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r37980778c78--8ae877b0ddb2fe491cd9d7ada9220404
The results of DAG-LDM and SVMs and NNs for the handwritten music symbols. -
r37980778c78--f58b7f6c9e99e5be50d5e298fad87568
Performance of Support Vector Regression (SVR) models for predicting depression (CES-D) at TP2. -
Sleep disturbance (GSDS), anxiety (STAI-S) and depression (CES-D) real values...
Sleep disturbance (GSDS), anxiety (STAI-S) and depression (CES-D) real values compared to the predicted values with the SVR (polynomial kernel) and n-CCA on the dataset with the... -
Performance of Support Vector Regression (SVR) models for predicting sleep di...
Performance of Support Vector Regression (SVR) models for predicting sleep disturbance (GSDS), anxiety (STAI-S) and depression (CES-D) at TP2. -
Statistics of the bilingual Spanish-English task of the News-Commentary 2010 ...
Statistics of the bilingual Spanish-English task of the News-Commentary 2010 corpus. -
r37980778c78--b0fa73e178a60a4c75e06c751cd2ddd3
Results using a count-based 4-gram as the target language model. Time is the average decoding time (in seconds) per sentence measured on an Intel(R) Core(TM) i5 CPU 750 @2.67GHz... -
r37980778c78--532fb8e779ede17bb26ecea1e7eae2b9
Performance of n-CCA for predicting sleep disturbance (GSDS), anxiety (STAI-S) and depression (CES-D) at TP2. -
Feature engineering with clinical expert knowledge: A case study assessment o...
Incorporating expert knowledge at the time machine learning models are trained holds promise for producing models that are easier to interpret. The main objectives of this study... -
Robust cell particle detection to dense regions and subjective training sampl...
: In recent years, finding the cause of pathogenesis is expected by observing the cell images. In this paper, we propose a cell particle detection method in cell images.... -
Robust Satisficing Decision Making for Unmanned Aerial Vehicle Complex Missio...
: This paper presents a robust satisficing decision-making method for Unmanned Aerial Vehicles (UAVs) executing complex missions in an uncertain environment. Motivated by the... -
Sense classification of shallow discourse relations with focused RNNs
Understanding the sense of discourse relations between segments of text is essential to truly comprehend any natural language text. Several automated approaches have been... -
DeepNano: Deep Recurrent Neural Networks for Base Calling in MinION Nanopore ...
The MinION device by Oxford Nanopore produces very long reads (reads over 100 kBp were reported); however it suffers from high sequencing error rate. We present an open-source... -
An improved collaborative filtering method based on similarity
The recommender system is widely used in the field of e-commerce and plays an important role in guiding customers to make smart decisions. Although many algorithms are available... -
Analysis of factors associated with extended recovery time after colonoscopy
Background & aims A common limiting factor in the throughput of gastrointestinal endoscopy units is the availability of space for patients to recover post-procedure. This... -
dedup_wf_001--46d56d95213876cee5251ac84899d0c2
GUASOM is a data mining tool designed for knowledge discovery in large astronomical spectrophotometric archives developed in the framework of Gaia DPAC (Data Processing and... -
Updated science-wide author databases of standardized citation indicators.
This Formal Comment presents an update to citation databases of top-cited scientists across all scientific fields, including more granular information on diverse indicators. -
Implementation of stroke teams and simulation training shortened process time...
Background: To meet the requirements imposed by the time-dependency of acute stroke therapies, it is necessary 1) to initiate structural and cultural changes in the breadth of... -
Neural network models of the tactile system develop first-order units with sp...
AbstractFirst-order tactile neurons have spatially complex receptive fields. Here we use machine learning tools to show that such complexity arises for a wide range of training...