Peer-reviewed Articles

147 downloads
336 views

Nature-inspired algorithms are based on the concepts of self-organization and complex biological systems. They have been designed by researchers and scientists to solve complex problems in various environmental situations by observing how naturally occurring phenomena...

["Agents and Multi-Agent Systems","Artificial Intelligence","Data Mining and Machine Learning"]
doi:10.7717/peerj-cs.201
99 downloads
386 views

Due to the increasing number of Internet users and the volume of information exchanged by software applications, Internet packet traffic has increased significantly, which has highlighted the need to accelerate the processing required in network systems. Packet...

["Algorithms and Analysis of Algorithms","Computer Networks and Communications"]
doi:10.7717/peerj-cs.204
225 downloads
680 views

Conceptors are a recent development in the field of reservoir computing; they can be used to influence the dynamics of recurrent neural networks (RNNs), enabling generation of arbitrary patterns based on training data. Conceptors allow interpolation and extrapolation...

["Artificial Intelligence","Multimedia"]
doi:10.7717/peerj-cs.205
1 citation
187 downloads
375 views

University employment and, specifically, employability has gained relevance since research in these fields can lead to improvement in the quality of life of individual citizens. However, empirical research is still insufficient to make significant decisions, and...

["Human\u2013Computer Interaction","Software Engineering"]
doi:10.7717/peerj-cs.203
217 downloads
606 views

Background The 2010 reform of the Italian university system introduced the National Scientific Habilitation (ASN) as a requirement for applying to permanent professor positions. Since the CVs of the 59,149 candidates and the results of their assessments have been...

["Data Science","Digital Libraries"]
doi:10.7717/peerj-cs.199
258 downloads
655 views

Word vector representations are a crucial part of natural language processing (NLP) and human computer interaction. In this paper, we propose a novel word vector representation, Confusion2Vec, motivated from the human speech production and perception that encodes...

["Artificial Intelligence","Natural Language and Speech"]
doi:10.7717/peerj-cs.195
2 citations
261 downloads
601 views

This paper is focused on the automatic extraction of persons and their attributes (gender, year of born) from album of photos and videos. A two-stage approach is proposed in which, firstly, the convolutional neural network simultaneously predicts age/gender from...

["Artificial Intelligence","Computer Vision"]
doi:10.7717/peerj-cs.197
139 downloads
465 views

The rise of high-throughput methods in genomic research greatly expanded our knowledge about the functionality of the genome. At the same time, the amount of available genomic position data increased massively, e.g., through genome-wide profiling of protein binding,...

["Bioinformatics","Computational Biology"]
doi:10.7717/peerj-cs.198
149 downloads
562 views

Appropriate embedding transformation of sentences can aid in downstream tasks such as NLP and emotion and behavior analysis. Such efforts evolved from word vectors which were trained in an unsupervised manner using large-scale corpora. Recent research, however,...

["Artificial Intelligence","Natural Language and Speech"]
doi:10.7717/peerj-cs.200
1 citation
279 downloads
660 views

Causality testing methods are being widely used in various disciplines of science. Model-free methods for causality estimation are very useful, as the underlying model generating the data is often unknown. However, existing model-free/data-driven measures assume...

["Adaptive and Self-Organizing Systems","Data Science","Scientific Computing and Simulation"]
doi:10.7717/peerj-cs.196
158 downloads
539 views

Sparse coding aims to find a parsimonious representation of an example given an observation matrix or dictionary. In this regard, Orthogonal Matching Pursuit (OMP) provides an intuitive, simple and fast approximation of the optimal solution. However, its main building...

["Algorithms and Analysis of Algorithms","Artificial Intelligence","Computer Vision","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj-cs.192
159 downloads
558 views

Background Code review is a cognitively demanding and time-consuming process. Previous qualitative studies hinted at how decomposing change sets into multiple yet internally coherent ones would improve the reviewing process. So far, literature provided no quantitative...

["Human-Computer Interaction","Software Engineering"]
doi:10.7717/peerj-cs.193
285 downloads
636 views

The k nearest neighbor (kNN) approach is a simple and effective nonparametric algorithm for classification. One of the drawbacks of kNN is that the method can only give coarse estimates of class probabilities, particularly for low values of k. To avoid this drawback,...

["Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj-cs.194
209 downloads
480 views

The task-based approach has emerged as a viable way to effectively use modern heterogeneous computing nodes. It allows the development of parallel applications with an abstraction of the hardware by delegating task distribution and load balancing to a dynamic scheduler....

["Distributed and Parallel Computing"]
doi:10.7717/peerj-cs.190
357 downloads
651 views

Aspect extraction is a subtask of sentiment analysis that deals with identifying opinion targets in an opinionated text. Existing approaches to aspect extraction typically rely on using handcrafted features, linear and integrated network architectures. Although...

["Artificial Intelligence","Data Mining and Machine Learning","Data Science"]
doi:10.7717/peerj-cs.191

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