Germain Forestier

Orcid: 0000-0002-4960-7554

Affiliations:
  • Université de Haute Alsace, France


According to our database1, Germain Forestier authored at least 135 papers between 2007 and 2024.

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Bibliography

2024
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.
ACM Comput. Surv., September, 2024

Correction: Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst., February, 2024

Look Into the LITE in Deep Learning for Time Series Classification.
CoRR, 2024

Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics.
CoRR, 2024

The impact of data set similarity and diversity on transfer learning success in time series forecasting.
CoRR, 2024

Finding Foundation Models for Time Series Classification with a PreText Task.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024

A Hands-on Introduction to Time Series Classification and Regression.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Improving Urban Tree Species Classification with High Resolution Satellite Imagery and Machine Learning.
Proceedings of the IGARSS 2024, 2024

LITE: Light Inception avec des Techniques de Boosting pour la Classification de Séries Temporelles.
Proceedings of the Extraction et Gestion des Connaissances, 2024

Apprentissage profond pour la classification de séries temporelles.
Proceedings of the Extraction et Gestion des Connaissances, 2024

2023
Estimating time series averages from latent space of multi-tasking neural networks.
Knowl. Inf. Syst., November, 2023

Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset.
Remote. Sens., January, 2023

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set.
CoRR, 2023

Exploring inference of a land use and land cover model trained on MultiSenGE dataset.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Enhancing Time Series Classification with Self-Supervised Learning.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

LITE: Light Inception with boosTing tEchniques for Time Series Classification.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Comparison of deep learning architectures for colon cancer mutation detection.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022
Surgical data science - from concepts toward clinical translation.
Medical Image Anal., 2022

End-to-end deep representation learning for time series clustering: a comparative study.
Data Min. Knowl. Discov., 2022

Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation.
Artif. Intell. Medicine, 2022

Ensemble Clustering for Histopathological Images Segmentation using Convolutional Autoencoders.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Smooth Perturbations for Time Series Adversarial Attacks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Deep Learning-Based Sentiment Analysis for Predicting Financial Movements.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Sentiment Analysis Based on Deep Learning in E-Commerce.
Proceedings of the Knowledge Science, Engineering and Management, 2022

A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Clustering Methods Study Applied to Satellite Images Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Incremental constrained clustering with application to remote sensing images time series.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters.
Proceedings of the IEEE International Conference on Big Data, 2022

Data Augmentation for Time Series Classification with Deep Learning Models.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021
An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology.
Comput. Methods Programs Biomed., 2021

Deep learning for colon cancer histopathological images analysis.
Comput. Biol. Medicine, 2021

Ensemble classification of video-recorded crowd movements.
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

Grad Centroid Activation Mapping for Convolutional Neural Networks.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
Graph-based description of tertiary lymphoid organs at single-cell level.
PLoS Comput. Biol., 2020

InceptionTime: Finding AlexNet for time series classification.
Data Min. Knowl. Discov., 2020

Surgical Data Science - from Concepts to Clinical Translation.
CoRR, 2020

An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images.
CoRR, 2020

A review of alignment based similarity measures for web usage mining.
Artif. Intell. Rev., 2020

Neural Architecture Search for Time Series Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Time Series Averaging Using Multi-Tasking Autoencoder.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Knowledge-Based Categorization of Scientific Articles for Similarity Predictions.
Proceedings of the Digital Libraries for Open Knowledge, 2020

Automated Machine Learning for Information Retrieval in Scientific Articles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Real-Time Detection of Glomeruli in Renal Pathology.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Constrained Clustering: Current and New Trends.
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms, 2020

2019
Crowdsourcing of Histological Image Labeling and Object Delineation by Medical Students.
IEEE Trans. Medical Imaging, 2019

Deep learning for time series classification: a review.
Data Min. Knowl. Discov., 2019

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2019

Deep Constrained Clustering applied to Satellite Image Time Series.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

Strategies for Training Stain Invariant CNNS.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Transfer learning for the classification of video-recorded crowd movements.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Adversarial Attacks on Deep Neural Networks for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Neural Network Ensembles for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels.
Proceedings of the Extraction et Gestion des connaissances, 2019

Automatic Alignment of Surgical Videos Using Kinematic Data.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
Constrained distance based clustering for time-series: a comparative and experimental study.
Data Min. Knowl. Discov., 2018

Optimizing dynamic time warping's window width for time series data mining applications.
Data Min. Knowl. Discov., 2018

Data augmentation using synthetic data for time series classification with deep residual networks.
CoRR, 2018

Surgical Data Science: A Consensus Perspective.
CoRR, 2018

On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error.
CoRR, 2018

Sequential surgical signatures in micro-suturing task.
Int. J. Comput. Assist. Radiol. Surg., 2018

Toward a standard ontology of surgical process models.
Int. J. Comput. Assist. Radiol. Surg., 2018

Surgical skills: Can learning curves be computed from recordings of surgical activities?
Int. J. Comput. Assist. Radiol. Surg., 2018

Evaluation of contactless human-machine interface for robotic surgical training.
Int. J. Comput. Assist. Radiol. Surg., 2018

Surgical motion analysis using discriminative interpretable patterns.
Artif. Intell. Medicine, 2018

Efficient search of the best warping window for Dynamic Time Warping.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Role of Task Complexity and Training in Crowdsourced Image Annotation.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Catégorisation d'articles scientifiques basée sur les relations sémantiques des mots-clés.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Transfer learning for time series classification.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Distinguishing surgical behavior by sequential pattern discovery.
J. Biomed. Informatics, 2017

Surgical Data Science: Enabling Next-Generation Surgery.
CoRR, 2017

Finding discriminative and interpretable patterns in sequences of surgical activities.
Artif. Intell. Medicine, 2017

Automatic matching of surgeries to predict surgeons' next actions.
Artif. Intell. Medicine, 2017

Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities.
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

Using Semantic Relations between Keywords to Categorize Articles from Scientific Literature.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Generating Synthetic Time Series to Augment Sparse Datasets.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Towards a Semantic Search Engine for Scientific Articles.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Comment fusionner des ontologies avec la réécriture de graphes ?
Tech. Sci. Informatiques, 2016

Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training.
IEEE Trans. Biomed. Eng., 2016

Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm.
Knowl. Inf. Syst., 2016

Semi-supervised learning using multiple clusterings with limited labeled data.
Inf. Sci., 2016

Detection of lobular structures in normal breast tissue.
Comput. Biol. Medicine, 2016

Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

A Benchmark for Ontologies Merging Assessment.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Web usage prediction and recommendation using web session clustering.
Proceedings of the Eleventh International Conference on Digital Information Management, 2016

2015
Algebraic graph transformations for formalizing ontology changes and evolving ontologies.
Knowl. Based Syst., 2015

Automatic phase prediction from low-level surgical activities.
Int. J. Comput. Assist. Radiol. Surg., 2015

Web Site Audience Segmentation Using Hybrid Alignment Techniques.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

Synthesizing whole slide images.
Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015

Une nouvelle formalisation des changements ontologiques composés et complexes.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
Domain-specific summarization of Life-Science e-experiments from provenance traces.
J. Web Semant., 2014

OntoVIP: An ontology for the annotation of object models used for medical image simulation.
J. Biomed. Informatics, 2014

Non-linear temporal scaling of surgical processes.
Artif. Intell. Medicine, 2014

Efficient Region-based Classification for Whole Slide Images.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2014

Fast Segmentation for Texture-based Cartography of whole Slide Images.
Proceedings of the VISAPP 2014, 2014

Algebraic Graph Transformations for Merging Ontologies.
Proceedings of the Model and Data Engineering - 4th International Conference, 2014

Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Approche formelle de fusion d'ontologies à l'aide des grammaires de graphes typés.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Apprentissage de règles floues pour caractériser des objets d'intérêt dans une image de télédétection.
Proceedings of the Fouille de Données Complexes, 2014, 2014

2013
A Virtual Imaging Platform for Multi-Modality Medical Image Simulation.
IEEE Trans. Medical Imaging, 2013

Multi-site study of surgical practice in neurosurgery based on surgical process models.
J. Biomed. Informatics, 2013

Coastal image interpretation using background knowledge and semantics.
Comput. Geosci., 2013

Big Metamodels Are Evil - Package Unmerge - A Technique for Downsizing Metamodels.
Proceedings of the Model-Driven Engineering Languages and Systems, 2013

Consistent Ontologies Evolution Using Graph Grammars.
Proceedings of the Knowledge Science, Engineering and Management, 2013

Analyzing the composition of cities using spatial clustering.
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, 2013

Learning fuzzy rules to characterize objects of interest from remote sensing images.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Stain unmixing in brightfield multiplexed immunohistochemistry.
Proceedings of the IEEE International Conference on Image Processing, 2013

Adaptation consistante d'ontologies à l'aide des grammaires de graphes.
Proceedings of the IC 2013 : 24es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 24th French Knowledge Engineering Conference), 2013

2012
Knowledge-based region labeling for remote sensing image interpretation.
Comput. Environ. Urban Syst., 2012

Classification of surgical processes using dynamic time warping.
J. Biomed. Informatics, 2012

Multi-modality image simulation with the Virtual Imaging Platform: Illustration on cardiac echography and MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Clustering de séquences d'activités pour l'étude de procédures neurochirurgicales.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011
SLEMC : Apprentissage semi-supervisé enrichi par de multiples clusterings.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Discovering Significant Evolution Patterns from Satellite Image Time Series.
Int. J. Neural Syst., 2011

Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP).
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

Sharing object models for multi-modality medical image simulation: A semantic approach.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation.
Pattern Recognit. Lett., 2010

Collaborative clustering with background knowledge.
Data Knowl. Eng., 2010

Background Knowledge Integration in Clustering Using Purity Indexes.
Proceedings of the Knowledge Science, 2010

Towards conflict resolution in collaborative clustering.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

Analysing Satellite Image Time Series by Means of Pattern Mining.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Comparaison de critères de pureté pour l'intégration de connaissances en clustering semi-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009
Improving Supervised Learning with Multiple Clusterings.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Multiresolution Remote Sensing Image Clustering.
IEEE Geosci. Remote. Sens. Lett., 2009

Mining Multiple Satellite Sensor Data Using Collaborative Clustering.
Proceedings of the ICDM Workshops 2009, 2009

2008
Multisource Images Analysis Using Collaborative Clustering.
EURASIP J. Adv. Signal Process., 2008

On Combining Unsupervised Classification and Ontology Knowledge.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Semi-supervised Collaborative Clustering with Partial Background Knowledge.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Interprétation d'images basée sur une approche évolutive guidée par une ontologie.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

An Evolutionary Approach for Ontology Driven Image Interpretation.
Proceedings of the Applications of Evolutionary Computing, 2008

2007
Ontology-Based Object Recognition for Remote Sensing Image Interpretation.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007


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