Search Results - "Kajdanowicz, Tomasz"

Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification by Kleminski, Rajmund, Kazienko, Przemysiaw, Kajdanowicz, Tomasz

“…In our study, we examine the impact of citation network structures on the ability to discern valuable research topics in Computer Science literature. We use…”
Get full text

Comprehensive analysis of aspect term extraction methods using various text embeddings by Augustyniak, Łukasz, Kajdanowicz, Tomasz, Kazienko, Przemysław

“…•A wide comparison with ablation analysis of Aspect Term Extraction methods.•A guideline to choose the best Aspect Term Extraction models for particular user…”
Get full text

Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures by Morzy, Mikołaj, Kajdanowicz, Tomasz

“…Graph energy is the energy of the matrix representation of the graph, where the energy of a matrix is the sum of singular values of the matrix. Depending on…”
Get full text

Balancing Speed and Coverage by Sequential Seeding in Complex Networks by Jankowski, Jarosław, Bródka, Piotr, Kazienko, Przemysław, Szymanski, Boleslaw K., Michalski, Radosław, Kajdanowicz, Tomasz

“…Information spreading in complex networks is often modeled as diffusing information with certain probability from nodes that possess it to their neighbors that…”
Get full text

Social network structure is predictive of health and wellness by Lin, Suwen, Faust, Louis, Robles-Granda, Pablo, Kajdanowicz, Tomasz, Chawla, Nitesh V

“…Social networks influence health-related behavior, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of…”
Get full text

On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy by Morzy, Mikołaj, Alhajj, Reda, Kajdanowicz, Tomasz

“…One of the most popular methods of estimating the complexity of networks is to measure the entropy of network invariants, such as adjacency matrices or degree…”
Get full text

MIRAD: A Method for Interpretable Ransomware Attack Detection by Marcinkowski, Bartosz, Goschorska, Maja, Wilenska, Natalia, Siuta, Jakub, Kajdanowicz, Tomasz

“…In the face of escalating crypto-ransomware attacks, we introduce MIRAD, a novel dynamic detection method. MIRAD leverages machine learning to continuously…”
Get full text

Using Graph and Vertex Entropy to Compare Empirical Graphs with Theoretical Graph Models by Kajdanowicz, Tomasz, Morzy, Mikolaj

“…Over the years, several theoretical graph generation models have been proposed. Among the most prominent are: the Erdos-Renyi random graph model,…”
Get full text

Priority Attachment: a Comprehensive Mechanism for Generating Networks by Morzy, Mikołaj, Kajdanowicz, Tomasz, Kazienko, Przemysław, Miebs, Grzegorz, Rusin, Arkadiusz

“…We claim that networks are created according to the priority attachment mechanism. We introduce a simple model, which uses the priority attachment to generate…”
Get full text

Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social Network by Kundu, Suman, Kajdanowicz, Tomasz, Kazienko, Przemyslaw, Chawla, Nitesh

“…A high percentage of information that propagates through a social network is sourced from different exogenous sources. E.g., individuals may form their…”
Get full text

Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis by Augustyniak, Lukasz, Szymanski, Piotr, Kajdanowicz, Tomasz, Tuliglowicz, Wlodzimierz

“…We propose a novel method for counting sentiment orientation that outperforms supervised learning approaches in time and memory complexity and is not…”
Get full text

Graph Barlow Twins: A self-supervised representation learning framework for graphs by Bielak, Piotr, Kajdanowicz, Tomasz, Chawla, Nitesh V.

“…The self-supervised learning (SSL) paradigm is an essential exploration area, which tries to eliminate the need for expensive data labeling. Despite the great…”
Get full text

Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach by Kocoń, Jan, Figas, Alicja, Gruza, Marcin, Puchalska, Daria, Kajdanowicz, Tomasz, Kazienko, Przemysław

“…Analysis of subjective texts like offensive content or hate speech is a great challenge, especially regarding annotation process. Most of current annotation…”
Get full text

AttrE2vec: Unsupervised attributed edge representation learning by Bielak, Piotr, Kajdanowicz, Tomasz, Chawla, Nitesh V.

“…•Fusion of graph and attributes allows better representation learning.•Proposed new AttrE2vec method learns a representation for attributed edges.•The method…”
Get full text

Label-dependent node classification in the network by Kazienko, Przemyslaw, Kajdanowicz, Tomasz

“…Relations between objects in various systems, such as hyperlinks connecting web pages, citations of scientific papers, conversations via email or social…”
Get full text

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings by Bielak, Piotr, Tagowski, Kamil, Falkiewicz, Maciej, Kajdanowicz, Tomasz, Chawla, Nitesh V.

“…Representation learning on graphs has emerged as a powerful mechanism to automate feature vector generation for downstream machine learning tasks. The advances…”
Get full text

Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław by Szymanski, Piotr, Zolnieruk, Michal, Oleszczyk, Piotr, Gisterek, Igor, Kajdanowicz, Tomasz

“…In recent years, many studies on urban mobility based on large data sets have been published: most of them are based on crowdsourced GPS data or smart-card…”
Get full text

Relational Classification Using Random Walks in Graphs by Kajdanowicz, Tomasz

“…A novel approach to relational classification based on a Gaussian Random Field and random walks over the graph representing labeled and unlabeled examples is…”
Get full text

Where should I publish? Heterogeneous, networks-based prediction of paper’s citation success by Klemiński, Rajmund, Kazienko, Przemyslaw, Kajdanowicz, Tomasz

“…•Representing papers as embeddings of decomposed publication network’s modes.•Prediction of a paper’s future citation success using publication-day…”
Get full text

Parallel processing of large graphs by Kajdanowicz, Tomasz, Kazienko, Przemyslaw, Indyk, Wojciech

“…More and more large data collections are gathered worldwide in various IT systems. Many of them possess a networked nature and need to be processed and…”
Get full text