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Dagmar Monett Díaz
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- affiliation: Berlin School of Economics and Law, Department of Cooperative Studies, Germany
- affiliation: Humboldt University of Berlin, Department of Computer Science, Germany
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2020 – today
- 2024
- [c13]Laura Haase, Brita Sedlmayr, Ian-C. Jung, Martin Sedlmayr, Dagmar Monett, Julia Winter:
Designing an mHealth Application to Support Horse Owners in Assessing Their Horse's Health Status - Results of a Usability Test. GMDS 2024: 335-345 - 2020
- [j3]Dagmar Monett, Colin W. P. Lewis, Kristinn R. Thórisson, Joscha Bach, Gianluca Baldassarre, Giovanni Granato, Istvan S. N. Berkeley, François Chollet, Matthew Crosby, Henry Shevlin, John F. Sowa, John E. Laird, Shane Legg, Peter Lindes, Tomás Mikolov, William J. Rapaport, Raúl Rojas, Marek Rosa, Peter Stone, Richard S. Sutton, Roman V. Yampolskiy, Pei Wang, Roger C. Schank, Aaron Sloman, Alan F. T. Winfield:
Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response. J. Artif. Gen. Intell. 11(2): 1-100 (2020) - [c12]Dagmar Monett, Niklas Lampe, Max Ehrlicher-Schmidt, Nikolaj Bewer:
Intelligence Catalog-guided Tracking of the Evolution of (machine) Intelligence: Preliminary results. NL4AI@AI*IA 2020: 118-129
2010 – 2019
- 2019
- [c11]Dagmar Monett, Christian Winkler:
Using AI to Understand Intelligence: The Search for a Catalog of Intelligence Capabilities. NL4AI@AI*IA 2019 - [c10]Dagmar Monett, Luisa Hoge, Colin W. P. Lewis:
Cognitive Biases Undermine Consensus on Definitions of Intelligence and Limit Understanding. LaCATODA/BtG@IJCAI 2019: 52-59 - 2017
- [c9]Dagmar Monett, Colin W. P. Lewis:
Getting Clarity by Defining Artificial Intelligence - A Survey. PT-AI 2017: 212-214 - 2016
- [c8]Mohammed Almashraee, Dagmar Monett Díaz, Adrian Paschke:
Emotion Level Sentiment Analysis: The Affective Opinion Evaluation. EMSA-RMed@ESWC 2016 - [c7]Dagmar Monett, Hermann Stolte:
Predicting Star Ratings based on Annotated Reviews of Mobile Apps. FedCSIS 2016: 421-428 - [c6]Dagmar Monett, Jesús Emeterio Navarro-Barrientos:
Simulating the Fractional Reserve Banking using Agent-based Modelling with NetLogo. FedCSIS 2016: 1467-1470 - 2014
- [c5]Mohammed Almashraee, Kia Teymourian, Dagmar Monett Díaz, Adrian Paschke:
Usage of Abstract Features in Semantic Sentiment Analysis. SSA-SMILE@ESWC 2014: 13-16 - [c4]Lars Wißler, Mohammed Almashraee, Dagmar Monett Díaz, Adrian Paschke:
The Gold Standard in Corpus Annotation. IEEE GSC 2014 - 2012
- [c3]Mohammed Almashraee, Dagmar Monett Díaz, Rainer Unland:
Sentiment Classification of on-line Products Based on Machine Learning Techniques and Multi-agent Systems Technologies. ICDM (Workshops) 2012: 128-136 - 2011
- [j2]René Lamour, Dagmar Monett Díaz:
A new algorithm for index determination in DAEs using algorithmic differentiation. Numer. Algorithms 58(2): 261-292 (2011)
2000 – 2009
- 2005
- [b1]Dagmar Monett Díaz:
Agent based configuration of (metaheuristic) algorithms. Humboldt University of Berlin, 2005, ISBN 3-8322-4010-1, pp. 1-233 - 2004
- [j1]Dagmar Monett, Hans-Dieter Burkhard:
Problemas Inversos, Técnicas Evolutivas y Agentes Inteligentes: Estrechando las Fronteras. Rev. Avances en Sistemas Informática 1(1): 29-34 (2004) - [c2]Dagmar Monett Díaz:
+CARPS: Configuration of Metaheuristics based on JADE Agents. Hybrid Metaheuristics 2004: 115-126 - 2003
- [c1]Diemo Urbig, Dagmar Monett Díaz, Kay Schröter:
The C-IPS Agent Architecture for Modeling Negotiating Social Agents. MATES 2003: 217-228
Coauthor Index
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