Simon Malinowski

Orcid: 0000-0002-9663-562X

According to our database1, Simon Malinowski authored at least 51 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Minimum Recall-Based Loss Function for Imbalanced Time Series Classification.
IEEE Trans. Knowl. Data Eng., October, 2023

MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters.
Proc. ACM Comput. Graph. Interact. Tech., August, 2023

Graph-based image gradients aggregated with random forests.
Pattern Recognit. Lett., February, 2023

A Novel Method for Temporal Graph Classification based on Transitive Reduction.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Filtering Safe Temporal Motifs in Dynamic Graphs for Dissemination Purposes.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Human Activity Segmentation Challenge @ ECML/PKDD'23.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022
Impact of Data Cleansing for Urban Bus Commercial Speed Prediction.
SN Comput. Sci., 2022

AIP: Adversarial Interaction Priors for Multi-Agent Physics-based Character Control.
Proceedings of the SIGGRAPH Asia 2022 Posters, 2022

Temporal Disaggregation of the Cumulative Grass Growth.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Désagrégation temporelle du cumul annuel de croissance de l'herbe.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Prédiction du niveau de nappes phréatiques : comparaison d'approches locale, globale et hybride.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Descriptive Image Gradient from Edge-Weighted Image Graph and Random Forests.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

2020
Adversarial Regularization for Explainable-by-Design Time Series Classification.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
On time series classification with dictionary-based classifiers.
Intell. Data Anal., 2019

Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization.
CoRR, 2019

Localized Random Shapelets.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

Combining convolutional side-outputs for road image segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Toward a Framework for Seasonal Time Series Forecasting Using Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

BRIEF-Based Mid-Level Representations for Time Series Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
Day-ahead time series forecasting: application to capacity planning.
CoRR, 2018

From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers.
CoRR, 2018

Time Series Retrieval Using DTW-Preserving Shapelets.
Proceedings of the Similarity Search and Applications - 11th International Conference, 2018

PerForecast : un outil de prévision de l'évolution de séries temporelles pour le planning capacitaire.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Evaluation of Bag-of-Word Performance for Time Series Classification Using Discriminative SIFT-Based Mid-Level Representations.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
Direct Remaining Useful Life Estimation Based on Support Vector Regression.
IEEE Trans. Ind. Electron., 2017

Efficient Temporal Kernels Between Feature Sets for Time Series Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Learning DTW-Preserving Shapelets.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016
Feature selection for fault detection systems: application to the Tennessee Eastman process.
Appl. Intell., 2016

Cost-Aware Early Classification of Time Series.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Extraction des zones cohérentes par l'analyse spatio-temporelle d'images de télédétection.
Rev. Int. Géomatique, 2015

Remaining useful life estimation based on discriminating shapelet extraction.
Reliab. Eng. Syst. Saf., 2015

Fault diagnosis in DSL networks using support vector machines.
Comput. Commun., 2015

Sequential Pattern Mining on Multimedia Data.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Bag-of-Temporal-SIFT-Words for Time Series Classification.
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Dense Bag-of-Temporal-SIFT-Words for Time Series Classification.
Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

2014
Event and Anomaly Detection Using Tucker3 Decomposition.
CoRR, 2014

RUL prediction based on a new similarity-instance based approach.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014

1d-SAX : une nouvelle représentation symbolique pour les séries temporelles.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Shapelet-based remaining useful life estimation.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013
On the comprehension of DSL SyncTrap events in IPTV networks.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

1d-SAX: A Novel Symbolic Representation for Time Series.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012
Towards the improvement of diagnostic metrics Fault diagnosis for DSL-Based IPTV networks using the Rényi entropy.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

A Single Pass Trellis-Based Algorithm for Clustering Evolving Data Streams.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2009
Distributed coding using punctured quasi-arithmetic codes for memory and memoryless sources.
IEEE Trans. Signal Process., 2009

Computation of posterior marginals on aggregated state models for soft source decoding.
IEEE Trans. Commun., 2009

2008
Codes joints source-canal pour transmission robuste sur canaux mobiles. (Joint source-channel codes for robust transmission on mobile channels).
PhD thesis, 2008

Error Recovery Properties and Soft Decoding of Quasi-Arithmetic Codes.
EURASIP J. Adv. Signal Process., 2008

Overlapped arithmetic codes with memory.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Synchronization Recovery and State Model Reduction for Soft Decoding of Variable Length Codes.
IEEE Trans. Inf. Theory, 2007

Overlapped Quasi-Arithmetic Codes for Distributed Video Coding.
Proceedings of the International Conference on Image Processing, 2007

2006
Error recovery properties of quasi-arithmetic codes and soft decoding with length constraint.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006


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