TCANet for motor imagery EEG classification
๐ฅ Github: https://github.com/tliby/unifork
๐ Paper: https://link.springer.com/article/10.1007/s11571-025-10275-5
๐ Dataset: https://paperswithcode.com/task/brain-computer-interface
@Machine_learn
๐ฅ Github: https://github.com/tliby/unifork
๐ Paper: https://link.springer.com/article/10.1007/s11571-025-10275-5
๐ Dataset: https://paperswithcode.com/task/brain-computer-interface
@Machine_learn
Forwarded from Papers
ุจุง ุนุฑุถ ุณูุงู
ููุฑุงุช ูข ุชุง ูค ูุงุจู ุงุถุงูู ุดุฏู ุจู ู
ูุงูู ุฒูุฑ ู
ู ุจุงุดุฏ.
Title:Probability latent for Recurrent Neural Networks Basic deficiencies
abstract:
Time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of the time concept in deep recurrent networks has led to more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of back-propagation. The problem of selecting feature order is an NP-complete problem. . ..... The proposed approach has an improvement of 0.49 over the reviewed approaches in some benchmarks.
Price:
2:500$
3:400$
4:250$
@Raminmousa
@Machine_learn
@Paper4money
Title:Probability latent for Recurrent Neural Networks Basic deficiencies
abstract:
Time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of the time concept in deep recurrent networks has led to more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of back-propagation. The problem of selecting feature order is an NP-complete problem. . ..... The proposed approach has an improvement of 0.49 over the reviewed approaches in some benchmarks.
Price:
2:500$
3:400$
4:250$
@Raminmousa
@Machine_learn
@Paper4money
โค1
Article Title:
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
PDF Download Link:
https://arxiv.org/pdf/2505.24298v2.pdf
GitHub:
โข https://github.com/inclusionai/areal
Datasets:
โข MATH
@Machine_learn
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
PDF Download Link:
https://arxiv.org/pdf/2505.24298v2.pdf
GitHub:
โข https://github.com/inclusionai/areal
Datasets:
โข MATH
@Machine_learn
ุจุง ุนุฑุถ ุณูุงู
ููุงุฒู
ูุฏ ุดุฎุตู ูุณุชูู
ูู ุจุชููู ุฏุฑ ูพุฑฺูู MedicalRec ุจู ู
ุง ูู
ู ููู.
Git:https://github.com/Ramin1Mousa/MedicalRec
ูุฏู ุงูู ูพุฑฺูู ุงุฑุงุฆู ู ูู ุฑููุงู ูุฏุฑ ุฏุฑ ุญูุฒู ูพุฒุดูู ุงุณุช ูู ุงุฒ ุชุฑูู ู ุฌุฏุฏ ุดุจูู ูุง ุฌฺููฏูุฑู ููู. ูู ู ูุฌุฑ ุจู ุตุฑู ุฌูู ุฏุฑ ูุฒููู ู ุตุฑู ุฌูู ุฏุฑ ุงูุฑฺู ู ุตุฑูู ู ูุดู.
ู ุฌู ูุนู ุฏุงุฏู ูุง ุดุงู ู ูฃู ู ู ู ูุงูู ุจูุฏู ูู ูุงู ู ุทู ูฃ ู ุงู ุฌู ุน ุงูุฑู ุดุฏู ุงุณุช.
ูุฒููู ู ุดุงุฑูุช ูฅู ู $ ูุณุชุด ู ุงุณู ุจู ุนููุงู ููุฑ ุฏูู ุฏุฑ ูุธุฑ ฺฏุฑูุชู ู ูุดู.
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
If: 18.6
@Raminmousa
Git:https://github.com/Ramin1Mousa/MedicalRec
ูุฏู ุงูู ูพุฑฺูู ุงุฑุงุฆู ู ูู ุฑููุงู ูุฏุฑ ุฏุฑ ุญูุฒู ูพุฒุดูู ุงุณุช ูู ุงุฒ ุชุฑูู ู ุฌุฏุฏ ุดุจูู ูุง ุฌฺููฏูุฑู ููู. ูู ู ูุฌุฑ ุจู ุตุฑู ุฌูู ุฏุฑ ูุฒููู ู ุตุฑู ุฌูู ุฏุฑ ุงูุฑฺู ู ุตุฑูู ู ูุดู.
ู ุฌู ูุนู ุฏุงุฏู ูุง ุดุงู ู ูฃู ู ู ู ูุงูู ุจูุฏู ูู ูุงู ู ุทู ูฃ ู ุงู ุฌู ุน ุงูุฑู ุดุฏู ุงุณุช.
ูุฒููู ู ุดุงุฑูุช ูฅู ู $ ูุณุชุด ู ุงุณู ุจู ุนููุงู ููุฑ ุฏูู ุฏุฑ ูุธุฑ ฺฏุฑูุชู ู ูุดู.
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
If: 18.6
@Raminmousa
GitHub
GitHub - Ramin1Mousa/MedicalRec: MedRec: Medical recommender system for image classification without retraining
MedRec: Medical recommender system for image classification without retraining - Ramin1Mousa/MedicalRec
โค2
Machine learning books and papers pinned ยซุจุง ุนุฑุถ ุณูุงู
ููุงุฒู
ูุฏ ุดุฎุตู ูุณุชูู
ูู ุจุชููู ุฏุฑ ูพุฑฺูู MedicalRec ุจู ู
ุง ูู
ู ููู. Git:https://github.com/Ramin1Mousa/MedicalRec ูุฏู ุงูู ูพุฑฺูู ุงุฑุงุฆู ู ูู ุฑููุงู
ูุฏุฑ ุฏุฑ ุญูุฒู ูพุฒุดูู ุงุณุช ูู ุงุฒ ุชุฑูู ู
ุฌุฏุฏ ุดุจูู ูุง ุฌฺููฏูุฑู ููู. ูู ู
ูุฌุฑ ุจู ุตุฑู ุฌูู ุฏุฑ ูุฒููู ู ุตุฑู ุฌูู ุฏุฑ ุงูุฑฺูโฆยป
SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation Learning
๐ Read
@Machine_learn
๐ Read
@Machine_learn
๐ Large Language Models in GenomicsโA Perspective on Personalized Medicine
๐ Study the paper
@Machine_learn
๐ Study the paper
@Machine_learn
Forwarded from Papers
ุจุง ุนุฑุถ ุณูุงู
ููุงุฒู
ูุฏ ุดุฎุตู ูุณุชูู
ูู ุจุชููู ุฏุฑ ูพุฑฺูู MedicalRec ุจู ู
ุง ูู
ู ููู.
Git:https://github.com/Ramin1Mousa/MedicalRec
ูุฏู ุงูู ูพุฑฺูู ุงุฑุงุฆู ู ูู ุฑููุงู ูุฏุฑ ุฏุฑ ุญูุฒู ูพุฒุดูู ุงุณุช ูู ุงุฒ ุชุฑูู ู ุฌุฏุฏ ุดุจูู ูุง ุฌฺููฏูุฑู ููู. ูู ู ูุฌุฑ ุจู ุตุฑู ุฌูู ุฏุฑ ูุฒููู ู ุตุฑู ุฌูู ุฏุฑ ุงูุฑฺู ู ุตุฑูู ู ูุดู.
ู ุฌู ูุนู ุฏุงุฏู ูุง ุดุงู ู ูฃู ู ู ู ูุงูู ุจูุฏู ูู ูุงู ู ุทู ูฃ ู ุงู ุฌู ุน ุงูุฑู ุดุฏู ุงุณุช.
ูุฒููู ู ุดุงุฑูุช ูฅู ู $ ูุณุชุด ู ุงุณู ุจู ุนููุงู ููุฑ ุฏูู ุฏุฑ ูุธุฑ ฺฏุฑูุชู ู ูุดู.
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
If: 18.6
@Raminmousa
Git:https://github.com/Ramin1Mousa/MedicalRec
ูุฏู ุงูู ูพุฑฺูู ุงุฑุงุฆู ู ูู ุฑููุงู ูุฏุฑ ุฏุฑ ุญูุฒู ูพุฒุดูู ุงุณุช ูู ุงุฒ ุชุฑูู ู ุฌุฏุฏ ุดุจูู ูุง ุฌฺููฏูุฑู ููู. ูู ู ูุฌุฑ ุจู ุตุฑู ุฌูู ุฏุฑ ูุฒููู ู ุตุฑู ุฌูู ุฏุฑ ุงูุฑฺู ู ุตุฑูู ู ูุดู.
ู ุฌู ูุนู ุฏุงุฏู ูุง ุดุงู ู ูฃู ู ู ู ูุงูู ุจูุฏู ูู ูุงู ู ุทู ูฃ ู ุงู ุฌู ุน ุงูุฑู ุดุฏู ุงุณุช.
ูุฒููู ู ุดุงุฑูุช ูฅู ู $ ูุณุชุด ู ุงุณู ุจู ุนููุงู ููุฑ ุฏูู ุฏุฑ ูุธุฑ ฺฏุฑูุชู ู ูุดู.
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
If: 18.6
@Raminmousa
Article Title:
AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
PDF Download Link:
https://arxiv.org/pdf/2502.05957v2.pdf
GitHub:
โข https://github.com/hkuds/autoagent
โข https://github.com/hkuds/auto-deep-research
@Machine_learn
AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents
PDF Download Link:
https://arxiv.org/pdf/2502.05957v2.pdf
GitHub:
โข https://github.com/hkuds/autoagent
โข https://github.com/hkuds/auto-deep-research
@Machine_learn
โค4
Forwarded from Papers
ุจุง ุนุฑุถ ุณูุงู
ู
ูุงูู ู
ุฑูุฑู ุชุญุช ุนููุงู ุฒูุฑ ุฑู ููุดุชูู
ูุฑุฏุง ูุฑุงุฑ ุณุงุจู
ูุช ุจุดู ุงฺฏุฑ ูุณู ุงุฒ ุฏูุณุชุงู ุฎูุงุณุช ู
ูุชููู ุจุฑุงู ุฌุงฺูฏุงู ุณูู
ุงูุฏุงู
ููู.
Survey on evaluation metrics for learning system
@Raminmousa
@paper4money
Survey on evaluation metrics for learning system
@Raminmousa
@paper4money
Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends
๐ฅ Github: https://github.com/aoqunjin/awesome-vla-post-training
๐ Paper: https://arxiv.org/pdf/2506.20966v1.pdf
๐ Dataset: https://paperswithcode.com/dataset/imagenet1
@Machine_learn
๐ฅ Github: https://github.com/aoqunjin/awesome-vla-post-training
๐ Paper: https://arxiv.org/pdf/2506.20966v1.pdf
๐ Dataset: https://paperswithcode.com/dataset/imagenet1
@Machine_learn
โค2