Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations. [PDF]
Sharma B +6 more
europepmc +1 more source
Rede neural artificial consiste em um conjunto de unidades que contêm funções matemáticas, unidas por pesos. As redes são capazes de aprender, mediante modificação dos pesos sinápticos, e generalizar o aprendizado para outros arquivos desconhecidos.
Eric Bastos Gorgens +3 more
doaj +1 more source
Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings. [PDF]
Picek L, Šulc M, Patel Y, Matas J.
europepmc +1 more source
Segmentation and Location Computation of Bin Objects
In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the object location [midpoint,x, y and
C.R. Hema +3 more
doaj
Evolving Neural Arrays A new mechanism for learning complex action sequences
Incremental evolution has proved to be an extremely useful mechanism in complex actions sequence learning. Its performance is based on the decomposition of the original problem into increasingly complex stages whose learning is carried out sequentially ...
Leonardo Corbalán, Laura Lanzarini
doaj +1 more source
PIPENN: protein interface prediction from sequence with an ensemble of neural nets. [PDF]
Stringer B +5 more
europepmc +1 more source
User's guide for NETS/PROSSS [PDF]
Expensive analysis programs are often combined with optimization procedures to solve engineering problems. To obtain an optimal solution requires numerous iterations between the analysis program and the optimizer.
Lamarsh, William J., II +1 more
core +1 more source
A Study on Different Deep Learning Algorithms Used in Deep Neural Nets: MLP SOM and DBN. [PDF]
Naskath J, Sivakamasundari G, Begum AAS.
europepmc +1 more source
On Forecasting Recessions via Neural Nets [PDF]
In this research, we employ artificial neural networks in conjunction with selected economic and financial variables to forecast recessions in Canada, France, Germany, Italy, Japan, UK, and USA.
Khurshid Kiani
core
MapCell: Learning a Comparative Cell Type Distance Metric With Siamese Neural Nets With Applications Toward Cell-Type Identification Across Experimental Datasets. [PDF]
Koh W, Hoon S.
europepmc +1 more source

