Adaptive strategies for predicting bidding prices in supply chain management. - Yevgeniya Kovalchuk; Maria Fasli (ICEC, 2008)

Seller's Strategies for Predicting Winning Bid Prices in Online Auctions. - Yevgeniya Kovalchuk (CIMCA/IAWTIC/ISE, 2008)

Deploying Neural-Network-Based Models for Dynamic Pricing in Supply Chain Management. - Yevgeniya Kovalchuk; Maria Fasli (CIMCA/IAWTIC/ISE, 2008)

A Demand-Driven Approach for a Multi-Agent System in Supply Chain Management. - Yevgeniya Kovalchuk; Maria Fasli (AMEC/TADA, 2009)

A multi-agent decision support system for supply chain management. - Yevgeniya Kovalchuk (2009)

Knowing Yourself. - Yevgeniya Kovalchuk (Intelligent Environments (Workshops), 2010)

A Self-Organizing System for Online Maintenance of a Living Organism. - Yevgeniya Kovalchuk; Victor Callaghan (Intelligent Environments, 2010)

The Ministry of Interfaces (Doors). - Yevgeniya Kovalchuk (Intelligent Environments (Workshops), 2011)

Scientific Theatre: Multidisciplinary Approach to Designing Intelligent Environments. - Yevgeniya Kovalchuk (Intelligent Environments (Workshops), 2011)

Movement as a Means of Communication. - Yevgeniya Kovalchuk; Ludmila Mova (Intelligent Environments (Workshops), 2011)

Learning approaches for developing successful seller strategies in dynamic supply chain management. - Maria Fasli; Yevgeniya Kovalchuk (Inf. Sci., 2011)

ICmetrics for Low Resource Embedded Systems. - Yevgeniya Kovalchuk; Huosheng Hu; Dongbing Gu; Klaus D. McDonald-Maier; Gareth Howells 001 (EST, 2012)

Investigation of Properties of ICmetrics Features. - Yevgeniya Kovalchuk; Huosheng Hu; Dongbing Gu; Klaus D. McDonald-Maier; Daniel Newman; Steve Kelly; Gareth Howells 001 (EST, 2012)

Talking Things. - Yevgeniya Kovalchuk (Intelligent Environments (Workshops), 2013)

Provenance-aware pervasive computing in clinical applications. - Yevgeniya Kovalchuk; Yuhui Chen; Simon Miles; Shao Fen Liang; Adel Taweel (WiMob, 2013)

AnyThreat: An Opportunistic Knowledge Discovery Approach to Insider Threat Detection. - Diana Haidar; Mohamed Medhat Gaber; Yevgeniya Kovalchuk (CoRR, 2018)

RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification. - Hossein Ghomeshi; Mohamed Medhat Gaber; Yevgeniya Kovalchuk (IEEE Access, 2019)

Machine learning and multi-agent systems in oil and gas industry applications: A survey. - Khadijah M. Hanga; Yevgeniya Kovalchuk (Comput. Sci. Rev., 2019)

EACD: evolutionary adaptation to concept drifts in data streams. - Hossein Ghomeshi; Mohamed Medhat Gaber; Yevgeniya Kovalchuk (Data Min. Knowl. Discov., 2019)

Internet of Things and data mining: From applications to techniques and systems. - Mohamed Medhat Gaber; Adel Aneiba; Shadi Basurra; Oliver Batty; Ahmed M. Elmisery; Yevgeniya Kovalchuk; Muhammad Habib Ur Rehman (WIREs Data Mining Knowl. Discov., 2019)

Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models. - Aliyu Sani Sambo; R. Muhammad Atif Azad; Yevgeniya Kovalchuk; Vivek Padmanaabhan Indramohan; Hanifa Shah (EuroGP, 2020)

Feature engineering for improving robustness of crossover in symbolic regression. - Aliyu Sani Sambo; R. Muhammad Atif Azad; Yevgeniya Kovalchuk; Vivek Padmanaabhan Indramohan; Hanifa Shah (GECCO Companion, 2020)

Leveraging asynchronous parallel computing to produce simple genetic programming computational models. - Aliyu Sani Sambo; R. Muhammad Atif Azad; Yevgeniya Kovalchuk; Vivek Padmanaabhan Indramohan; Hanifa Shah (SAC, 2020)

A Graph-Based Approach to Interpreting Recurrent Neural Networks in Process Mining. - Khadijah M. Hanga; Yevgeniya Kovalchuk; Mohamed Medhat Gaber (IEEE Access, 2020)

A non-canonical hybrid metaheuristic approach to adaptive data stream classification. - Hossein Ghomeshi; Mohamed Medhat Gaber; Yevgeniya Kovalchuk (Future Gener. Comput. Syst., 2020)

Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing. - Aliyu Sani Sambo; R. Muhammad Atif Azad; Yevgeniya Kovalchuk; Vivek Padmanaabhan Indramohan; Hanifa Shah (GECCO Companion, 2021)

Evolving simple and accurate symbolic regression models via asynchronous parallel computing. - Aliyu Sani Sambo; R. Muhammad Atif Azad; Yevgeniya Kovalchuk; Vivek Padmanaabhan Indramohan; Hanifa Shah (Appl. Soft Comput., 2021)

PGraphD*: Methods for Drift Detection and Localisation Using Deep Learning Modelling of Business Processes. - Khadijah Muzzammil Hanga; Yevgeniya Kovalchuk; Mohamed Medhat Gaber (Entropy, 2022)

ABCO: Adaptive Bacterial Colony Optimisation. - Barisi Kogam; Yevgeniya Kovalchuk; Mohamed Medhat Gaber (CoRR, 2025)

Why can't Epidemiology be automated (yet)? - David Bann; Ed Lowther; Liam Wright; Yevgeniya Kovalchuk (CoRR, 2025)