92 citations · 168 across the 13 of their papers we have counts for
13 papers
Heterogeneous Federated Learning via Personalized Generative Networks
Zahra Taghiyarrenani, Abdallah Alabdallah, Slawomir Nowaczyk +1
Federated Learning (FL) allows several clients to construct a common global machine-learning model without having to share their data. FL, however, faces the challenge of statistic…
Explainable Predictive Maintenance
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan +13
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including…
Learning Causal Mechanisms through Orthogonal Neural Networks
Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk
A fundamental feature of human intelligence is the ability to infer high-level abstractions from low-level sensory data. An essential component of such inference is the ability to…
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting
Guojun Liang, Prayag Tiwari, Sławomir Nowaczyk +2
Graph neural networks (GNNs), especially dynamic GNNs, have become a research hotspot in spatio-temporal forecasting problems. While many dynamic graph construction methods have be…
Information-Gathering in Latent Bandits
Alexander Galozy, Slawomir Nowaczyk
In the latent bandit problem, the learner has access to reward distributions and -- for the non-stationary variant -- transition models of the environment. The reward distributions…
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami +1
Feature selection is an intractable problem, therefore practical algorithms often trade off the solution accuracy against the computation time. In this paper, we propose a novel mu…
Pitfalls of Assessing Extracted Hierarchies for Multi-Class Classification
Pablo del Moral, Slawomir Nowaczyk, Anita Sant'Anna +1
Using hierarchies of classes is one of the standard methods to solve multi-class classification problems. In the literature, selecting the right hierarchy is considered to play a k…
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection
Ece Calikus, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia +1
In contextual anomaly detection, an object is only considered anomalous within a specific context. Most existing methods for CAD use a single context based on a set of user-specifi…
A New Bandit Setting Balancing Information from State Evolution and Corrupted Context
Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
We propose a new sequential decision-making setting, combining key aspects of two established online learning problems with bandit feedback. The optimal action to play at any given…
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models
Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson
The traditional paradigm for developing machine prognostics usually relies on generalization from data acquired in experiments under controlled conditions prior to deployment of th…
Machine learning in healthcare -- a system's perspective
Awais Ashfaq, Slawomir Nowaczyk
A consequence of the fragmented and siloed healthcare landscape is that patient care (and data) is split along multitude of different facilities and computer systems and enabling i…
No Free Lunch But A Cheaper Supper: A General Framework for Streaming Anomaly Detection
Ece Calikus, Slawomir Nowaczyk, Anita Sant'Anna +1
In recent years, there has been increased research interest in detecting anomalies in temporal streaming data. A variety of algorithms have been developed in the data mining commun…
A data-driven approach for discovering heat load patterns in district heating
Ece Calikus, Slawomir Nowaczyk, Anita Sant'Anna +2
Understanding the heat usage of customers is crucial for effective district heating operations and management. Unfortunately, existing knowledge about customers and their heat load…