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ECAI 2010 SCHEDULE - MAIN CONFERENCE

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TUESDAY 17 AUGUST 2010

18:15-18:30 Opening Session (Room 3.2.14)

18:30-19:30 Invited Speaker: Ian Horrocks, Oxford (Room 3.2.14)

19:30-> Welcome reception (Museu da Cidade)

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WEDNESDAY 18 AUGUST 2010

9:00--10:00 Invited Speaker: Manuela Veloso, CMU (Room 3.2.14)

10:00-10:30 Coffee break

10:30-12:30 Technical Sessions:
    * SESSION 1A (Room 6.2.53): PROPOSITIONAL LOGIC
    * SESSION 1B (Room 3.2.14): DESCRIPTION LOGICS & ONTOLOGIES
    * SESSION 1C (Room 6.2.56): COOPERATION  
    * SESSION 1D (Room 3.2.13): DIAGNOSIS & DISCOVERY
    * SESSION 1E (Room 6.1.36): ARGUMENTATION & DIALOGUE
    * SESSION 1F (Room 3.2.16): PAIS SESSION ONE

12:30-14:00 Lunch break

14:00-15:30 Technical Sessions:
    * SESSION 2A (Room 6.2.53): ROBOTICS & AUTONOMOUS SYSTEMS
    * SESSION 2B (Room 3.2.14): COALITIONS & TEAMS
    * SESSION 2C (Room 6.1.36): PLANNING
    * SESSION 2D (Room 3.2.13): UNCERTAINTY -- BAYESIAN METHODS
    * SESSION 2E (Room 6.2.56): PREFERENCE MODELLING AND PREFERENCE AGGREGATION
    * SESSION 2F (Room 3.2.16): PAIS SESSION TWO

15:30-16:00 Coffee break

16:00-18:00 Technical Sessions:
    * SESSION 3A (Room 6.2.56): CLUSTERING & CLASSIFICATION
    * SESSION 3B (Room 6.1.36): PLANNING
    * SESSION 3C (Room 3.2.13): REINFORCEMENT LEARNING
    * SESSION 3D (Room 6.2.53): NEGOTIATION & ALLOCATION
    * SESSION 3E (Room 3.2.14): ECCAI DISTINGUISHED DISSERTATION AWARD TALK
    * SESSION 3F (Room 3.2.16): PAIS SESSION THREE

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THURSDAY 19 AUGUST 2010

9:00-10:00 Invited Speaker: Judea Pearl, UCLA (Room 3.2.14)

10:00-10:30 Coffee break

10:30-12:30 Technical Sessions:
    * SESSION 4A (Room 3.2.13): MACHINE LEARNING -- KERNEL METHODS
    * SESSION 4B (Room 6.1.36): PLANNING
    * SESSION 4C (Room 3.2.14): DESCRIPTION LOGICS & ONTOLOGIES
    * SESSION 4D (Room 6.2.56): NATURAL LANGUAGE PROCESSING &

INFORMATION RETRIEVAL
    * SESSION 4E (Room 3.2.16): LOGICAL FOUNDATIONS OF MAS
    * SESSION 4F (Room 6.2.53): AUCTIONS & TRADING SYSTEMS

12:30-14:00 Lunch break

14:00-15:30 Poster Session (Room )

15:30-16:00 Coffee Break

16:00-17:30 Technical Sessions
    * SESSION 5A (Room 3.2.14): TRUST & RECOMMENDATION
    * SESSION 5B (Room 6.1.36): BELIEF REVISION, UPDATE, AND MERGING
    * SESSION 5C (Room 6.2.53): BELIEF-DESIRE-INTENTION ARCHITECTURES
    * SESSION 5D (Room 6.2.56): APPLICATIONS
    * SESSION 5E (Room 3.2.13): PROCESSES AND STOCHASTIC MODELS

19:30-> Conference dinner

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FRIDAY 20 AUGUST 2010

9:00--10:00 Invited Speaker: Christos Papadimitriou, Berkeley  (Room 3.2.14)

10:00-10:30 Coffee break

10:30-12:30 Technical sessions
    * SESSION 6A (Room 6.2.53): LOGICAL FOUNDATIONS OF KR
    * SESSION 6B (Room 6.1.36): SEARCH & HEURISTICS
    * SESSION 6C (Room 6.2.56): NATURAL LANGUAGE PROCESSING
    * SESSION 6D (Room 3.2.13): MACHINE LEARNING & DATA MINING
    * SESSION 6E (Room 3.2.16): CLUSTERING & CLASSIFICATION
    * SESSION 6F (Room 3.2.14): CONSTRAINTS

12:30-14:00 Lunch

14:00-15:00 Technical sessions:
    * SESSION 7A (Room 3.2.14): ACTION, TIME, AND CHANGE
    * SESSION 7B (Room 6.2.56): FOUNDATIONS OF LOGICAL REASONING
    * SESSION 7C (Room 3.2.13): NEURAL NETS
    * SESSION 7D (Room 3.2.16): ORIGINS OF LANGUAGE
    * SESSION 7E (Room 6.2.53): UNCERTAINTY IN AI
    * SESSION 7F (Room 6.1.36): LOGIC PROGRAMMING & ANSWER SET PROGRAMMING

15:00-> Closing Session (Room 6.1.36 + C6 Atrium)

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SESSION 1A: PROPOSITIONAL LOGIC (Room 6.2.53)

 534: Top-Down Algorithms for Constructing Structured DNNF: Theoretical and Practical Implications
 Knot Pipatsrisawat, Adnan Darwiche

 577: On the Use of Logical Interactions for Establishing Decomposability
 Knot Pipatsrisawat, Adnan Darwiche

 681: On Computing Backbones of Propositional Theories
 Joao Marques-Silva, Mikolas Janota, Ines Lynce

 450: Extending Clause Learning DPLL with Parity Reasoning
 Tero Laitinen, Tommi Junttila, Ilkka Niemela

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SESSION 1B: DESCRIPTION LOGICS & ONTOLOGIES (Room 3.2.14)

 611: Complexity of Axiom Pinpointing in the DL-Lite Family of Description Logics
 Rafael Penaloza, Baris Sertkaya

 392: Tractable Reasoning with DL-Programs over Datalog-rewritable Description Logics
 Stijn Heymans, Thomas Eiter, Guohui Xiao

 168: Enriching EL-Concepts with Greatest Fixpoints
 Carsten Lutz, Robert Piro, Frank Wolter

 296: Tableau-based Forgetting in ALC Ontologies
 Zhe Wang, Kewen Wang, Xiaowang Zhang, Rodney Topor

 27: Verifying Properties of Infinite Sequences of Description Logic Actions
 Franz Baader, Hongkai Liu, Anees ul Mehdi

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SESSION 1C: COOPERATION (Room 6.2.56)

 383: Hybrid Continuous Max-Sum Algorithms for Decentralised Coordination
 Thomas Voice, Ruben Stranders, Alex Rogers, Nicholas R. Jennings

 478: BnB-ADOPT+ with Several Soft AC Levels
 Patricia Gutierrez, Pedro Meseguer

 552: Optimal Task Migration in Service-Oriented Systems: Algorithms and Mechanisms
 Sebastian Stein, Enrico Gerding, Nicholas R. Jennings

 449: Modeling the problem of many hands in organisations
 Tiago de Lima, Lamber Royakkers, Frank Dignum

 177: Learning better together : the roles of broadcast and forgetness
 Gauvain Bourgne, Henry Soldano, Amal EL Fallah Seghrouchni

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SESSION 1D: DIAGNOSIS & DISCOVERY (Room 3.2.13)

 146: Event Model Learning from Complex Videos using ILP
 Krishna Dubba, Anthony Cohn, David Hogg

 609: A Decentralised Symbolic Diagnosis Approach
 Anika Schumann, Yannick Pencole, Sylvie Thiebaux

 233: Diagnosability Analysis of Discrete Events Systems with Autonomous Components
 Lina Ye, Philippe DAGUE

 67: Diagnosing Process Trajectories Under Partially Known Behavior
 Gerhard Friedrich, Wolfgang Mayer, Markus Stumptner

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SESSION 1E: ARGUMENTATION & DIALOGUE (Room 6.1.36)

 7: Computation in Extended Argumentation Frameworks
 Paul Dunne, Sanjay Modgil, Trevor Bench-Capon

 191: An Argumentation-based Approach to Database Repair
 Emanuel Santos, Joao Pavao Martins, Helena Galhardas

 581: A Common Computational Framework for Semiring-based Argumentation Systems
 Stefano Bistarelli, Francesco Santini

 56: Behavior-oriented Commitment-based Protocols
 Matteo Baldoni, Cristina Baroglio, Elisa Marengo

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SESSION 2A: ROBOTICS & AUTONOMOUS SYSTEMS (Room 6.2.53)

 261: Deep Reasoning in Clarification Dialogues with Mobile Robots
 Cui Jian, Desislava Zhekova, Hui Shi, John Bateman

 374: Stream-Based Reasoning Support for Autonomous Systems
 Fredrik Heintz, Jonas Kvarnstrom, Patrick Doherty

 238: Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies
 Stefan Zickler, Manuela Veloso

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SESSION 2B: COALITIONS & TEAMS (Room 3.2.14)

 139: Computational Aspects of Extending Shapley Value to Coalitional Games with Externalities
 Tomasz Michalak, Macin Szamotulski, Dorota Marciniak, Talal  Rahwan, Nicholas R. Jennings

 556: On the stability of an Optimal Coalition Structure
 Stephane Airiau, Sandip Sen

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SESSION 2C: PLANNING (Room 6.1.36)

 660: Planning with Concurrency under Resources and Time Uncertainty
 Eric Beaudry, Froduald Kabanza, Francois Michaud

 312: Brothers in Arms? On AI Planning and Cellular Automata
 Joerg Hoffmann, Nazim Fates, Hector Palacios

 401: Landmarks in Hierarchical Planning
 Mohamed Elkawkagy, Bernd Schattenberg, Susanne Biundo

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SESSION 2D: UNCERTAINTY -- BAYESIAN METHODS (Room 3.2.13)

 623: The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks
 Johan H.P. Kwisthout, Hans L. Bodlaender, Linda van der Gaag

 409: Context-Specific Independence in Directed Relational Probabilistic Models
 Daan Fierens

 327: Bayesian Monte Carlo for the Global Optimization of Expensive Functions
 Perry Groot, Adriana Birlutiu, Tom Heskes

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SESSION 2E: PREFERENCE MODELLING AND PREFERENCE AGGREGATION (Room 6.2.56)

 197: An Empirical Study of the Manipulability of Single Transferable Voting
 Toby Walsh

 314: Dynamic Matching with a Fall-back Option
 Sujit Gujar, David Parkes

 490: Learning conditionally lexicographic preference relations
 Richard Booth, Yann Chevaleyre, Jerome Lang, Jerome Mengin, Chattrakul Sombattheera

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SESSION 3A: CLUSTERING & CLASSIFICATION (Room 6.2.56)

 427: Boosting Clustering by Active Constraint Selection
 Viet-Vu Vu, Nicolas Labroche, Bernadette Bouchon-Meunier

 764: A Very Fast Method for Clustering Big Text Datasets
 Frank Lin, William W. Cohen

 503: Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning
 Rui Leite, Pavel Brazdil

 232: Improving Hierarchical Classification with Partial Labels
 Nam Nguyen

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SESSION 3B: PLANNING (Room 6.1.36)

 705: Implicit Learning of Compiled Macro-Actions for Planning
 M.A.Hakim Newton, John Levine

 273: Strengthening Landmark Heuristics via Hitting Sets
 Bonet Blai, Malte Helmert

 377: Sound and Complete Landmarks for And/Or Graphs
 Emil Keyder, Silvia Richter, Malte Helmert

 587: Iterative Bounding LAO*
 Hakan Warnquist, Jonas Kvarnstrom, Patrick Doherty

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SESSION 3C: REINFORCEMENT LEARNING (Room 3.2.13)

 43: Analysis of Inverse Reinforcement Learning with Perturbed Demonstrations
 Francisco Melo, Ricardo Ferreira, Manuel Lopes

 45: Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
 Reinaldo Bianchi, Ramon Lopez de Mantaras

 353: Uncertainty Propagation for Efficient Exploration in Reinforcement Learning
 Alexander Hans, Steffen Udluft

 538: The Dynamics of Multi-Agent Reinforcement Learning
 Luke Dickens, Krysia Broda, Alessandra Russo

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SESSION 3D : NEGOTIATION & ALLOCATION (Room 6.2.53)

 46: An Efficient Procedure for Multi-agent Negotiation with CP-nets
 Minyi Li, Bao Vo, Ryszard Kowalczyk

 574: Modelling Multilateral Negotiation in Linear Logic
 Daniele Porello, Ulle Endriss

 247: Fair Division under Ordinal Preferences:  Computing Envy-Free Allocations of Indivisible Goods
 Sylvain Bouveret, Ulle Endriss, Jerome Lang

 148: LP Solvable Models for Multiagent Fair Allocation problems
 Julien Lesca, Patrice Perny

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SESSION 3E : ECCAI DISTINGUISHED DISSERTATION AWARD TALK (Room 3.2.14)

 WINNER : Trading Expressivity for Efficiency in Statistical Relational Learning
 Niels Landwehr

 HONOURABLE MENTION : Translation-based approaches to Conformant Planning
 Héctor Palacios

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SESSION 4A: MACHINE LEARNING -- KERNEL METHODS (Room 3.2.13)

 553: Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation
 Antonino Freno, Edmondo Trentin, Marco Gori

 368: Multitask Kernel-based Learning with Logic Constraints
 Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo Rigutini, Leonardo Rigutini

 707: Kernel Methods for Revealed Preference Analysis
 Sebastien Lahaie

 584: Regression Learning with Multiple Noisy Oracles
 Kosta Ristovski, Debasish Das, Vladimir Ouzienko, Yuhong  Guo, Zoran Obradovic

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SESSION 4B: PLANNING (Room 6.1.36)

 448: Constraint Based Planning with Composable Substate Graphs
 Peter Gregory, Derek Long, Maria Fox

 571: Knowledge Compilation Using Interval Automata and Applications to Planning
 Alexandre Niveau, Helene Fargier, Cedric Pralet, Gerard Verfaillie

 627: Compiling Uncertainty Away in Non-Deterministic Conformant Planning
 Alexandre Albore, Hector Palacios, Hector Geffner

 695: Analyzing Flexible Timeline-based Plans
 Amedeo Cesta, Alberto Finzi, Simone Fratini, Andrea Orlandini, Enrico Tronci

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SESSION 4C: DESCRIPTION LOGICS & ONTOLOGIES (Room 3.2.14)

 690: A Unified Framework for Non-standard Reasoning Services in Description Logics
 Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco Donini, Azzurra Ragone

 246: Parallel TBox Classification in Description Logics - First Experimental Results
 Mina Aslani, Volker Haarslev

 216: Logical Ontology Validation Using an Automatic Theorem Prover
 Tim vor der Bruck, Holger Stenzhorn

 456: Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning
 Celine Hudelot, Jamal Atif, Isabelle Bloch

 543: Computing Data Semantics of WSDL Specifications via Gradient Boosting
 Alexandros Valarakos, George Vouros

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SESSION 4D: NATURAL LANGUAGE PROCESSING & INFORMATION RETRIEVAL (Room 6.2.56)

 614: Opinion Question Answering: Towards a Unified Approach
 Alexandra Balahur, Ester Boldrini, Andres Montoyo, Patricio Martinez-Barco

 682: From Bursty Patterns to Bursty Facts: The effectiveness of temporal text mining for news
 Ilija Subasic, Berendt Bettina

 761: Extraction of Places Related to Flickr Tags
 Yukino Baba, Fuyuki Ishikawa, Shinichi Honiden

 153: Automatic free-text-tagging of online news archives
 Richard Farkas, Berend Gabor, Istvan Hegedus, Andras Karpati, Balazs Krich

 680: Learning Aggregation Functions for Expert Search
 Cummins Ronan, Mounia Lalmas, Colm O'Riordan

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SESSION 4E: LOGICAL FOUNDATIONS OF MAS (3.2.16)

 112: Parallel Model Checking for Epistemic Logics
 Marta Kwiatkowska, Alessio Lomuscio, Hongyang Qu

 279: The Complexity of Epistemic Model Checking: Clock Semantics and Branching Time
 Huang Xiaowei, Ron van der Meyden

 494: Higher-Order Coalition Logic
 Valerio Genovese, Guido Boella, Dov Gabbay, Leendert van der Torre

 804: Mental State Ascription Using Dynamic Logic
 Michal Sindlar, Mehdi Dastani, John-Jules Meyer

 310: Is it Possible to Model Check Resource-Bounded Agents? Part I: (Un)decidablity
 Nils Bulling, Berndt Farwer

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SESSION 4F: AUCTIONS & TRADING SYSTEMS (Room 6.2.53)

 188: An Equilibrium Analysis of Competing Double Auction Marketplaces using Fictitious Play
 Bing Shi, Enrico Gerding, Perukrishnen Vytelingum, Nicholas R. Jennings

 557: Addressing the Exposure Problem of Bidding Agents Using Flexibly Priced Options
 Valentin Robu, Ioannis  Vetsikas , Enrico Gerding, Nicholas R. Jennings

 136: Designing a Successful Adaptive Agent for TAC Ad Auction
 Meng Chang, Minghua He, Xudong Luo

 604: EA^2: The Winning Strategy for the Inaugural Lemonade Stand Game Tournament
 Adam M. Sykulski, Archie Chapman, Enrique Munoz de Cote, Nicholas R. Jennings

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SESSION 5A: TRUST & RECOMMENDATION (Room 3.2.14)

 336: Propagation of Opinions in Structural Graphs
 Nardine Osman, Carles Sierra, Jordi Sabater-Mir

 20: Social Recommendation with Interpersonal Influence
 Junming Huang, Jiafeng Guo, Huawei Shen, Kun Yang, Xueqi Cheng

 728: Recommendations Over Domain Specific User Graphs
 Makoto Nakatsuji, Yasuhiro Fujiwara, Akimichi Tanaka, Tadasu Uchiyama, Toru Ishida

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SESSION 5B: BELIEF REVISION, UPDATE, AND MERGING (Room 6.1.36)

 65: Foundations of Tree-like Local Model Updates
 Yan Zhang, Michael Kelly, Yi  Zhou

 480: The epistemic view of belief merging: can we track the truth?
 Patricia Everaere, Sebastien Konieczny, Pierre Marquis

 617: Majority Merging: from Boolean Spaces to Affine Spaces
 Jean-Francois Condotta, Souhila Kaci, Pierre Marquis, Nicolas Schwind

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SESSION 5C: BELIEF-DESIRE-INTENTION ARCHITECTURES (Room 6.2.53)

 459: Semantics for the Jason Variant of AgentSpeak (Plan Failure and some Internal Actions)
 Rafael Bordini, Jomi Hubner

 641: Belief-Goal Relationships in Possibilistic Goal Generation
 Celia da Costa Pereira, Andrea Tettamanzi

 293: Predicting Responsiveness of BDI Agent
 Huiliang Zhang

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SESSION 5D: APPLICATIONS (Room 6.2.56)

 125: Automating Layouts of Sewers in Subdivisions
 Robert Holte, Neil Burch, Jonathan Schaeffer

 274: Adaptive Gaussian Process for Short-Term Wind Speed Forecasting
 Xiaoqian Jiang, Bing Dong, Le Xie, Latanya Sweeney

 643: Introducing Personality into Team Dynamics
 Rui Prada, Joao Camilo, Maria Augusta S. N. Nunes

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SESSION 5E: PROCESSES AND STOCHASTIC MODELS (Room 3.2.13)

 768: EP for Efficient Stochastic Control with Obstacles
 Thomas Mensink, Jakob Verbeek, Bert Kappen

 544: Constraint-based Controller Synthesis in Non-Deterministic and Partially Observable Domains
 Cedric Pralet, Gerard Verfaillie, Michel Lemaitre, Guillaume Infantes

 68: Decision-theoretic Optimal Sampling with Hidden Markov Random Fields
 Regis Sabbadin, Nathalie peyrard

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SESSION 6A: LOGICAL FOUNDATIONS OF KR (Room 6.2.53)

 579: Metric propositional Neighborhood Logics: Expressiveness, Decidability, and Undecidability
 Davide Bresolin, Dario Della Monica, Valentin Goranko, Angelo Montanari, Guido Sciavicco

 30: An Axiom System for a Spatial Logic with Convexity
 Adam Trybus

 453: Optimal Tableaux for Conditional Logics with Cautious Monotonicity
 Lutz Schroder, Dirk Pattinson, Daniel Hausmann

 715: Linear Logic for Non-Linear Storytelling
 Anne-Gwenn Bosser, Marc Cavazza, Ronan Champagnat

 486: ProbLog Technology for Inference in a Probabilistic First Order Logic
 Maurice Bruynooghe, Luc De Raedt, Gerda Janssens, Angelika Kimmig, Theofrastos Mantadelis, Joost Vennekens

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SESSION 6B: SEARCH & HEURISTICS (Room 6.1.36)

 97:  A note on the complexity of some multiobjective A* search algorithms
 Lawrence Mandow, Jose_Luis Perez-de-la-Cruz

 732: Contract Search : Heuristic Search under Node Expansion Constraints
 Sandip Aine

 561: Fast Local Search for Fuzzy Job Shop Scheduling
 Jorge Puente, Camino R Vela, Ines Gonzalez Rodriguez

 619: Stronger Abstractions for the Pancake Problem
 Malte Helmert, Gabriele Roger

 124: ISAC -- Instance-Specific Algorithm Configuration
 Serdar Kadioglu, Yuri Malitsky, Meinolf Sellmann, Kevin Tierney

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SESSION 6C: NATURAL LANGUAGE PROCESSING (Room 6.2.56)

 435: Using background knowledge to support coreference resolution
 Volha Bryl, Claudio Giuliano, Luciano Serafini, Kateryna Tymoshenko

 268: Detecting Ironic Intent in Creative Comparisons
 Tony Veale, Yanfen Hao

 328: Cross-Domain Contextualisation of Sentiment Lexicons
 Stefan Gindl, Albert Weichselbraun, Arno Scharl

 278: Learning to Author Text with textual CBR
 Ibrahim Adeyanju, Nirmalie Wiratunga, Juan  Recio-Garcia, Robert Lothian

 380: Classifier Ensemble using Multiobjective Optimization for Named Entity Recognition
 Asif Ekbal, Sriparna Saha

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SESSION 6D: MACHINE LEARNING & DATA MINING (Room 3.2.13)

 91: Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS)
 Chi-Cheong Szeto, Edward Hung

 265: Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
 Qiang Lou, Zoran Obradovic

 236: Recognising Agent Behaviour During Variable Length Activities
 Rolf Baxter, David Lane

 734: Continuous Conditional Random Fields for Regression in Remote Sensing
 Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic

 111: Combining Local and Global KNN With Cotraining
 Victor Laguna, Alneu Lopes

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SESSION 6E: CLUSTERING & CLASSIFICATION (Room 3.2.16)

 811: Multi Grain Sentiment Analysis using Collective Classification
 Shivashankar S, Ravindran B

 53: Temporal Relations Learning with a Bootstrapped Cross-document Classifier
 Seyed Abolghasem Mirroshandel, Gholamreza Ghassem-Sani

 812: Describing the Result of a Classifier to the End-User: Geometric-based Sensitivity
 Isabelle Alvarez, Sophie Martin, Salma Mesmoudi

 215: Soft Nearest Convex Hull Classifier
 Georgi Nalbantov, Evgueni Smirnov

 249: Using Domain Knowledge to Guide Lattice-based Complex Data Exploration
 Nizar Messai, Marie-Dominique Devignes, Amedeo Napoli, Malika Smail-Tabbone

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SESSION 6F: CONSTRAINTS (Room 3.2.14)

 92: Adaptive Branching for Constraint Satisfaction Problems
 Thanasis Balafoutis, Kostas Stergiou

 162: Symmetries of Symmetry Breaking Constraints
 George Katsirelos, Toby Walsh

 481: Solving Pseudo-Boolean Modular Constraints
 Carlos Ansotegui, Ramon Bejar, Cesar Fernandez, Francesc Guitart, Carles Mateu

 470: Learning When to Use Lazy Learning in Constraint Solving
 Ian Gent, Chris Jefferson, Lars Kotthoff, Ian Miguel, Neil Moore, Peter Nightingale, Karen Petrie

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SESSION 7A: ACTION, TIME, AND CHANGE (Room 3.2.14)

 298: LTL Goal Specifications Revisited
 Patrik Haslum, Andreas Bauer

 202: On the Verification of Very Expressive Temporal Properties of Non-terminating Golog Programs
 Jens Classen, Gerhard Lakemeyer

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SESSION 7B: FOUNDATIONS OF LOGICAL REASONING (Room 6.2.56)

 555: The Complexity of Handling Minimal Solutions in Logic-Based Abduction
 Reinhard Pichler, Stefan Woltran

 423: Abduction of distributed theories through local interactions
 Gauvain Bourgne, Nicolas Maudet, Katsumi Inoue

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SESSION 7C: NEURAL NETS (Room 3.2.13)

 800: A NEAT Way for Evolving Echo State Networks
 Kyriakos Chatzidimitriou, Pericles Mitkas

 632: Unsupervised Layer-wise Model Selection in Deep Neural Networks
 Ludovic Arnold, Helene Paugam-Moisy, Michele Sebag

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SESSION 7D: ORIGINS OF LANGUAGE (Room 3.2.16)

 822: Acquisition of Grammar in Autonomous Artificial Systems
 Kateryna Gerasymova, Michael Spranger

 789: Open-ended Grounded Semantics
 Michael Spranger, Martin Loetzsch, Simon Pauw

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SESSION 7E: UNCERTAINTY IN AI (Room 6.2.53)

 359: Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
 Dominik Jain, Andreas Barthels, Michael Beetz

 541: Min-based causal possibilistic networks : Handling interventions and analyzing the possibilistic co
 Karim Tabia, Salem Benferhat

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SESSION 7F: LOGIC PROGRAMMING & ANSWER SET PROGRAMMING (Room 6.1.36)

 440: On Testing Answer-Set Programs
 Tomi Janhunen, Ilkka Niemela, Johannes Oetsch, Joerg Puehrer, Hans Tompits

 362: On Semantic Update Operators for Answer-Set Programs
 Martin Slota, Joao Leite

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