Background: Since many of the new protein structures delivered by high-throughput processes do not have any known function, there is a need for structure-based prediction of prote...
Jean-Christophe Nebel, Pawel Herzyk, David R. Gilb...
In this paper, we describe versatile and powerful algorithms for searching guess-and-determine and meet-in-the-middle attacks on byte-oriented symmetric primitives. To demonstrate ...
Charles Bouillaguet, Patrick Derbez, Pierre-Alain ...
Structural causal models offer a popular framework for exploring causal concepts. However, due to their limited expressiveness, structural models have difficulties coping with su...
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Abstract. This paper complements landmark research with an approach to formalize the structural salience of objects along routes. The aim is to automatically integrate salient obje...