Search Results - "Stephan Raaijmakers"

Editorial: Conversational AI by Raaijmakers, Stephan, Cremers, Anita, Krahmer, Emiel, Westera, Matthijs

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Emerging Grounded Shared Vocabularies Between Human and Machine, Inspired by Human Language Evolution by Kouwenhoven, Tom, Verhoef, Tessa, de Kleijn, Roy, Raaijmakers, Stephan

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Text Mining in Cybersecurity: Exploring Threats and Opportunities by de Boer, Maaike H. T., Bakker, Babette J., Boertjes, Erik, Wilmer, Mike, Raaijmakers, Stephan, van der Kleij, Rick

“…The number of cyberattacks on organizations is growing. To increase cyber resilience, organizations need to obtain foresight to anticipate cybersecurity…”
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Disrupting violence while preserving encryption by Eva Nave, Stephan Raaijmakers, Thijs Veugen

“…Business models adopted by online platforms have enabled the proliferation of online hate speech. Platforms providing end-to-end encrypted (E2EE) services have…”
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Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT by Panoutsopoulos, Hercules, Espejo-Garcia, Borja, Raaijmakers, Stephan, Wang, Xu, Fountas, Spyros, Brewster, Christopher

“…•Agriculture-BERT is compared to other BERT models on agricultural term extraction.•With a few exceptions, Agriculture-BERT performs better than the other BERT…”
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Hybrid collective intelligence in a human–AI society by Peeters, Marieke M. M., van Diggelen, Jurriaan, van den Bosch, Karel, Bronkhorst, Adelbert, Neerincx, Mark A., Schraagen, Jan Maarten, Raaijmakers, Stephan

“…Within current debates about the future impact of Artificial Intelligence (AI) on human society, roughly three different perspectives can be recognised: (1)…”
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Ontology-based Access Control for FAIR Data by Brewster, Christopher, Nouwt, Barry, Raaijmakers, Stephan, Verhoosel, Jack

“…This paper focuses on fine-grained, secure access to FAIR data, for which we propose ontology-based data access policies. These policies take into account both…”
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A Day in the Life the Synchronisation of Everyday Life in the Netherlands: 1975 versus 1995 by Raaijmakers, Stephan F.J.M.

“…According to a wide variety of authors, we are witnessing a fundamental transformation and change in the structure of modern Western economy and society. Most…”
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The Multilingual Token Test by Bastiaanse, Roelien, Raaijmakers, Stephan, Satoer, Djaina, Visch-Brink, Evy

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The gender subtext of organizational learning by Raaijmakers, Stephan, Bleijenbergh, Inge, Fokkinga, Brigit, Visser, Max

“…Purpose This paper aims to challenge the alleged gender-neutral character of Argyris and Schön’s theory of organizational learning (1978). While theories in…”
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Learning to rank for why-question answering by Verberne, Suzan, van Halteren, Hans, Theijssen, Daphne, Raaijmakers, Stephan, Boves, Lou

“…In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why -questions. We use TF-IDF together with a set of 36…”
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Thinking Aloud While Solving a Stock-Flow Task: Surfacing the Correlation Heuristic and Other Reasoning Patterns by Korzilius, Hubert, Raaijmakers, Stephan, Rouwette, Etiënne, Vennix, Jac

“…In the literature, it is assumed that individuals, while performing stock‐flow tasks, often use a correlation heuristic, a form of pattern matching in which…”
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Memory-Augmented Generative Adversarial Transformers by Raaijmakers, Stephan, Bakker, Roos, Cremers, Anita, de Kleijn, Roy, Kouwenhoven, Tom, Verhoef, Tessa

“…Conversational AI systems that rely on Large Language Models, like Transformers, have difficulty interweaving external data (like facts) with the language they…”
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Gender prediction using limited Twitter Data by Burghoorn, Maaike, de Boer, Maaike H. T, Raaijmakers, Stephan

“…Transformer models have shown impressive performance on a variety of NLP tasks. Off-the-shelf, pre-trained models can be fine-tuned for specific NLP…”
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Robustness Verification for Classifier Ensembles by Gross, Dennis, Jansen, Nils, Pérez, Guillermo A, Raaijmakers, Stephan

“…We give a formal verification procedure that decides whether a classifier ensemble is robust against arbitrary randomized attacks. Such attacks consist of a…”
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Adversarial Patch Camouflage against Aerial Detection by Adhikari, Ajaya, Hollander, Richard den, Tolios, Ioannis, van Bekkum, Michael, Bal, Anneloes, Hendriks, Stijn, Kruithof, Maarten, Gross, Dennis, Jansen, Nils, Pérez, Guillermo, Buurman, Kit, Raaijmakers, Stephan

“…Detection of military assets on the ground can be performed by applying deep learning-based object detectors on drone surveillance footage. The traditional way…”
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Time Crunch and the Perception of Control over Time from a Gendered Perspective: The Dutch Case by Peters, Pascale, Raaijmakers, Stephan

“…The belief that "role overload" contributed to an objective decline in leisure time and a loss of control over time has been questioned in the ongoing debate…”
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Artificial Intelligence for Law Enforcement: Challenges and Opportunities by Raaijmakers, Stephan

“…Artificial intelligence (AI)-and particularly deep learning-is progressing rapidly from a technical perspective, but, in a number of domains, adoption is still…”
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T ime C runch and the P erception of C ontrol over T ime from a G endered P erspective : T he D utch C ase by Peters, Pascale, Raaijmakers, Stephan

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