Associate Professor of Computer Science at @UHA68 / @Ensisa_Mulhouse machine learning - computer vision - time series - human motion analysis
Mulhouse, France
Joined September 2019
- Tweets140
- Following330
- Followers110
- Likes483
Devanne Maxime retweeted
Check out the ShapeDBA paper here: ecml-aaltd.github.io/aaltd20…
source code: github.com/MSD-IRIMAS/Weight…
Thanks to the co-authors @MaximeDevanne @stefano_berrett @jjmweber and @gforestier
Devanne Maxime retweeted
The 1st #MovementAnalysis dataset for #PhysicalRehabilitation with patients data throughout a 3w clinical care with @poppy_project will be presented at #IJCNN #WCCI #WCCI2024
🕝Thu, July 4, 2024 14:20 ML - Mixture models session
📃nguyensmai.free.fr/KeraalDat…
📽️youtu.be/3JcuXye-I4A
So excited
📣medical report & patient-therapist evaluation of the #RobotCoach #RobotPoppy for #PhysicalRehabilitation in clinical trial 🏥
by @remy_neris @CHRU_Brest @MaximeDevanne @MatSimonnet @IMTAtlantique @GenerationRobot is
👉 doi.org/10.1155/2022/5667223
youtu.be/db1XVXrc-oM
Devanne Maxime retweeted
*** Call for Papers ***
IEEE International Conference on Automatic Face and Gesture Recognition (FG 2025)
June 3 – 5, 2025, Clearwater, USA.
fg2025.ieee-biometrics.org
*** Important Dates ***
Round 1
Paper submission: September 23rd, 2024, 11:59pm
Devanne Maxime retweeted
I am again involved in organising the AALTD workshop at the ECML/PKDD conference in September in Vilnius. Papers published in Springer LNCS. Submission deadline is approaching ecml-aaltd.github.io/aaltd20…
Devanne Maxime retweeted
Last week we released aeon v0.9 which introduces the foundation of the new anomaly detection module, some fixes to pipelines, improved loading capacities for deep learning networks and deprecations to move transformations over to a new interface in 0.10. Thx to all contributiors!
Devanne Maxime retweeted
bake off redux is online first, it reviews and compares recent algorithms for time series classification using the @aeon_toolkit for the vast majority of experiments link.springer.com/article/10…
Devanne Maxime retweeted
9th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2024): ecml-aaltd.github.io/aaltd20…
Devanne Maxime retweeted
I am happy to share that my paper titled "A Supervised Variational Auto-Encoder for Human Motion Generation using Convolutional Neural Networks" has been accepted at the 4th International Conference on Pattern Recognition and Artificial Intelligence #ICPRAI2024
Devanne Maxime retweeted
9th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2024) event located at the @ECMLPKDD 2024. Learn more about ML and temporal data analysis! @heerme @ml_labs_irl @UCDCompSci @rtavenar
👉🏼 More info: ecml-aaltd.github.io/aaltd20…
Devanne Maxime retweeted
I am glad to share that my paper titled "Finding Foundation Models for Time Series Classification with a PreText Task" has been accepted at the International Workshop on Temporal Analytics #IWTA at the Pacific-Asia Conference on Knowledge Discovery and Data Mining #PAKDD2024
Devanne Maxime retweeted
📢📢📢 Paper submissions to FG'24 main conference is over! However, you can still submit to workshops, take part in competitions, and submit a demo.
Demo submissions: fg2024.ieee-biometrics.org/c…
Workshops: fg2024.ieee-biometrics.org/w…
Competitions: fg2024.ieee-biometrics.org/c…
Devanne Maxime retweeted
You can now simply use ShapeDBA in @aeon_toolkit !
You can use it to generate prototypes and even clustering !
I am glad to share that my paper titled "ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging" is accepted at the 8th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2023) in conjunction with @ECMLPKDD .
Devanne Maxime retweeted
I am glad to share that my paper titled "LITE: Light Inception with boosTing tEchniques for Time Series Classification" is accepted at the 2023 International Conference on Data Science and Advanced Analytics @IEEEDSAA 's special session on Learning from Temporal Data. – at Lebanon
Devanne Maxime retweeted
I am glad to share that my paper titled "ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging" is accepted at the 8th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2023) in conjunction with @ECMLPKDD .
Devanne Maxime retweeted
Call for papers: Interested by Generative AI, submit your papers to the ICIAP workshop « Generation of Human Face and Body Behavior » sites.google.com/view/ghb202…
@stefano_berrett @IAPR_TC12
Devanne Maxime retweeted
Bake off redux is on arxiv. Overview of recent advances in time series classification and aeon used in the evaluation of 33 classifiers on 142 problems, inc. 30 new to the archive. arxiv.org/abs/2304.13029 @giwebb
Devanne Maxime retweeted
You can now use aeon-toolkit to use Deep Learning Models for Time Series Classification including InceptionTime, CNN etc. with our hand-crafted filters !
github.com/aeon-toolkit/aeon…
aeon-toolkit : aeon-toolkit.org
custom filters : maxime-devanne.com/pages/HCC…
![[ENH] For classification: Adding InceptionTime, CNN and ResNet along with other classifiers and...](https://pbs.twimg.com/card_img/2114193240509251584/2K2xyD_-?format=jpg&name=800x419)
I would like to share that my paper on "Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters" was accepted at the 2022 IEEE International Conference on Big Data done with @MaximeDevanne, @jjmweber and @gforestier.
#IEEEBigData2022
