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JCell--a Java-based framework for inferring regulatory networks from time series data
2006
Bioinformatics
Preserved Fulltext
Motivation: JCell is a Java-based application for reconstructing gene regulatory networks from experimental data. ...
The framework provides several algorithms to identify genetic and metabolic dependencies based on experimental data conjoint with mathematical models to describe and simulate regulatory systems. ...
To reconstruct regulatory systems, JCell tries to model time series data by finding a topology of the network, together with a mathematical description and the corresponding kinetic parameters of the given ...
doi:10.1093/bioinformatics/btl322
pmid:16782725
fatcat:cysjr32jmbbs7jyibjhnjuqw6y
Memetic search for overlapping topics based on a local evaluation of link communities
2017
Scientometrics
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2017 pre-print arXiv:1702.02808v1 fatcat:p6vzmxkn2vbd7bu5ilckkadxri
Since finding all valid communities is impossible for large networks, we designed a memetic algorithm that combines probabilistic evolutionary strategies with deterministic local searches. ...
In spite of recent advances in field delineation methods, bibliometricians still don't know the extent to which their topic detection algorithms reconstruct 'ground truths', i.e. thematic structures in ...
We thank Andreas Prescher for programming a fast C++-based R-package for parallel node-wise memetic search in the Ψ -landscape and a package for parallel link-wise local search. ...
doi:10.1007/s11192-017-2302-5
fatcat:2r34qhbmqfegto523es6mikbca
2020 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 4
2020
IEEE Transactions on Emerging Topics in Computational Intelligence
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., +, TETCI Aug. 2020 414-416
Genetic algorithms
Community Preserving Network Embedding Based on Memetic Algorithm. ...
., +, TETCI Oct. 2020 630-640
Community Preserving Network Embedding Based on Memetic Algorithm. ...
doi:10.1109/tetci.2020.3042423
fatcat:qj6bpqfey5gpjhqe7zvgg644l4
Optimization Theory, Methods, and Applications in Engineering 2014
2015
Mathematical Problems in Engineering
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Based on the optimal control theory, the steering angle input and the traction/brake force imposed by a driver are the control variables; the minimum time required to complete the fitting biker line change ...
With the advances in computing techniques and the increasing reliance on optimization-based approaches in real applications, optimization techniques have continuously received attention from the practitioners ...
This work contributes to the literature on patrol services and network optimization problems in the following aspects: based on a series of models, a DSS framework is designed for PSCs; the models are ...
doi:10.1155/2015/345858
fatcat:iuuk6jawgbdjvp2oheqoix7tt4
2021 Index IEEE Transactions on Emerging Topics in Computational Intelligence Vol. 5
2021
IEEE Transactions on Emerging Topics in Computational Intelligence
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Modelling Segmented Cardiotocography Time-Series Signals Using 2021 803-812 One-Dimensional Convolutional Neural Networks for the Early Detection Artificial Neural Networks in Action for an Automated Cell-Type ...
., +, TETCI Dec. 2021 931-946 Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. ...
doi:10.1109/tetci.2021.3132405
fatcat:2qvdx2q6p5bstjsdra6h3jltxu
MemeSequencer
2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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In this study, we provide a first step in the systematic study of image evolution on the Internet, by proposing an algorithm based on sparse representations and deep learning to decouple various types ...
In addition to its utility on quantitative tasks, our method opens up the possibility of obtaining the first large-scale understanding of the evolution and propagation of memetic imagery. ...
With large amounts of time-series meme imagery, our embedding technique paves way for the study of systematic evolution of ideas on the Internet. ...
doi:10.1145/3178876.3186021
dblp:conf/www/DubeyMCR18
fatcat:tlrvutylzfgifc26bekkusld7e
MemeSequencer: Sparse Matching for Embedding Image Macros
[article]
2018
arXiv
pre-print
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In this study, we provide a first step in the systematic study of image evolution on the Internet, by proposing an algorithm based on sparse representations and deep learning to decouple various types ...
In addition to its utility on quantitative tasks, our method opens up the possibility of obtaining the first large-scale understanding of the evolution and propagation of memetic imagery. ...
With large amounts of time-series meme imagery, our embedding technique paves way for the study of systematic evolution of ideas on the Internet. ...
arXiv:1802.04936v1
fatcat:ratefwcsgfh45c6fhynb2gta44
Multiscale Backcast Convolution Neural Network for Traffic Flow Prediction in The Frequency Domain
2022
Applied Sciences
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We capitalize on this notion and propose a multiscale convolutional feedback network for frequency prediction based on frequency angle. ...
Because traffic depends on the time of the day and varies throughout the week, such as during peak commuting periods as opposed to other times, traffic flow data show evident cyclical patterns. ...
network that is also based on the frequency domain. ...
doi:10.3390/app122311912
fatcat:a7pkqwkdwfhibnal4meynmgue4
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach
[article]
2019
arXiv
pre-print
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Comparative computational results using a memetic algorithm are reported in this work. ...
The comparison on training and test generalization was performed using 94 datasets of the Penn State Machine Learning Benchmark. ...
In terms of running time, our approach with GP-based methods, the memetic algorithm exhibited better performances compared against all of the GP-based methods. ...
arXiv:2001.00624v1
fatcat:kqrkdvodmbewfg362z3lfterhe
Remixing AIs: mind swaps, hybrainity, and splicing musical models
2020
Zenodo
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Layers from multiple networks may be swapped and interpolated, from single units to complete layers. ...
Figure 2 demonstrates the effect on reconstruction scores (MSE) on moving from model 1 to model 2, tested via model 1 data. Figure 3 does the same with model 2 to model 1 over model 2 data. ...
As a potential use case, we have extended our work for the real-time control of generative audio sample synthesis using LSTMs, and combined it with a new real-time image synthesiser based on the Progressive ...
doi:10.5281/zenodo.4285380
fatcat:k3xsw2jng5exzpv3kcyipmbjke
A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition
2020
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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From computer and telecommunication networks to road networks and power grids, networks make up many crucial pieces of infrastructure that we interact with on a daily basis. ...
If one of these networks receives too much damage, it may be rendered inoperable, which can have disastrous consequences. For this reason, ...
In a local search, the algorithm only examines a single solution at a time, selecting the next solution to examine based on the current selection [37] . ...
doi:10.1109/smc42975.2020.9283269
fatcat:4fjkf7l2mjhe7gqd774pghwuhe
Firefly-Based Approaches of Image Recognition
2020
Symmetry
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Both algorithms use fitness function based on mutual information (MI) to direct the exploration toward an appropriate candidate solution. ...
We introduce two new evolutionary algorithms (EA) consisting of population-based search methods, followed by or combined with a local search scheme. ...
The memetic algorithm, based on the proposed variant of FA and the 2M-ES local search, is described as follows (Algorithm 4). ...
doi:10.3390/sym12060881
fatcat:cw2hr27xvbav3j3sqg66fgyam4
Co-evolutionary multi-task learning for dynamic time series prediction
[article]
2018
arXiv
pre-print
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Time series prediction typically consists of a data reconstruction phase where the time series is broken into overlapping windows known as the timespan. ...
The effectiveness of the method is demonstrated using one-step-ahead chaotic time series and tropical cyclone wind-intensity prediction. ...
With help of gradient-based local search methods, convergence of CMTL can be improved via memetic algorithms where local refinement occurs during the evolution [99] . ...
arXiv:1703.01887v2
fatcat:g4rpkmhcmbckbokt5asruh5lo4
Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs
2012
2012 IEEE Congress on Evolutionary Computation
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The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals. ...
A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution. ...
Algorithm Based on Semantic Networks 661, B. ...
doi:10.1109/cec.2012.6256590
dblp:conf/cec/RotaruB12
fatcat:4ly3nrktw5habc6lf5err7d5py
Topics as Clusters of Citation Links to Highly Cited Sources: The Case of Research on International Relations
[article]
2020
arXiv
pre-print
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Clusters of citation links between papers in a political-science subfield (International Relations) and 300 of their sources most cited in the period 2006-2015 are constructed by a local memetic algorithm ...
The clusters obtained are well separated from the rest of the network but can have suboptimal cohesion. ...
In that paper, a new evaluation function for link clusters, Ψ, and a local memetic algorithm for link clustering based on this function, PsiMinL, were proposed and tested for two kinds of citation networks ...
arXiv:2007.15254v2
fatcat:kfalkftvcncsjo5xcmssvvgopa
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