Get started
Author

Jan Scholtes

Observed names: J.C. Scholtes, Jan C. Scholtes, Scholtes, J.C., Scholtes, J.C. (author), Scholtes, Jan, Scholtes, Jan C.
ORCID: 0000-0003-0534-2491
Observed ORCID: 0000-0003-0534-2491
OpenAlex ID: A5050488447
Unsupervised learning and the information retrieval problem
1991 · J.C. Scholtes · IEEE International Joint Conference on Neural Networks (IJCNN) · 27
Resolving Linguistic Ambiguities with a Neural Data-Oriented Parsing (DOP) System
1992 · J.C. Scholtes · Elsevier eBooks · 12
Unsupervised context learning in natural language processing
2002 · J.C. Scholtes · 2022 International Joint Conference on Neural Networks (IJCNN) · 10
Automated identification of healthier food substitutions through a combination of graph neural networks and nutri-scores
2023 · Julie Loesch, Ilse van Lier, et al. · Journal of Food Composition and Analysis · 9
Recurrent Kohonen Self-Organization in Natural Language Processing
1991 · J.C. Scholtes · Elsevier eBooks · 8
Relation extraction from DailyMed structured product labels by optimally combining crowd, experts and machines
2021 · Krist Shingjergji, Remzi Celebi, et al. · Journal of Biomedical Informatics · 7
PDF
The Impact of Incorrect Training Sets and Rolling Collections on Technology-Assisted Review.
2013 · Jan Scholtes, T.H.W. van Cann · 5
The design of a parallel knowledge-based optical character-recognition system
1987 · Henseler, J. (author), Scholtes, J.C. (author), et al. · Research Repository (Delft University of Technology) · 5
PDF
The design of a neural data-oriented parsing (DOP) system
2003 · J.C. Scholtes, S. Bloembergen · 2022 International Joint Conference on Neural Networks (IJCNN) · 3
Relevance Feedback Strategies for Reducing Review Effort in Recall-Oriented Neural Information Retrieval
2024 · Timo Kats, Peter van der Putten, et al. · Communications in computer and information science · 2
PDF
Relevance feedback strategies for recall-oriented neural information retrieval
2023 · Kats, Timo, van der Putten, Peter, et al. · arXiv (Cornell University) · 2
PDF
Dynamic Topic Detection and Tracking using Non-Negative Matrix Factorization
2015 · M. J. Tannenbaum, Andrej Fischer, et al. · Research Publications (Maastricht University) · 2
Automatic Sentence-based Classification of Free-text Breast Cancer Radiology Reports
2012 · Jan Scholtes, Aisan Maghsoodia, et al. · Research Publications (Maastricht University) · 2
DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment
2025 · Abderrahmane Issam, Yusuf Can Semerci, et al. · Conference on Machine Translation (WMT) · 1
PDF
Code Word Detection in Fraud Investigations using a Deep-Learning Approach
2021 · van der Zee, Youri, Scholtes, Jan C., et al. · arXiv (Cornell University) · 1
PDF
SMTP: Stedelijk Museum Text Mining Project
2016 · Jeroen B. J. Smeets, Jan Scholtes, et al. · Data Archiving and Networked Services (DANS) · 1
PDF
Text mining: de volgende stap in zoektechnologie : vinden, zonder precies te weten wat men zoekt of vinden wat er niet lijkt te zijn
2009 · J.C. Scholtes · 1
Neural nets in information retrieval: a case study of the 1987 Pravda
1992 · Jan C. Scholtes · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1
Improving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting
2026 · Mąka, Paweł, Andruszkiewicz, Piotr, et al. · arXiv (Cornell University)
PDF
Scaling Attention Head Analysis via Gradient-Based Attribution in Context-Aware Machine Translation
2026 · Mąka, Paweł, Semerci, Yusuf Can, et al. · arXiv (Cornell University)
PDF
Align, Integrate, and Fire: Efficient Token-Level Alignment for Zero-Shot SpeechLLMs
2026 · Issam, Abderrahmane, Semerci, Yusuf Can, et al. · arXiv (Cornell University)
PDF
Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text
2026 · Issam, Abderrahmane, Semerci, Yusuf Can, et al. · arXiv (Cornell University)
PDF
A Study of Crosslinguistic Influence in Language Models
2026 · Issam, Abderrahmane, Semerci, Yusuf Can, et al. · arXiv (Cornell University)
PDF
You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
2025 · Association for Computational Linguistics 2025, Mąka, Paweł, et al. · Underline Science Inc.
A Representation Level Analysis of NMT Model Robustness to Grammatical Errors
2025 · Abderrahmane Issam, Yusuf Can Semerci, et al.
Works count: 51
Citation count: 101
H-index: 6
I10-index: 3
Year
Topic
Type