Results 91 to 100 of about 246,716 (195)

Reflections on the Foundations of Meta-Programming [PDF]

, 1992
Apt, Krzysztof R., Bry, François
core   +1 more source

Adaptive knowledge distillation based structure-text embedding integrating for knowledge graph completion. [PDF]

PLoS One
Li Q, Lv Y, Wei X, Li C, Wei L, Zhang J, Wei W.   +6 more
europepmc   +1 more source

Truth, deduction and computation: Logic and semantics for computer science

Science of Computer Programming, 1990
openaire   +1 more source

STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks. [PDF]

IEEE Trans Knowl Data Eng
Li J, Lu H, Shahabi C.
europepmc   +1 more source

Semantically Enabled Service-Oriented Architectures: A Manifesto and a Paradigm Shift in Computer Science

, 2005
After four decades of rapid advances in computing, we are embarking on the greatest leap forward in computing that includes revolutionary changes at all levels of computing from the hardware through the middleware and infrastructure to applications and more importantly in intelligence.
Brodie, Michael, Bussler, Chris, de Bruijn, Jos, Fahringer, Thomas, Fensel, Dieter, Hepp, Martin, Lausen, Holger, Roman, Dumitru, Strang, Thomas, Werthner, Hannes, Zaremba, Michal   +10 more
openaire   +1 more source

Research on deep learning architecture optimization method for intelligent scheduling of structural space. [PDF]

Sci Rep
Ying W, Hui L.
europepmc   +1 more source

A dual diffusion model-based representation learning framework for antimicrobial peptides classification. [PDF]

Bioinformatics
Kong W, Fu L, Jiang X, Zhao W.
europepmc   +1 more source

Causal knowledge graph analysis identifies adverse drug effects. [PDF]

Bioinformatics
Toonsi S, Schofield PN, Hoehndorf R.
europepmc   +1 more source

BGSC-Net: Boundary-guided semantic compensation network for remote sensing image segmentation. [PDF]

PLoS One
Wang X, Lu Z, Yang Q, Lu J, Yang H, Qin Q, Lian G, Wang J.   +7 more
europepmc   +1 more source

Semantic-enhanced heterogeneous graph learning for identifying ncRNAs associated with drug resistance. [PDF]

Bioinformatics
Wei H, Xie Y, Zhang W, Li L, Wu S, Gao L.   +5 more
europepmc   +1 more source