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Maaike de Boer
Person information
- affiliation: TNO, The Hague, The Netherlands
- affiliation: University of Nijmegen, The Netherlands
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2020 – today
- 2024
- [j9]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) - [c27]Lucas L. Snijder, Quirine T. S. Smit, Maaike H. T. de Boer:
Advancing Ontology Alignment in the Labor Market: Combining Large Language Models with Domain Knowledge. AAAI Spring Symposia 2024: 253-262 - [c26]Maaike H. T. de Boer, Quirine T. S. Smit, Michael van Bekkum, André Meyer-Vitali, Thomas Schmid:
Modular Design Patterns for Generative Neuro-Symbolic Systems. ESWC Workshops 2024 - [c25]Chenxu Hao, Myrthe Tielman, Jasper van der Waa, Maaike de Boer, Mark A. Neerincx:
Hybrid Intelligence for Healthcare (Preface). HHAI Workshops 2024: 55-58 - [c24]Pei-Yu Chen, Selene Baez Santamaría, Maaike H. T. de Boer, Floris den Hengst, Bart A. Kamphorst, Quirine T. S. Smit, Shihan Wang, Johanna Wolff:
Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning. HHAI 2024: 457-459 - [i6]Henri Bouma, Bart Joosten, Maarten C. Kruithof, Maaike H. T. de Boer, Alexandru Ginsca, Benjamin Labbé, Quoc T. Vuong:
Flexible image analysis for law enforcement agencies with deep neural networks to determine: where, who and what. CoRR abs/2405.09194 (2024) - 2023
- [c23]Maaike H. T. de Boer, Roos M. Bakker, Maaike Burghoorn:
Creating Dynamically Evolving Ontologies: A Use Case from the Labour Market Domain. AAAI Spring Symposium: MAKE 2023 - [c22]Maaike H. T. de Boer, Linda Oosterheert, Roos M. Bakker:
Dynamic Ontology Matching Challenge. AAAI Spring Symposium: MAKE 2023 - [c21]Emma M. van Zoelen, Tina Mioch, Mani Tajaddini, Christian Fleiner, Stefani Tsaneva, Pietro Camin, Thiago S. Gouvêa, Kim Baraka, Maaike H. T. de Boer, Mark A. Neerincx:
Developing Team Design Patterns for Hybrid Intelligence Systems. HHAI 2023: 3-16 - [c20]Romy A. N. van Drie, Maaike H. T. de Boer, Roos M. Bakker, Ioannis Tolios, Daan Vos:
The Dutch Law as a Semantic Role Labeling Dataset. ICAIL 2023: 316-322 - 2022
- [c19]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 - [c18]Roos M. Bakker, Maaike H. T. de Boer, Romy A. N. van Drie, Daan Vos:
Extracting Structured Knowledge from Dutch Legal Texts: A Rule-based Approach. EKAW (Companion) 2022 - [c17]Roos M. Bakker, Maaike H. T. de Boer, André P. Meyer-Vitali, Babette J. Bakker, Stephan A. Raaijmakers:
A Hybrid Approach for Creating Knowledge Graphs: Recognizing Emerging Technologies in Dutch Companies. HHAI 2022: 307-309 - [c16]Roos M. Bakker, Romy A. N. van Drie, Maaike de Boer, Robert van Doesburg, Tom M. van Engers:
Semantic Role Labelling for Dutch Law Texts. LREC 2022: 448-457 - [i5]Steven Vethman, Ajaya Adhikari, Maaike H. T. de Boer, Joost A. G. M. van Genabeek, Cor J. Veenman:
Context-Aware Discrimination Detection in Job Vacancies using Computational Language Models. CoRR abs/2202.03907 (2022) - 2021
- [j8]Michael van Bekkum, Maaike de Boer, Frank van Harmelen, André Meyer-Vitali, Annette ten Teije:
Modular design patterns for hybrid learning and reasoning systems. Appl. Intell. 51(9): 6528-6546 (2021) - [c15]Maaike H. T. de Boer, Fieke Hillerström:
Hybrid AI using Graph Neural Networks in Scene Classification. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c14]Joachim de Greeff, Maaike H. T. de Boer, Fieke H. J. Hillerström, Freek Bomhof, Wiard Jorritsma, Mark A. Neerincx:
The FATE System: FAir, Transparent and Explainable Decision Making. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c13]Sophie Neutel, Maaike H. T. de Boer:
Towards Automatic Ontology Alignment using BERT. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c12]Maaike H. T. de Boer, Erik M. Boertjes, Mike Wilmer, Steven Vethman, Ajaya Adhikari, Jok Tang:
Vacancy Improver: A Demo towards skill-based debiased Vacancies. UMAP (Adjunct Publication) 2021: 68-70 - [i4]Michael van Bekkum, Maaike de Boer, Frank van Harmelen, André Meyer-Vitali, Annette ten Teije:
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases. CoRR abs/2102.11965 (2021) - [i3]André Meyer-Vitali, Wico Mulder, Maaike H. T. de Boer:
Modular Design Patterns for Hybrid Actors. CoRR abs/2109.09331 (2021) - 2020
- [c11]Maaike de Boer, Jack P. C. Verhoosel:
Towards Data-driven Ontologies: a Filtering Approach using Keywords and Natural Language Constructs. LREC 2020: 2285-2292 - [i2]Maaike Burghoorn, Maaike H. T. de Boer, Stephan Raaijmakers:
Gender prediction using limited Twitter Data. CoRR abs/2010.02005 (2020)
2010 – 2019
- 2019
- [j7]Maaike H. T. de Boer, Babette J. Bakker, Erik M. Boertjes, Mike Wilmer, Stephan Raaijmakers, Rick van der Kleij:
Text Mining in Cybersecurity: Exploring Threats and Opportunities. Multimodal Technol. Interact. 3(3): 62 (2019) - [i1]Hella Haanstra, Maaike H. T. de Boer:
Opinion aspect extraction in Dutch childrens diary entries. CoRR abs/1910.10502 (2019) - 2018
- [c10]Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew:
A Dual Prediction Network for Image Captioning. ICME 2018: 1-6 - 2017
- [j6]Maaike de Boer, Geert Pingen, Douwe Knook, Klamer Schutte, Wessel Kraaij:
Improving video event retrieval by user feedback. Multim. Tools Appl. 76(21): 22361-22381 (2017) - [j5]Maaike H. T. de Boer:
Semantic Mapping in Video Retrieval. SIGIR Forum 51(3): 161-162 (2017) - [j4]Maaike de Boer, Yi-Jie Lu, Hao Zhang, Klamer Schutte, Chong-Wah Ngo, Wessel Kraaij:
Semantic Reasoning in Zero Example Video Event Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 13(4): 60:1-60:17 (2017) - [c9]Maaike de Boer, Barry Nouwt, Michael van Bekkum:
SUDS: System for uncertainty decision support. IEEE BigData 2017: 2795-2803 - [c8]Geert L. J. Pingen, Maaike H. T. de Boer, Robin B. N. Aly:
Rocchio-Based Relevance Feedback in Video Event Retrieval. MMM (2) 2017: 318-330 - 2016
- [j3]Maaike de Boer, Klamer Schutte, Hao Zhang, Yi-Jie Lu, Chong-Wah Ngo, Wessel Kraaij:
Blind late fusion in multimedia event retrieval. Int. J. Multim. Inf. Retr. 5(4): 203-217 (2016) - [j2]Maya Sappelli, Gabriella Pasi, Suzan Verberne, Maaike de Boer, Wessel Kraaij:
Assessing e-mail intent and tasks in e-mail messages. Inf. Sci. 358-359: 1-17 (2016) - [j1]Maaike de Boer, Klamer Schutte, Wessel Kraaij:
Knowledge based query expansion in complex multimedia event detection. Multim. Tools Appl. 75(15): 9025-9043 (2016) - [c7]Yi-Jie Lu, Hao Zhang, Maaike de Boer, Chong-Wah Ngo:
Event Detection with Zero Example: Select the Right and Suppress the Wrong Concepts. ICMR 2016: 127-134 - 2015
- [c6]John G. M. Schavemaker, Martijn Spitters, Gijs Koot, Maaike de Boer:
Fast Re-ranking of Visual Search Results by Example Selection. CAIP (1) 2015: 387-398 - [c5]Klamer Schutte, Henri Bouma, John G. M. Schavemaker, Laura Daniele, Maya Sappelli, Gijs Koot, Pieter Eendebak, George Azzopardi, Martijn Spitters, Maaike de Boer, Maarten Kruithof, Paul Brandt:
Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation. CBMI 2015: 1-4 - [c4]Hao Zhang, Yi-Jie Lu, Maaike de Boer, Frank Bart ter Haar, Zhaofan Qiu, Klamer Schutte, Wessel Kraaij, Chong-Wah Ngo:
VIREO-TNO @ TRECVID 2015: Multimedia Event Detection and Video Hyperlinking. TRECVID 2015 - 2014
- [c3]Chong-Wah Ngo, Yi-Jie Lu, Hao Zhang, Ting Yao, Chun Chet Tan, Lei Pang, Maaike de Boer, John G. M. Schavemaker, Klamer Schutte, Wessel Kraaij:
VIREO-TNO @ TRECVID 2014: Multimedia Event Detection and Recounting (MED and MER). TRECVID 2014 - 2013
- [c2]Maaike de Boer, Peter-Paul van Maanen, Gerard Vreeswijk:
Supporting Intelligence Analysts with a Trust-Based Question-Answering System. Web Intelligence/IAT Workshops 2013: 183-186 - [c1]Henri Bouma, George Azzopardi, Martijn Spitters, Joost de Wit, Corné Versloot, Remco van der Zon, Pieter Eendebak, Jan Baan, Johan-Martijn ten Hove, Adam W. M. van Eekeren, Frank Bart ter Haar, Richard den Hollander, Jasper van Huis, Maaike de Boer, Gert van Antwerpen, Jeroen Broekhuijsen, Laura Daniele, Paul Brandt, John G. M. Schavemaker, Wessel Kraaij, Klamer Schutte:
TNO at TRECVID 2013: Multimedia Event Detection and Instance Search. TRECVID 2013
Coauthor Index
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last updated on 2024-11-25 22:48 CET by the dblp team
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