Peerapon Vateekul

Orcid: 0000-0001-9718-3592

Affiliations:
  • Chulalongkorn University, Bangkok, Thailand


According to our database1, Peerapon Vateekul authored at least 70 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification.
IEEE Access, 2024

Meta Lifelong-Learning With Selective and Task-Aware Adaptation.
IEEE Access, 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

Label-Aware Automatic Verbalizer for Few-Shot Text Classification.
CoRR, 2023

Spatio-Temporal PM2.5 Forecasting in Thailand Using Encoder-Decoder Networks.
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
A Summary of the ALQAC 2021 Competition.
CoRR, 2022

Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation.
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

A Summary of the ALQAC 2021 Competition.
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

Rational LAMOL: A Rationale-based Lifelong Learning Framework.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ESRA: Explainable Scientific Research Assistant.
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

Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data.
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

Deep Learning Using Risk-Reward Function for Stock Market Prediction.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Utilizing Twitter Data for Early Flood Warning in Thailand.
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

Partition-based overlapping clustering using cluster's parameters and relations.
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

Temporal kNN for short-term ocean current prediction based on HF radar observations.
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

A framework to detect unqualified restaurant reviews.
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
Item-Based Learning for Music Emotion Prediction Using EEG Data.
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

Label Correction Strategy on Hierarchical Multi-Label Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Controlling Quality of Water-Level Data in Thailand.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013
Improving SVM Performance in Multi-Label Domains: Threshold Adjustment.
Int. J. Artif. Intell. Tools, 2013

2011
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains.
Intell. Data Anal., 2011

2009
Tree-Based Approach to Missing Data Imputation.
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
A conflict-based confidence measure for associative classification.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008


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