output
20152026
most citedDeep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints

218 citations

22 papers

math.HO2026

A philosophical history of infinitesimals

Vladimir Kanovei, Mikhail G. Katz, Taras Kudryk +1

We explore the issue of providing a foundational framework for Leibnizian infinitesimals in the light of modern standard and nonstandard approaches. We outline a trichotomy of ordi…

cs.SI2023★ 1 cited

Dynamics of Ideological Biases of Social Media Users

Mohammed Shahid Modi, James Flamino, Boleslaw K. Szymanski

Humanity for centuries has perfected skills of interpersonal interactions and evolved patterns that enable people to detect lies and deceiving behavior of others in face-to-face se…

cs.DL2022★ 4 cited

Peculiarities of gender disambiguation and ordering of non-English authors' names for Economic papers beyond core databases

O. Mryglod, S. Nazarovets, S. Kozmenko

This paper presents the results of further exploration of Crossref data related to Ukrainian Economics research (the first part can be found in [Mryglod, O., Nazarovets, S. & Kozme…

cs.SI2022

Temporal Network Epistemology: on Reaching Consensus in Real World Setting

Radosław Michalski, Damian Serwata, Mateusz Nurek +3

This work develops the concept of temporal network epistemology model enabling the simulation of the learning process in dynamic networks. The results of the research, conducted on…

physics.soc-ph2021★ 32 cited

Become a better you: correlation between the change of research direction and the change of scientific performance

Xiaoyao Yu, Boleslaw K. Szymanski, Tao Jia

It is important to explore how scientists decide their research agenda and the corresponding consequences, as their decisions collectively shape contemporary science. There are stu…

cs.DL2021★ 16 cited

Universal and specific features of Ukrainian economic research: publication analysis based on Crossref data

O. Mryglod, S. Nazarovets, S. Kozmenko

Our study is one of the first examples of multidimensional and longitudinal disciplinary analysis at the national level based on Crossref data. We present a large-scale quantitativ…

cs.SI2021★ 2 cited

Optimizing Edge Sets in Networks to Produce Ground Truth Communities Based on Modularity

Daniel Kosmas, John E. Mitchell, Thomas C. Sharkey +1

We consider two new problems regarding the impact of edge addition or removal on the modularity of partitions (or community structures) in a network. The first problem seeks to add…

eess.SY2020★ 3 cited

Heuristic assessment of the economic effects of pandemic control

Xiang Niu, Christopher Brissette, Chunheng Jiang +3

Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, b…

cs.SI2020★ 4 cited

A Synthetic Network Generator for Covert Network Analytics

Amr Elsisy, Aamir Mandviwalla, Boleslaw Szymanski +1

We study social networks and focus on covert (also known as hidden) networks, such as terrorist or criminal networks. Their structures, memberships and activities are illegal. Thus…

eess.IV2019★ 6 cited

Fully Convolutional Network for Removing DCT Artefacts From Images

Patryk Najgebauer, Rafal Scherer, Leszek Rutkowski

Image compression is one of the essential methods of image processing. Its most prominent advantage is the significant reduction of image size allowing for more efficient storage a…

physics.soc-ph2019★ 21 cited

The evolution of polarization in the legislative branch of government

Xiaoyan Lu, Jianxi Gao, Boleslaw K. Szymanski

The polarization of political opinions among members of the U.S. legislative chambers measured by their voting records is greater today than it was thirty years ago. Previous resea…

cs.SI2019★ 12 cited

Regularized Stochastic Block Model for robust community detection in complex networks

Xiaoyan Lu, Boleslaw K. Szymanski

The stochastic block model is able to generate different network partitions, ranging from traditional assortative communities to disassortative structures. Since the degree-correct…

cs.SI2019★ 13 cited

Asymptotic resolution bounds of generalized modularity and multi-scale community detection

Xiaoyan Lu, Brendan Cross, Boleslaw K. Szymanski

The maximization of generalized modularity performs well on networks in which the members of all communities are statistically indistinguishable from each other. However, there is…

cs.SI2018★ 16 cited

Probing Limits of Information Spread with Sequential Seeding

Jaroslaw Jankowski, Boleslaw K. Szymanski, Przemyslaw Kazienko +2

We consider here information spread which propagates with certain probability from nodes just activated to their not yet activated neighbors. Diffusion cascades can be triggered by…

cs.SI2018★ 10 cited

Social Networks through the Prism of Cognition

Radosław Michalski, Bolesław K. Szymański, Przemysław Kazienko +3

Human relations are driven by social events-people interact, exchange information, share knowledge and emotions, and gather news from mass media. These events leave traces in human…

physics.soc-ph2017★ 175 cited

Quantifying patterns of research interest evolution

Tao Jia, Dashun Wang, Boleslaw K. Szymanski

Our quantitative understanding of how scientists choose and shift their research focus over time is highly consequential, because it affects the ways in which scientists are traine…

cs.SI2016★ 4 cited

Supporting novel biomedical research via multilayer collaboration networks

Konstantin Kuzmin, Xiaoyan Lu, Partha Sarathi Mukherjee +3

The value of research containing novel combinations of molecules can be seen in many innovative and award-winning research programs. Despite calls to use innovative approaches to a…

cs.LG2016★ 218 cited

Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints

Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui

We demonstrate a new deep learning autoencoder network, trained by a nonnegativity constraint algorithm (NCAE), that learns features which show part-based representation of data. T…

physics.soc-ph2015★ 64 cited

The Impact of Heterogeneous Thresholds on Social Contagion with Multiple Initiators

Panagiotis D. Karampourniotis, Sameet Sreenivasan, Boleslaw K. Szymanski +1

The threshold model is a simple but classic model of contagion spreading in complex social systems. To capture the complex nature of social influencing we investigate numerically a…

physics.soc-ph2015★ 12 cited

An Analysis of the Matching Hypothesis in Networks

Tao Jia, Robert F. Spivey, Boleslaw Szymanski +1

The matching hypothesis in social psychology claims that people are more likely to form a committed relationship with someone equally attractive. Previous works on stochastic model…

cs.CV2015

Fast Dictionary Matching for Content-based Image Retrieval

Patryk Najgebauer, Janusz Rygal, Tomasz Nowak +4

This paper describes a method for searching for common sets of descriptors between collections of images. The presented method operates on local interest keypoints, which are gener…

cs.CE2015★ 85 cited

Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering

Chris Gaiteri, Mingming Chen, Boleslaw Szymanski +9

Biological functions are carried out by groups of interacting molecules, cells or tissues, known as communities. Membership in these communities may overlap when biological compone…