Kamil Faber

J. Intell. Inf. Syst., February, 2026

2025

TinyAC: Bringing Autonomic Computing Principles to Resource-Constrained Systems.

[BibT_eX]

[DOI]

CoRR, September, 2025

AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2025

pyCLAD: The universal framework for continual lifelong anomaly detection.

[BibT_eX]

[DOI]

SoftwareX, 2025

xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2025

Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

TinySubNets: An Efficient and Low Capacity Continual Learning Strategy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

From MNIST to ImageNet and back: benchmarking continual curriculum learning.

[BibT_eX]

[DOI]

Mach. Learn., October, 2024

Solving Multi-Goal Robotic Tasks with Decision Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework.

[BibT_eX]

[DOI]

CoRR, 2024

Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.

[BibT_eX]

[DOI]

IEEE Access, 2024

Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2024, 2024

AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Deep Double Q-Learning as a SDLS support in solving LABS problem.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

2023

VLAD: Task-agnostic VAE-based lifelong anomaly detection.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.

[BibT_eX]

[DOI]

CoRR, 2023

AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.

[BibT_eX]

[DOI]

CoRR, 2023

Transformed-*: A domain-incremental lifelong learning scenario generation framework.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Distributed Continual Intrusion Detection: A Collaborative Replay Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

LIFEWATCH: Lifelong Wasserstein Change Point Detection.

[BibT_eX]

[DOI]

Michael Baron

Proceedings of the International Joint Conference on Neural Networks, 2022

Active Lifelong Anomaly Detection with Experience Replay.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.

[BibT_eX]

[DOI]

Gianmarco J. Gallardo

Michael R. Piacentino

Jesse Hostetler

Aswin Raghavan

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Marcin Pietron

Dominik Zurek

Entropy, 2021

Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection.

[BibT_eX]

[DOI]

Marcin Pietron

Dominik Zurek

CoRR, 2021

Ensemble neuroevolution based approach for multivariate time series anomaly detection.

[BibT_eX]

[DOI]

CoRR, 2021

Autoencoder-based IDS for cloud and mobile devices.

[BibT_eX]

[DOI]

Lukasz Faber

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.

[BibT_eX]

[DOI]

Michael Baron