Abstract A number of large technology companies have created code-free cloud-based platforms that allow researchers and clinicians without coding experience to create deep learning algorithms. In this study, we comprehensively analyse the performance featureset six platforms, using four representative cross-sectional en-face medical imaging datasets image classification models. The mean (s.d.) ...

Automatic program repair (APR) aims to reduce the cost of manually fixing software defects. However, APR suffers from generating a multitude overfitting patches, those patches that fail correctly defect beyond making tests pass. This paper presents novel patch detection system called ODS assess correctness patches. first statically compares patched and buggy in order extract code features at ab...

In this paper, an efficient local operator, namely the Local Quantization Code (LQC), is proposed for texture classification. The conventional local binary pattern can be regarded as a special local quantization method with two levels, 0 and 1. Some variants of the LBP demonstrate that increasing the local quantization level can enhance the local discriminative capability. Hence, we present a s...

We propose a framework that leverages articulatory phonology for speech recognition. “Gestural pattern vectors” (GPV) encode the instantaneous gestural activations that exist across all tract variables at each time. Given a speech observation, recognizing the sequence of GPV recovers the ensemble of gestural activations, i.e., the gestural score. For each word in the vocabulary, we use a task d...

Classification is a data mining technique widely used in critical domains like financial risk analysis, biology, communication network management, etc. Classification accuracy and learning from distributed datasets are the most challenging topics in the field of supervised learning. In this paper, we first briefly review the background of parallel and distributed classification algorithms and t...

With the growth in our society, one of the most affected aspect of our routine life is language. We tend to mix our conversations in more than one language, often mixing up regional language with English language is a lot more common practice. This mixing of languages is referred as code mixing, where we mix different linguistic constituents such as phrases, proper nouns, morphemes etc. to come...

this study investigates the relationship between market structure and profitability in the iranian manufacturing industries. in this study, raw data based on international standard industrial classification (at four digit code) has been used. fixed effects panel estimation method (based on diagnostic test results) has been chosen for empirical investigation. the result of the study confirms the...