysts with dynamic user m...
   
The Challenge of Cultural Modeling for Inferring Intentions and Behavior
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Professor Eugene Santos Jr.
Issue Date:November 2007
pp. xxv
Accounting for social, cultural, and political factors must form the basis for understanding decision-making, actions, and reactions of individuals, thus driving their behaviors and intentions. Clearly, the individual is not wholly defined by just personal...
   
The Challenge of Cultural Modeling for Inferring Intentions and Behavior
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Professor Eugene Santos Jr.
Issue Date:November 2007
pp. xxx
Accounting for social, cultural, and political factors must form the basis for understanding decision-making, actions, and reactions of individuals, thus driving their behaviors and intentions. Clearly, the individual is not wholly defined by just personal...
   
Exploring the Relationship between Knowledge and Algorithm Performance in Discrete Optimization
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Xiaomin Zhong, Eugene Santos Jr., Robert McCartney
Issue Date:November 2004
pp. 604-611
Knowledge about the characteristics of a discrete optimization problem can often be leveraged for improved algorithm performance. Having an understanding of the relationship between knowledge and performance can provide us useful hints and better predictio...
 
Modeling, Analysis and Visualization of Uncertainty in the Battlespace
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Bruce McQueary, Lee Krause, Eugene Santos Jr., Hua Wang, Qunhua Zhao
Issue Date:November 2004
pp. 782-783
Our goal is to develop a technology that enables information uncertainty portrayal, which provides battlespace decision makers with effective means to incorporate uncertainty into their decision making process. In this paper, we describe the prototype Unce...
   
Enhancing Behavioral Fidelity within Distributed Virtual Environments
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Sheila B. Banks, Eugene Santos Jr, Martin R. Stytz
Issue Date:November 1997
pp. 0514
For a computer-generated force (CGF) application to be useful in training environments, it must exhibit complex, realistic behavior within the battlespace. To achieve this level of fidelity, it must operate at multiple skill levels and exhibit competency a...
 
Impacts of Analysts' Cognitive Styles on the Analytic Process
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Eugene Santos Jr., Hien Nguyen, Fei Yu, Deqing Li, John T. Wilkinson
Issue Date:September 2010
pp. 601-610
A user’s cognitive style has been found to affect how they search for information, how they analyze the information, and how they make decisions in an analytical process. In this paper, we propose an approach that uses Hidden Markov Models (HMM) to dynamic...
 
Flexible Algorithm Selection Framework for Large Scale Metalearning
Found in: 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Eugene Santos Jr.,Alex Kilpatrick,Hien Nguyen,Qi Gu,Andy Grooms,Chris Poulin
Issue Date:December 2012
pp. 496-503
We are working on the problem of developing a flexible, generic metal earning process that supports algorithm selection based on studying the algorithms' past performance behaviors. State of the art machine learning systems display limitations in that they...
 
GESIA: Uncertainty-Based Reasoning for a Generic Expert System Intelligent User Interface
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Robert A. Harrington, Sheila Banks, Eugene Santos Jr.
Issue Date:November 1996
pp. 52
Generic expert systems are reasoning systems that can be used in many application domains, thus requiring domain independence. The user interface for a generic expert system must contain an intelligence in order to maintain this domain independence and man...
 
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