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resulting result increase improved to metabolism. capability desired is The predictive understanding of in
The desired result is to increase predictive capability resulting in improved understanding of metabolism.
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also implemented FALCON of Toolbox, in MATLAB. requires COBRA the use
FALCON requires use of the COBRA Toolbox, also implemented in MATLAB.
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Online area years. become feature features an selection in with dynamic active has recent research
Online feature selection with dynamic features has become an active research area in recent years.
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intra-group consists selection. inter-group and stages: approach online Our selection proposed online of two
Our proposed approach consists of two stages: online intra-group selection and online inter-group selection.
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selection, we of to subset the use In inter-group globally optimal Lasso features. select a
In the inter-group selection, we use Lasso to select a globally optimal subset of features.
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Dempster-Shafer tool fusion. information is in powerful a evidence theory
Dempster-Shafer evidence theory is a powerful tool in information fusion.
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presented. are results be conflicting, counter-intuitive will highly the the When evidence
When the evidence are highly conflicting, the counter-intuitive results will be presented.
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to Dempster's The is rule used evidence. the combine new combination
The Dempster's combination rule is used to combine the new evidence.
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existing method is with proposed the the Comparing methods, new efficient.
Comparing with the existing methods, the new proposed method is efficient.
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weighted edges the term. and implements infinite a smoothness set non-terminal Furthermore, of
Furthermore, a set of infinite weighted and non-terminal edges implements the smoothness term.
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of is segmentation the determined Subsequently, source-set. result out the
Subsequently, the segmentation result is determined out of the source-set.
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solutions In by efficiently dynamic be programming. satisfactory this way, can computed
In this way, satisfactory solutions can be efficiently computed by dynamic programming.
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the our show Experimental two approach. benchmark datasets of results performance state-of-the-art on
Experimental results on two benchmark datasets show the state-of-the-art performance of our approach.
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oscillations . herbivory, stage-structure, insects, Keywords: pollination, Abstract mutualism,
Abstract Keywords: mutualism, pollination, herbivory, insects, stage-structure, oscillations .
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those policies previous which it of produces methods, Additionally, such LSPI. as outperform
Additionally, it produces policies which outperform those of previous methods, such as LSPI.
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arises behavioural many interplay through of a different complicated features. It
It arises through a complicated interplay of many different behavioural features.
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notions in depth important analysis. data are regions Tukey nonparametric multivariate
Tukey depth regions are important notions in nonparametric multivariate data analysis.
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very are algorithms practically but available, slow. Feasible
Feasible algorithms are available, but practically very slow.
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ones. that Data the runs indicate proposed algorithm examples the much faster than existing
Data examples indicate that the proposed algorithm runs much faster than the existing ones.
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ecology of Identifying the and in climate critical research change conservation. for effects is future
Identifying the effects of climate change is critical for future research in ecology and conservation.
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an focus paper. reconstruction to method this referred Bayesian in on We interpolation
We focus on an interpolation method referred to Bayesian reconstruction in this paper.
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topic is important systems (GRNs) gene networks in regulatory Modeling biology. an
Modeling gene regulatory networks (GRNs) is an important topic in systems biology.
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we of core large GRNs. motifs for the dynamic that Then the searched govern behavior
Then we searched for the core motifs that govern the dynamic behavior of large GRNs.
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provide design networks. study and insights of Our genetic for results the
Our results provide insights for the study and design of genetic networks.
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better and enabling advances methodological and of are processes extinction patterns. Recent speciation examination
Recent methodological advances are enabling better examination of speciation and extinction processes and patterns.
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affect Yet it and differences seems the lineages mass same that groups. extinctions both probable
Yet it seems probable that both lineages differences and mass extinctions affect the same groups.
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we shifts are find lineage extinctions. Overall, detected that than better mass
Overall, we find that lineage shifts are better detected than mass extinctions.
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al. presented and (Dai algorithm et TurKontrol, in
TurKontrol, and algorithm presented in (Dai et al.
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TurKPF perform TurKontrol of that and see series experiments we a Through similarly.
Through a series of experiments we see that TurKPF and TurKontrol perform similarly.
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then hypotheses of for restraint. classical We consider the evolution
We then consider classical hypotheses for the evolution of restraint.
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to use same concepts. for ontologies different tend same different Two terms knowledge the assimilating
Two different ontologies assimilating same knowledge tend to use different terms for the same concepts.
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which works technique used core system. have the graph the at matching We a of
We have used a graph matching technique which works at the core of the system.
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relies bulk different which nucleic properties acid exhibits BOINC, from sequencing. FISSEQ-BOINC on
FISSEQ-BOINC exhibits different properties from BOINC, which relies on bulk nucleic acid sequencing.
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rich with could annotations. a FISSEQ-BOINC scalable molecular for approach connectomes whole-mammalian-brain mapping become
FISSEQ-BOINC could become a scalable approach for mapping whole-mammalian-brain connectomes with rich molecular annotations.
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and are physical governed fluxes Metabolic economic by principles.
Metabolic fluxes are governed by physical and economic principles.
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penalise To larger methods terms. some prediction heuristic flux by fluxes cost capture this,
To capture this, some flux prediction methods penalise larger fluxes by heuristic cost terms.
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from must lead Generally, fluxes to economic potentials. lower higher
Generally, fluxes must lead from lower to higher economic potentials.
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analysis. complement can thermodynamic flux constraints, and resembles stationarity thermodynamic in This principle, which constraints
This principle, which resembles thermodynamic constraints, can complement stationarity and thermodynamic constraints in flux analysis.
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Enzymes of potential in likely that modes targets participate are regulation. futile
Enzymes that participate in potential futile modes are likely targets of regulation.
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interest constraints. there information growing with Recently, has been modeling planning in a
Recently, there has been a growing interest in modeling planning with information constraints.
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method global solution is thus and efficient. The the proposed gives analytically computationally
The proposed method gives the global solution analytically and thus is computationally efficient.
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the existing method that results methods. clustering further outperforms proposed Experimental indicate
Experimental results further indicate that the proposed method outperforms existing clustering methods.
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examples. give describe reference of desirable properties structures the Here we and
Here we describe the desirable properties of reference structures and give examples.
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produces that results burden. The results EP show comparable less computational with
The results show that EP produces comparable results with less computational burden.
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Metabolic a systems compromise cost. between metabolic enzyme benefit and governed by are
Metabolic systems are governed by a compromise between metabolic benefit and enzyme cost.
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is lagging. models these networks study general more analytical However, of Boolean
However, analytical study of these more general Boolean networks models is lagging.
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In addition, exists between and knowledge $\mathcal{ALC}$+T$^+_{\mathsf{min}}$ we connection close concept-circumscribed the that bases. show
In addition, we show the close connection that exists between $\mathcal{ALC}$+T$^+_{\mathsf{min}}$ and concept-circumscribed knowledge bases.
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in reasoning the we Finally, study the tasks complexity deciding classical $\mathcal{ALC}$+T$^+_{\mathsf{min}}$. of
Finally, we study the complexity of deciding the classical reasoning tasks in $\mathcal{ALC}$+T$^+_{\mathsf{min}}$.
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Where, when remains this integration performed is and unclear. how
Where, when and how this integration is performed remains unclear.
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clustering area an data important mining. Data of is
Data clustering is an important area of data mining.
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means very on Fuzzy C logic. fuzzy a based is clustering technique important
Fuzzy C means is a very important clustering technique based on fuzzy logic.
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have techniques clustering we K-means like popular hard some Also available among ones. the
Also we have some hard clustering techniques available like K-means among the popular ones.
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vision in recognition for field is Activity computer sport attractive an research.
Activity recognition in sport is an attractive field for computer vision research.
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single with emphasis activities recognition on paper of volleyball. describes player in sport This special
This paper describes recognition of single player activities in sport with special emphasis on volleyball.
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neuroscience. established becoming more approaches modeling are ever Mathematical in clinical Background:
Background: Mathematical modeling approaches are becoming ever more established in clinical neuroscience.
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Our approach measure interaction of information the on relies (II).
Our approach relies on the measure of interaction information (II).
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Filters Correlation accurate a localization. for designed pattern which of are (CFs) classifiers class are
Correlation Filters (CFs) are a class of classifiers which are designed for accurate pattern localization.
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multi-spectral (Meteosat zones data by Second Generation). exploiting satellite these implemented is of Correction
Correction of these zones is implemented by exploiting multi-spectral satellite data (Meteosat Second Generation).
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two metaheuristic for This the presents algorithms article CluVRP. hybrid alternative
This article presents two alternative hybrid metaheuristic algorithms for the CluVRP.
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choices cluster average size. on promising algorithm to relatively are Recommendations provided
Recommendations on promising algorithm choices are provided relatively to average cluster size.
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Recent much by works low attract attention. sparse representation extensions using representation, rank their and
Recent works by using sparse representation, low rank representation and their extensions attract much attention.
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their among are functions. objective differences main them The
The main differences among them are their objective functions.
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orthogonal. sampling be can the Furthermore, data are if the subspaces insufficient
Furthermore, the data sampling can be insufficient if the subspaces are orthogonal.
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special cases. all are methods Some existing
Some existing methods are all special cases.
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present subspace segmentation. Regression Squares the method Least we for Then (LSR)
Then we present the Least Squares Regression (LSR) method for subspace segmentation.
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It is advantage which data data. common in takes real of correlation,
It takes advantage of data correlation, which is common in real data.
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together. tends effect encourages grouping which a group data LSR correlated highly to
LSR encourages a grouping effect which tends to group highly correlated data together.
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accuracy, more experiments much Beyond all efficient. that LSR segmentation demonstrate is
Beyond segmentation accuracy, all experiments demonstrate that LSR is much more efficient.
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mechanical of the waves potentials. complicated of than those movements The were evoked more
The waves of mechanical movements were more complicated than those of the evoked potentials.
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The the in electrical mechanical stimulation mechanisms propagated of discussed. brain by movements are
The mechanisms of mechanical movements propagated in the brain by electrical stimulation are discussed.
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technological architectural feature Bow-tie and common a or biological found networks. in hourglass is structure
Bow-tie or hourglass structure is a common architectural feature found in biological and technological networks.
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bow-tie is Little how however, evolve. architectures about known,
Little is known, however, about how bow-tie architectures evolve.
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robustly These lead conditions bow-tie structures. to
These conditions robustly lead to bow-tie structures.
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(FACS); action information; action detection; unit system relative coding Keywords: . temporal facial facial
Keywords: facial action coding system (FACS); relative facial action unit detection; temporal information; .
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than exception, were With less compounds potent WIN. significantly against one the CIT
With one exception, the compounds were significantly less potent against CIT than WIN.
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State-of-the-art lower-bound scenarios for methods of problems estimation generate batches the SAA independently. for
State-of-the-art methods for lower-bound estimation generate batches of scenarios for the SAA problems independently.
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liquid-air The and applied method can to recognition liquid-liquid surfaces. both be of
The method can be applied to recognition of both liquid-air and liquid-liquid surfaces.
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number the of knowledge No is phases prior required. of
No prior knowledge of the number of phases is required.
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requires travel the CM-NPC-DNA Development messenger ligands sites. from to binding target
Development requires messenger ligands to travel from the CM-NPC-DNA target binding sites.
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maximum approaches Thus non-equilibrium, condition life. information for one
Thus maximum information approaches non-equilibrium, one condition for life.
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were in Introgressions detected Neanderthals from modern and Denisovans humans.
Introgressions from Neanderthals and Denisovans were detected in modern humans.
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history among admixture suggested hominins. Above complex a results
Above results suggested a complex admixture history among hominins.
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could approach The proposed research species. facilitate across also admixture
The proposed approach could also facilitate admixture research across species.
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morphology of providing a graphs. anthology at survey on This "literary" paper aims mathematical
This survey paper aims at providing a "literary" anthology of mathematical morphology on graphs.
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and Under is inconsistent. information knowledge the everything is standard if entailed semantics two-valued
Under the standard two-valued semantics everything is entailed if knowledge and information is inconsistent.
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logic offers of LP the semantics paraconsistent a The solution.
The semantics of the paraconsistent logic LP offers a solution.
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three-valued Preferring difference. eliminates interpretations this conflict-minimal
Preferring conflict-minimal three-valued interpretations eliminates this difference.
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paper To the argumentation an proposes handle non-monotonicity, this assumption-based system.
To handle the non-monotonicity, this paper proposes an assumption-based argumentation system.
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the branches of tableaux a Assumptions arguments. needed form close semantic to
Assumptions needed to close branches of a semantic tableaux form the arguments.
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modelling Deontic shown reasoning. human is logic to be applicable for
Deontic logic is shown to be applicable for modelling human reasoning.
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discussed detail. task in the this For task and selection Wason are suppression the
For this the Wason selection task and the suppression task are discussed in detail.
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of Most the (e.g. recovery fixed of approaches, a conventional CS exploited however, bases set
Most of the conventional CS recovery approaches, however, exploited a set of fixed bases (e.g.
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resulting quantiza-tion the (SQ). is residual Then, scalar processed by
Then, the resulting residual is processed by scalar quantiza-tion (SQ).
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are studied AI. the argumentation frameworks most of formalisms in one (AFs) Abstract
Abstract argumentation frameworks (AFs) are one of the most studied formalisms in AI.
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certain this a call work, of subclass which compact. we we In AFs introduce
In this work, we introduce a certain subclass of AFs which we call compact.
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controllers are generic, application-specific. Logics are whereas
Logics are generic, whereas controllers are application-specific.
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nonetheless, an does, for Every nonmonotonic controller algorithm revision. belief provide
Every controller does, nonetheless, provide an algorithm for nonmonotonic belief revision.
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conventional CS set (e.g. however, a fixed bases recovery exploited approaches, Most of of
Most of conventional CS recovery approaches, however, exploited a set of fixed bases (e.g.
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with the a model Dead. consider B compartments: three-state we A, and Here
Here we consider a three-state model with the compartments: A, B and Dead.
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develop We model. Methods: simplifies an equation the three-state of that the use
Methods: We develop an equation that simplifies the use of the three-state model.
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