Peerapon Vateekul
Orcid: 0000-0001-9718-3592Affiliations:
- Chulalongkorn University, Bangkok, Thailand
According to our database1,
Peerapon Vateekul
authored at least 77 papers
between 2008 and 2024.
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Bibliography
2024
Real-time gastric intestinal metaplasia segmentation using a deep neural network designed for multiple imaging modes on high-resolution images.
Knowl. Based Syst., 2024
Optimization of Peer-to-Peer Energy Trading With a Model-Based Deep Reinforcement Learning in a Non-Sharing Information Scenario.
IEEE Access, 2024
A Deep Learning Framework for Net Load Forecasting With Unsupervised Behind-the-Meter Disaggregated Data.
IEEE Access, 2024
IEEE Access, 2024
Explainable Multi-Modal Deep Learning With Cross-Modal Attention for Diagnosis of Dyssynergic Defecation Using Abdominal X-Ray Images and Symptom Questionnaire.
IEEE Access, 2024
CraNeXt: Automatic Reconstruction of Skull Implants With Skull Categorization Technique.
IEEE Access, 2024
Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
2023
Explainable Depression Detection Based on Facial Expression Using LSTM on Attentional Intermediate Feature Fusion with Label Smoothing.
Sensors, December, 2023
Towards improving the robustness of sequential labeling models against typographical adversarial examples using triplet loss.
Nat. Lang. Eng., March, 2023
Real-time gastric intestinal metaplasia diagnosis tailored for bias and noisy-labeled data with multiple endoscopic imaging.
Comput. Biol. Medicine, March, 2023
IEEE Access, 2023
Real-Time Identification of Malignant Biliary Strictures on Cholangioscopy Images Using Explainable Convolutional Neural Networks With Heatmaps.
IEEE Access, 2023
Drug Repurposing for Type 2 Diabetes Using Combined Textual and Structural Graph Representation Based on Transformer.
IEEE Access, 2023
Multi-Agent Deep Reinforcement Learning With Progressive Negative Reward for Cryptocurrency Trading.
IEEE Access, 2023
Sub-Seasonal Precipitation Bias-Correction in Thailand Using Attention U-Net With Seasonal and Meteorological Effects.
IEEE Access, 2023
2022
Comput. Linguistics, 2022
Model-Based Approach on Multi-Agent Deep Reinforcement Learning With Multiple Clusters for Peer-To-Peer Energy Trading.
IEEE Access, 2022
AI-Assisted Diagnosis of Dyssynergic Defecation Using Deep Learning Approach on Abdominal Radiography and Symptom Questionnaire.
Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022
2021
Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images.
Remote. Sens., 2021
Stock Trend Prediction Using Deep Learning Approach on Technical Indicator and Industrial Specific Information.
Inf., 2021
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021
Incorporating Prior Scientific Knowledge Into Deep Learning for Precipitation Nowcasting on Radar Images.
Proceedings of the 18th International Joint Conference on Computer Science and Software Engineering, 2021
Precipitation Nowcasting Using Deep Learning on Radar Data Augmented with Satellite Data.
Proceedings of the IAIT 2021: The 12th International Conference on Advances in Information Technology, Bangkok, Thailand, 29 June 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Adversarial Evaluation of Robust Neural Sequential Tagging Methods for Thai Language.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution.
Remote. Sens., 2020
Enhance Attentional LSTM Models for Power Consumption Forecasting Using Asymmetric Loss and Renewable Energy Factors.
Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020
Machine Reading Comprehension on Multiclass Questions Using Bidirectional Attention Flow Models with Contextual Embeddings and Transfer Learning in Thai Corpus.
Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020
Combining Angiodysplasia Classification and Segmentation on Capsule Endoscopy Images Using Attentional AlbuNet.
Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020
Explainable Deep Learning for Thai Stock Market Prediction Using Textual Representation and Technical Indicators.
Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2019
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning.
Remote. Sens., 2019
Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations.
CoRR, 2019
Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations.
BMC Bioinform., 2019
Improve Traffic Prediction Using Accident Embedding on Ensemble Deep Neural Networks.
Proceedings of the 11th International Conference on Knowledge and Smart Technology, 2019
Proceedings of the 16th International Joint Conference on Computer Science and Software Engineering, 2019
Combining Attentional CNN and GRU Networks for Ocean Current Prediction based on HF Radar Observations.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019
2018
Improving Short Text Classification Using Fast Semantic Expansion on Multichannel Convolutional Neural Network.
Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, 2018
Real-Time Polyps Segmentation for Colonoscopy Video Frames Using Compressed Fully Convolutional Network.
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018
Online Emerging Topic Detection on Twitter Using Random Forest with Stock Indicator Features.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018
Enhance Machine Reading Comprehension on Multiple Sentence Questions with Gated and Dense Coreference Information.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018
Enhance Accuracy of Hierarchical Text Categorization Based on Deep Learning Network Using Embedding Strategies.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018
A Comparative Study on Various Deep Learning Techniques for Thai NLP Lexical and Syntactic Tasks on Noisy Data.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018
Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields.
Remote. Sens., 2017
Fault detection for circulating water pump using time series forecasting and outlier detection.
Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017
Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017
A character-level convolutional neural network with dynamic input length for Thai text categorization.
Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017
Applying One-Versus-One SVMs to classify multi-label data with large labels using spark.
Proceedings of the 9th International Conference on Knowledge and Smart Technology, 2017
Proceedings of the 14th International Joint Conference on Computer Science and Software Engineering, 2017
An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery.
Proceedings of the Recent Advances in Information and Communication Technology 2017, 2017
Ocean surface current prediction based on HF radar observations using trajectory-oriented association rule mining.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Road map extraction from satellite imagery using connected component analysis and landscape metrics.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Understanding knowledge areas in curriculum through text mining from course materials.
Proceedings of the IEEE International Conference on Teaching, 2016
Combining deep convolutional networks and SVMs for mass detection on digital mammograms.
Proceedings of the 8th International Conference on Knowledge and Smart Technology, 2016
An adjustment strategy on multi-session EEG data for online left/right hand imagery classification.
Proceedings of the 8th International Conference on Knowledge and Smart Technology, 2016
Enhance accuracy of partition-based overlapping clustering by exploiting benefit of distances between clusters.
Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016
Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering, 2016
Applying active learning strategy to classify large scale data with imbalanced classes.
Proceedings of the 2016 International Conference on Control, 2016
2015
Proceedings of the Principles and Practice of Multi-Agent Systems, 2015
2014
Hierarchical multi-label classification with SVMs: A case study in gene function prediction.
Intell. Data Anal., 2014
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014
2013
Int. J. Artif. Intell. Tools, 2013
2011
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains.
Intell. Data Anal., 2011
2009
Proceedings of the ICDM Workshops 2009, 2009
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data.
Proceedings of the ICDM Workshops 2009, 2009
2008
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008