about
Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.Dynamic argumentation in UbiGDSSIncluding cognitive aspects in multiple criteria decision analysisRepresenting decision-makers using styles of behavior: An approach designed for group decision support systemsA SOA Web-Based Group Decision Support System Considering Affective AspectsDefining an Architecture for a Ubiquitous Group Decision Support SystemEvaluating the Perception of the Decision Quality in Web-Based Group Decision Support Systems: A Theory of SatisfactionGeneration of intelligent reports for ubiquitous group decision support systemsHow cognitive and affective aspects can influence the outcome of the group decision-making processHow the ability to analyse tendencies influences decision satisfactionIncluding Credibility and Expertise in Group Decision-Making Process: An Approach Designed for UbiGDSSIntelligent negotiation model for ubiquitous group decision scenariosIntroducing Dynamic Argumentation to UbiGDSSThe Effect of Decision Satisfaction Prediction in Argumentation-Based NegotiationA General Template to Configure Multi-Criteria Problems in Ubiquitous GDSSAn Approach for a Negotiation Model Inspired on Social NetworksDefining Agents’ Behaviour for Negotiation ContextsUbiGDSS: A Theoretical Model to Predict Decision-Makers SatisfactionUnderstanding Decision Quality through SatisfactionA Context Aware Architecture to Support People with Partial Visual ImpairmentsAn Emotional Aware Architecture to Support Facilitator in Group Idea Generation ProcessSimulating a Team Behaviour of Affective Agents Using RobocodeAnalysing Participants’ Performance in Idea Generation Meeting Considering Emotional Context-AwareVirtualECare: Group Decision Supported by idea Generation and ArgumentationPredicting satisfaction: Perceived decision quality by decision-makers in Web-based group decision support systemsA Framework for Group Decision-Making: Including Cognitive and Affective Aspects in a MCDA Method for Alternatives RejectionArguing with Behavior Influence: A Model for Web-Based Group Decision Support Systems
P50
Q36096875-876A298D-34E4-4B32-8512-F4268DB23447Q59237728-90FCE241-2017-4A1A-846C-A737E2400CE4Q59237730-79BFD5EC-C8AD-4E3C-924C-12F7D39CC2C2Q59237733-745D3E9B-6506-4792-96E7-46A6CC4C5153Q59237738-2E0FA68A-0858-414C-AFD4-8611F4BEB169Q59237796-3A2477FD-73F5-462C-AA4B-4D4A0A4D0786Q59237808-7B1F6BA4-49B9-47A7-95C9-EAA55C922F40Q59237810-2B1F1241-3CE8-4994-B21F-DDCD4427719CQ59237812-EAD1F14F-BB17-4A3F-B2D1-589D86325A78Q59237814-CAC7686A-1EB9-41AB-B545-57B9B68DFDB7Q59237816-79BA4306-5EB2-4A34-84F4-A215AA88A1DFQ59237888-B30C3E26-2988-4439-9FC5-E7687B46B651Q59237891-939A6F97-CB4C-4C32-8AD5-F1034F20985CQ59237921-BB7FB8EF-2047-4D06-8896-E576DC589AC0Q59237949-A3D7E3A0-7523-4D14-99CD-3E9D7E201BD2Q59237959-35283448-5D2F-45A5-9822-D99D66B82145Q59237977-64279E6C-58B1-4937-9C28-8DA9D1D8CDD3Q59238000-5B785809-0D55-4B00-A36A-3398F7FCA47FQ59238050-4954DC2F-C45A-474C-A2A3-BE2F3BC0039DQ59238055-C1B65176-2569-4186-887B-141F5F2D5F9DQ59238065-E1982EAC-66CC-47C6-98A5-164C5E77CA46Q59238092-7A9A8757-362A-4973-8352-2189AEB42F5FQ59238113-2646CD3F-F3EB-422A-93C0-855C1FB85AD0Q59238234-03428DB1-4052-4096-8316-2ABAE1F71512Q62042796-D9748105-17C1-4958-BB2D-E02AF2903B2BQ62042800-30FF5043-6384-4730-A046-469294B1D8CEQ62042825-37704DEA-CA5B-4595-8AF3-4886EC18361F
P50
description
onderzoeker
@nl
researcher ORCID ID = 0000-0003-4417-8401
@en
name
Goreti Marreiros
@ast
Goreti Marreiros
@en
Goreti Marreiros
@es
Goreti Marreiros
@nl
type
label
Goreti Marreiros
@ast
Goreti Marreiros
@en
Goreti Marreiros
@es
Goreti Marreiros
@nl
prefLabel
Goreti Marreiros
@ast
Goreti Marreiros
@en
Goreti Marreiros
@es
Goreti Marreiros
@nl
P1053
M-4583-2013
P106
P1153
9332465700
P2456
P31
P496
0000-0003-4417-8401