Nik Bessis
researcher ORCID ID = 0000-0002-6013-3935
Facts
8 properties- Instance of
- human
- Date of birth
- 1967
- Occupation
- researcher, computer scientist
- Employer
- Edge Hill University[4]
- Maintained by WikiProject
- WikiProject Mathematics[8]
🏷️ Also known as
en Nik Bessis
🔖 Identifiers · 15
- ISNI
- 0000000040372280
- ORCID iD
- 0000-0002-6013-3935
- VIAF cluster ID
- 21619857
- Library of Congress authority ID
- n2008065915
- GND ID
- 1051063752
- DBLP author ID
- 87/3687
- DDB person (GND) ID
- 1051063752
- Dimensions author ID
- 012445524023.16
- IdRef ID
- 180460870
- NL CR AUT ID
- ntk2011656912
- NUKAT ID
- n2011171568
- National Library of Israel J9U ID
- 987007457546105171
Show all 15 identifiers +3
- Scopus author ID
- 17345274600
- WorldCat Entities ID
- E39PBJfMftf3CBJTC36DxKbw4q
- ZbMATH author ID
- bessis.nik
🔗 Connections
Author of 14
A hybrid spam detection method based on unstructured datasets,
An influence assessment method based on co-occurrence for topologically reduced big data sets,
Automated extraction of fragments of Bayesian networks from textual sources,
Big data‐based extraction of fuzzy partition rules for heart arrhythmia detection: a semi‐automated approach,
Classifying emotions in Stack Overflow and JIRA using a multi-label approach,
Coarse Temporal Attention Network (CTA-Net) for Driver’s Activity Recognition,
CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems,
Data Science for the Internet of Things
+6 more
← Authored by 14
A hybrid spam detection method based on unstructured datasets,
An influence assessment method based on co-occurrence for topologically reduced big data sets,
Automated extraction of fragments of Bayesian networks from textual sources,
Big data‐based extraction of fuzzy partition rules for heart arrhythmia detection: a semi‐automated approach,
Classifying emotions in Stack Overflow and JIRA using a multi-label approach,
Coarse Temporal Attention Network (CTA-Net) for Driver’s Activity Recognition,
CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems,
Data Science for the Internet of Things
+6 more
Affiliated with 2
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