
DiagSet: a dataset for prostate cancer histopathological image classification
Cancer diseases constitute one of the most significant societal challeng...
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RBCCR: RadialBased Combined Cleaning and Resampling algorithm for imbalanced data classification
Realworld classification domains, such as medicine, health and safety, ...
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Multiswarm PSO algorithm for the Quadratic Assignment Problem: a massive parallel implementation on the OpenCL platform
This paper presents a multiswarm PSO algorithm for the Quadratic Assign...
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Massivelyconcurrent Agentbased Evolutionary Computing
The fusion of the multiagent paradigm with evolutionary computation yie...
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The observerassisted method for adjusting hyperparameters in deep learning algorithms
This paper presents a concept of a novel method for adjusting hyperpara...
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Formal analysis of HTM Spatial Pooler performance under predefined operation conditions
This paper introduces mathematical formalism for Spatial (SP) of Hierarc...
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Complexity of Shift Bribery in Committee Elections
We study the (parameterized) complexity of SHIFT BRIBERY for multiwinner...
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Combining Fuzzy Cognitive Maps and Discrete Random Variables
In this paper we propose an extension to the Fuzzy Cognitive Maps (FCMs)...
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Elections with Few Voters: Candidate Control Can Be Easy
We study the computational complexity of candidate control in elections ...
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A Note on Systematic Conflict Generation in CAENtype Causal Structures
This paper is aimed at providing a very first, more "global", systematic...
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Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity
This paper examines the performance of a Spatial Pooler (SP) of a Hierar...
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Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal
The paper concerns selected rule modularization techniques. Three visual...
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Detection of elliptical shapes via crossentropy clustering
The problem of finding elliptical shapes in an image will be considered....
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LSTM Network for Inflected Abbreviation Expansion
In this paper, the problem of recovery of morphological information lost...
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Improving text classification with vectors of reduced precision
This paper presents the analysis of the impact of a floatingpoint numbe...
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Binary Paragraph Vectors
Recently Le & Mikolov described two loglinear models, called Paragraph ...
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Multiwinner Elections with Diversity Constraints
We develop a model of multiwinner elections that combines performanceba...
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Influence of a range of interaction among agents on efficiency and effectiveness of knowledge transfer within an organisation
In this study we examined how the size of nonformal groups between orga...
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Searching for effective and efficient way of knowledge transfer within an organization
In this paper three models of knowledge transfer in organization are con...
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Robustness Among Multiwinner Voting Rules
We investigate how robust are results of committee elections to small ch...
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Model of knowledge transfer within an organisation
Many studies show that the acquisition of knowledge is the key to build ...
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FPGA implementation of the procedures for video quality assessment
Video resolutions used in variety of media are constantly rising. While ...
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Towards coevolution of fitness predictors and Deep Neural Networks
Deep neural networks proved to be a very useful and powerful tool with m...
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When condition of order preservation is met?
The article shows a relationship between inconsistency in the pairwise c...
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Committee Scoring Rules: Axiomatic Characterization and Hierarchy
Committee scoring voting rules are multiwinner analogues of positional s...
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Adapting Everyday Manipulation Skills to Varied Scenarios
We address the problem of executing toolusing manipulation skills in sc...
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When is the condition of order preservation met?
This article explores a relationship between inconsistency in the pairwi...
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Efficient space virtualisation for HoshenKopelman algorithm
In this paper the efficient space virtualisation for HoshenKopelman al...
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Convolutional neural network compression for natural language processing
Convolutional neural networks are modern models that are very efficient ...
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"AIded with emotions"  a new design approach towards affective computer systems
As technologies become more and more pervasive, there is a need for cons...
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Cyberbullying Detection  Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology
The research described in this paper concerns automatic cyberbullying de...
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Testing Implementation of FAMTAR: Adaptive Multipath Routing
FlowAware MultiTopology Adaptive Routing (FAMTAR) is a new approach to...
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Flow Length and Size Distributions in Campus Internet Traffic
Efficiency of numerous floworiented solutions proposed in the literatur...
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Error correction in quantum cryptography based on artificial neural networks
Intensive work on quantum computing has increased interest in quantum cr...
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Towards quantification of incompleteness in the pairwise comparisons method
Alongside consistency, completeness of information is one of the key fac...
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MessagePassing Neural Networks Learn Little's Law
The paper presents a solution to the problem of universal representation...
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2D Embedding of Large and Highdimensional Data with Minimal Memory and Computational Time Requirements
In the advent of big data era, interactive visualization of large data s...
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Analysis of a Traffic Remapping Attack Game in a Multihop Ad Hoc Network
Multihop ad hoc networks are susceptible to selfish misbehavior such as...
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Notation for Subject Answer Analysis
It is believed that consistent notation helps the research community in ...
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Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm
In this paper, we present a short description of the method proposed to ...
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On the geometric mean method for incomplete pairwise comparisons
When creating the ranking based on the pairwise comparisons very often, ...
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RadialBased Undersampling for Imbalanced Data Classification
Data imbalance remains one of the most widespread problems affecting con...
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Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary AdvectionDiffusion Problems
In this paper, we propose the Isogeometric Residual Minimization (iGRM) ...
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VertexFault Tolerant Complete Matching in Bipartite graphs: the Biregular Case
Given a family H of graphs and a positive integer k, a graph G is called...
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Falls Prediction in eldery people using Gated Recurrent Units
Falls prevention, especially in older people, becomes an increasingly im...
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Prototyping Software Transceiver for the 5G New Radio Physical Uplink Shared Channel
5G New Radio (NR) is an emerging radio access technology, which is plann...
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FrequencyDomain Modeling of OFDM Transmission with Insufficient Cyclic Prefix using Toeplitz Matrices
A novel mathematical framework is proposed to model Intersymbol Interfer...
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A New Proposal of Applications of Statistical Depth Functions in Causal Analysis of SocioEconomic Phenomena Based on Official Statistics  A Study of EU Agricultural Subsidie
Results of a convincing causal statistical inference related to socioec...
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Performance considerations on execution of large scale workflow applications on cloud functions
FunctionasaService is a novel type of cloud service used for creating...
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Research Report on Automatic Synthesis of Local Search Neighborhood Operators
Constraint Programming (CP) and Local Search (LS) are different paradigm...
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AGH
Stanisław Staszic University of Science and Technology in Cracow is one of the best and most renowned and modern Polish universities, which has been leading positions in the rankings of higher education institutions for years. It is a leading university in Poland in the field of...