Nikola S. Nikolov

62 papers A 8B 3C 2Misc 1Journal 30Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Yor-Sarc: A gold-standard dataset for sarcasm detection in a low-resource African language. CoRR Toheeb Aduramomi Jimoh, Tabea De Wille, Nikola S. Nikolov
2025	J	`jnl`	Bridging Gaps in Natural Language Processing for Yorùbá: A Systematic Review of a Decade of Progress and Prospects. CoRR Toheeb Aduramomi Jimoh, Tabea De Wille, Nikola S. Nikolov
2025	J	`jnl`	Bridging gaps in natural language processing for Yorùbá: A systematic review of a decade of progress and prospects. Nat. Lang. Process. J. Toheeb Aduramomi Jimoh, Tabea De Wille, Nikola S. Nikolov
2025	J	`jnl`	Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models. CoRR Salma Mekaoui, Hiba Sofyan, Imane Amaaz, Imane Benchrif, Arsalane Zarghili, Ilham Chaker, Nikola S. Nikolov
2025	—	`conf`	ExtraSum @ MultiClinSum: Extractive Summarization of English, Spanish, French and Portuguese Clinical Case Reports. CLEF (Working Notes) Soukaina Rhazzafe, Simon Colreavy-Donnelly, Nikola S. Nikolov
2025	J	`jnl`	Irish-BLiMP: A Linguistic Benchmark for Evaluating Human and Language Model Performance in a Low-Resource Setting. CoRR Josh McGiff, Khanh-Tung Tran, William Mulcahy, Dáibhidh Ó Luinín, Jake Dalzell, Róisín Ní Bhroin, Adam Burke, Barry O'Sullivan, Hoang D. Nguyen, Nikola S. Nikolov
2025	J	`jnl`	Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review. CoRR Josh McGiff, Nikola S. Nikolov
2025	J	`jnl`	SemiAdapt and SemiLoRA: Efficient Domain Adaptation for Transformer-based Low-Resource Language Translation with a Case Study on Irish. CoRR Josh McGiff, Nikola S. Nikolov
2025	J	`jnl`	Systematic Literature Review of Topic Labeling. IEEE Access Salma Mekaoui, Ilham Chaker, Arsalane Zarghili, Nikola S. Nikolov
2025	A	`conf`	Towards Utilising a Range of Neural Activations for Comprehending Representational Associations. WACV Laura O'Mahony, Nikola S. Nikolov, David J. P. O'Sullivan
2024	—	`conf`	Advancing Systematic Literature Reviews Methodology Through Topic Modeling. ISPR (1) Salma Mekaoui, Ilham Chaker, Arsalane Zarghili, Nikola S. Nikolov
2024	J	`jnl`	Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional models for homophobic content identification on X/Twitter. CoRR Josh McGiff, Nikola S. Nikolov
2024	J	`jnl`	Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN. Data Min. Knowl. Discov. Ikram El Miqdadi, Soufiane Hourri, Fatima Zahra El Idrysy, Assia Hayati, Yassine Namir, Nikola S. Nikolov, Jamal Kharroubi
2024	J	`jnl`	FCOSH: A novel single-head FCOS for faster object detection in autonomous-driving systems. Intell. Syst. Appl. Saad Mboutayeb, Aicha Majda, Khalid Zenkouar, Nikola S. Nikolov
2024	J	`jnl`	On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques. CoRR Laura O'Mahony, David JP O'Sullivan, Nikola S. Nikolov
2024	J	`jnl`	Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques. J. Big Data Mohammed Bergui, Soufiane Hourri, Said Najah, Nikola S. Nikolov
2024	J	`jnl`	Towards Utilising a Range of Neural Activations for Comprehending Representational Associations. CoRR Laura O'Mahony, Nikola S. Nikolov, David JP O'Sullivan
2023	J	`jnl`	Domain-Specific Sentiment Analysis: An Optimized Deep Learning Approach for the Financial Markets. IEEE Access Mehdi Yekrangi, Nikola S. Nikolov
2023	—	`conf`	Hadoop Dataset for Job Estimation in the Cloud with Limited Bandwidth. FICC (2) Mohammed Bergui, Nikola S. Nikolov, Said Najah
2023	—	`conf`	On the Detection of Anomalous or Out-of-Distribution Data in Vision Models Using Statistical Techniques. AICV Laura O'Mahony, David JP O'Sullivan, Nikola S. Nikolov
2021	J	`jnl`	A survey on bandwidth-aware geo-distributed frameworks for big-data analytics. J. Big Data Mohammed Bergui, Said Najah, Nikola S. Nikolov
2021	J	`jnl`	Convolutional neural network vectors for speaker recognition. Int. J. Speech Technol. Soufiane Hourri, Nikola S. Nikolov, Jamal Kharroubi
2021	J	`jnl`	FeatureMF: An Item Feature Enriched Matrix Factorization Model for Item Recommendation. IEEE Access Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Zhanlin Ji, Mairtin O'Droma
2021	J	`jnl`	Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media. J. Big Data Yahya Albalawi, Jim Buckley, Nikola S. Nikolov
2021	J	`jnl`	SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis. J. Big Data Khawla Tadist, Fatiha Mrabti, Nikola S. Nikolov, Azeddine Zahi, Said Najah
2021	Misc	`conf`	UserReg: A Simple but Strong Model for Rating Prediction. ICASSP Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Mark Stevenson
2021	J	`jnl`	UserReg: A Simple but Strong Model for Rating Prediction. CoRR Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Mark Stevenson
2020	J	`jnl`	A deep learning approach to integrate convolutional neural networks in speaker recognition. Int. J. Speech Technol. Soufiane Hourri, Nikola S. Nikolov, Jamal Kharroubi
2019	—	`conf`	Detecting Offensive Language on Arabic Social Media Using Deep Learning. SNAMS Hanane Mohaouchane, Asmaa Mourhir, Nikola S. Nikolov
2019	J	`jnl`	Feature selection methods and genomic big data: a systematic review. J. Big Data Khawla Tadist, Said Najah, Nikola S. Nikolov, Fatiha Mrabti, Azeddine Zahi
2018	—	`conf`	Dataset Construction for the Detection of Anti-Social Behaviour in Online Communication in Arabic. ACLING Azalden Alakrot, Liam Murray, Nikola S. Nikolov
2018	A	`conf`	The Weighted Barycenter Drawing Recognition Problem. GD Peter Eades, Patrick Healy, Nikola S. Nikolov
2018	J	`jnl`	The Weighted Barycenter Drawing Recognition Problem. CoRR Peter Eades, Patrick Healy, Nikola S. Nikolov
2018	—	`conf`	Towards Accurate Detection of Offensive Language in Online Communication in Arabic. ACLING Azalden Alakrot, Liam Murray, Nikola S. Nikolov
2018	—	`conf`	Web Technologies Used in the Commercial Banks in Finland. CompSysTech Pavel Petrov, Stefan Krumovich, Nikola S. Nikolov, Georgi Petrov Dimitrov, Vladimir Sulov
2017	J	`jnl`	A Hybrid Service Recommendation Prototype Adapted for the UCWW: A Smart-City Orientation. Wirel. Commun. Mob. Comput. Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Zhanlin Ji, Máirtín O'Droma
2017	C	`conf`	Exploiting User Feedbacks in Matrix Factorization for Recommender Systems. MEDI Haiyang Zhang, Nikola S. Nikolov, Ivan Ganchev
2016	—	`conf`	A GA-Inspired Approach to the Reduction of Edge Crossings in Force-Directed Layouts. GECCO (Companion) Farshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton
2016	—	`conf`	A service recommendation model for the Ubiquitous Consumer Wireless World. IEEE Conf. on Intelligent Systems Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Mairtin O'Droma
2016	B	`conf`	A trust-enriched approach for item-based collaborative filtering recommendations. ICCP Haiyang Zhang, Ivan Ganchev, Nikola S. Nikolov, Mairtin O'Droma
2016	—	`conf`	Simulated Annealing as a Pre-Processing Step for Force-Directed Graph Drawing. GECCO (Companion) Farshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton
2016	—	`ch.`	Sugiyama Algorithm. Encyclopedia of Algorithms Nikola S. Nikolov
2016	B	`conf`	Vertex-neighboring multilevel force-directed graph drawing. SMC Farshad Ghassemi Toosi, Nikola S. Nikolov
2015	—	`conf`	Evolving Smart Initial Layouts for Force-Directed Graph Drawing. GECCO (Companion) Farshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton
2015	J	`jnl`	Sync-and-Burst: Force-Directed Graph Drawing with Uniform Force Magnitudes. CoRR Farshad Ghassemi Toosi, Nikola S. Nikolov
2015	C	`conf`	UCWW semantic-based service recommendation framework. ISTAS Haiyang Zhang, Nikola S. Nikolov, Ivan Ganchev
2013	—	`ch.`	Hierarchical Drawing Algorithms. Handbook of Graph Drawing and Visualization Patrick Healy, Nikola S. Nikolov
2009	J	`jnl`	Preface to GD'05 special issue. Discret. Math. Patrick Healy, Nikola S. Nikolov
2007	J	`jnl`	A 2.5D Hierarchical Drawing of Directed Graphs. J. Graph Algorithms Appl. Seok-Hee Hong, Nikola S. Nikolov, Alexandre Tarassov
2007	A	`conf`	Applying Ant Colony Optimization Metaheuristic to the DAG Layering Problem. IPDPS Radoslav Andreev, Patrick Healy, Nikola S. Nikolov
2007	—	`conf`	Visualization and analysis of email networks. APVIS Xiaoyan Fu, Seok-Hee Hong, Nikola S. Nikolov, Xiaobin Shen, Yingxin Wu, Kai Xu
2006	A	`ed.`	Graph Drawing, 13th International Symposium, GD 2005, Limerick, Ireland, September 12-14, 2005, Revised Papers GD Patrick Healy, Nikola S. Nikolov
2006	J	`jnl`	Graph layering by promotion of nodes. Discret. Appl. Math. Nikola S. Nikolov, Alexandre Tarassov
2005	A	`conf`	GEOMI: GEOmetry for Maximum Insight. GD Adel Ahmed, Tim Dwyer, Michael Forster, Xiaoyan Fu, Joshua Wing Kei Ho, Seok-Hee Hong, Dirk Koschützki, Colin Murray, Nikola S. Nikolov, Ronnie Taib, Alexandre Tarassov, Kai Xu
2005	A	`conf`	Hierarchical Layouts of Directed Graphs in Three Dimensions. GD Seok-Hee Hong, Nikola S. Nikolov
2005	J	`jnl`	In search for efficient heuristics for minimum-width graph layering with consideration of dummy nodes. ACM J. Exp. Algorithmics Nikola S. Nikolov, Alexandre Tarassov, Jürgen Branke
2005	—	`conf`	Layered Drawings of Directed Graphs in Three Dimensions. APVIS Seok-Hee Hong, Nikola S. Nikolov
2005	—	`conf`	Using Spring Algorithms to Remove Node Overlapping. APVIS Wanchun Li, Peter Eades, Nikola S. Nikolov
2004	—	`conf`	A Heuristic for Minimum-Width Graph Layering with Consideration of Dummy Nodes. WEA Alexandre Tarassov, Nikola S. Nikolov, Jürgen Branke
2002	A	`conf`	A Branch-and-Cut Approach to the Directed Acyclic Graph Layering Problem. GD Patrick Healy, Nikola S. Nikolov
2002	B	`conf`	Facets of the Directed Acyclic Graph Layering Polytope. WG Patrick Healy, Nikola S. Nikolov
2001	A	`conf`	How to Layer a Directed Acyclic Graph. GD Patrick Healy, Nikola S. Nikolov