Boonserm Kijsirikul

Orcid: 0000-0002-9046-7151

According to our database1, Boonserm Kijsirikul authored at least 90 papers between 1991 and 2024.

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

Timeline

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Bibliography

2024
Meta Lifelong-Learning With Selective and Task-Aware Adaptation.
IEEE Access, 2024

2023
Enhancing Network Visibility and Security with Advanced Port Scanning Techniques.
Sensors, September, 2023

MLP-UNet: Glomerulus Segmentation.
IEEE Access, 2023

Estimating QOL from Car View Scene using Deep Neural Network and Clustering Approach.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022
Extraction and Calculation of Roadway Area from Satellite Images Using Improved Deep Learning Model and Post-Processing.
J. Imaging, 2022

Coronavirus disease situation analysis and prediction using machine learning: a study on Bangladeshi population.
CoRR, 2022

Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation.
Comput. Linguistics, 2022

The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder With Atrous Depthwise Separable A1 Convolutional Neural Networks.
IEEE Access, 2022

Mediastinal Lymph Node Detection and Segmentation Using Deep Learning.
IEEE Access, 2022

Voice Impersonation for Thai Speech Using CycleGAN over Prosody.
Proceedings of the MSIE 2022: 4th International Conference on Management Science and Industrial Engineering, Chiang Mai Thailand, April 28, 2022

Efficient Image Embedding for Fine-Grained Visual Classification.
Proceedings of the 14th International Conference on Knowledge and Smart Technology, 2022

Deep Neural Network for Estimating Value of Quality of Life in Driving Scenes.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

A Deep Neural Networks model for Restaurant Recommendation systems in Thailand.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2021
A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN.
Sensors, 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

2020
High resolution weakly supervised localization architectures for medical images.
CoRR, 2020

Automatic Construction of Dataset with Automatic Annotation for Object Detection.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images.
Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis.
Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

Interdependent Multi-task Learning for Simultaneous Segmentation and Detection.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Wellhead Compressor Failure Prediction Using Attention-based Bidirectional LSTMs with Data Reduction Techniques.
Proceedings of the ICCDA 2020: The 4th International Conference on Compute and Data Analysis, 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

2019
CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity.
CoRR, 2019

Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening.
CoRR, 2019

A Method of Data Augmentation for Classifying Road Damage Considering Influence on Classification Accuracy.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Detecting and Removing Specular Reflectance Components Based on Image Linearization.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Shape Recovery of Polyp Using Blood Vessel Detection and Matching Estimation by U-Net.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Classification of Benign or Malignant Cell Nuclei using Nucleolus.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

2018
Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy.
Knowl. Based Syst., 2018

Efficient Decision Trees for Multi-Class Support Vector Machines Using Entropy and Generalization Error Estimation.
Int. J. Appl. Math. Comput. Sci., 2018

Defect Classification of Electronic Board Using Dense SIFT and CNN.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Efficient All-and-One Support Vector Machines Based on One-versus-All Data Inseparability.
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

2017
Recovering Polyp Shape from an Endoscope Image Using Two Light Sources.
Int. J. Softw. Innov., 2017

Probabilistic Background Model by Density Forests for Tracking.
Int. J. Softw. Innov., 2017

Tracking with Extraction of Moving Object under Moving Camera Environment.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

2016
Thai Printed Character Recognition Using Long Short-Term Memory and Vertical Component Shifting.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Estimating Reflectance Parameter of Polyp using Medical Suture Information in Endoscope Image.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015
Enhancement of multi-class support vector machine construction from binary learners using generalization performance.
Neurocomputing, 2015

2014
Sub-classifier construction for error correcting output code using minimum weight perfect matching.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Enhancements of Multi-class Support Vector Machine Construction from Binary Learners using Generalization Performance.
CoRR, 2013

2012
Robust Principal Component Analysis Using Statistical Estimators
CoRR, 2012

Applying Deep Belief Networks to Word Sense Disambiguation
CoRR, 2012

2010
Evolutionary strategies for hyperparameters of support vector machines based on multi-scale radial basis function kernels.
Soft Comput., 2010

Short proofs for online multiclass prediction on graphs.
Inf. Process. Lett., 2010

A new kernelization framework for Mahalanobis distance learning algorithms.
Neurocomputing, 2010

A unified semi-supervised dimensionality reduction framework for manifold learning.
Neurocomputing, 2010

2009
Zone analysis: a visualization framework for classification problems.
Artif. Intell. Rev., 2009

Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Sentiment Classification with Support Vector Machines and Multiple Kernel Functions.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Predicting HIV-1 Drug Resistance: A Comparison of Three Learning Algorithms.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
Low congestion online routing and an improved mistake bound for online prediction of graph labeling
CoRR, 2008

On Kernelization of Supervised Mahalanobis Distance Learners
CoRR, 2008

Information-based dichotomization: A method for multiclass Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2008

Adaptive stabilized multi-RBF kernel for Support Vector Regression.
Proceedings of the International Joint Conference on Neural Networks, 2008

Pseudometrics for time series classification by nearest neighbor.
Proceedings of the International Joint Conference on Neural Networks, 2008

Combining Technical Analysis and Support Vector Machine for Stock Trading.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007
Chronic Fatigue Syndrome Diagnosis Using Feature-based Fuzzy Fusion.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

GPES: An algorithm for evolving hybrid kernel functions of Support Vector Machines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
SV-kNNC: An Algorithm for Improving the Efficiency of k-Nearest Neighbor.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

MRBF: A Method for Predicting HIV-1 Drug Resistance.
Proceedings of the Intelligent Information Processing III, 2006

Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels.
Proceedings of the Intelligent Information Processing III, 2006

Migration Analysis: An Alternative Approach for Analyzing Learning Performance.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
First-Order Logical Neural Networks.
Int. J. Hybrid Intell. Syst., 2005

Evolutionary strategies for multi-scale radial basis function kernels in support vector machines.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004
Iterative cross-training: An algorithm for learning from unlabeled Web pages.
Int. J. Intell. Syst., 2004

Multiclass Support Vector Machines Using Balanced Dichotomization.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Improving Multiclass ILP by Combining Partial Rules with Winnow Algorithm: Results on Classification of Dopamine Antagonist Molecules.
Proceedings of the New Frontiers in Artificial Intelligence - JSAI 2003 and JSAI 2004 Conferences and Workshops, Niigata, Japan, June 23-27, 2003 and Kanazawa, Japan, May 31, 2004

Combining ILP with Semi-supervised Learning for Web Page Categorization.
Proceedings of the International Conference on Computational Intelligence, 2004

Using Associative Classification for Predicting HIV-1 Drug Resistance.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

2003
Reordering Adaptive Directed Acyclic Graphs for Multiclass Support Vector Machines.
J. Adv. Comput. Intell. Intell. Informatics, 2003

Iterative cross-training: An algorithm for web page categorization.
Intell. Data Anal., 2003

Upgrading ILP Rules to First-Order Bayesian Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Detection of connecting points in Thai printed characters by combining inductive logic programming with backpropagation neural network.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Learning First-Order Bayesian Networks.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
A Method for Isolated Thai Tone Recognition Using a Combination of Neural Networks.
Comput. Intell., 2002

Adaptive Directed Acyclic Graphs for Multiclass Classification.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Tone recognition in Thai continuous speech based on coarticulaion, intonation and stress effects.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Fuzzy Logic and Genetic Algorithm for Optimizing the Approximate Match of Rules based on Backpropagation Neural Networks.
Proceedings of the FSDK'02, 2002

2001
Approximate Match of Rules Using Backpropagation Neural Networks.
Mach. Learn., 2001

Tone Recognition of Continuous Thai Speech Under Tonal Assimilation and Declination Effects Using Half-Tone Model.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Support Vector Machines for Thai Phoneme Recognition.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

The Effects of Differnet Feature Sets on the Web Page Categorization Problem Using the Iterative Cross-Training Algorithm.
Proceedings of the ICEIS 2001, 2001

2000
Supervised and Unsupervised Learning Algorithms for Thai Web Pages Identification.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

1999
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998
Combining Trigram and Winnow in Thai OCR Error Correction.
Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998

1992
Discrimination-Based Constructive Induction of Logic Programs.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals.
Proceedings of the Eighth International Workshop (ML91), 1991


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