AIMC Topic: Benchmarking

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Fuzzy-Rough Cognitive Networks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2017
Rough Cognitive Networks (RCNs) are a kind of granular neural network that augments the reasoning rule present in Fuzzy Cognitive Maps with crisp information granules coming from Rough Set Theory. While RCNs have shown promise in solving different cl...
Cognition Models, Theoretical Fuzzy Logic Algorithms Neural Networks, Computer Computer Simulation Decision Trees Bayes Theorem Benchmarking Pattern Recognition, Automated Problem Solving Discrimination, Psychological
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Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 25, 2017
Pathology is on the verge of a profound change from an analog and qualitative to a digital and quantitative discipline. This change is mostly driven by the high-throughput scanning of microscope slides in modern pathology departments, reaching tens o...
Machine Learning Diagnostic Imaging Benchmarking Quality Control Image Enhancement Neural Networks, Computer
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Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening.

Journal of chemical information and modeling Jul 12, 2017
In structure-based virtual screening, compound ranking through a consensus of scores from a variety of docking programs or scoring functions, rather than ranking by scores from a single program, provides better predictive performance and reduces targ...
Drug Evaluation, Preclinical Molecular Targeted Therapy Proteins Benchmarking Machine Learning Molecular Docking Simulation User-Computer Interface
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Differential Cloud Particles Evolution Algorithm Based on Data-Driven Mechanism for Applications of ANN.

Computational intelligence and neuroscience Jul 6, 2017
Computational scientists have designed many useful algorithms by exploring a biological process or imitating natural evolution. These algorithms can be used to solve engineering optimization problems. Inspired by the change of matter state, we propos...
Benchmarking Neural Networks, Computer Algorithms
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History matching through dynamic decision-making.

PloS one Jun 5, 2017
History matching is the process of modifying the uncertain attributes of a reservoir model to reproduce the real reservoir performance. It is a classical reservoir engineering problem and plays an important role in reservoir management since the resu...
Brazil Decision Making Unsupervised Machine Learning Benchmarking Humans Uncertainty Decision Support Techniques
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MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank.

Journal of biomedical semantics Apr 17, 2017
BACKGROUND: MeSH indexing is the task of assigning relevant MeSH terms based on a manual reading of scholarly publications by human indexers. The task is highly important for improving literature retrieval and many other scientific investigations in ...
Machine Learning Benchmarking PubMed Automation Abstracting and Indexing Medical Subject Headings
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InterPred: A pipeline to identify and model protein-protein interactions.

Proteins Mar 21, 2017
Protein-protein interactions (PPI) are crucial for protein function. There exist many techniques to identify PPIs experimentally, but to determine the interactions in molecular detail is still difficult and very time-consuming. The fact that the numb...
Sequence Analysis, Protein Protein Interaction Domains and Motifs Support Vector Machine Proteins Internet Benchmarking Amino Acid Sequence Protein Interaction Mapping Software Molecular Docking Simulation Computational Biology
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Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double-blind predictions during the CASP11 experiment.

Proteins Mar 21, 2017
Protein structure refinement is the challenging problem of operating on any protein structure prediction to improve its accuracy with respect to the native structure in a blind fashion. Although many approaches have been developed and tested during t...
Protein Conformation Monte Carlo Method Models, Statistical Proteins Double-Blind Method Internet Benchmarking Molecular Dynamics Simulation Software Computational Biology Support Vector Machine
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A machine learning approach for ranking clusters of docked protein-protein complexes by pairwise cluster comparison.

Proteins Jan 20, 2017
Reliable identification of near-native poses of docked protein-protein complexes is still an unsolved problem. The intrinsic heterogeneity of protein-protein interactions is challenging for traditional biophysical or knowledge based potentials and th...
Cluster Analysis Proteins Benchmarking Machine Learning Protein Conformation Binding Sites Thermodynamics Molecular Docking Simulation Protein Binding Computational Biology Software Research Design Protein Interaction Mapping Structural Homology, Protein
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PCM-SABRE: a platform for benchmarking and comparing outcome prediction methods in precision cancer medicine.

BMC bioinformatics Jan 17, 2017
BACKGROUND: Numerous publications attempt to predict cancer survival outcome from gene expression data using machine-learning methods. A direct comparison of these works is challenging for the following reasons: (1) inconsistent measures used to eval...
Software Algorithms Precision Medicine Neural Networks, Computer Machine Learning Benchmarking Neoplasm Recurrence, Local Female Breast Neoplasms Logistic Models Humans
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