Preprints (not yet peer-reviewed)

32 downloads
116 views

We propose a simple Neural Network model which can learn relation between sentences by modeling the task as Earth Mover's Distance(EMD) calculation. Underlying hypothesis is that a neural module can learn to approximate the flow optimization in EMD calculation...

["Artificial Intelligence","Data Science","Natural Language and Speech"]
doi:10.7287/peerj.preprints.26847v1
35 downloads
74 views

Nowadays, there is a large number of machine learning models that could be used for various areas. However, different research targets are usually sensitive to the type of models. For a specific prediction target, the predictive accuracy of a machine learning model...

["Artificial Intelligence","Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.26714v1
83 downloads
170 views

Background. Automatic contradiction detection or conflicting statements detection in text consists of identifying discrepancy, inconsistency and defiance in text and has several real world applications in questions and answering systems, multi-document summarization,...

["Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.26589v1
170 downloads
302 views

Background. Office of Academic Affairs (OAA), Office of Student Life (OSL) and Information Technology Helpdesk (ITD) are support functions within a university which receives hundreds of email messages on the daily basis. A large percentage of emails received by...

["Artificial Intelligence","Data Mining and Machine Learning","Natural Language and Speech"]
doi:10.7287/peerj.preprints.26531v1
54 downloads
153 views

Acoustic frog species classification has received much attention for its importance in assessing biodiversity. However, most previous frog call classification models are trained and tested using the data collected from the same area, which greatly limits the model's...

["Artificial Intelligence"]
doi:10.7287/peerj.preprints.26485v1
306 downloads
309 views

Background. Automated Essay Scoring (AES) is an area which falls at the intersection of computing and linguistics. AES systems conduct a linguistic analysis of a given essay or prose and then estimates the writing skill or the essay quality in the form a numeric...

["Artificial Intelligence","Computational Linguistics","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.3518v1
504 downloads
1,401 views

Intelligence and consciousness have fascinated humanity for a long time and we have long sought to replicate this in machines. In this work we show some design principles for a compassionate and conscious artificial intelligence. We present a computational framework...

["Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.3502v2
219 downloads
1,383 views

Human speech is the most important part of General Artificial Intelligence and subject of much research. The hypothesis proposed in this article provides explanation of difficulties that modern science tackles in the field of human brain simulation. The hypothesis...

["Artificial Intelligence","Computational Linguistics","Natural Language and Speech"]
doi:10.7287/peerj.preprints.1576v4
105 downloads
191 views

In recent years, with the improvement in imaging technology, the quality of small cameras have significantly improved. Coupled with the introduction of credit-card sized single-board computers such as Raspberry Pi, it is now possible to integrate a small camera...

["Human-Computer Interaction","Artificial Intelligence","Autonomous Systems","Computer Vision"]
doi:10.7287/peerj.preprints.3410v1
255 downloads
216 views

Several ball tracking algorithms have been reported in literature. However, most of them use high-quality video and multiple cameras, and the emphasis has been on coordinating the cameras or visualizing the tracking results. This paper aims to develop a system...

["Artificial Intelligence","Computer Vision"]
doi:10.7287/peerj.preprints.3402v1
64 downloads
160 views

The process of inferring a full haplotype of a cell is known as haplotyping, which consists in assigning all heterozygous Single Nucleotide Polymorphisms (SNPs) to exactly one of the two chromosomes. In this work, we propose a novel computational method for haplotype...

["Bioinformatics","Computational Biology","Artificial Intelligence","Distributed and Parallel Computing","Optimization Theory and Computation"]
doi:10.7287/peerj.preprints.3246v1
88 downloads
282 views

We present in this article a lightweight ontology named PGxO and a set of rules for its instantiation, which we developed as a frame for reconciling and tracing pharmacogenomics (PGx) knowledge. PGx studies how genomic variations impact variations in drug response...

["Bioinformatics","Artificial Intelligence","Data Mining and Machine Learning","Databases","World Wide Web and Web Science"]
doi:10.7287/peerj.preprints.3140v1
171 downloads
439 views

Acoustic classification of frogs has received increasing attention for its promising application in ecological studies. Various studies have been proposed for classifying frog species, but most recordings are assumed to have only a single species. In this study,...

["Artificial Intelligence","Data Mining and Machine Learning","Multimedia"]
doi:10.7287/peerj.preprints.3007v1
32 downloads
138 views

Three approaches to implement genetic programming on GPU hardware are compilation, interpretation and direct generation of machine code. The compiled approach is known to have a prohibitive overhead compared to other two. This paper investigates methods to accelerate...

["Artificial Intelligence","Distributed and Parallel Computing"]
doi:10.7287/peerj.preprints.2936v1
860 downloads
1,840 views

We present a CUDA based implementation of a decision tree construction algorithm within the gradient boosting library XGBoost. The tree construction algorithm is executed entirely on the GPU and shows high performance with a variety of datasets and settings, including...

["Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.2911v1
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