Preprints (not yet peer-reviewed)

52 downloads
148 views

The optimal selection of a natural reserve (OSRN) is an optimisation problem with a binary domain. To solve this problem the metaheuristic algorithm Particle Swarm Optimization (PSO) has been chosen. The PSO algorithm has been designed to solve problems in real...

["Adaptive and Self-Organizing Systems","Algorithms and Analysis of Algorithms","Artificial Intelligence","Autonomous Systems","Optimization Theory and Computation"]
doi:10.7287/peerj.preprints.26941v2
183 downloads
395 views

We propose a simple neural network model which can learn relation between sentences by passing their representations obtained from Long Short Term Memory(LSTM) through a Relation Network. The Relation Network module tries to extract similarity between multiple...

["Artificial Intelligence","Data Science","Natural Language and Speech"]
doi:10.7287/peerj.preprints.26847v2
31 downloads
72 views

We introduce SignalGP, a technique for creating digital organisms that harnesses the event-driven programming paradigm. These organisms can evolve to automatically react to signals from the environment or from other agents in a biologically-inspired manner. In...

["Adaptive and Self-Organizing Systems","Agents and Multi-Agent Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.26921v1
56 downloads
125 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
167 downloads
249 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
229 downloads
419 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
88 downloads
203 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
363 downloads
394 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
592 downloads
1,580 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
232 downloads
1,531 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
133 downloads
257 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
373 downloads
284 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
74 downloads
213 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
109 downloads
351 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
213 downloads
483 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
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