• Cohn-Kanade

  • Referenced in 60 articles [sw04974]
  • peak expression. The peak expression for each sequence is fully FACS (Ekman, Friesen, & Hager ... Friesen, 1979) coded and given an emotion label. The emotion label refers to what expression ... actually have been performed. For validated emotion labels, please use version 2, CK+, as described ... addition validated emotion labels have been added to the metadata. Thus, sequences may be analyzed...
  • PRIX

  • Referenced in 11 articles [sw18898]
  • database can be transformed into a sequence of labels by Prufer’s method that constructs ... correspondence between trees and sequences. During query processing, a twig pattern is also transformed into...
  • iPTM-mLys

  • Referenced in 26 articles [sw23948]
  • method has ever been developed for multi-label PTM types. As one of the most ... interesting challenge: given an uncharacterized protein sequence containing many K residues, which ones can accommodate ... RESULTS: To address this problem, a multi-label predictor called IPTM-MLYS: has been developed ... label PTM predictor ever established. The novel predictor is featured by incorporating the sequence-coupled...
  • DenseCap

  • Referenced in 5 articles [sw27203]
  • Network language model that generates the label sequences. We evaluate our network on the Visual...
  • iLoc-Hum

  • Referenced in 36 articles [sw22433]
  • iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with ... subcellular locations of proteins based on their sequence information, it still remains as a challenging ... attention. Based on the accumulation-label scale, a new predictor, called iLoc-Hum, was developed ... none has 25% or higher pairwise sequence identity to any other in the same subset...
  • Cityscapes

  • Referenced in 19 articles [sw36624]
  • semantic labeling. Cityscapes is comprised of a large, diverse set of stereo video sequences recorded ... methods that leverage large volumes of weakly-labeled data. Crucially, our effort exceeds previous attempts...
  • DeepWalk

  • Referenced in 63 articles [sw39604]
  • unsupervised feature learning (or deep learning) from sequences of words to graphs. DeepWalk uses local ... DeepWalk’s latent representations on several multi-label network classification tasks for social networks such...
  • NCRF++

  • Referenced in 1 article [sw26488]
  • NCRF++: An Open-source Neural Sequence Labeling Toolkit. This paper describes NCRF++, a toolkit ... neural sequence labeling. NCRF++ is designed for quick implementation of different neural sequence labeling models ... most state-of-the-art neural sequence labeling models such as LSTM-CRF, facilitating reproducing...
  • CarpeDiem

  • Referenced in 2 articles [sw13693]
  • evaluation of the best (most probable) sequence of labels with a time complexity linear ... events, and quadratic in the number of labels. In this paper we propose CarpeDiem ... evaluation of the best possible sequence of labels with a sub-quadratic time complexity...
  • FlexCRFs

  • Referenced in 2 articles [sw10649]
  • random field toolkit for segmenting and labeling sequence data written in C/C++ using STL library...
  • SpanNER

  • Referenced in 1 article [sw39724]
  • Named Entity Recognition (NER) systems from sequence labeling to span prediction. Despite its preliminary effectiveness ... named entity recognition compared with the sequence labeling framework and how to further improve...
  • Tiamat

  • Referenced in 6 articles [sw00963]
  • combines user input with random sequence generation to efficiently label the molecules...
  • iLoc-Virus

  • Referenced in 31 articles [sw22417]
  • iLoc-Virus: a multi-label learning classifier for identifying the subcellular localization of virus proteins ... subcellular locations of proteins according to their sequence information, it is still remains ... this paper, by introducing the ”multi-label scale” and by hybridizing the gene ontology information...
  • iobes

  • Referenced in 1 article [sw35458]
  • recognition and slot-filling, involve identifying and labeling specific spans of text. In order ... these tasks are often recast as sequence labeling tasks. Each token is given a label...
  • MaChAmp

  • Referenced in 1 article [sw33965]
  • uniform toolkit, from text classification to sequence labeling and dependency parsing...
  • TEXshade

  • Referenced in 1 article [sw21125]
  • TEXshade: shading and labeling of multiple sequence alignments using LATEX2 epsilon. MOTIVATION: Typesetting, shading ... labeling of nucleotide and peptide alignments using standard word processing or graphics software is time ... sequence shading programs usually do not allow manual application of additional shadings or labels. Hence ... manual shading, graphical labels, re-arrangements of the sequence order, numbering, legends etc. is implemented...
  • pLoc-mAnimal

  • Referenced in 27 articles [sw24438]
  • locations. Facing explosive growth of protein sequences, we are challenged to develop fast and effective ... mounting evidences have indicated proteins have multi-label feature meaning that they may simultaneously exist...
  • PipMaker

  • Referenced in 8 articles [sw17257]
  • each aligning segment between the two sequences in a compact and easily understandable form. Positions ... along the horizontal axis can be labeled with features such as exons of genes ... plot). PipMaker is appropriate for comparing genomic sequences from any two related species, although...
  • SLEDGE

  • Referenced in 1 article [sw08379]
  • iterative. In each training image, SLEDGE labels a sequence of edges, which induces loss with...
  • OLT

  • Referenced in 1 article [sw28255]
  • labeling is conveniently accomplished. The annotated labels are automatically propagated by the toolkit to each ... observation in the collected sequence, providing a dense labeling of both intensity and depth images ... resulting objects’ labels can be exploited for many robotic oriented applications, including high-level decision ... describe its application to robotic RGB-D sequences taken in a home environment...