Searched for: author%3A%22de+Boer%2C+M.H.T.%22
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Bakker R.M, (author), de Boer, M.H.T. (author), van Drie, R.A.N. (author), Vos, D. (author)
Legal texts are difficult to interpret, and its interpretation depends on the knowledge and experience of the legal expert. Formalising interpretations can improve transparency. However, creating formalisations of legal texts is labour-intensive, and automatically creating them is still a challenge. Previous work showed that rule-based systems...
conference paper 2022
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Bakker, R.M. (author), de Boer, M.H.T. (author), Meyer-Vitali, A.P. (author), Bakker, B.J. (author), Raaijmakers, S.A. (author)
conference paper 2022
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de Boer, M.H.T. (author), Vethman, S. (author), Bakker, R.M. (author), Adhikari, A. (author), Marcus, M.J.H. (author), de Greeff, J. (author), van der Waa1, J. (author), Schoonderwoerd, T.A.J. (author), Tolios, I. (author), van Zoelen, E.M. (author), Hillerström, F.H.J. (author), Kamphorst, B.J. (author)
conference paper 2022
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de Boer, M.H.T. (author), Bakker, R.M. (author), Oosterheert, L. (author), Burghoorn, M. (author), Smit, Q.T.S. (author)
report 2022
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de Greeff, J. (author), de Boer, M.H.T. (author), Hillerström, F.H.J. (author), Bomhoff, F.W. (author), Jorritsma, W. (author), Neerinx, M. (author)
AI tools are becoming more commonly used in a variety of application domains. In this paper, we describe a system named FATE that combines state of the art AI tools. The goal of the FATE system is decision support with use of ongoing human-AI co-learning, explainable AI and fair, bias-free and secure usage of data. These topics are societally...
conference paper 2021
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de Boer, M.H.T. (author), Hillerström, F.H.J. (author)
In Hybrid AI, machine learning and knowledge engineering are combined to have the best of both worlds. Insights obtained from data are combined with complementary expert knowledge, which can be represented in a graph structure. Graph networks are a recently new development in machine learning and cover methods that learn on graph structured data...
conference paper 2021
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van Bekkum, M.A. (author), de Boer, M.H.T. (author), van Harmelen, F. (author), Meyer-Vitali, A. (author), ten Teije, A. (author)
The unification of statistical (data-driven) and symbolic (knowledge-driven) methods is widely recognized as one of the key challenges of modern AI. Recent years have seen a large number of publications on such hybrid neuro-symbolic AI systems. That rapidly growing literature is highly diverse, mostly empirical, and is lacking a unifying view of...
article 2021
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de Boer, M.H.T. (author), Boertjes, E. (author), Wilmer, M. (author), Vethman, S. (author), Adhikari, A. (author), Tang, J. (author)
Many vacancy texts do not reach their full potential; vacancies are too generic, too specific, or biased. In this demo paper, we propose a research prototype that helps users to create a better vacancy text using AI techniques in the domain of Labor Market. The proposed vacancy text from the user is analysed using an function classifier, skill...
conference paper 2021
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de Boer, M.H.T. (author), Verhoosel, J.P.C. (author)
Creating ontologies is an expensive task. Our vision is that we can automatically generate ontologies based on a set of relevant documents to create a kick-start in ontology creating sessions. In this paper, we focus on enhancing two often used methods, OpenIE and cooccurrences. We evaluate the methods on two document sets, one about pizza and...
conference paper 2020
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de Boer, M.H.T. (author), Verhoosel, J.P.C. (author)
The manual creation of an ontology is a tedious task. In the field of ontology learning, Natural Language Processing (NLP) techniques are used to automatically create ontologies. In this paper, we present a methodology using data-driven techniques to create ontologies from unstructured documents in the agriculture domain. We use state-of-the-art...
conference paper 2019
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de Boer, M.H.T. (author), Bouma, H. (author), Kruithof, M.C. (author), Joosten, B. (author)
Annotating a large set of images, especially with bounding boxes, is a tedious task. In this paper, we propose an intuitive image annotation tool. This tool not only allows (non-expert) users to annotate images with novel concepts, but is also able to achieve acceptable performance with a smaller number of annotated images. The tool can also...
conference paper 2019
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Guo, Y. (author), Liu, Y. (author), de Boer, M.H.T. (author), Liu, L. (author), Lew, M.S. (author)
General captioning practice involves a single forward prediction, with the aim of predicting the word in the next timestep given the word in the current timestep. In this paper, we present a novel captioning framework, namely Dual Prediction Network (DPN), which is end-to-end trainable and addresses the captioning problem with dual predictions....
conference paper 2018
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Bouma, H. (author), Joosten, B. (author), Kruithof, M.C. (author), de Boer, M.H.T. (author), Ginsca, A. (author), Labbe, B. (author), Vuong, Q.T. (author)
Due to the increasing need for effective security measures and the integration of cameras in commercial products, a huge amount of visual data is created today. Law enforcement agencies (LEAs) are inspecting images and videos to find radicalization, propaganda for terrorist organizations and illegal products on darknet markets. This is time...
conference paper 2018
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de Boer, M.H.T. (author), Lu, Y.J. (author), Zhang, H. (author), Schutte, K. (author), Ngo, C.W. (author), Kraaij, W. (author)
Searching in digital video data for high-level events, such as a parade or a car accident, is challenging when the query is textual and lacks visual example images or videos. Current research in deep neural networks is highly beneficial for the retrieval of high-level events using visual examples, but without examples it is still hard to (1)...
article 2017
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de Boer, M.H.T. (author), Bouma, H. (author), Kruithof, M.C. (author), ter Haar, F.B. (author), Fischer, N.M. (author), Hagendoorn, L.K. (author), Joosten, B. (author), Raaijmakers, S. (author)
The information available on-line and off-line, from open as well as from private sources, is growing at an exponential rate and places an increasing demand on the limited resources of Law Enforcement Agencies (LEAs). The absence of appropriate tools and techniques to collect, process, and analyze the volumes of complex and heterogeneous data...
conference paper 2017
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Pingen, G.L.J. (author), de Boer, M.H.T. (author), Aly, R.B.N. (author)
conference paper 2017
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de Boer, M.H.T. (author), Escher, C. (author), Schutte, K. (author)
One of the challenges in Video Event Retrieval, the field in which (a sequence of frames with) high-level events are retrieved from a set of videos, is to model the temporal structure. One way to incorporate this information is using ANDOR graphs, which is a type of graphical model consisting of layers with AND nodes and OR nodes. We introduce...
conference paper 2017
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de Boer, M.H.T. (author)
In the modern world, networked sensor technology makes it possible to capture the world around us in real-time. In the security domain cameras are an important source of information. Cameras in public places, bodycams, drones and recordings with smart phones are used for real time monitoring of the environment to prevent crime (monitoring case);...
doctoral thesis 2017
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de Boer, M.H.T. (author), Schutte, K. (author), Zhang, H. (author), Lu, Y.J. (author), Ngo, C.W. (author), Kraaij, W. (author)
One of the challenges in Multimedia Event Retrieval is the integration of data from multiple modalities. A modality is defined as a single channel of sensory input,such as visual or audio. We also refer to this as data source. Previous research has shown that the integration of different data sources can improve performance compared to only...
article 2016
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de Boer, M.H.T. (author), Reitsma, S. (author), Schutte, K. (author)
Visual Question Answering is a field that combines vision techniques and natural language processing techniques. One of the most challenging question types in this field is counting, such as How many sheep are in this picture. In this paper, we focus on counting questions and improve upon the state-of-the-art method DPPnet. We train concept...
conference paper 2016
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