Preprints (not yet peer-reviewed)

10 downloads
24 views

Tags are evolvable labels that provide genetic programs a flexible mechanism for specification. Tags are used to label and refer to programmatic elements, such as functions or jump targets. However, tags differ from traditional, more rigid methods for handling...

["Adaptive and Self-Organizing Systems","Artificial Intelligence"]
doi:10.7287/peerj.preprints.27122v1
10 downloads
35 views

Remote homology detection is the problem of detecting homology in cases of low sequence similarity. It is a hard computational problem with no approach that works well in all cases. Methods based on profile hidden Markov models (HMM) often exhibit relatively higher...

["Bioinformatics","Artificial Intelligence","Data Mining and Machine Learning","Data Science"]
doi:10.7287/peerj.preprints.27111v1
82 downloads
216 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
315 downloads
618 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
44 downloads
95 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
75 downloads
141 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
243 downloads
276 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
334 downloads
478 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
92 downloads
211 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
417 downloads
457 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
669 downloads
1,664 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
247 downloads
1,578 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
150 downloads
271 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
465 downloads
297 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
98 downloads
246 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
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