104 citations · 256 across the 12 of their papers we have counts for
8 papers · 1 filter
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction
Thomas van Dongen, Gideon Maillette de Buy Wenniger, Lambert Schomaker
Predicting the number of citations of scholarly documents is an upcoming task in scholarly document processing. Besides the intrinsic merit of this information, it also has a wider…
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
Most existing text-to-image generation methods adopt a multi-stage modular architecture which has three significant problems: 1) Training multiple networks increases the run time a…
Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa)
Mladen Popović, Maruf A. Dhali, Lambert Schomaker
The Dead Sea Scrolls are tangible evidence of the Bible's ancient scribal culture. Palaeography - the study of ancient handwriting - can provide access to this scribal culture. How…
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction
Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa +3
Training recurrent neural networks on long texts, in particular scholarly documents, causes problems for learning. While hierarchical attention networks (HANs) are effective in sol…
FragNet: Writer Identification using Deep Fragment Networks
Sheng He, Lambert Schomaker
Writer identification based on a small amount of text is a challenging problem. In this paper, we propose a new benchmark study for writer identification based on word or text bloc…
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features
Tim Oosterhuis, Lambert Schomaker
Being aware of other traffic is a prerequisite for self-driving cars to operate in the real world. In this paper, we show how the intrinsic feature maps of an object detection CNN…