Stebėti
Gollam Rabby
Gollam Rabby
Postdoctoral researcher
Patvirtintas el. paštas l3s.de
Pavadinimas
Cituota
Cituota
Metai
Teket: a tree-based unsupervised keyphrase extraction technique
G Rabby, S Azad, M Mahmud, KZ Zamli, MM Rahman
Cognitive Computation 12 (4), 811-833, 2020
1002020
A Flexible Keyphrase Extraction Technique for Academic Literature
G Rabby, S Azad, M Mahmud, KZ Zamli, MM Rahman
Procedia Computer Science 135, 553-563, 2018
542018
Multi-class classification of COVID-19 documents using machine learning algorithms
G Rabby, P Berka
Journal of Intelligent Information Systems, 1-21, 2022
242022
Why was this cited? Explainable machine learning applied to COVID-19 research literature
L Beranová, MP Joachimiak, T Kliegr, G Rabby, V Sklenák
Scientometrics 127 (5), 2313-2349, 2022
222022
Ontologies supporting research-related information foraging using knowledge graphs: literature survey and holistic model mapping
VB Nguyen, V Svátek, G Rabby, O Corcho
Knowledge Engineering and Knowledge Management: 22nd International …, 2020
122020
A Geofencing-based Recent Trends Identification from Twitter Data
MSU Miah, MS Tahsin, S Azad, G Rabby, MS Islam, S Uddin, ...
IOP Conference Series: Materials Science and Engineering 769 (1), 012008, 2020
72020
MC-NEST--Enhancing Mathematical Reasoning in Large Language Models with a Monte Carlo Nash Equilibrium Self-Refine Tree
G Rabby, F Keya, P Zamil, S Auer
arXiv preprint arXiv:2411.15645, 2024
22024
Effect of heuristic post-processing on knowledge graph profile patterns: cross-domain study
G Rabby, F Keya, V Svátek, RAA Principe
NexusLinguarum – European network for Web-centred linguistic data science, 2022
22022
Design and Development of a University Human Resource Ontology Model for Semantic Web
MS Rahman, G Rabby
International Journal of Computer Science and Network Security (IJCSNS) 17 …, 2017
22017
Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization
G Rabby, S Auer, J D'Souza, A Oelen
arXiv preprint arXiv:2409.06433, 2024
12024
OReCaP-Towards Ontology Reuse via Focused Categorization Power.
VB Nguyen, V Svátek, G Rabby, O Zamazal
ISWC (Demos/Industry), 295-300, 2020
12020
SelfCheckAgent: Zero-Resource Hallucination Detection in Generative Large Language Models
D Muhammed, G Rabby, S Auer
arXiv preprint arXiv:2502.01812, 2025
2025
NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering
P Zamil, G Rabby, MS Rahman, S Auer
arXiv preprint arXiv:2411.00041, 2024
2024
Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph
G Rabby, J D’Souza, A Oelen, L Dvorackova, V Svátek, S Auer
Journal of Biomedical Semantics 14 (1), 1-19, 2023
2023
Pruning and re-ranking the frequent patterns in knowledge graph profiling using machine learning
G Rabby, F Keya, V Svátek, B Spahiu
Proceedings of the 4th Conference on Language, Data and Knowledge, 607-611, 2023
2023
Augmenting a COVID-19 Research Knowledge Graph With Influential Papers Prediction
G Rabby, V Svátek, P Berka
CEUR Workshop Proceedings (CEUR-WS) 3235, 2022
2022
A Highly Accurate PDF-To-Text Conversion System for Academic Papers Using Natural Language Processing Approach
TF Yong, S Azad, MM Rahman, KZ Zamli, G Rabby
Advanced Science Letters 24 (10), 7844-7849, 2018
2018
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Straipsniai 1–17