Kamil Faber

40 papers A* 2A 1B 9Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection.
J. Intell. Inf. Syst.
Collin Coil, Kamil Faber, Bartlomiej Sniezynski, Roberto Corizzo
2026 J jnl
Quality of Automatic Speech Recognition - Polish Language case study - from Wav2Vec to Scribe ElevenLabs.
CoRR
Marcin Pietron, Szymon Piórkowski, Kamil Faber, Dominik Zurek, Michal Karwatowski, Jerzy Duda, Hubert Zielinski, Piotr Lipnicki, Mikolaj Leszczuk
2026 J jnl
Rethinking the Harmonic Loss via Non-Euclidean Distance Layers.
CoRR
Maxwell Miller-Golub, Collin Coil, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo
2025 J jnl
AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2025 B conf
Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem.
IEEE Big Data
Dominik Zurek, Wieslaw Dudek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber
2025 J jnl
TinyAC: Bringing Autonomic Computing Principles to Resource-Constrained Systems.
CoRR
Wojciech Kalka, Ruitao Xue, Kamil Faber, Aleksander Slominski, Devki Nandan Jha, Rajiv Ranjan, Tomasz Szydlo
2025 A* conf
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy.
AAAI
Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2025 J jnl
pyCLAD: The universal framework for continual lifelong anomaly detection.
SoftwareX
Kamil Faber, Bartlomiej Sniezynski, Nathalie Japkowicz, Roberto Corizzo
2025 A* conf
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.
ICDM
Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2025 J jnl
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.
CoRR
Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2024 B conf
A Deep Double Q-Learning as a SDLS support in solving LABS problem.
ESANN
Dominik Zurek, Marcin Pietron, Kamil Pietak, Kamil Faber
2024 — conf
AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework.
GECCO Companion
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik
2024 J jnl
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024 J jnl
From MNIST to ImageNet and back: benchmarking continual curriculum learning.
Mach. Learn.
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2024 J jnl
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.
IEEE Access
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2024 B conf
RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem.
IEEE Big Data
Dominik Zurek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber
2024 J jnl
Solving Multi-Goal Robotic Tasks with Decision Transformer.
CoRR
Paul Gajewski, Dominik Zurek, Marcin Pietron, Kamil Faber
2024 J jnl
TinySubNets: An efficient and low capacity continual learning strategy.
CoRR
Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2024 — conf
Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection.
ICCS (3)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024 J jnl
Towards efficient deep autoencoders for multivariate time series anomaly detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 J jnl
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 A conf
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.
ECAI
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 J jnl
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 B conf
Distributed Continual Intrusion Detection: A Collaborative Replay Framework.
IEEE Big Data
Kamil Faber, Bartlomiej Sniezynski, Roberto Corizzo
2023 J jnl
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning.
CoRR
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2023 J jnl
Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.
CoRR
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2023 B conf
Transformed-*: A domain-incremental lifelong learning scenario generation framework.
IJCNN
Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber
2023 J jnl
VLAD: Task-agnostic VAE-based lifelong anomaly detection.
Neural Networks
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2022 B conf
Active Lifelong Anomaly Detection with Experience Replay.
DSAA
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2022 B conf
LIFEWATCH: Lifelong Wasserstein Change Point Detection.
IJCNN
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2022 — conf
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
CoLLAs
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
2022 — conf
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
AIMLSystems
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022 J jnl
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
CoRR
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022 J jnl
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.
CoRR
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2021 B conf
Autoencoder-based IDS for cloud and mobile devices.
CCGRID
Kamil Faber, Lukasz Faber, Bartlomiej Sniezynski
2021 J jnl
Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection.
Entropy
Kamil Faber, Marcin Pietron, Dominik Zurek
2021 J jnl
Ensemble neuroevolution based approach for multivariate time series anomaly detection.
CoRR
Kamil Faber, Dominik Zurek, Marcin Pietron, Kamil Pietak
2021 J jnl
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber
2021 — conf
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.
IEEE BigData
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2009 B conf
Rapid stereo-vision enhanced face detection.
ICIP
Sergey Kosov, Kristina Scherbaum, Kamil Faber, Thorsten Thormählen, Hans-Peter Seidel