Nikola S. Nikolov

发表

In search for efficient heuristics for minimum-width graph layering with consideration of dummy nodes

Jürgen Branke, Nikola S. Nikolov, Alexandre Tarassov, 2005, JEAL.

Nikola S. Nikolov, Patrick Healy, P. Healy, 2013, Handbook of Graph Drawing and Visualization.

A Hybrid Service Recommendation Prototype Adapted for the UCWW: A Smart-City Orientation

Ivan Ganchev, Zhanlin Ji, Mairtin O'Droma, 2017, Wirel. Commun. Mob. Comput..

Vertex-neighboring multilevel force-directed graph drawing

Nikola S. Nikolov, Farshad Ghassemi Toosi, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Hybrid recommendation for sparse rating matrix: A heterogeneous information network approach

Ivan Ganchev, Zhanlin Ji, Haiyang Zhang, 2017, 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).

UCWW semantic-based service recommendation framework

Ivan Ganchev, Haiyang Zhang, Nikola S. Nikolov, 2015, 2015 IEEE International Symposium on Technology and Society (ISTAS).

Angular-Coordinate Driven Radial Tree Drawing

Nikola S. Nikolov, Farshad Ghassemi Toosi, 2013 .

Matrix Factorization Enriched with Item Features

Ivan Ganchev, Haiyang Zhang, Nikola S. Nikolov, 2020, 2020 International Conference on Mathematics and Computers in Science and Engineering (MACISE).

Graph layering by promotion of nodes

Nikola S. Nikolov, Alexandre Tarassov, 2006, Discret. Appl. Math..

Sync-and-Burst: Force-Directed Graph Drawing with Uniform Force Magnitudes pdf

Nikola S. Nikolov, Farshad Ghassemi Toosi, 2015, ArXiv.

A GA-Inspired Approach to the Reduction of Edge Crossings in Force-Directed Layouts

Malachy Eaton, Nikola S. Nikolov, Farshad Ghassemi Toosi, 2016, GECCO.

Exploiting User Feedbacks in Matrix Factorization for Recommender Systems

Ivan Ganchev, Haiyang Zhang, Nikola S. Nikolov, 2017, MEDI.

Dataset Construction for the Detection of Anti-Social Behaviour in Online Communication in Arabic

Nikola S. Nikolov, Liam Murray, Azalden Alakrot, 2018, ACLING.

Layered Drawings of Directed Graphs in Three Dimensions

Seok-Hee Hong, Nikola S. Nikolov, Seok-Hee Hong, 2005, APVIS.

Preface to GD'05 special issue

Nikola S. Nikolov, Patrick Healy, 2009, Discret. Math..

A Heuristic for Minimum-Width Graph Layering with Consideration of Dummy Nodes

Jürgen Branke, Nikola S. Nikolov, Alexandre Tarassov, 2004, WEA.

Visualization and analysis of email networks

Seok-Hee Hong, Nikola S. Nikolov, Xiaoyan Fu, 2007, 2007 6th International Asia-Pacific Symposium on Visualization.

Feature-Extraction Methods for Lung-Nodule Detection: A Comparative Deep Learning Study

Nikola S. Nikolov, Brahim Ait Skourt, Aicha Majda, 2019, 2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS).

A MINIMALLY INTRUSIVE WIRELESS SOLUTION FOR CONTEXT- AND SERVICE AWARENESS ENABLEMENT IN MOBILE COMMUNICATIONS

Ivan Ganchev, Nikola S. Nikolov, Paul Flynn, 2012, International Conference on Telecommunications.

Hierarchical Layouts of Directed Graphs in Three Dimensions

Seok-Hee Hong, Nikola S. Nikolov, 2005, Graph Drawing.

A deep learning approach to integrate convolutional neural networks in speaker recognition

Nikola S. Nikolov, Jamal Kharroubi, Soufiane Hourri, 2020, Int. J. Speech Technol..

Weighted item ranking for pairwise matrix factorization

Ivan Ganchev, Haiyang Zhang, Nikola S. Nikolov, 2017, 2017 South Eastern European Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM).

Applying Ant Colony Optimization Metaheuristic to the DAG Layering Problem

Nikola S. Nikolov, Patrick Healy, Radoslav Andreev, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

A service recommendation model for the Ubiquitous Consumer Wireless World

Ivan Ganchev, Mairtin O'Droma, Haiyang Zhang, 2016, 2016 IEEE 8th International Conference on Intelligent Systems (IS).

Towards Accurate Detection of Offensive Language in Online Communication in Arabic

Nikola S. Nikolov, Liam Murray, Azalden Alakrot, 2018, ACLING.

A trust-enriched approach for item-based collaborative filtering recommendations

Ivan Ganchev, Mairtin O'Droma, Haiyang Zhang, 2016, 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP).

Weighted matrix factorization with Bayesian personalized ranking

Ivan Ganchev, Zhanlin Ji, Haiyang Zhang, 2017, 2017 Computing Conference.

Detecting Offensive Language on Arabic Social Media Using Deep Learning

Nikola S. Nikolov, Asmaa Mourhir, Hanane Mohaouchane, 2019, 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS).

Using Spring Algorithms to Remove Node Overlapping

Peter Eades, Nikola S. Nikolov, Wanchun Li, 2005, APVIS.

A Branch-and-Cut Approach to the Directed Acyclic Graph Layering Problem

Nikola S. Nikolov, Patrick Healy, 2002, Graph Drawing.

Simulated Annealing as a Pre-Processing Step for Force-Directed Graph Drawing

Malachy Eaton, Nikola S. Nikolov, Farshad Ghassemi Toosi, 2016, GECCO.

FeatureMF – A Novel Collaborative Filtering Recommendation Model

Ivan Ganchev, Haiyang Zhang, Nikola S. Nikolov, 2020, 2020 International Conference on Mathematics and Computers in Science and Engineering (MACISE).

How to Layer a Directed Acyclic Graph

Nikola S. Nikolov, Patrick Healy, P. Healy, 2001, GD.

A UCWW CLOUD-BASED SYSTEM FOR INCREASED SERVICE CONTEXTUALIZATION IN FUTURE WIRELESS NETWORKS

Ivan Ganchev, Zhanlin Ji, Nikola S. Nikolov, 2018 .

Facets of the Directed Acyclic Graph Layering Polytope

Nikola S. Nikolov, Patrick Healy, P. Healy, 2002, WG.

Evolving Smart Initial Layouts for Force-Directed Graph Drawing

Malachy Eaton, Nikola S. Nikolov, Farshad Ghassemi Toosi, 2015, GECCO.

The Weighted Barycenter Drawing Recognition Problem

Peter Eades, Nikola S. Nikolov, Patrick Healy, 2018, Graph Drawing.

GEOMI: GEOmetry for Maximum Insight

Tim Dwyer, Seok-Hee Hong, Ronnie Taib, 2005, GD.

Feature selection methods and genomic big data: a systematic review

Fatiha Mrabti, Nikola S. Nikolov, Azeddine Zahi, 2019, Journal of Big Data.

Graph Drawing, 13th International Symposium, GD 2005, Limerick, Ireland, September 12-14, 2005, Revised Papers

Nikola S. Nikolov, Patrick Healy, 2006, Graph Drawing.

Sugiyama Algorithm

Nikola S. Nikolov, 2016, Encyclopedia of Algorithms.

A 2.5D Hierarchical Drawing of Directed Graphs

Seok-Hee Hong, Nikola S. Nikolov, Alexandre Tarassov, 2007, J. Graph Algorithms Appl..

Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

Nikola S. Nikolov, Jim Buckley, Yahya Albalawi, 2021, Journal of Big Data.

A survey on bandwidth-aware geo-distributed frameworks for big-data analytics

Nikola S. Nikolov, Said Najah, Mohammed Bergui, 2021, J. Big Data.

SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis

Fatiha Mrabti, Nikola S. Nikolov, Azeddine Zahi, 2021, J. Big Data.

FeatureMF: An Item Feature Enriched Matrix Factorization Model for Item Recommendation

Ivan Ganchev, Zhanlin Ji, Nikola S. Nikolov, 2021, IEEE Access.

UserReg: A Simple but Strong Model for Rating Prediction

Ivan Ganchev, Mark Stevenson, Nikola S. Nikolov, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convolutional neural network vectors for speaker recognition

Nikola S. Nikolov, Jamal Kharroubi, Soufiane Hourri, 2021, International Journal of Speech Technology.

Graph Drawing: 13 th International Symposium, GD 2005, Limerick, Ireland, September 12-14, 2005, Revised Papers (Lecture Notes in Computer Science)

Nikola S. Nikolov, Patrick Healy, 2006 .

Visualization and Analysis of Small-World Email Networks

Seok-Hee Hong, Nikola S. Nikolov, Xiaobin Shen, 2006 .

Pretrained Transformer Language Models Versus Pretrained Word Embeddings for the Detection of Accurate Health Information on Arabic Social Media: Comparative Study

Nikola S. Nikolov, J. Buckley, Yahya Albalawi, 2021, JMIR formative research.

Feature selection methods and genomic big data: a systematic review

Nikola S. Nikolov, A. Zahi, Said Najah, 2019, Journal of Big Data.

Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis

Nikola S. Nikolov, Jim Buckley, Yahya Albalawi, 2019, Journal of medical Internet research.

Domain-Specific Sentiment Analysis: An Optimized Deep Learning Approach for the Financial Markets

Nikola S. Nikolov, Mehdi Yekrangi, 2023, IEEE Access.

Web Technologies Used in the Commercial Banks in Finland

Nikola S. Nikolov, Pavel Petrov, Vladimir Sulov, 2018, CompSysTech.