Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2410.19241
Cited By
v1
v2 (latest)
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
25 October 2024
Shuchen Meng
Andi Chen
Chihang Wang
Mengyao Zheng
Fangyu Wu
Xupeng Chen
Haowei Ni
Panfeng Li
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models"
30 / 30 papers shown
Title
UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
Lihe Yang
Zhen Zhao
Hengshuang Zhao
VLM
40
12
0
10 Jan 2025
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning
Zixiang Wang
Hao Yan
Changsong Wei
Junyu Wang
Shi Bo
101
42
0
31 Dec 2024
Recent Advancement of Emotion Cognition in Large Language Models
Yuyan Chen
Yanghua Xiao
OffRL
73
8
0
20 Sep 2024
Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning
Huili Zheng
Qimin Zhang
Yiru Gong
Zheyan Liu
Shaohan Chen
83
21
0
28 Aug 2024
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
Haowei Ni
Shuchen Meng
Xupeng Chen
Ziqing Zhao
Andi Chen
Panfeng Li
Shiyao Zhang
Qifu Yin
Yuanqing Wang
Yuxi Chan
AIFin
90
34
0
13 Aug 2024
Attention Mechanism and Context Modeling System for Text Mining Machine Translation
Shi Bo
Yuwei Zhang
Junming Huang
Sitong Liu
Zexi Chen
88
30
0
08 Aug 2024
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
Haoran Yu
Chang Yu
Zihan Wang
Dongxian Zou
Hao Qin
AI4MH
LM&MA
69
25
0
08 Aug 2024
XMeCap: Meme Caption Generation with Sub-Image Adaptability
Yuyan Chen
Songzhou Yan
Zhihong Zhu
Zhixu Li
Yanghua Xiao
VLM
108
11
0
24 Jul 2024
Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
Letian Xu
Jiabei Liu
Haopeng Zhao
Tianyao Zheng
Tongzhou Jiang
Lipeng Liu
72
13
0
18 Jul 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen
Zhihao Wen
Ge Fan
Zhengyu Chen
Wei Wu
Dayiheng Liu
Zhixu Li
Bang Liu
Yanghua Xiao
80
19
0
04 Jul 2024
When Search Engine Services meet Large Language Models: Visions and Challenges
Haoyi Xiong
Jiang Bian
Yuchen Li
Xuhong Li
Jundong Li
Shuaiqiang Wang
Dawei Yin
Sumi Helal
106
36
0
28 Jun 2024
Prioritized experience replay-based DDQN for Unmanned Vehicle Path Planning
Liu Lipeng
Letian Xu
Jiabei Liu
Haopeng Zhao
Tongzhou Jiang
Tianyao Zheng
68
9
0
25 Jun 2024
TD3 Based Collision Free Motion Planning for Robot Navigation
Hao Liu
Yi Shen
Chang Zhou
Yuelin Zou
Zijun Gao
Qi Wang
88
25
0
24 May 2024
Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research
Shaojie Li
Xinqi Dong
Danqing Ma
Bo Dang
Hengyi Zang
Yulu Gong
54
29
0
21 Mar 2024
Fostc3net:A Lightweight YOLOv5 Based On the Network Structure Optimization
Danqing Ma
Shaojie Li
Bo Dang
Hengyi Zang
Xinqi Dong
65
29
0
20 Mar 2024
Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks
Panfeng Li
M. Abouelenien
Rada Mihalcea
Zhicheng Ding
Qikai Yang
Yiming Zhou
82
77
0
18 Nov 2023
Patch-based Selection and Refinement for Early Object Detection
Tianyi Zhang
Kishore Kasichainula
Yaoxin Zhuo
Baoxin Li
Jae-sun Seo
Yu Cao
66
5
0
03 Nov 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Yong Liu
Tengge Hu
Haoran Zhang
Haixu Wu
Shiyu Wang
Lintao Ma
Mingsheng Long
AI4TS
90
528
0
10 Oct 2023
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning
Yuelyu Ji
Yuhe Gao
Runxue Bao
Qi Li
Di Liu
Yiming Sun
Ye Ye
OOD
68
20
0
29 Jun 2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Vijayabharathi Ekambaram
Arindam Jati
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AI4TS
118
156
0
14 Jun 2023
Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT
Tong Xie
Yuwei Wan
Wei-Ping Huang
Yufei Zhou
Yixuan Liu
...
Shaozhou Wang
Chunyu Kit
Clara Grazian
Weinan Zhang
Hoex
61
52
0
05 Apr 2023
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit
Ping Chang
Huayu Li
S. Quan
Shuyang Lu
Shu-Fen Wung
Janet Roveda
Ao Li
DiffM
61
20
0
16 Jan 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TS
AIFin
139
809
0
05 Oct 2022
Can Language Understand Depth?
Renrui Zhang
Ziyao Zeng
Ziyu Guo
Yafeng Li
VLM
MDE
79
73
0
03 Jul 2022
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis
Wanyu Bian
Qingchao Zhang
X. Ye
Yunmei Chen
DRL
63
22
0
08 Apr 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
248
1,429
0
30 Jan 2022
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation
Yuyan Chen
Yanghua Xiao
Bang Liu
55
17
0
13 Jan 2022
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
HAI
3DV
104
2,728
0
01 Apr 2020
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
A. Sherstinsky
92
3,725
0
09 Aug 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
321
20,070
0
07 Oct 2016
1