Dickson Owuor

Orcid: 0000-0002-0968-5742

According to our database1, Dickson Owuor authored at least 28 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Novelty Detection in Event Surveillance Documents.
IEEE Access, 2026

2025
Recurrent Neural Networks with Transformers to Trade Financial Instruments.
SN Comput. Sci., December, 2025

A Concise Ontological Model of the Design and Optoelectronic Properties in the Quantum Cascade Laser Domain.
Semantic Web, 2025

Semantic Enrichment of the Quantum Cascade Laser Properties in Text- A Knowledge Graph Generation Approach.
Proceedings of the Joint Proceedings of the Fourth International Workshop on LLM-Integrated Knowledge Graph Generation From Text (TEXT2KG) and the Second International BiKE Challenge co-located with the Extended Semantic Web Conference (ESWC 2025), 2025

Towards Generalizing Deep Reinforcement Learning Algorithms for Real World Applications.
Proceedings of the Computational Intelligence - 17th International Joint Conference, 2025

Enhanced Mining of FTGPs Using Mutual Information and Metaheuristic Technique.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2025

2024
Clustering-based gradual pattern mining.
Int. J. Mach. Learn. Cybern., June, 2024

Self-Playing RNA Inverse Folding.
SN Comput. Sci., April, 2024

Explainable epidemiological thematic features for event based disease surveillance.
Expert Syst. Appl., 2024

Decoding Molecular Language Model with Beam Search.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

EpidGPT: A Combined Strategy to Discriminate Between Redundant and New Information for Epidemiological Surveillance Systems.
Proceedings of the Natural Language Processing and Information Systems, 2024

LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Integrating textual data for enhanced explanation of food crises at subnational scale.
Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), 2024

RNA Generative Modeling With Tree Search.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023
Extension et adaptation des modèles de langues pour la classification de corpus en santé animale.
Proceedings of the Extraction et Gestion des Connaissances, 2023

A Text Mining Pipeline for Mining the Quantum Cascade Laser Properties.
Proceedings of the New Trends in Database and Information Systems, 2023

2022
A metaheuristic approach for mining gradual patterns.
Swarm Evol. Comput., 2022

Enriching Epidemiological Thematic Features For Disease Surveillance Corpora Classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Designing RNA Sequences by Self-play.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

2021
Ant colony optimization for mining gradual patterns.
Int. J. Mach. Learn. Cybern., 2021

Mining Fuzzy Temporal Gradual Emerging Patterns.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021

Capturing the temporal constraints of gradual patterns.
CoRR, 2021

Gradual Pattern Mining Tool on Cloud.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Optimisation d'architecture de lacs de données basée sur les chaînes d'approvisionnement.
Proceedings of the Extraction et Gestion des Connaissances, 2021

Efficiently Mining Large Gradual Patterns Using Chunked Storage Layout.
Proceedings of the Advances in Databases and Information Systems, 2021

2020
Capturing the temporal constraints of gradual patterns. (Capturer les contraintes temporelles des modèles graduels).
PhD thesis, 2020

Exploiting IoT Data Crossings for Gradual Pattern Mining Through Parallel Processing.
Proceedings of the ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 2020

2019
Mining Fuzzy-Temporal Gradual Patterns.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019


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