Simplicial map neural networks (SMNNs) are topology-based neural networks with interesting properties such as universal ...

Nowadays, Artificial Intelligence covers an increasingly number of areas both in the scientific field and in everyday life, ...

Local InterpretableModel-Agnostic Explanations (LIME) is awell-known approach to provide local interpretability to Machine ...

Inception module is one of the most used variants in convolutional neural networks. It has a large portfolio of success ...

Intracranial hemorrhage is a serious medical problem that requires rapid and often intensive medical care. Identifying the ...

Local Interpretable Model-Agnostic Explanations (LIME) are a well-known approach to provide local interpretability to ...

Machine learning, and neural networks in particular, have become a very useful resource for solving problems such as ...

One of the main drawbacks of the practical use of neural networks is the long time required in the training process. Such ...

Evolutionary Game Theory studies the spreading of strategies in populations. An important question of the area concerns ...

Allergic diseases are increasing around the world with unprecedented complexity and severity. One of the reasons is that ...

Broadly speaking, an adversarial example against a classification model occurs when a small perturbation on an input data ...

Machine learning is drawn from a dataset that needs to be explained. Following this aim, a model is described to make ...

Simplicial-map neural networks are a recent neural network architecture induced by simplicial maps defined between simplicial ...

During last years the application of deep learning techniques has changed our lives from banking operations to medical ...

It is well-known that artificial neural networks are universal approximators. The classical existence result proves that, ...

The optimization of hyperparameters in Deep Neural Net-works is a critical task for the final performance, but it involves ...

Nowadays, the success of neural networks as reasoning systems is doubtless. Nonetheless, one of the drawbacks of such ...

One of the main drawbacks of the practical use of neural networks is the long time needed in the training process. Such ...

Self-reconfigurable robots are built by modules which can move in relationship to each other, which allows the robot ...

The canon of the baroque Spanish literature has been thoroughly studied with philological techniques. The major representatives ...

It is well known that Artificial Neural Networks are universal approximators. The classical result proves that, given a ...

Membrane computing is a well-known research area in computer science inspired by the organization and behavior of live ...

It is well-known the huge Mario’s contribution to the development of Membrane Computing. Many researchers may relate his ...

El objetivo del presente estudio es resaltar la importancia de las máquinas de vector soporte, conjunto de técnicas de ...

The integration of symbolic reasoning systems based on logic and connectionist systems based on thefunctioning of living ...

Neural networks present big popularity and success in many fields. The large training time process problem is a very ...

The 3-COL problem consists on deciding if the regions of a map can be coloured with only three colors bearing in mind that ...

Self-reconfigurable robots are robots built by modules which can move in relationship to each other. This ability of ...

The ability of tissue P systems with 2-division for solving NP problems in polynomial time is well-known and many solutions ...

In this paper, we present a bio-inspired parallel implementation of a solution of the problem of looking for the representative ...

This paper presents a fully automatic parallel software for the localization of the optic disc (OD) in retinal fundus color ...

The integration of symbolic reasoning systems based on logic and connectionist systems based on the functioning of living ...

The application of Membrane Computing techniques to the study of digital images has been a vivid research area in the last ...

The 3-COL problem consists on deciding if the regions of a map can be coloured with only three colors bearing in mind that ...

The use of negative information provides a new tool for exploring the limits of P systems as computational devices. In ...

In this paper, we consider recognizer P systems with antimatter and the in uence of the matter/antimatter annihilation ...

Pole balancing is a control benchmark widely used in engineering. It involves a pole a xed to a cart via a joint which ...

The set of NP-complete problems is split into weakly and strongly NP- complete ones. The di erence consists in the in uence ...

It is well known that polarizationless recognizer P systems with active membranes, without dissolution, with division of ...

In Membrane Computing, the solution of a decision problem X belonging to the complexity class P via a polynomially uniform ...

Usually, the changes produced in the membrane structure of a P system are considered side effects. The output of the ...

It is well known that the polynomial complexity class of recognizer polarizationless P systems with active membranes, ...

In Membrane Computing, the solution of a decision problem X belonging to the complexity class P via a polynomially uniform ...

The problem of automatically marking the interior and exterior regions of a simple curve in a digital image becomes a hard ...

We prove that every single-tape deterministic Turing machine working in t(n) t(n) time, for some function t:N→N t:N→N , ...

The skeletonization of an image consists of converting the initial image into a more compact representation. In general, ...

Skeletonization is a common type of transformation within image analysis. In general, the image B is a skeleton of the ...

In this paper, we present a parallel implementation of a new algorithm for segmenting images with gradient-based edge ...

In this paper, we report a pioneer study of the decrease in chlorophyll uorescence produced by the reduction of MTT (a ...

The Rete algorithm is a well-known algorithm in rule-based production systems which builds directed acyclic graphs that ...

The Rete algorithm is a well-known pattern matching algorithm conceived to make rule-based production system implementa ...

In this paper, we report a pioneer study of the decrease in chlorophyll fluorescence produced by the reduction of MTT (a ...

Skeletonizing an image is representing a shape with a small amount of information by converting the initial image into a ...

Counting the number of cells obtained in an experiment is crucial in many areas in Biology. Nonetheless, this is usually ...

This paper develops a membrane-inspired evolutionary algorithm, PSMA, which is designed by using a population P system and ...

In this paper we present a new software tool for dealing with the problem of segmentation in Digital Imagery. The ...

Recent developments of computer architectures together with alternative formal descriptions provide new challenges in the ...

Effective Homology is an algebraic-topological method based on the computational concept of chain homotopy equivalence on ...

In this paper, we show a new example of bridging Algebraic Topology, Membrane Computing and Digital Images. In [24], a new ...

The hand-made graphical representation of the configuration of a P system becomes a hard task when the number of membranes ...

The usual way to find a solution for an NP complete problem in Membrane Computing is by brute force algorithms. These ...

Smoothing is often used in Digital Imagery to reduce noise within an image. In this paper we present a Membrane Computing ...

On the one hand, one of the concepts which lies at the basis of membrane computing is the multiset rewriting rule. On the ...

Local search is currently one of the most used methods for finding solution in real-life problems. In this paper we present ...

In this paper we report a work-in-progress whose final target is the implementation of tissue-like P system in a cluster ...

In this paper we present a parallel algorithm to solve the thresholding problem by using Membrane Computing techniques. ...

Problems associated with the treatment of digital images have several interesting features from a bio-inspired point of ...

This short note proposes some ideas for considering evolutionary game theory in the area of membrane computing

Smoothing is often used in Digital Imagery for improving the quality of an image by reducing its level of noise. This paper ...

Local search is currently one of the most used methods for finding solutions in real-life problems. It is usually considered ...

At the beginning of 2005, Gheorghe Pun formulated a conjecture stating that in the framework of recognizer P systems with ...

Segmentation in computer vision refers to the process of partitioning a digital image into multiple segments (sets of ...

In this paper we present a P systems-based solution for the Homology Groups of Binary 2D Image (HGB2I) Problem, a classical ...

We present a new solution for the Homology Groups of Binary 2D Image (HGB2I) Problem by using Membrane Computing techniques. ...

The usual way to find a solution for a NP complete problem with Membrane Computing techniques is by brute force algorithms ...

Sudoku is a very popular puzzle which consists on placing several numbers in a squared grid according to some simple rules. ...

The process of designing a P system in order to perform a task is a hard job. The researcher has often only an approximate ...

Thresholding is the process of splitting a digital image into sets of pixels in order to make it easier to analyze. Pixels ...

In this paper we present a tissue-like P systems model with cell division the environment has been replaced by an extra ...

P systems are computational devices versatile enough to represent many real-life scenarios. In this paper, we present a ...

Array grammars have been studied in the framework of Membrane Comput- ing by using rewriting rules from transition P ...

Sudoku is a very popular puzzle which consists on placing several numbers in a squared grid according to some simple rules. ...

Tissue-like P systems with cell division is a computing model in the framework of membrane computing that is based on the ...

Membrane Computing is a computational model inspired in the structure and function of living cells and tissues. In this ...

In this paper we address the problem of describing the complexity of the evolution of a tissue-like P system with cell ...

Searching all the configurations C′ such that produce a given configuration C, or, in other words, computing backwards in ...

We consider spiking neural P systems as devices which can be used to perform some basic arithmetic operations, namely ...

We consider spiking neural P systems as devices which can be used to perform some basic arithmetic operations, namely ...

Cell-like recognizing membrane systems are computational devices in the framework of membrane computing inspired from the ...

Tissue-like P systems with cell division is a computing model in the framework of Membrane Computing inspired by the ...

Spiking neural P systems and artificial neural networks are computational devices which share a biological inspiration ...

The N-queens puzzle consists on placing N queens on an N x Ngrid in such way that no two queens are on the same row, column ...

In this paper, we describe a new representation for deterministic rational-valued P systems that allows us to form a bridge ...

Searching all the configurations C′ which produce a given configuration C is an extremely hard task. The current approximations ...

Sevilla Carpets are a handy tool for comparing computations performed by different systems solving the same problem. Such ...

Ballistic Deposition was proposed by Vold [10] and Sutherland [9] as a model for colloidal aggregation. These early works ...

Several examples of the efficiency of cell-like P systems regarding the solution of NPcomplete problems in polynomial time ...

Tissue-like P systems with cell division is a computing model in the framework of Membrane Computing that shares with the ...

Tissue-like P systems with cell division is a computing model in the framework of membrane computing based on the intercellular ...

Spiking neural P systems and artificial neural networks are computational devices which share a biological inspiration ...

Brownian motion refers to erratic movements of small particles of solid matter suspended in a fluid and it is the basis ...

The hand-made graphical representation of the configuration of a P system becomes a hard task when the number of membranes ...

The formal verification of a Spiking Neural P System (SN P Systems, for short) designed for solving a given problem is ...

Recently we have considered the possibility of using spiking neural P systems for solving computationally hard problems, ...

Recently the possibility of using spiking neural P systems for solving computationally hard problems has been considered. ...

In the literature, several designs of P systems might be found for performing the same task. The use of different techniques ...

In the literature, several examples of the efficiency of cell-like P systems regarding the solution of NPcomplete problems ...

Ballistic Deposition was proposed by Vold and Sutherland as a model for colloidal aggregation. These early works were later ...

In living cells, new membranes are produced basically through two processes: mitosis and autopoiesis. These two processes have ...

Software simulators for P system are nowadays the main tool to carry out experiments in the eld of Membrane Computing. ...

The aim of our paper is twofold. On one hand we prove the ability of polar- izationless P systems with dissolution and ...

Tissue P systems are a computing model in the framework of Membrane Computing where the tree-like membrane structure is ...

Tissue P systems with cell division is a computing model in the framework of Membrane Computing based on intercellular ...

The aim of our paper is twofold. On one hand we prove the ability of polarizationless P systems with dissolution and with ...

In this paper we discuss the potential usefulness of membrane systems as tools for modelling tumours. The approach is ...

Trading (in polynomial time) space for time in the framework of membrane systems is not sufficient to efficiently solve ...

L systems have been widely used to model and graphically represent the growth of higher plants [20]. In this paper we ...

In this paper we show that the massive parallelism, the synchronous appli- cation of the rules, and the discrete nature ...

Membrane Computing and Brane Calculi are two recent computational paradigms in the framework of Natural Computing. They ...

In this paper we discuss about the potential usefulness of P systems as natural tools for modelling tumours. This is done ...

The simulation of a P system with current computers is a quite com-plex task. P systems are intrinsically nondeterministic ...

The usefulness of P systems with membrane creation for solving NP problems has been previously proved (see [2, 3]), but, ...

In the literature, several examples of the efficiency of cell-like P systems in order to solve NP-complete problems in ...

In this paper we study membrane dissolution rules in the framework of P systems with active membranes but without using ...

The aim of this paper is to start an investigation and a comparison of the expressiveness of the two most relevant formalisms ...

Most of the variants of membrane systems found in the literature are generally thought as generating devices. In this paper ...

The aim of this paper is to start an investigation and a comparison of the expressiveness of the two most relevant formalisms ...

In the literature, several designs of P systems were used for performing the same task. The use of different techniques ...

L-systems have been widely used to model and graphically represent the growth of plants. In, the use of membrane computing ...

In this paper we present a polynomial complexity class in the framework of membrane computing. In this context, and using ...

Current P systems which solve NP-complete numerical problems represent the instances of the problems in unary notation. ...

Usually, the evolution of a P system generates a computation tree too large to be efficiently handled with present–day ...

Membrane Computing is a branch of Natural Computing which starts from the assumption that the processes taking place in ...

This paper analyzes the role that membrane dissolution rules play in order to characterize (in the framework of recognizer ...

Software simulators for P system are nowadays the main tool to carry out experiments in the field of Membrane Computing. ...

We study the computational efficiency of recognizer P systems with active membranes without polarizations and without ...

In this paper we address the problem of describing the complexity of the evolution of a P system. This issue is is specially ...

Numerical problems are not very frequently addressed in the P systems literature. In this paper we present an effective ...

Membrane Computing is a branch of Natural Computing which starts from the assumption that the processes taking place in ...

Tumor growth has received a considerable attention by the scientific community. In the earliest stages of development, ...

This chapter is devoted to the study of numerical NP-complete problems in the framework of cellular systems with membranes, ...

Membrane Computing is a branch of Natural Computing which starts from the assumption that the processes taking place in ...

In a general sense, Logic studies how to derive new pieces of in- formation from previous ones. In this paper we explore ...

Esta memoria está estructurada en capítulos cuyos contenidos pasamos a describir sucintamente. En el Capítulo 1 se hace ...

In this paper we present an implementation in Prolog of an effective solution to the Knapsack problem via a family of deterministic P systems with active membranes using 2-division.

Several solutions to hard numerical problems using P systems have been presented recently, and strong similarities in their ...

In this paper we propose a new way to represent P systems with active membranes based on Logic Programming techniques. ...

The evolution of a P system generates a tree of computation po- tentially in¯nite where it is very difficult to set the ...

Numerical problems are not very frequently addressed in the P sys- tems literature. In this paper we present an e®ective ...

In computational processes based on backwards chaining, a rule of the type A Ã B1; : : : ;Bn is seen as a procedure which ...

Classical database management can be flawed if the Knowledge database is built within a complex Knowledge Domain. We ...

In this paper we present a class of operators for Machine Learning based on Logic Programming which represents a ...

Classical database management can be flawed if the Knowledge database is built within a complex Knowledge Domain. We ...

"En esta memoria hemos estudiado los procesos de generalización, el paso de lo particular a lo general, cuando la información ...

In environments with complex cognitive structure (such as semantic web or sophisticated spatial databases for geographical ...

The subsumption relation is crucial in the Machine Learning systems based on a clausal representation. In this paper we ...