Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals. - Boonserm Kijsirikul; Masayuki Numao; Masamichi Shimura (ML, 1991)

Discrimination-Based Constructive Induction of Logic Programs. - Boonserm Kijsirikul; Masayuki Numao; Masamichi Shimura (AAAI, 1992)

Combining Trigram and Winnow in Thai OCR Error Correction. - Surapant Meknavin; Boonserm Kijsirikul; Ananlada Chotimongkol; Cholwich Nattee (COLING-ACL, 1998)

Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition. - Boonserm Kijsirikul; Sukree Sinthupinyo (ILP, 1999)

Supervised and Unsupervised Learning Algorithms for Thai Web Pages Identification. - Boonserm Kijsirikul; Puay Sasiphongpairoege; Nuanwan Soonthornphisaj; Surapant Meknavin (PRICAI, 2000)

The Effects of Differnet Feature Sets on the Web Page Categorization Problem Using the Iterative Cross-Training Algorithm. - Nuanwan Soonthornphisaj; Boonserm Kijsirikul (ICEIS (1), 2001)

Support Vector Machines for Thai Phoneme Recognition. - Nuttakorn Thubthong; Boonserm Kijsirikul (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Tone Recognition of Continuous Thai Speech Under Tonal Assimilation and Declination Effects Using Half-Tone Model. - Nuttakorn Thubthong; Boonserm Kijsirikul (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Approximate Match of Rules Using Backpropagation Neural Networks. - Boonserm Kijsirikul; Sukree Sinthupinyo; Kongsak Chongkasemwongse (Mach. Learn., 2001)

Fuzzy Logic and Genetic Algorithm for Optimizing the Approximate Match of Rules based on Backpropagation Neural Networks. - Jun Srisutapan; Boonserm Kijsirikul (FSKD, 2002)

Tone recognition in Thai continuous speech based on coarticulaion, intonation and stress effects. - Nuttakorn Thubthong; Boonserm Kijsirikul; Sudaporn Luksaneeyanawin (INTERSPEECH, 2002)

Adaptive Directed Acyclic Graphs for Multiclass Classification. - Boonserm Kijsirikul; Nitiwut Ussivakul; Surapant Meknavin (PRICAI, 2002)

A Method for Isolated Thai Tone Recognition Using a Combination of Neural Networks. - Nuttakorn Thubthong; Boonserm Kijsirikul; Apirath Pusittrakul (Comput. Intell., 2002)

Learning First-Order Bayesian Networks. - Ratthachat Chatpatanasiri; Boonserm Kijsirikul (AI, 2003)

Detection of connecting points in Thai printed characters by combining inductive logic programming with backpropagation neural network. - Sukree Sinthupinyo; Luepol Pipanmaekaporn; Boonserm Kijsirikul (ICIAP, 2003)

Reordering adaptive directed acyclic graphs: an improved algorithm for multiclass support vector machines. - Thimaporn Phetkaew; Boonserm Kijsirikul; Wanchai Rivepiboon (IJCNN, 2003)

Upgrading ILP Rules to First-Order Bayesian Networks. - Ratthachat Chatpatanasiri; Boonserm Kijsirikul (PAKDD, 2003)

Iterative cross-training: An algorithm for web page categorization. - Nuanwan Soonthornphisaj; Boonserm Kijsirikul (Intell. Data Anal., 2003)

Reordering Adaptive Directed Acyclic Graphs for Multiclass Support Vector Machines. - Thimaporn Phetkaew; Wanchai Rivepiboon; Boonserm Kijsirikul (J. Adv. Comput. Intell. Intell. Informatics, 2003)

Using Associative Classification for Predicting HIV-1 Drug Resistance. - Anantaporn Srisawat; Boonserm Kijsirikul (HIS, 2004)

Combining ILP with Semi-supervised Learning for Web Page Categorization. - Nuanwan Soonthornphisaj; Boonserm Kijsirikul (International Conference on Computational Intelligence, 2004)

Improving Multiclass ILP by Combining Partial Rules with Winnow Algorithm: Results on Classification of Dopamine Antagonist Molecules. - Sukree Sinthupinyo; Cholwich Nattee; Masayuki Numao; Takashi Okada; Boonserm Kijsirikul (JSAI Workshops, 2004)

Multiclass Support Vector Machines Using Balanced Dichotomization. - Boonserm Kijsirikul; Narong Boonsirisumpun; Yachai Limpiyakorn (PRICAI, 2004)

Iterative cross-training: An algorithm for learning from unlabeled Web pages. - Nuanwan Soonthornphisaj; Boonserm Kijsirikul (Int. J. Intell. Syst., 2004)

Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors. - Jittat Fakcharoenphol; Boonserm Kijsirikul (ALT, 2005)

Evolutionary strategies for multi-scale radial basis function kernels in support vector machines. - Tanasanee Phienthrakul; Boonserm Kijsirikul (GECCO, 2005)

First-Order Logical Neural Networks. - Boonserm Kijsirikul; Thanupol Lerdlamnaochai (Int. J. Hybrid Intell. Syst., 2005)

Migration Analysis: An Alternative Approach for Analyzing Learning Performance. - Prasertsak Pungprasertying; Ratthachat Chatpatanasiri; Boonserm Kijsirikul (ICPR (2), 2006)

Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels. - Tanasanee Phienthrakul; Boonserm Kijsirikul (IIP, 2006)

MRBF: A Method for Predicting HIV-1 Drug Resistance. - Anantaporn Srisawat; Boonserm Kijsirikul (IIP, 2006)

SV-kNNC: An Algorithm for Improving the Efficiency of k-Nearest Neighbor. - Anantaporn Srisawat; Tanasanee Phienthrakul; Boonserm Kijsirikul (PRICAI, 2006)

GPES: An algorithm for evolving hybrid kernel functions of Support Vector Machines. - Tanasanee Phienthrakul; Boonserm Kijsirikul (IEEE Congress on Evolutionary Computation, 2007)

Chronic Fatigue Syndrome Diagnosis Using Feature-based Fuzzy Fusion. - Nuanwan Soonthornphisaj; Thanarat Rattana-ubon; Boonserm Kijsirikul (IMECS, 2007)

Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors. - Jittat Fakcharoenphol; Boonserm Kijsirikul (ALT, 2008)

Combining Technical Analysis and Support Vector Machine for Stock Trading. - Pittipol Kantavat; Boonserm Kijsirikul (HIS, 2008)

Pseudometrics for time series classification by nearest neighbor. - Teesid Korsrilabutr; Boonserm Kijsirikul (IJCNN, 2008)

Adaptive stabilized multi-RBF kernel for Support Vector Regression. - Tanasanee Phienthrakul; Boonserm Kijsirikul (IJCNN, 2008)

Information-based dichotomization: A method for multiclass Support Vector Machines. - Patoomsiri Songsiri; Boonserm Kijsirikul; Thimaporn Phetkaew (IJCNN, 2008)

On Kernelization of Supervised Mahalanobis Distance Learners - Ratthachat Chatpatanasiri; Teesid Korsrilabutr; Pasakorn Tangchanachaianan; Boonserm Kijsirikul (CoRR, 2008)

Low congestion online routing and an improved mistake bound for online prediction of graph labeling - Jittat Fakcharoenphol; Boonserm Kijsirikul (CoRR, 2008)

Predicting HIV-1 Drug Resistance: A Comparison of Three Learning Algorithms. - Anantaporn Srisawat; Boonserm Kijsirikul (BMEI, 2009)

Sentiment Classification with Support Vector Machines and Multiple Kernel Functions. - Tanasanee Phienthrakul; Boonserm Kijsirikul; Hiroya Takamura; Manabu Okumura (ICONIP (2), 2009)

Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score. - Peratham Wiriyathammabhum; Boonserm Kijsirikul (ICONIP (1), 2009)

Zone analysis: a visualization framework for classification problems. - Ratthachat Chatpatanasiri; Prasertsak Pungprasertying; Boonserm Kijsirikul (Artif. Intell. Rev., 2009)

A unified semi-supervised dimensionality reduction framework for manifold learning. - Ratthachat Chatpatanasiri; Boonserm Kijsirikul (Neurocomputing, 2010)

A new kernelization framework for Mahalanobis distance learning algorithms. - Ratthachat Chatpatanasiri; Teesid Korsrilabutr; Pasakorn Tangchanachaianan; Boonserm Kijsirikul (Neurocomputing, 2010)

Short proofs for online multiclass prediction on graphs. - Jittat Fakcharoenphol; Boonserm Kijsirikul (Inf. Process. Lett., 2010)

Evolutionary strategies for hyperparameters of support vector machines based on multi-scale radial basis function kernels. - Tanasanee Phienthrakul; Boonserm Kijsirikul (Soft Comput., 2010)

Applying Deep Belief Networks to Word Sense Disambiguation - Peratham Wiriyathammabhum; Boonserm Kijsirikul; Hiroya Takamura; Manabu Okumura (CoRR, 2012)

Robust Principal Component Analysis Using Statistical Estimators - Peratham Wiriyathammabhum; Boonserm Kijsirikul (CoRR, 2012)

Enhancements of Multi-class Support Vector Machine Construction from Binary Learners using Generalization Performance. - Patoomsiri Songsiri; Thimaporn Phetkaew; Boonserm Kijsirikul (CoRR, 2013)

Sub-classifier construction for error correcting output code using minimum weight perfect matching. - Patoomsiri Songsiri; Thimaporn Phetkaew; Ryutaro Ichise; Boonserm Kijsirikul (IJCNN, 2014)

Enhancement of multi-class support vector machine construction from binary learners using generalization performance. - Patoomsiri Songsiri; Thimaporn Phetkaew; Boonserm Kijsirikul (Neurocomputing, 2015)

Estimating Reflectance Parameter of Polyp using Medical Suture Information in Endoscope Image. - Yuji Iwahori; Daiki Yamaguchi; Tsuyoshi Nakamura; Boonserm Kijsirikul; Manas Kamal Bhuyan; Kunio Kasugai (ICPRAM, 2016)

Thai Printed Character Recognition Using Long Short-Term Memory and Vertical Component Shifting. - Taweesak Emsawas; Boonserm Kijsirikul (PRICAI, 2016)

Tracking with Extraction of Moving Object under Moving Camera Environment. - Daimu Oiwa; Shinji Fukui 001; Yuji Iwahori; Boonserm Kijsirikul; Tsuyoshi Nakamura; Manas Kamal Bhuyan (KES, 2017)

Probabilistic Background Model by Density Forests for Tracking. - Daimu Oiwa; Shinji Fukui 001; Yuji Iwahori; Tsuyoshi Nakamura; Boonserm Kijsirikul; Manas Kamal Bhuyan (Int. J. Softw. Innov., 2017)

Recovering Polyp Shape from an Endoscope Image Using Two Light Sources. - Hiroyasu Usami; Yuji Iwahori; Yuki Hanai; Boonserm Kijsirikul; Kunio Kasugai (Int. J. Softw. Innov., 2017)

Efficient All-and-One Support Vector Machines Based on One-versus-All Data Inseparability. - Patoomsiri Songsiri; Boonserm Kijsirikul (IRI, 2018)

Defect Classification of Electronic Board Using Dense SIFT and CNN. - Yuji Iwahori; Yohei Takada; Tokiko Shiina; Yoshinori Adachi; Manas Kamal Bhuyan; Boonserm Kijsirikul (KES, 2018)

Efficient Decision Trees for Multi-Class Support Vector Machines Using Entropy and Generalization Error Estimation. - Pittipol Kantavat; Boonserm Kijsirikul; Patoomsiri Songsiri; Ken-ichi Fukui; Masayuki Numao (Int. J. Appl. Math. Comput. Sci., 2018)

Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy. - Patoomsiri Songsiri; Vladimir Cherkassky; Boonserm Kijsirikul (Knowl. Based Syst., 2018)

Classification of Benign or Malignant Cell Nuclei using Nucleolus. - Noriaki Kobayashi; Yuji Iwahori; Takashi Iwamoto; Jun Ueda; Boonserm Kijsirikul; Aili Wang 001 (IIAI-AAI, 2019)

Shape Recovery of Polyp Using Blood Vessel Detection and Matching Estimation by U-Net. - Hibiki Toda; Yuji Iwahori; Hiroyasu Usami; Boonserm Kijsirikul; Manas Kamal Bhuyan; Naotaka Ogasawara; Kunio Kasugai (IIAI-AAI, 2019)

Detecting and Removing Specular Reflectance Components Based on Image Linearization. - Ryosuke Nakao; Yuji Iwahori; Yoshinori Adachi; Aili Wang 001; Manas Kamal Bhuyan; Boonserm Kijsirikul (KES, 2019)

A Method of Data Augmentation for Classifying Road Damage Considering Influence on Classification Accuracy. - Haruki Tsuchiya; Shinji Fukui 001; Yuji Iwahori; Yoshitsugu Hayashi; Witsarut Achariyaviriya; Boonserm Kijsirikul (KES, 2019)

Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening. - Panayu Keelawat; Nattapong Thammasan; Masayuki Numao; Boonserm Kijsirikul (CoRR, 2019)

CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. - Konpat Preechakul; Boonserm Kijsirikul (CoRR, 2019)

A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. - Thanapapas Horsuwan; Kasidis Kanwatchara; Peerapon Vateekul; Boonserm Kijsirikul (ACIIDS (1), 2020)

Wellhead Compressor Failure Prediction Using Attention-based Bidirectional LSTMs with Data Reduction Techniques. - Wirasak Chomphu; Boonserm Kijsirikul (ICCDA, 2020)

Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting. - Pongpisit Thanasutives; Ken-ichi Fukui; Masayuki Numao; Boonserm Kijsirikul (ICPR, 2020)

Interdependent Multi-task Learning for Simultaneous Segmentation and Detection. - Mahesh Reginthala; Yuji Iwahori; Manas Kamal Bhuyan; Yoshitsugu Hayashi; Witsarut Achariyaviriya; Boonserm Kijsirikul (ICPRAM, 2020)

Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis. - Shunsuke Kato 002; Hiroyasu Usami; Yuji Iwahori; Akihiko Okazaki; Boonserm Kijsirikul; Naotaka Ogasawara; Kunio Kasugai (IIAI-AAI, 2020)

Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images. - Tatsuki Ono; Yuji Iwahori; Hiroyasu Usami; Boonserm Kijsirikul; Manas Kamal Bhuyan; Taihei Oshiro; Yasuhiro Shimizu (IIAI-AAI, 2020)

Automatic Construction of Dataset with Automatic Annotation for Object Detection. - Naoki Watanabe 002; Shinji Fukui 001; Yuji Iwahori; Yoshitsugu Hayashi; Witsarut Achariyaviriya; Boonserm Kijsirikul (KES, 2020)

High resolution weakly supervised localization architectures for medical images. - Konpat Preechakul; Sira Sriswasdi; Boonserm Kijsirikul; Ekapol Chuangsuwanich (CoRR, 2020)

Rational LAMOL: A Rationale-based Lifelong Learning Framework. - Kasidis Kanwatchara; Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Boonserm Kijsirikul; Peerapon Vateekul (ACL/IJCNLP (1), 2021)

A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN. - Panayu Keelawat; Nattapong Thammasan; Masayuki Numao; Boonserm Kijsirikul (Sensors, 2021)

A Deep Neural Networks model for Restaurant Recommendation systems in Thailand. - Apisara Saelim; Boonserm Kijsirikul (ICMLC, 2022)

Deep Neural Network for Estimating Value of Quality of Life in Driving Scenes. - Shinji Fukui 001; Naoki Watanabe 002; Yuji Iwahori; Pittipol Kantavat; Boonserm Kijsirikul; Hiroyuki Takeshita; Yoshitsugu Hayashi; Akihiko Okazaki (ICPRAM, 2022)

Efficient Image Embedding for Fine-Grained Visual Classification. - Soranan Payatsuporn; Boonserm Kijsirikul (KST, 2022)

Voice Impersonation for Thai Speech Using CycleGAN over Prosody. - Chatri Chuangulueam; Boonserm Kijsirikul; Nuttakorn Thubthong (MSIE, 2022)

Mediastinal Lymph Node Detection and Segmentation Using Deep Learning. - Al-Akhir Nayan; Boonserm Kijsirikul; Yuji Iwahori (IEEE Access, 2022)

The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder With Atrous Depthwise Separable A1 Convolutional Neural Networks. - Kitsaphon Thitisiriwech; Teerapong Panboonyuen; Pittipol Kantavat; Yuji Iwahori; Boonserm Kijsirikul (IEEE Access, 2022)

Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation. - Kasidis Kanwatchara; Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Boonserm Kijsirikul; Peerapon Vateekul (Comput. Linguistics, 2022)

Coronavirus disease situation analysis and prediction using machine learning: a study on Bangladeshi population. - Al-Akhir Nayan; Boonserm Kijsirikul; Yuji Iwahori (CoRR, 2022)

Extraction and Calculation of Roadway Area from Satellite Images Using Improved Deep Learning Model and Post-Processing. - Varun Yerram; Hiroyuki Takeshita; Yuji Iwahori; Yoshitsugu Hayashi; Manas Kamal Bhuyan; Shinji Fukui 001; Boonserm Kijsirikul; Aili Wang 001 (J. Imaging, 2022)

Estimating QOL from Car View Scene using Deep Neural Network and Clustering Approach. - Naoki Watanabe 002; Yuji Iwahori; Shinji Fukui 001; Akihiko Okazaki; Pittipol Kantavat; Boonserm Kijsirikul; Hiroyuki Takeshita; Yoshitsugu Hayashi (KES, 2023)

MLP-UNet: Glomerulus Segmentation. - Franchis N. Saikia; Yuji Iwahori; Taisei Suzuki; Manas Kamal Bhuyan; Aili Wang 001; Boonserm Kijsirikul (IEEE Access, 2023)

Enhancing Network Visibility and Security with Advanced Port Scanning Techniques. - Rana Abu Bakar; Boonserm Kijsirikul (Sensors, 2023)

Cross-Modality Medical Image Registration with Local-Global Spatial Correlation. - Souraja Kundu; Yuji Iwahori; Manas Kamal Bhuyan; Manish Bhatt; Boonserm Kijsirikul; Aili Wang 001; Akira Ouchi; Yasuhiro Shimizu (ICPR (11), 2024)

Improved Method for Estimating Quality of Life Values of Images in Driving Scenes. - Shinji Fukui 001; Yuji Iwahori; Pittipol Kantavat; Boonserm Kijsirikul; Hiroyuki Takeshita; Yoshitsugu Hayashi (KES, 2024)

Meta Lifelong-Learning With Selective and Task-Aware Adaptation. - Thanapapas Horsuwan; Piyawat Lertvittayakumjorn; Kasidis Kanwatchara; Boonserm Kijsirikul; Peerapon Vateekul (IEEE Access, 2024)

Navigating Malignancy: Deep Learning for Mediastinal Lymph Node Classification. - Al-Akhir Nayan; Boonserm Kijsirikul; Yuji Iwahori (IEEE Access, 2024)

Automatic MRI Lymph Node Annotation From CT Labels. - Souraja Kundu; Yuji Iwahori; Manas Kamal Bhuyan; Manish Bhatt; Boonserm Kijsirikul; Aili Wang 001; Akira Ouchi; Yasuhiro Shimizu (IEEE Access, 2025)

Papillary Thyroid Carcinoma Semantic Segmentation Using Multi-Scale Adaptive Convolutional Network With Dual Decoders. - Thanat Payatsuporn; Pittipol Kantavat; Nichthida Tangnuntachai; Nopporn Tipparawong; Waratchanok Techapapa; Boonserm Kijsirikul; Somboon Keelawat (IEEE Access, 2025)