2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.DB2023★ 2 cited
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]
Alexandros Zeakis, George Papadakis, Dimitrios Skoutas +1
Many recent works on Entity Resolution (ER) leverage Deep Learning techniques involving language models to improve effectiveness. This is applied to both main steps of ER, i.e., bl…
eess.IV2021★ 2 cited
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification
Maja Schneider, Amelie Broszeit, Marco Körner
We present EuroCrops, a dataset based on self-declared field annotations for training and evaluating methods for crop type classification and mapping, together with its process of…