AIMC Topic: Benchmarking

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Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations.

Evolutionary computation Dec 28, 2018
Exploratory Landscape Analysis provides sample-based methods to calculate features of black-box optimization problems in a quantitative and measurable way. Many problem features have been proposed in the literature in an attempt to provide insights i...
Humans Machine Learning Sample Size Benchmarking Problem Solving Algorithms Decision Support Techniques Computational Biology
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ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition.

Neural networks : the official journal of the International Neural Network Society Nov 13, 2018
Despite recent success of deep learning models in numerous applications, their widespread use on mobile devices is seriously impeded by storage and computational requirements. In this paper, we propose a novel network compression method called Adapti...
Humans Machine Learning Deep Learning Neural Networks, Computer Benchmarking Data Compression
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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning.

Evolutionary computation Oct 26, 2018
In this article, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems' landscapes and show their effectiveness in automatically constructing algorithm selection models ...
Computer Simulation Benchmarking Information Storage and Retrieval Pattern Recognition, Automated Humans Machine Learning Algorithms Decision Support Techniques
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KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.

Journal of proteome research Aug 13, 2018
Cell-penetrating peptides (CPPs) facilitate the transport of pharmacologically active molecules, such as plasmid DNA, short interfering RNA, nanoparticles, and small peptides. The accurate identification of new and unique CPPs is the initial step to ...
Animals Models, Statistical Amino Acids Neural Networks, Computer Machine Learning Software Datasets as Topic Cell Membrane Permeability Cell-Penetrating Peptides Internet Benchmarking Amino Acid Sequence Humans Sequence Analysis, Protein Eukaryotic Cells
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A hierarchical semi-supervised extreme learning machine method for EEG recognition.

Medical & biological engineering & computing Jul 28, 2018
Feature extraction and classification is a vital part in motor imagery-based brain-computer interface (BCI) system. Traditional deep learning (DL) methods usually perform better with more labeled training samples. Unfortunately, the labeled samples a...
Machine Learning Algorithms Electroencephalography Benchmarking Brain-Computer Interfaces Humans
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Benchmarking deep learning models on large healthcare datasets.

Journal of biomedical informatics Jun 5, 2018
Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications. However, few works exist w...
Benchmarking Female International Classification of Diseases Aged Aged, 80 and over Length of Stay Male Hospital Mortality Middle Aged Deep Learning Forecasting Databases, Factual Intensive Care Units Humans Neural Networks, Computer Algorithms
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Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization.

Journal of chemical information and modeling May 8, 2018
Undetected overfitting can occur when there are significant redundancies between training and validation data. We describe AVE, a new measure of training-validation redundancy for ligand-based classification problems, that accounts for the similarity...
Machine Learning Drug Discovery Benchmarking Ligands
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Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2018
This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises Con...
Location Directories and Signs Pattern Recognition, Visual Benchmarking Automobile Driving Stochastic Processes Algorithms Databases, Factual Humans Neural Networks, Computer Machine Learning
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Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.

Computer methods and programs in biomedicine Dec 16, 2017
Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The machine learning (ML) techniques applied for FLD detection and risk stratificatio...
Diagnosis, Computer-Assisted Benchmarking Machine Learning Humans Image Interpretation, Computer-Assisted Ultrasonography Neural Networks, Computer Reproducibility of Results ROC Curve Fatty Liver Risk Factors Computational Biology Support Vector Machine
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Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.

EBioMedicine Dec 12, 2017
BACKGROUND: Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction system that is accurate, fully automated, patient-specific, and tunable to an...
Machine Learning Seizures Time Factors Humans Benchmarking Epilepsy Statistics as Topic
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