2011 IEEE 23rd International Conference on Tools with Artificial Intelligence

7-9 Nov. 2011

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  • [Front cover]

    Publication Year: 2011, Page(s): C1
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  • [Title page i]

    Publication Year: 2011, Page(s): i
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  • [Title page iii]

    Publication Year: 2011, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2011, Page(s): iv
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  • Table of contents

    Publication Year: 2011, Page(s):v - xix
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  • Preface

    Publication Year: 2011, Page(s): xx
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  • Organizing Committee

    Publication Year: 2011, Page(s):xxi - xxii
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  • Program Committee

    Publication Year: 2011, Page(s):xxiii - xxvi
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  • Reviewers

    Publication Year: 2011, Page(s):xxvii - xxx
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  • Keynotes

    Publication Year: 2011, Page(s):xxxi - xxxiv
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (105 KB)

    Recognition of cells, tissues and organs as complex systems with emergent properties has led to the creation of the field of systems biology, and this complexity has also been manifested in a number of prominent drug recalls due to unanticipated side effects. Cutting-edge machine-learning methods have an important role to play in understanding biological systems and aiding drug development. Cell i... View full abstract»

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  • Sponsors

    Publication Year: 2011, Page(s): xxxv
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  • A Hybrid Consensus and Clustering Method for Protein Structure Selection

    Publication Year: 2011, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    In protein tertiary structure prediction, a crucial step is to select near-native structures from a large number of predicted structural models. Over the years, many methods have been proposed for the protein structure selection problem. Despite significant advances, the discerning power of current approaches is still unsatisfactory. In this paper, we propose a new algorithm, CC-Select, that combi... View full abstract»

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  • Discriminative Mutation Chains in Virus Sequences

    Publication Year: 2011, Page(s):9 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (605 KB) | HTML iconHTML

    Influenza viruses mutate frequently and new mutations may emerge while old mutations disappear over a period of time. In addition, some mutations may be dominant in one sub-population but not in the other. Discovering such mutations can help to customize vaccines to increase the effectiveness for targeted group of people. In this paper, we study the problem of mining discriminative mutation chains... View full abstract»

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  • Flexible, Efficient and Interactive Retrieval for Supporting In-silico Studies of Endobacteria

    Publication Year: 2011, Page(s):17 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB) | HTML iconHTML

    Studying the interactions between arbuscular mycorrhizal fungi (AMFs) and their symbiotic endo bacteria has potentially strong impacts on the development of new biotechnology applications. The analysis of genomic data and syntenies is a key technique for acquiring information about phylogenetic relationships and metabolic functions of such organisms. In this paper we describe a case-based retrieva... View full abstract»

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  • Using Artificial Neural Network to Determine Favorable Wheelchair Tilt and Recline Usage in People with Spinal Cord Injury: Training ANN with Genetic Algorithm to Improve Generalization

    Publication Year: 2011, Page(s):25 - 32
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (247 KB) | HTML iconHTML

    People with spinal cord injury (SCI) are at risk for pressure ulcers because of their poor motor function and consequent prolonged sitting in wheelchairs. The current clinical practice typically uses the wheelchair tilt and recline to attain specific seating angles (sitting postures) to reduce seating pressure in order to prevent pressure ulcers. The rationale is to allow the development of reacti... View full abstract»

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  • Itemset Mining in Noisy Contexts: A Hybrid Approach

    Publication Year: 2011, Page(s):33 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (405 KB) | HTML iconHTML

    A general task in data mining consists in finding all rectangles of 1 in a boolean matrix in which the order of the rows and columns is not important. However, most algorithms which have been developed to solve this task are unable to be adapted to real data that may contain noise. The effect of the noise is to shatter relevant item sets into a set of small irrelevant item sets, yielding an explos... View full abstract»

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  • An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control

    Publication Year: 2011, Page(s):41 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (263 KB) | HTML iconHTML

    Recent studies in the controlled administration of intravenous propofol favor a robust automated delivery control system in lieu of a manual controller. In previous work, a Reinforcement Learning (RL) controller was successfully tested in silico and in human volunteers with promising results. In this paper, an Adaptive Neural Network Filter (ANNF) is introduced in an effort to improve RL control o... View full abstract»

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  • Simultaneous Feature and Model Selection for High-Dimensional Data

    Publication Year: 2011, Page(s):47 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (199 KB) | HTML iconHTML

    The paper proposes an Evolutionary-based method to improve the prediction performance of Support Vector Machines classifiers applied to both artificial and real-world datasets which suffer from the curse of dimensionality. This method performs a simultaneous feature and model selection to discover the subset of features and the SVM parameters' values which provide a low prediction error. Moreover,... View full abstract»

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  • Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection

    Publication Year: 2011, Page(s):51 - 58
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (226 KB) | HTML iconHTML

    Incomplete preferences of agents may render service selection ineffective. We address this problem by proposing a set of collaborative approaches to complementing agents' incomplete preferences in a qualitative way. For an agent, the approaches first find its similar agents, and then base the similar agents' qualitative preferences to complement this agent's missing preferences. We analyze and com... View full abstract»

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  • Local Search with Configuration Checking for SAT

    Publication Year: 2011, Page(s):59 - 66
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (206 KB) | HTML iconHTML

    Local Search is an appealing method for solving the Boolean Satisfiability problem (SAT). However, this method suffers from the cycling problem which severely limits its power. Recently, a new strategy called configuration checking (CC) was proposed, for handling the cycling problem in local search. The CC strategy was used to improve a state-of the-art local search algorithm for Minimum Vertex Co... View full abstract»

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  • Dynamic Polarity Adjustment in a Parallel SAT Solver

    Publication Year: 2011, Page(s):67 - 73
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1588 KB) | HTML iconHTML

    In this paper, a new heuristic for polarity selection is proposed. This heuristic is defined for parallel SAT solvers. The selected polarity is an important component of modern SAT solvers, in particular in portfolio ones. Indeed, these solvers are often based on the cooperation/competition principle. In this case, the polarity can be used to guide the solver in the search space. A criterion based... View full abstract»

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  • Using a Goal-Agenda and Committed Actions in Real-Time Planning

    Publication Year: 2011, Page(s):74 - 81
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (191 KB) | HTML iconHTML

    In the context of real-time planning, this paper investigates the contributions of two enhancements for selecting actions. First, the agenda-driven planning enhancement ranks relevant atomic goals and solves them incrementally in a best-first manner. Second, the committed actions enhancement commits a sequence of actions to be executed at the following time steps. To assess these two enhancements,... View full abstract»

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  • Developing Strategies for Improving Planning and Scheduling of Actions in RTS Games

    Publication Year: 2011, Page(s):82 - 89
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (845 KB) | HTML iconHTML

    This article describes techniques developed for generating and scheduling actions using partial order planning and SLA* in the production of resources for Real-time Strategy (RTS) Games. RTS games are characterized by two important steps. In the first step a plan of action should be carried out to produce resources. In the second step, the resources produced in the former step are employed in batt... View full abstract»

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  • Key-Based Problem Decomposition for Relational Constraint Satisfaction Problems

    Publication Year: 2011, Page(s):90 - 95
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (743 KB) | HTML iconHTML

    Constraint satisfaction problems (CSP) are often posed over data residing in relational database systems, which serve as passive data-storage back ends. Several studies have demonstrated a number of important advantages to having database systems capable of natively modelling and solving CSPs. This paper studies the automated decomposition of the input CSP, borrowing another distinctive idea of re... View full abstract»

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  • A Planning Algorithm for Incorporating Attempts and Nondeterminism into Interactive Stories

    Publication Year: 2011, Page(s):96 - 101
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (213 KB) | HTML iconHTML

    In order to maintain their replay value and entertain the users, interactive storytelling systems demand the support of algorithms that, besides providing diversity of plots (without losing coherence) and possibilities of interaction, are capable of generating stories in a suitable amount of time, so that the user experience doesn't result in frustration. In this context, automated planning algori... View full abstract»

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