Research
Research & Publications
My research investigates methods for detecting and characterizing concept drift and data drift in streaming, non-stationary environments. I develop detectors, classifiers, scoring mechanisms, and statistical metrics suited to real-world adaptive ML systems.
Drift Detection
Feature-rank based methods, KS-test applications, noise-tolerant multi-view statistical fusion, and distribution shift measurement in 2D and high-dimensional streams.
Adaptive Classifiers
Ensemble and multi-classifier systems that maintain accuracy under distribution changes in non-stationary data.
Statistical Metrics
Drift scoring, visualization, and quantification moving beyond binary detection to graded measures of drift severity.
Time Series & Likelihood
Likelihood functions for MA and ARMA models; applied to water supply forecasting and epidemiological modeling.
Journal Publications
Noise-Tolerant Multi-View Concept Drift Detection Based on Statistical Fusion
Benjamin Mensah Dadzie, Piotr Porwik
Procedia Computer Science, Vol. 292, pp. 450–459 (2026) — KES 2026, 30th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems
View Paper →A novel method for drift detection in streaming data based on measurement of changes in feature ranks
Piotr Porwik, Tomasz Orczyk, Krzysztof Wrobel, Benjamin Mensah Dadzie
Journal of Artificial Intelligence and Soft Computing Research, Vol. 15, Issue 2 (March 2025)
View Paper →Epidemiological Modelling of Yellow Fever Dynamics
H. Otoo, L. Brew, B. Dadzie-Mensah
Asian Research Journal of Mathematics, 20(8), pp. 119–141 (2024)
Existence of Solutions of a Convolution Integral Equation
H. Otoo, B. Dadzie Mensah, L. Brew
Journal of Applied Mathematics and Physics, 12(5), pp. 1835–1847 (2024)
A new concept drift detection method based on the ranking of features in data stream
Krzysztof Wrobel, Piotr Porwik, Tomasz Orczyk, Benjamin Mensah Dadzie
Procedia Computer Science, Vol. 225, pp. 3294–3302 (2023)
View Paper →Detection of data drift in a two-dimensional stream using the Kolmogorov-Smirnov test
Piotr Porwik, Benjamin Mensah Dadzie
Procedia Computer Science, Vol. 207, pp. 168–175 (2022)
View Paper →The Impact of External Debt on the Economic Growth in Ghana
I. Adubofour, T. Mangudhla, B. Dadzie Mensah
EPRA International Journal of Economics, Business and Management Studies, Vol. 8, Issue 9 (2021)
The Impact of R&D Investment on Firm Performance: through the Moderating Effect of Investor Sentiment
I. Adubofour, X. Xu, T. Mangudhla, B. Dadzie Mensah
Journal of Quantitative Finance and Economics, Vol. 3, Issue 1, pp. 79–98 (2021)
View Paper →The Real Exchange Rate Regime and Economic Growth in Ghana
E.K. Osei, I. Adubofour, S. Adamu, B. Dadzie Mensah
European Scientific Journal, Vol. 16, Issue 10 (2020)
View Paper →Conference Publications
Drift Speed Matters: Chunk Size, Drift Length and Performance of Batch-Based Drift Detectors – A Case Study
Benjamin Mensah Dadzie, Piotr Porwik
18th International Conference on Computational Collective Intelligence (ICCCI 2026), Heraklion, Greece
View Paper →Chunk-Wise Evaluation of Unsupervised and Error-Based Concept Drift Detectors for AI-Enabled Information Systems
Piotr Porwik, Benjamin Mensah Dadzie
Making ISD Sustainable: Reloaded with AI and Automation — 34th International Conference on Information Systems Development (ISD 2026), Prague, Czech Republic
View Paper →Detecting Feature Drift by Monitoring Feature-Rank Stability in Data Streams
Benjamin Mensah Dadzie, Piotr Porwik
Computational Science – ICCS 2026, Lecture Notes in Computer Science, Vol. 16784, pp. 342–350
View Paper →Analysis of Ranking Methods and Classifiers for Drift Detection Using the Feature-Based Drift Detector
Benjamin Mensah Dadzie, Piotr Porwik, Tomasz Orczyk
Advances in Artificial Intelligence Research (PP-RAI 2025), Lecture Notes in Networks and Systems, Vol. 1599
View Paper →Feature-Based Drift Detection in Non-Stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis
Benjamin Mensah Dadzie, Piotr Porwik
17th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2025), pp. 276–291
View Paper →Concept Drift Scoring and Visualization
Tomasz Orczyk, Benjamin Mensah Dadzie
Recent Challenges in Intelligent Information and Database Systems, pp. 48–58
View Paper →