Results 251 to 260 of about 102,869 (305)

Multimodal text-audio sentiment in clinical aphasia speech using NLP. [PDF]

Front Digit Health
Manir SB, Kothari AN, Gross WL, Deshpande P.   +3 more
europepmc   +1 more source

From rules to foundation models: a comprehensive review of machine learning approaches for siRNA design. [PDF]

NAR Genom Bioinform
Khodagholi Z, Yousefi N.
europepmc   +1 more source

Discriminative feature learning for multiclass lung disease classification using contrastive learning. [PDF]

Front Radiol
Munira HA, Zhang X, Rajaraman PK, Comellas AP, Hoffman EA, Fain SB, Choi J, Castro M, Schiebler ML, Israel E, Erzurum SC, Yang T, Lin CL.   +12 more
europepmc   +1 more source

DeepVIC: modular prediction and classification of bacterial virulence factors using protein language model embeddings. [PDF]

Bioinform Adv
Tsui WK, Chan YX, Chow KH, Ho PL, Cao H.
europepmc   +1 more source

Generative Distribution Prediction: A Unified Approach to Multimodal Learning. [PDF]

Mach Learn
Tian X, Shen X.
europepmc   +1 more source

Genetic decoding reveals druggable biology implicitly learned by a medical-history foundation model

Zeng W, Kohleick L, Beuchel C, Zoodsma M, Koprulu M, Zanini JC, Wild B, Langenberg C, Pietzner M.   +8 more
europepmc   +1 more source

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Simultaneous Embedding of Embedded Planar Graphs

International Journal of Computational Geometry & Applications, 2011
A simultaneous embedding with fixed edges (SEFE) of a set of k planar graphs G1,…,Gk on the same set of vertices is a set of k planar drawings of G1,…,Gk, respectively, such that each vertex is placed on the same point in all the drawings and each edge is represented by the same Jordan curve in the drawings of all the graphs it belongs to.
Patrizio Angelini, Giuseppe Di Battista, Fabrizio Frati   +2 more
openaire   +3 more sources

Embedding of Embedding (EOE)

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Network embedding is increasingly employed to assist network analysis as it is effective to learn latent features that encode linkage information. Various network embedding methods have been proposed, but they are only designed for a single network scenario.
Linchuan Xu, Xiaokai Wei, Jiannong Cao 0001, Philip S. Yu   +3 more
openaire   +1 more source

Embedding Structures

Graphs and Combinatorics, 2001
Let \(S\) be a quasiordered set (quoset) or topological space and \(\text{Sub} S\) be the set of all nonempty subquosets or subspaces quasiordered by embeddability, respectively. For a cardinal number \(n\), \(p_n\) and \(q_n\) denote the smallest size of spaces \(S\) such that each poset respectively quoset with \(n\) points is embeddable in \(\text ...
Marcel Erné, Jürgen Reinhold
openaire   +3 more sources