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Jasper van der Waa
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2020 – today
- 2024
- [j4]Bernd Dudzik, Jasper van der Waa, Pei-Yu Chen, Roel Dobbe, Inago M. D. R. de Troya, Roos M. Bakker, Maaike H. T. de Boer, Quirine T. S. Smit, Davide Dell'Anna, Emre Erdogan, Pinar Yolum, Shihan Wang, Selene Baez Santamaría, Lea Krause, Bart A. Kamphorst:
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. J. Artif. Intell. Res. 80: 919-929 (2024) - [c11]Sjoerd Berning
, Vincent Dunning
, Dayana Spagnuelo
, Thijs Veugen
, Jasper van der Waa
:
The Trade-off Between Privacy & Quality for Counterfactual Explanations. ARES 2024: 179:1-179:9 - [c10]Nico de Reus
, Maarten P. D. Schadd
, Thomas M. Maaiveld
, Damian Domela Nieuwenhuis Nyegaard
, Artiom A. van den Broek
, Jasper van der Waa
, Athanasios Trantas
:
Generating Explainable Military Courses of Action. ICMCIS 2024: 1-10 - 2022
- [c9]Maaike H. T. de Boer, Steven Vethman, Roos M. Bakker, Ajaya Adhikari, Michiel Marcus, Joachim de Greeff, Jasper van der Waa, Tjeerd A. J. Schoonderwoerd, Ioannis Tolios, Emma M. van Zoelen, Fieke Hillerström, Bart Kamphorst:
The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case. AAAI Spring Symposium: MAKE 2022 - [c8]Ajaya Adhikari, Edwin Wenink
, Jasper van der Waa, Cornelis Bouter, Ioannis Tolios, Stephan Raaijmakers:
Towards FAIR Explainable AI: a standardized ontology for mapping XAI solutions to use cases, explanations, and AI systems. PETRA 2022: 562-568 - 2021
- [j3]Jasper van der Waa
, Elisabeth Nieuwburg
, Anita H. M. Cremers
, Mark A. Neerincx:
Evaluating XAI: A comparison of rule-based and example-based explanations. Artif. Intell. 291: 103404 (2021) - [j2]Jasper van der Waa, Sabine Verdult, Karel van den Bosch, Jurriaan van Diggelen, Tjalling Haije, Birgit van der Stigchel, Ioana Cocu:
Moral Decision Making in Human-Agent Teams: Human Control and the Role of Explanations. Frontiers Robotics AI 8: 640647 (2021) - 2020
- [j1]Jasper van der Waa
, Tjeerd Schoonderwoerd, Jurriaan van Diggelen, Mark A. Neerincx
:
Interpretable confidence measures for decision support systems. Int. J. Hum. Comput. Stud. 144: 102493 (2020) - [c7]Jasper van der Waa
, Jurriaan van Diggelen, Luciano Cavalcante Siebert
, Mark A. Neerincx, Catholijn M. Jonker:
Allocation of Moral Decision-Making in Human-Agent Teams: A Pattern Approach. HCI (7) 2020: 203-220
2010 – 2019
- 2019
- [i3]Jurriaan van Diggelen, Jonathan Barnhoorn, Marieke M. M. Peeters
, Wessel van Staal, M. L. van Stolk, Bob van der Vecht, Jasper van der Waa, Jan Maarten Schraagen:
Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming. CoRR abs/1909.04492 (2019) - 2018
- [c6]Mark A. Neerincx, Jasper van der Waa, Frank Kaptein, Jurriaan van Diggelen:
Using Perceptual and Cognitive Explanations for Enhanced Human-Agent Team Performance. HCI (6) 2018: 204-214 - [c5]Jasper van der Waa, Jurriaan van Diggelen, Mark A. Neerincx, Stephan Raaijmakers:
ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning. ICAART (2) 2018: 314-321 - [c4]Jasper van der Waa, Jurriaan van Diggelen, Mark A. Neerincx:
The Design and Validation of an Intuitive Confidence Measure. IUI Workshops 2018 - [c3]Bob van der Vecht, Jurriaan van Diggelen, Marieke Peeters
, Jonathan Barnhoorn, Jasper van der Waa:
SAIL: A Social Artificial Intelligence Layer for Human-Machine Teaming. PAAMS 2018: 262-274 - [c2]Bob van der Vecht, Jurriaan van Diggelen, Marieke Peeters
, Wessel van Staal, Jasper van der Waa:
The SAIL Framework for Implementing Human-Machine Teaming Concepts. PAAMS 2018: 361-365 - [i2]Jasper van der Waa, Marcel Robeer
, Jurriaan van Diggelen, Matthieu J. S. Brinkhuis
, Mark A. Neerincx:
Contrastive Explanations with Local Foil Trees. CoRR abs/1806.07470 (2018) - [i1]Jasper van der Waa, Jurriaan van Diggelen, Karel van den Bosch, Mark A. Neerincx:
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences. CoRR abs/1807.08706 (2018) - 2017
- [c1]Anne-Marie Brouwer
, Jasper S. van der Waa, Maarten A. Hogervorst, Alessia Cacace, Hans Stokking:
A Feasible BCI in Real Life: Using Predicted Head Rotation to Improve HMD Imaging. BCIforReal@IUI 2017: 35-38
Coauthor Index
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last updated on 2024-08-03 21:10 CEST by the dblp team
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