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Bioinformatics
239 directly classified papers
Papers per year
2006: 4
2007: 3
2008: 6
2009: 1
2010: 5
2011: 1
2012: 1
2013: 2
2014: 2
2015: 1
2016: 1
2017: 5
2018: 5
2019: 19
2020: 15
2021: 18
2022: 30
2023: 27
2024: 47
2025: 46
Papers
Bacteria Biotope at BioNLP Open Shared Tasks 2019
EMNLP 2019
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition
EMNLP 2019
Generative modeling for protein structures
NIPS 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
NIPS 2018
Direct Estimation of Differences in Causal Graphs
NIPS 2018
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
NIPS 2018
Analyzing Correlated Evolution of Multiple Features Using Latent Representations
EMNLP 2018
Clustering Billions of Reads for DNA Data Storage
NIPS 2017
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
NIPS 2017
Protein Interface Prediction using Graph Convolutional Networks
NIPS 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
NIPS 2017
Multiple-Scattering Microphysics Tomography
CVPR 2017
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
NIPS 2016
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
NIPS 2015
Searching for Higgs Boson Decay Modes with Deep Learning
NIPS 2014
Learning Modular Structures from Network Data and Node Variables
ICML 2014
Gauging Association Patterns of Chromosome Territories via Chromatic Median
CVPR 2013
Matrix factorization with binary components
NIPS 2013
Learning Invariant Representations of Molecules for Atomization Energy Prediction
NIPS 2012
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction
NIPS 2011
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
NIPS 2010
Variational Inference over Combinatorial Spaces
NIPS 2010
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
AISTATS 2010
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
NIPS 2010
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