Michael > Intelligence

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3Sanity Checks for Saliency Maps
J. Adebayo, J. Gilmer, M. Muelly, I. Goodfellow, M. Hardt, and B. Kim. Advances in Neural Information Processing Systems, 31, Curran Associates, Inc., (2018)
2 months ago by @jaeschke
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image
artificial
ai
map
explainable
xai
intelligence
saliency
imageartificialaimapexplainablexaiintelligencesaliency
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1Using AI to Support Education for Collective Intelligence
I. Casebourne, S. Shi, M. Hogan, W. Holmes, T. Hoel, R. Wegerif, and L. Yuan. International Journal of Artificial Intelligence in Education, (Dec 23, 2024)
11 months ago by @yish
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epistemic
artificial
hybrid
AI
collective
education
networks
intelligence
epistemicartificialhybridAIcollectiveeducationnetworksintelligence
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1Artificial Intelligence for Audiences
A. Liapis, M. Awiszus, A. Champandard, M. Cook, A. Denisova, A. Dockhorn, T. Thompson, and J. Zhu. Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 50-54 (January 2023)
2 years ago by @tntl3s
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myown
leibnizailab
Artificial
Intelligence
Audiences
for
myownleibnizailabArtificialIntelligenceAudiencesfor
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1The Role of African Traditional Medical Practices in Adolescent Cognitive Skills Development in Oku Sub Division, North West Region of Cameroon
K. Yula. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (5): 1046-1062 (July 2022)
3 years ago by @ijtsrd
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development
making
decision
solving
social
critical
diagnosis
treatment
intelligence
youth
competence
African,
thinking
problem
Medicine
cognitive
Traditional
spiritual
herb
developmentmakingdecisionsolvingsocialcriticaldiagnosistreatmentintelligenceyouthcompetenceAfrican,thinkingproblemMedicinecognitiveTraditionalspiritualherb
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2On Bridging Data Centers and Publishers: The Data-Literature Interlinking Service
A. Burton, H. Koers, P. Manghi, S. Bruzzo, A. Aryani, M. Diepenbroek, and U. Schindler. Metadata and Semantics Research, 544, Springer International Publishing, DOI: 10.1007/978-3-319-24129-6\_28.(September 2015)
7 years ago by @joschirr
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Artificial
Applications
Intelligence
Systems
Management,
(incl.
Text
Information
Internet)
Document
Robotics),
Retrieval,
Storage
Preparation
and
Database
Processing,
ArtificialApplicationsIntelligenceSystemsManagement,(incl.TextInformationInternet)DocumentRobotics),Retrieval,StoragePreparationandDatabaseProcessing,
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1Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning
L. Gilpin, D. Bau, B. Yuan, A. Bajwa, M. Specter, and L. Kagal. (2018)cite arxiv:1806.00069Comment: Edited author email.
7 years ago by @tomnitc
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artificial
intelligence
artificialintelligence
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1ARTIFICIAL INTELLIGENCE: WHAT WILL AMERICA LOOK LIKE POLITICALLY AFTER THE 2020 CENSUS?
S. Carroll. Journal of Political Science (JPS), Volume 1 (Number 1): 10 (July 2018)
7 years ago by @jps1
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Artificial
Intelligence
Media
ArtificialIntelligenceMedia
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1School-age outcomes of very low birth weight infants in the indomethacin intraventricular hemorrhage prevention trial.
B. Vohr, W. Allan, M. Westerveld, K. Schneider, K. Katz, R. Makuch, and L. Ment. Pediatrics, 111 (4 Pt 1): e340--e346 (April 2003)
12 years ago by @ar0berts
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Humans;
Ventricles;
Hemorrhage;
Assessment;
Cerebral
Regression
Weight;
Analysis
Low
Palsy;
Leukomalacia,
Loss;
Hearing
Cohort
Female;
Periventricular;
Very
Studies;
Child;
Infant,
Developmental
Intelligence
Tests;
Needs
Male;
Disabilities;
Newborn;
Birth
Infant;
Prospective
Indomethacin;
Humans;Ventricles;Hemorrhage;Assessment;CerebralRegressionWeight;AnalysisLowPalsy;Leukomalacia,Loss;HearingCohortFemale;Periventricular;VeryStudies;Child;Infant,DevelopmentalIntelligenceTests;NeedsMale;Disabilities;Newborn;BirthInfant;ProspectiveIndomethacin;
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1An evidence-based approach to predicting low IQ in very preterm infants from the neurological examination: outcome data from the indomethacin Indomethacin Intraventricular Hemorrhage Prevention Trial.
M. Pleacher, B. Vohr, K. Katz, L. Ment, and W. Allan. Pediatrics, 113 (2): 416--419 (February 2004)
12 years ago by @ar0berts
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Humans;
Neurologic
Cerebral
Premature;
Examination;
Weight;
Preschool;
Follow-Up
Retardation;
Randomized
Low
Sensitivity
Palsy;
Evidence-Based
Very
Controlled
Studies;
Mental
Child;
Infant,
Intelligence
Tests;
Newborn;
Medicine;
Functions;
Birth
Child,
Trials;
Specificity
and
Likelihood
Humans;NeurologicCerebralPremature;Examination;Weight;Preschool;Follow-UpRetardation;RandomizedLowSensitivityPalsy;Evidence-BasedVeryControlledStudies;MentalChild;Infant,IntelligenceTests;Newborn;Medicine;Functions;BirthChild,Trials;SpecificityandLikelihood
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5Pay-as-you-go user feedback for dataspace systems
S. Jeffery, M. Franklin, and A. Halevy. Proceedings of the 2008 ACM SIGMOD international conference on Management of data, page 847--860. New York, NY, USA, ACM, (2008)
13 years ago by @jaeschke
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feedback
schema
semantic
web
social
computing
collective
linking
human
intelligence
matching
entity
feedbackschemasemanticwebsocialcomputingcollectivelinkinghumanintelligencematchingentity
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3Cloud computing for citizen science
M. Olson. California Institute of Technology, Master's thesis, (2012)
14 years ago by @jaeschke
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science
cloud
sourcing
crowd
computing
collective
citizen
intelligence
sciencecloudsourcingcrowdcomputingcollectivecitizenintelligence
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5CrowdDB: answering queries with crowdsourcing
M. Franklin, D. Kossmann, T. Kraska, S. Ramesh, and R. Xin. Proceedings of the 2011 international conference on Management of data, page 61--72. New York, NY, USA, ACM, (2011)
14 years ago by @jaeschke
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crowdsourcing
database
cirg
social
computing
collective
human
computation
intelligence
crowddb
crowdsourcingdatabasecirgsocialcomputingcollectivehumancomputationintelligencecrowddb
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1Humans have evolved specialized skills of social cognition: The cultural intelligence hypothesis
E. Herrmann, J. Call, M. Hernández-Lloreda, B. Hare, and M. Tomasello. science, 317 (5843): 1360 (2007)
14 years ago by @yish
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skills
social
psychology
cognition
spatial
intelligence
skillssocialpsychologycognitionspatialintelligence
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2Emerging Issues in Current Future Internet Design
P. Tran-Gia, T. Hossfeld, M. Menth, and R. Pries. e&i Elektrotechnik und Informationstechnik, Special Issue 'Future Internet', ISSN: 0932-383X (print), ISSN: 1613-7620 (online), (August 2009)
16 years ago by @hossfeld
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next
edge-based
experimental
overlays
future
P2P
network
facilities
intelligence
generation
internet
nextedge-basedexperimentaloverlaysfutureP2Pnetworkfacilitiesintelligencegenerationinternet
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2Intelligence in wikipedia
D. Weld, F. Wu, E. Adar, S. Amershi, J. Fogarty, R. Hoffmann, K. Patel, and M. Skinner. AAAI'08: Proceedings of the 23rd national conference on Artificial intelligence, page 1609--1614. AAAI Press, (2008)
16 years ago by @lee_peck
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08
wikipedia
Weld
information
extraction
intelligence
08wikipediaWeldinformationextractionintelligence
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3A Language for Interactive Cooperative Agents
H. Skubch, M. Wagner, and R. Reichle. University of Kassel, (2009)
16 years ago by @mwagner
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Agent
myown
Artificial
Autonomous
Behaviour
Intelligence
Informatik
Cooperative
Decision
Agents
Multi
Specification
agents
Robotics
myPubl
Cooperation
Teamwork
Alica
year:2009
AgentmyownArtificialAutonomousBehaviourIntelligenceInformatikCooperativeDecisionAgentsMultiSpecificationagentsRoboticsmyPublCooperationTeamworkAlicayear:2009
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3Structural knowledge : techniques for representing, conveying, and acquiring structural knowledge
D. Jonassen, K. Beissner, and M. Yacci. LEA. Lawrence Erlbaum Associates, Hillsdale, NJ, (1993)David H. Jonassen, Katherine Beissner, Michael Yacci. Includes bibliographical references and index. $5GBV.
19 years ago by @bertolt
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(Information
Artificial
structures
representation
theory)
Conceptual
Knowledge
intelligence
(InformationArtificialstructuresrepresentationtheory)ConceptualKnowledgeintelligence
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2Story Planning as Exploratory Creativity: Techniques for Expanding the Narrative Search Space
M. Riedl, and R. Young. New Generation Computing, (2006)
19 years ago by @yish
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planning
creativity
narrative
AI
multiagent
agents
intelligence
story
planningcreativitynarrativeAImultiagentagentsintelligencestory
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1Story and discourse: A bipartite model of narrative generation in virtual worlds
R. Young. Interaction Studies, (2006)
19 years ago by @yish
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planning
worlds
virtual
narrative
AI
discourse
intelligence
story
gamesresearch
planningworldsvirtualnarrativeAIdiscourseintelligencestorygamesresearch
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2An Intent-Driven Planner for Multi-Agent Story Generation
M. Riedl, and R. Young. Proceedings of the 3rd International Conference on Autonomous Agents and Multi Agents Systems, (2004)
19 years ago by @yish
show all tags
planning
artificial
narrative
NLE
ai
multiagent
agents
intelligence
planningartificialnarrativeNLEaimultiagentagentsintelligence
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3Sanity Checks for Saliency Maps

1Using AI to Support Education for Collective Intelligence

1Artificial Intelligence for Audiences

1The Role of African Traditional Medical Practices in Adolescent Cognitive Skills Development in Oku Sub Division, North West Region of Cameroon

2On Bridging Data Centers and Publishers: The Data-Literature Interlinking Service

1Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning

1ARTIFICIAL INTELLIGENCE: WHAT WILL AMERICA LOOK LIKE POLITICALLY AFTER THE 2020 CENSUS?

1School-age outcomes of very low birth weight infants in the indomethacin intraventricular hemorrhage prevention trial.

1An evidence-based approach to predicting low IQ in very preterm infants from the neurological examination: outcome data from the indomethacin Indomethacin Intraventricular Hemorrhage Prevention Trial.

5Pay-as-you-go user feedback for dataspace systems

3Cloud computing for citizen science

5CrowdDB: answering queries with crowdsourcing

1Humans have evolved specialized skills of social cognition: The cultural intelligence hypothesis

2Emerging Issues in Current Future Internet Design

2Intelligence in wikipedia

3A Language for Interactive Cooperative Agents

3Structural knowledge : techniques for representing, conveying, and acquiring structural knowledge

2Story Planning as Exploratory Creativity: Techniques for Expanding the Narrative Search Space

1Story and discourse: A bipartite model of narrative generation in virtual worlds

2An Intent-Driven Planner for Multi-Agent Story Generation

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publications (hide)24
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