List of papers for presentation

CS785 Intelligent Computer Interfaces

Fall 2012

List of papers for presentation: second half of the course

Multiagent Systems Part I
1. D. Corkill et al.; Organizationally Adept Agents;
  Proceedings of COINS workshop at AAMAS 2011
  ftp://mas.cs.umass.edu/pub/coinsws_aamas11.pdf
2. J. Sleight and E. Durfee; Selectively Injecting Organizational Influences into
  Decision-Making Agents;
  Proceedings of COIN workshop at AAMAS 2012
  http://ict1.tbm.tudelft.nl/coin2012/papers/20120181.pdf
3. Y. Hu et al.; nMetaQ: An n-agent reinforcement learning algorithm based
  on meta equilibrium;
  Proceedings of ALA workshop at AAMAS 2012
  http://como.vub.ac.be/ALA2012/
4. S. Proper and K. Tumer; Coordination graphs in continuous domains for multiagent reinforcement
  learning;
  Proceedings of ALA workshop at AAMAS 2012
  http://como.vub.ac.be/ALA2012/
5. C. Holmes Parker and K. Tumer; Combining difference rewards and hierarchies for scaling in
  large multiagent teams;
  Proceedings of ALA workshop at AAMAS 2012
  http://como.vub.ac.be/ALA2012/
6. M. Elidrisi et al.; Fast learning against adaptive adversarial opponents;
  Proceedings of ALA workshop at AAMAS 2012
  http://como.vub.ac.be/ALA2012/
7. O. Georgeon and I. Sakellariou; Designing environment-agnostic agents;
  Procedings of ALA workhsop at AAMAS 2012
  http://como.vub.ac.be/ALA2012/
8. J. Vokrinek et al.; Agents towards vehicle routing problems;
  Proceedings of AAMAS 2012
  http://www.ifaamas.org/Proceedings/aamas2010/pdf/01%20Full%20Papers/16_03_FP_0805.pdf
9. Y. Wang et al.; Effective web service selection via communities
  formed by super-agents;
  Proceedings of IEEE WI 2010
  http://homepage.usask.ca/~yaw181/Publications/community.pdf
10. W. Teacy et al.; Decentralized Bayesian reinforcement learning for online agent collaboration;
  Proceedings of AAMAS 2012
  http://users.ecs.soton.ac.uk/nrj/publications.php
11. W. Teacy et al.; A Hierarchical Bayesian Trust Model based on Reputation and Group Behaviour;
  Proceedings of 6th European Workshp on Multiagent Systems;
  http://eprints.soton.ac.uk/266836/
  http://eprints.soton.ac.uk/266836/1/habit.pdf
Multiagent Systems Part II (auctions and e-commerce)
1. J. Tang et al; Hybrid transitive trust mechanism;
  Proceedings of AAMAS 2010
  http://rll.berkeley.edu/~jietang/pubs/aamas10_Tang.pdf
2. W. Walsh et al.; Automated channel abstraction for advertising auctions;
  Proceedings of AAAI 2010
  http://www.cs.toronto.edu/~cebly/Papers/channelAbstraction-WBSSNP-aaai10.pdf
3. Y. Chen et al; Truth, justice and cake cutting;
  Proceedings of AAAI 2010
  http://people.seas.harvard.edu/~jklai/pubs/justruth-geb.pdf
4. D. Parkes and S. Singh; An MDP-approach to online mechanism design;
  Proceedings of NIPS 2003
  www.eecs.harvard.edu/econcs/bib/author.html#Parkes_2c_20David_20C
5. M. Hoogendoorn and M. Gini; Automated analysis of auction traces;
  Agent-Mediated Electronic Commerce: Designing Trading Strategies
  and Mechanisms for Electronic Markets
  http://magnet.cs.umn.edu/papers/Hoogen09amecbook.pdf
6. J. Halpern, R. Pass and L. Seeman; I'm Doing as Well as I Can: Modeling People as Rational Finite Automata;
  Proceedings of AAAI 2012
  http://www.cs.cornell.edu/~lseeman
7. S. Seuken and D. Parkes; Peer Prediction with Private Beliefs;
  Proceedings of Workshop on Social Computing and User Generated Content 2011;
  www.eecs.harvard.edu/econcs/bib/author.html#Parkes_2c_20David_20C
8. H. Zhang and D. Parkes; Value-based Policy Teaching with Active Indirect Elicitation;
  Proceedings of AAAI 2008
  www.eecs.harvard.edu/~hq
Data Mining
1. Y. Low et al; Multiple domain user personalization;
  Proceedings of KDD 2011??
  http://www.cs.cmu.edu/~ylow/integration.pdf
2. S. Chaki et al.; Supervised learning for provenance-similarity of binaries;
  Proceedings of KDD 2011
  http://users.cis.fiu.edu/~lzhen001/activities/KDD2011Program/docs/p15.pdf
3. R. Balakrishnan and S. Kambhampati; SourceRank: relevance and trust assessment for deep web sources based
  on inter-source agreement;
  Proceedings of WWW 2011
  www.www2011india.com/proceeding/forms/pcontents.htm
4. B. Wallace et al.; Who should label what? Instance allocation in multiple expert
  active learning;
  Proceedings of SIAM International Conference on Data Mining 2011
  http://siam.omnibooksonline.com/2011datamining/data/papers/099.pdf
5. M. Sensoy et al.; Discovering frequent patterns to bootstrap trust;
  Proceedings of ADMI 2012
  www.abdn.ac.uk/~csc210/pdfs/Sensoy++ADMI2012.pdf
6. D. Agarwal et al.; Localized factor models for multi-context recommendation;
  Proceedings of KDD 2011
  http://users.cis.fiu.edu/~lzhen001/activities/KDD2011Program/forms/authors2.htm
Intelligent Information Retrieval
1. D. Dligach et al.; To annotate more accurately or to annotate more;
  Proceedings of ACL 2010 Linguistic Annotation Workshop;
  http://verbs.colorado.edu/~mpalmer/publications.html
2. J. Dodge et al.; Detecting visual text;
  Proceedings of NAACL 2012
  http://tamaraberg.com/papers/desctext.pdf
3. R. Passoneau et al.; Learning about voice search for spoken dialogue systems;
  Proceedings of NAACL 2010
  http://www1.ccls.columbia.edu/~beck/pubs/naaclhlt2010_252_Paper.pdf
4. J. Xu et al.; Learning from bullying traces in social media;
  Procedings of NAACL 2012
  http://pages.cs.wisc.edu/~jerryzhu/pub/naaclhlt2012.pdf
5. S. Green et al.; Entity clustering across languages;
  Proceedings of NAACL 2012
  www.cs.jhu.edu/~mrg/publications/entity-naacl-12.pdf
6. R. Mason and E. Charniak; Apples to Oranges: Evaluating image annoations from natural
  language processing systems;
  Proceedings of NAACL 2012
  www.cs.brown.edu/people/rebecca/rmason_naacl2012.pdf
7. Y. Shen et al.; Sparse hidden-dynamics conditional random fields for user
  intent understanding;
  Proceedings of WWW 2011
  www.www2011india.com/proceeding/forms/pcontents.htm
8. E. Law and H. Zhang; Towards Large Scale Collaborative Planning: Answering High Level Queries Using Human Computation;
  Proceedings of AAAI 2011
  www.eecs.harvard.edu/~hq
9. B. Wallace; Multiple narrative disentanglement: unraveling Infinite Jest;
  Proceedings of NAACL 2012
  http://aclweb.org/anthology-new/N/N12/N12-1001.pdf
Case-Based Reasoning and Knowledge Bases
1. W. Pentney et al.; Sensor-based understanding of daily life via large-scale use of common sense;
  Proceedings of AAAI06
  www.cs.washington.edu/homes/matthai/pubs/aaai06.pdf
2. D. McSherry and C. Stretch; Learning more from experience in case-based reasoning;
  Proceedings of ICCBR 2011
  http://dl.acm.org/citation.cfm?id=2186090
3. R. Bergmann and Y. Gil; Retrieval of semantic workflows with knowledge intensive similarity measures;
  Proceedings of ICCBR 2011
  www.isi.edu/~gil/papers/bergmann-gil-iccbr11.pdf
4. B. Freudenthaler; CBRSHM - A case based decision support system for semi-automated
  assessment of structures in terms of structural health monitoring;
  Procedings of ICCBR 2011
  http://www.springerlink.com/content/h55t78314pm37374/fulltext.pdf
5. S. Hajarnis; A case based planning approach for dialogue generation in digital movie
  design;
  Proceedings of ICCBR 2011 (a bit skimpy but ok)
  www.cc.gatech.edu/~riedl/pubs/iccbr11.pdf
6. E. Hullermeier and P. Schlegel; Preference-based CBR: First steps towards a methodological framework;
  Proceedings of ICCBR 2011
  www.mathematik.uni-marburg.de/~eyke/publications/iccbr11.pdf
7. B. Cuenca Grau et al.; Ontology evolution under semantic constraints
  Proceedings of KR 2012
  http://www.inf.unibz.it/~kharlamov/files/papers/2012/kr/grau2012ontology.pdf
Intelligent Tutoring
1. M. Wixon et al.; WTF? Detecting Students who are Conducting Inquiry without
  thinking fastidiously;
  Proceedings of UMAP 2012
  http://users.wpi.edu/~rsbaker/UMAP-WTF-2012-v18R-spacingfixed.pdf
2. R. Martinez et al.; Analysing frequent sequential patterns of collaborative learning
  activity around an interactive tabletop;
  Proceedings of EDM 2011
  www.informatik.uni-trier.de/~ley/db/conf/edm/edm2011.html#MaldonadoYKKA11
  educationaldatamining.org/EDM2011/proceedings.2#full
3. N. Li et al.; A machine learning approach for automatic student model discovery;
  Proceedings of EDM 2011
  http://educationaldatamining.org/EDM2011/proceedings.2#full
4. D. Rai et al.; Using Dirichlet priors to improve model parameter plausibility;
  Proceedings of EDM 2009
  http://users.wpi.edu/~dovan/research.html
5. K. Muldner et al.; An analysis of gaming behaviors in an intelligent tutoring system;
  Proceedings of ITS 2010
  www.public.asu.edu/~kvanlehn/VanLehnVita.htm
6. S. Schiaffino et al.; eTeacher: providing personalized assistance to e-learning students;
  Computers and Education 51 (2008) 1744-1754
  http://sclab.yonsei.ac.kr/courses/09-AI/Papers/BN-eTeacher.pdf

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