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Applications of Deep Learning and Reinforcement Learning to Biological
  Data

Applications of Deep Learning and Reinforcement Learning to Biological Data

10 November 2017
M. S. M. Mahmud
M. S. Kaiser
Amir Hussain
S. Vassanelli
    OffRL
    AI4CE
ArXivPDFHTML

Papers citing "Applications of Deep Learning and Reinforcement Learning to Biological Data"

50 / 72 papers shown
Title
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Lars C.P.M. Quaedvlieg
56
0
0
31 Jan 2025
YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for
  Pediatric Wrist Fracture Detection
YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection
Rui-Yang Ju
Chun-Tse Chien
Jen-Shiun Chiang
22
2
0
27 Sep 2024
A Survey for Deep Reinforcement Learning Based Network Intrusion
  Detection
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Wanrong Yang
Alberto Acuto
Yihang Zhou
Dominik Wojtczak
OffRL
31
2
0
25 Sep 2024
Constructing Ancestral Recombination Graphs through Reinforcement
  Learning
Constructing Ancestral Recombination Graphs through Reinforcement Learning
Mélanie Raymond
Marie-Hélène Descary
Cédric Beaulac
Fabrice Larribe
20
1
0
17 Jun 2024
Progress and Opportunities of Foundation Models in Bioinformatics
Progress and Opportunities of Foundation Models in Bioinformatics
Qing Li
Zhihang Hu
Yixuan Wang
Lei Li
Yimin Fan
Irwin King
Le Song
Yu-Hu Li
AI4CE
35
9
0
06 Feb 2024
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated
  Driving Systems
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems
Amir Samadi
A. Shirian
K. Koufos
Kurt Debattista
M. Dianati
AAML
FAtt
LRM
11
8
0
28 Jul 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A
  Comprehensive Survey
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
Farhad Pourpanah
Ali Etemad
16
2
0
22 Jun 2023
Traffic Prediction using Artificial Intelligence: Review of Recent
  Advances and Emerging Opportunities
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Maryam Shaygan
Collin Meese
Wanxin Li
Xiaoliang (George) Zhao
Mark M. Nejad
22
108
0
31 May 2023
Counterfactual Explainer Framework for Deep Reinforcement Learning
  Models Using Policy Distillation
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation
Amir Samadi
K. Koufos
Kurt Debattista
M. Dianati
OffRL
22
3
0
25 May 2023
Machine Learning for Uncovering Biological Insights in Spatial
  Transcriptomics Data
Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data
Alex J. Lee
R. Cahill
R. Abbasi-Asl
13
2
0
29 Mar 2023
Probabilistic Attention based on Gaussian Processes for Deep Multiple
  Instance Learning
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
Arne Schmidt
Pablo Morales-Álvarez
Rafael Molina
16
13
0
08 Feb 2023
Improving the Timing Resolution of Positron Emission Tomography
  Detectors Using Boosted Learning -- A Residual Physics Approach
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning -- A Residual Physics Approach
S. Naunheim
Y. Kuhl
D. Schug
V. Schulz
F. Mueller
OOD
19
10
0
03 Feb 2023
Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systems
Seyyedamirhossein Saeidi
Forouzan Fallah
Saeed Samieezafarghandi
Hamed Farbeh
OffRL
16
0
0
03 Feb 2023
Automated Gadget Discovery in Science
Automated Gadget Discovery in Science
Lea M. Trenkwalder
Andrea López-Incera
Hendrik Poulsen Nautrup
Fulvio Flamini
H. Briegel
11
3
0
24 Dec 2022
Introduction to Machine Learning for Physicians: A Survival Guide for
  Data Deluge
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
OOD
LM&MA
FedML
21
2
0
23 Dec 2022
Actively Learning Costly Reward Functions for Reinforcement Learning
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
19
0
0
23 Nov 2022
Machine learning in bioprocess development: From promise to practice
Machine learning in bioprocess development: From promise to practice
L. M. Helleckes
J. Hemmerich
W. Wiechert
E. Lieres
A. Grünberger
21
47
0
04 Oct 2022
Offline Reinforcement Learning with Differentiable Function
  Approximation is Provably Efficient
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
Ming Yin
Mengdi Wang
Yu-Xiang Wang
OffRL
64
11
0
03 Oct 2022
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons
Christian Fabian
Kai Cui
Heinz Koeppl
AI4CE
49
3
0
08 Sep 2022
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial
  Training
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training
Zihang Xu
Zhenghua Xu
Shuo Zhang
Thomas Lukasiewicz
21
3
0
24 Jul 2022
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid
  Nodules on Ultrasound: An Artificial Intelligence Approach for Automating
  Image Annotation
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation
Jikai Zhang
Maciej Mazurowski
B. Allen
B. Wildman-Tobriner
31
6
0
28 Jun 2022
Predicting the Need for Blood Transfusion in Intensive Care Units with
  Reinforcement Learning
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
Yuqing Wang
Yun Zhao
Linda R. Petzold
OffRL
19
5
0
26 Jun 2022
BackLink: Supervised Local Training with Backward Links
BackLink: Supervised Local Training with Backward Links
Wenzhe Guo
M. Fouda
A. Eltawil
K. Salama
16
2
0
14 May 2022
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Yuting Yang
Licheng Jiao
Xuantong Liu
F. Liu
Shuyuan Yang
Zhixi Feng
Xu Tang
ViT
MedIm
22
28
0
24 Mar 2022
NFANet: A Novel Method for Weakly Supervised Water Extraction from
  High-Resolution Remote Sensing Imagery
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
Ming Lu
Leyuan Fang
Muxing Li
Bob Zhang
Yi Zhang
Pedram Ghamisi
24
30
0
10 Jan 2022
Brain Signals Analysis Based Deep Learning Methods: Recent advances in
  the study of non-invasive brain signals
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals
Almabrok E. Essa
H. Kotte
13
7
0
30 Dec 2021
Efficient Training of Spiking Neural Networks with Temporally-Truncated
  Local Backpropagation through Time
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Wenzhe Guo
M. Fouda
A. Eltawil
K. Salama
16
12
0
13 Dec 2021
A Benchmark for Low-Switching-Cost Reinforcement Learning
A Benchmark for Low-Switching-Cost Reinforcement Learning
Shusheng Xu
Yancheng Liang
Yunfei Li
S. Du
Yi Wu
OffRL
14
0
0
13 Dec 2021
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network
  Intrusion Detection System
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System
N. Fathima
Akshara Pramod
Yash Srivastava
Anusha Maria Thomas
S. Ibrahim
Chandran S P
11
0
0
03 Dec 2021
Cooperative Deep $Q$-learning Framework for Environments Providing Image
  Feedback
Cooperative Deep QQQ-learning Framework for Environments Providing Image Feedback
Krishnan Raghavan
Vignesh Narayanan
S. Jagannathan
VLM
OffRL
26
1
0
28 Oct 2021
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann
  Machines
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
Tobias Müller
Christoph Roch
Kyrill Schmid
Philipp Altmann
AI4CE
27
6
0
22 Sep 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
M. Guizani
OffRL
AI4TS
15
21
0
05 Aug 2021
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
16
49
0
29 May 2021
A Semi-Supervised Classification Method of Apicomplexan Parasites and
  Host Cell Using Contrastive Learning Strategy
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy
Yanni Ren
Hangyu Deng
Hao Jiang
Jinglu Hu
13
2
0
14 Apr 2021
Design and implementation of an environment for Learning to Run a Power
  Network (L2RPN)
Design and implementation of an environment for Learning to Run a Power Network (L2RPN)
Marvin Lerousseau
27
6
0
06 Apr 2021
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based
  Finger Control
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
A. Nguyen
Markus W. Drealan
Diu Khue Luu
Ming Jiang
Jian Xu
Jonathan Cheng
Qi Zhao
E. Keefer
Zhi-Xin Yang
25
26
0
24 Mar 2021
Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text
  Detection
Conceptual Text Region Network: Cognition-Inspired Accurate Scene Text Detection
Chenwei Cui
L. Lu
Zhiyuan Tan
Amir Hussain
14
5
0
16 Mar 2021
Parametrized quantum policies for reinforcement learning
Parametrized quantum policies for reinforcement learning
Sofiene Jerbi
Casper Gyurik
Simon Marshall
H. Briegel
Vedran Dunjko
28
101
0
09 Mar 2021
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic
  Platforms
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms
W. Olin-Ammentorp
Yury Sokolov
M. Bazhenov
OffRL
11
3
0
05 Mar 2021
Ensemble Bootstrapping for Q-Learning
Ensemble Bootstrapping for Q-Learning
Oren Peer
Chen Tessler
Nadav Merlis
Ron Meir
11
42
0
28 Feb 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve
  Optimism, Embrace Virtual Curvature
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong
Jiaqi Yang
Tengyu Ma
19
32
0
08 Feb 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain
  Discrete-Time Systems
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
Junya Ikemoto
T. Ushio
OffRL
14
5
0
13 Jan 2021
A Provably Efficient Algorithm for Linear Markov Decision Process with
  Low Switching Cost
A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost
Minbo Gao
Tianle Xie
S. Du
Lin F. Yang
20
45
0
02 Jan 2021
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A
  Survey and Future Research Directions
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Tien Nguyen
Samuel Yang
Peter W. Eklund
Thien Huynh-The
Thanh Tam Nguyen
Quoc-Viet Pham
Imran Razzak
Edbert B. Hsu
20
191
0
30 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Zhenshan Bing
Matthias Brucker
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
13
27
0
27 Jul 2020
A Reinforcement Learning Approach for Transient Control of Liquid Rocket
  Engines
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines
Günther Waxenegger-Wilfing
Kai Dresia
J. Deeken
M. Oschwald
11
17
0
19 Jun 2020
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention
  Network Approach
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
Yao Qiang
X. Li
D. Zhu
18
15
0
22 Mar 2020
Deep Learning in Mining Biological Data
Deep Learning in Mining Biological Data
M. S. M. Mahmud
M. S. Kaiser
Amir Hussain
AI4CE
20
286
0
28 Feb 2020
3D Aggregated Faster R-CNN for General Lesion Detection
3D Aggregated Faster R-CNN for General Lesion Detection
Ning Zhang
Yu Cao
Benyuan Liu
Yan Luo
MedIm
8
8
0
29 Jan 2020
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies
  on Signal Sensing Technologies and Computational Intelligence Approaches and
  their Applications
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Xiaotong Gu
Zehong Cao
A. Jolfaei
Peng Xu
Dongrui Wu
T. Jung
Chin-Teng Lin
15
230
0
28 Jan 2020
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