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2020 – today
- 2024
- [j27]Thanapapas Horsuwan
, Piyawat Lertvittayakumjorn
Meta Lifelong-Learning With Selective and Task-Aware Adaptation. IEEE Access 12: 34099-34115 (2024) - [j26]Al-Akhir Nayan
Navigating Malignancy: Deep Learning for Mediastinal Lymph Node Classification. IEEE Access 12: 167347-167366 (2024) - [c57]Souraja Kundu, Yuji Iwahori, Manas Kamal Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu:
Cross-Modality Medical Image Registration with Local-Global Spatial Correlation. ICPR (11) 2024: 112-126 - 2023
- [j25]Franchis N. Saikia
MLP-UNet: Glomerulus Segmentation. IEEE Access 11: 53034-53047 (2023) - [j24]Rana Abu Bakar
Enhancing Network Visibility and Security with Advanced Port Scanning Techniques. Sensors 23(17): 7541 (2023) - [c56]Naoki Watanabe, Yuji Iwahori, Shinji Fukui, Akihiko Okazaki, Pittipol Kantavat, Boonserm Kijsirikul, Hiroyuki Takeshita, Yoshitsugu Hayashi:
Estimating QOL from Car View Scene using Deep Neural Network and Clustering Approach. KES 2023: 2361-2370 - 2022
- [j23]Kitsaphon Thitisiriwech
The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder With Atrous Depthwise Separable A1 Convolutional Neural Networks. IEEE Access 10: 59327-59349 (2022) - [j22]Al-Akhir Nayan
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning. IEEE Access 10: 89289-89307 (2022) - [j21]Kasidis Kanwatchara
Enhancing Lifelong Language Learning by Improving Pseudo-Sample Generation. Comput. Linguistics 48(4): 819-848 (2022) - [j20]Varun Yerram
Extraction and Calculation of Roadway Area from Satellite Images Using Improved Deep Learning Model and Post-Processing. J. Imaging 8(5): 124 (2022) - [c55]Apisara Saelim, Boonserm Kijsirikul:
A Deep Neural Networks model for Restaurant Recommendation systems in Thailand. ICMLC 2022: 103-109 - [c54]Shinji Fukui, Naoki Watanabe, Yuji Iwahori, Pittipol Kantavat, Boonserm Kijsirikul, Hiroyuki Takeshita, Yoshitsugu Hayashi, Akihiko Okazaki:
Deep Neural Network for Estimating Value of Quality of Life in Driving Scenes. ICPRAM 2022: 616-621 - [c53]Soranan Payatsuporn, Boonserm Kijsirikul:
Efficient Image Embedding for Fine-Grained Visual Classification. KST 2022: 40-45 - [c52]Chatri Chuangulueam, Boonserm Kijsirikul, Nuttakorn Thubthong:
Voice Impersonation for Thai Speech Using CycleGAN over Prosody. MSIE 2022: 443-447 - [i14]Al-Akhir Nayan, Boonserm Kijsirikul, Yuji Iwahori:
Coronavirus disease situation analysis and prediction using machine learning: a study on Bangladeshi population. CoRR abs/2207.13056 (2022) - [i13]Al-Akhir Nayan, Boonserm Kijsirikul, Yuji Iwahori:
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning. CoRR abs/2212.11956 (2022) - 2021
- [j19]Panayu Keelawat, Nattapong Thammasan
A Comparative Study of Window Size and Channel Arrangement on EEG-Emotion Recognition Using Deep CNN. Sensors 21(5): 1678 (2021) - [c51]Kasidis Kanwatchara
Rational LAMOL: A Rationale-based Lifelong Learning Framework. ACL/IJCNLP (1) 2021: 2942-2953 - 2020
- [c50]Thanapapas Horsuwan
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. ACIIDS (1) 2020: 63-75 - [c49]Wirasak Chomphu
Wellhead Compressor Failure Prediction Using Attention-based Bidirectional LSTMs with Data Reduction Techniques. ICCDA 2020: 16-22 - [c48]Pongpisit Thanasutives
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting. ICPR 2020: 2382-2389 - [c47]Mahesh Reginthala, Yuji Iwahori, Manas Kamal Bhuyan, Yoshitsugu Hayashi, Witsarut Achariyaviriya, Boonserm Kijsirikul:
Interdependent Multi-task Learning for Simultaneous Segmentation and Detection. ICPRAM 2020: 167-174 - [c46]Tatsuki Ono, Yuji Iwahori, Hiroyasu Usami
Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images. IIAI-AAI 2020: 471-474 - [c45]Shunsuke Kato, Hiroyasu Usami
Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis. IIAI-AAI 2020: 493-498 - [c44]Naoki Watanabe, Shinji Fukui, Yuji Iwahori
Automatic Construction of Dataset with Automatic Annotation for Object Detection. KES 2020: 1763-1772 - [i12]Pongpisit Thanasutives, Ken-ichi Fukui, Masayuki Numao, Boonserm Kijsirikul:
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting. CoRR abs/2003.05586 (2020) - [i11]Konpat Preechakul, Sira Sriswasdi, Boonserm Kijsirikul, Ekapol Chuangsuwanich:
High resolution weakly supervised localization architectures for medical images. CoRR abs/2010.11475 (2020)
2010 – 2019
- 2019
- [c43]Hibiki Toda, Yuji Iwahori
Shape Recovery of Polyp Using Blood Vessel Detection and Matching Estimation by U-Net. IIAI-AAI 2019: 450-453 - [c42]Noriaki Kobayashi, Yuji Iwahori
Classification of Benign or Malignant Cell Nuclei using Nucleolus. IIAI-AAI 2019: 579-582 - [c41]Haruki Tsuchiya, Shinji Fukui, Yuji Iwahori
A Method of Data Augmentation for Classifying Road Damage Considering Influence on Classification Accuracy. KES 2019: 1449-1458 - [c40]Ryosuke Nakao, Yuji Iwahori
Detecting and Removing Specular Reflectance Components Based on Image Linearization. KES 2019: 1576-1583 - [i10]Panayu Keelawat, Nattapong Thammasan, Masayuki Numao, Boonserm Kijsirikul:
Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening. CoRR abs/1910.09719 (2019) - [i9]Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul:
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization. CoRR abs/1912.01580 (2019) - [i8]Konpat Preechakul, Boonserm Kijsirikul:
CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. CoRR abs/1912.11493 (2019) - 2018
- [j18]Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri, Ken-ichi Fukui, Masayuki Numao:
Efficient Decision Trees for Multi-Class Support Vector Machines Using Entropy and Generalization Error Estimation. Int. J. Appl. Math. Comput. Sci. 28(4): 705-717 (2018) - [j17]Patoomsiri Songsiri, Vladimir Cherkassky, Boonserm Kijsirikul:
Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy. Knowl. Based Syst. 159: 9-19 (2018) - [c39]Patoomsiri Songsiri, Boonserm Kijsirikul:
Efficient All-and-One Support Vector Machines Based on One-versus-All Data Inseparability. IRI 2018: 233-239 - [c38]Yuji Iwahori
Defect Classification of Electronic Board Using Dense SIFT and CNN. KES 2018: 1673-1682 - 2017
- [j16]Daimu Oiwa, Shinji Fukui, Yuji Iwahori
Probabilistic Background Model by Density Forests for Tracking. Int. J. Softw. Innov. 5(2): 1-16 (2017) - [j15]Hiroyasu Usami
Recovering Polyp Shape from an Endoscope Image Using Two Light Sources. Int. J. Softw. Innov. 5(2): 33-54 (2017) - [c37]Daimu Oiwa, Shinji Fukui, Yuji Iwahori
Tracking with Extraction of Moving Object under Moving Camera Environment. KES 2017: 1479-1487 - [i7]Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri, Ken-ichi Fukui, Masayuki Numao:
Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation. CoRR abs/1708.08231 (2017) - 2016
- [c36]Yuji Iwahori, Daiki Yamaguchi, Tsuyoshi Nakamura, Boonserm Kijsirikul, Manas Kamal Bhuyan, Kunio Kasugai:
Estimating Reflectance Parameter of Polyp using Medical Suture Information in Endoscope Image. ICPRAM 2016: 503-509 - [c35]Taweesak Emsawas, Boonserm Kijsirikul:
Thai Printed Character Recognition Using Long Short-Term Memory and Vertical Component Shifting. PRICAI 2016: 106-115 - 2015
- [j14]Patoomsiri Songsiri, Thimaporn Phetkaew
Enhancement of multi-class support vector machine construction from binary learners using generalization performance. Neurocomputing 151: 434-448 (2015) - 2014
- [c34]Patoomsiri Songsiri, Thimaporn Phetkaew
Sub-classifier construction for error correcting output code using minimum weight perfect matching. IJCNN 2014: 3519-3525 - 2013
- [i6]Patoomsiri Songsiri, Thimaporn Phetkaew, Boonserm Kijsirikul:
Enhancements of Multi-class Support Vector Machine Construction from Binary Learners using Generalization Performance. CoRR abs/1309.2765 (2013) - [i5]Patoomsiri Songsiri, Thimaporn Phetkaew, Ryutaro Ichise, Boonserm Kijsirikul:
Sub-Classifier Construction for Error Correcting Output Code Using Minimum Weight Perfect Matching. CoRR abs/1312.7179 (2013) - 2012
- [i4]Peratham Wiriyathammabhum, Boonserm Kijsirikul, Hiroya Takamura, Manabu Okumura:
Applying Deep Belief Networks to Word Sense Disambiguation. CoRR abs/1207.0396 (2012) - [i3]Peratham Wiriyathammabhum, Boonserm Kijsirikul:
Robust Principal Component Analysis Using Statistical Estimators. CoRR abs/1207.0403 (2012) - 2010
- [j13]Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul:
A new kernelization framework for Mahalanobis distance learning algorithms. Neurocomputing 73(10-12): 1570-1579 (2010) - [j12]Ratthachat Chatpatanasiri, Boonserm Kijsirikul:
A unified semi-supervised dimensionality reduction framework for manifold learning. Neurocomputing 73(10-12): 1631-1640 (2010) - [j11]Jittat Fakcharoenphol
Short proofs for online multiclass prediction on graphs. Inf. Process. Lett. 110(8-9): 309-311 (2010) - [j10]Tanasanee Phienthrakul, Boonserm Kijsirikul:
Evolutionary strategies for hyperparameters of support vector machines based on multi-scale radial basis function kernels. Soft Comput. 14(7): 681-699 (2010)
2000 – 2009
- 2009
- [j9]Ratthachat Chatpatanasiri, Prasertsak Pungprasertying, Boonserm Kijsirikul:
Zone analysis: a visualization framework for classification problems. Artif. Intell. Rev. 31(1-4): 17-34 (2009) - [c33]Anantaporn Srisawat, Boonserm Kijsirikul:
Predicting HIV-1 Drug Resistance: A Comparison of Three Learning Algorithms. BMEI 2009: 1-5 - [c32]Tanasanee Phienthrakul, Boonserm Kijsirikul, Hiroya Takamura
Sentiment Classification with Support Vector Machines and Multiple Kernel Functions. ICONIP (2) 2009: 583-592 - [c31]Peratham Wiriyathammabhum, Boonserm Kijsirikul:
Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score. ICONIP (1) 2009: 708-715 - [e1]Thanaruk Theeramunkong, Boonserm Kijsirikul, Nick Cercone, Tu Bao Ho:
Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings. Lecture Notes in Computer Science 5476, Springer 2009, ISBN 978-3-642-01306-5 [contents] - 2008
- [c30]Jittat Fakcharoenphol
Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors. ALT 2008: 464-466 - [c29]Pittipol Kantavat, Boonserm Kijsirikul:
Combining Technical Analysis and Support Vector Machine for Stock Trading. HIS 2008: 915-918 - [c28]Teesid Korsrilabutr, Boonserm Kijsirikul:
Pseudometrics for time series classification by nearest neighbor. IJCNN 2008: 1382-1389 - [c27]Patoomsiri Songsiri, Boonserm Kijsirikul, Thimaporn Phetkaew
Information-based dichotomization: A method for multiclass Support Vector Machines. IJCNN 2008: 3284-3291 - [c26]Tanasanee Phienthrakul, Boonserm Kijsirikul:
Adaptive stabilized multi-RBF kernel for Support Vector Regression. IJCNN 2008: 3545-3550 - [i2]Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul:
On Kernelization of Supervised Mahalanobis Distance Learners. CoRR abs/0804.1441 (2008) - [i1]Jittat Fakcharoenphol, Boonserm Kijsirikul:
Low congestion online routing and an improved mistake bound for online prediction of graph labeling. CoRR abs/0809.2075 (2008) - 2007
- [c25]Tanasanee Phienthrakul, Boonserm Kijsirikul:
GPES: An algorithm for evolving hybrid kernel functions of Support Vector Machines. IEEE Congress on Evolutionary Computation 2007: 2636-2643 - [c24]Nuanwan Soonthornphisaj, Thanarat Rattana-ubon, Boonserm Kijsirikul:
Chronic Fatigue Syndrome Diagnosis Using Feature-based Fuzzy Fusion. IMECS 2007: 702-706 - 2006
- [c23]Prasertsak Pungprasertying, Ratthachat Chatpatanasiri, Boonserm Kijsirikul:
Migration Analysis: An Alternative Approach for Analyzing Learning Performance. ICPR (2) 2006: 837-840 - [c22]Tanasanee Phienthrakul, Boonserm Kijsirikul:
Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels. Intelligent Information Processing 2006: 269-278 - [c21]Anantaporn Srisawat, Boonserm Kijsirikul:
MRBF: A Method for Predicting HIV-1 Drug Resistance. Intelligent Information Processing 2006: 327-336 - [c20]Anantaporn Srisawat, Tanasanee Phienthrakul, Boonserm Kijsirikul:
SV-kNNC: An Algorithm for Improving the Efficiency of k-Nearest Neighbor. PRICAI 2006: 975-979 - 2005
- [j8]Boonserm Kijsirikul, Thanupol Lerdlamnaochai:
First-Order Logical Neural Networks. Int. J. Hybrid Intell. Syst. 2(4): 253-267 (2005) - [c19]Jittat Fakcharoenphol
Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors. ALT 2005: 135-147 - [c18]Tanasanee Phienthrakul, Boonserm Kijsirikul:
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines. GECCO 2005: 905-911 - 2004
- [j7]Nuanwan Soonthornphisaj, Boonserm Kijsirikul:
Iterative cross-training: An algorithm for learning from unlabeled Web pages. Int. J. Intell. Syst. 19(1-2): 131-147 (2004) - [c17]Thanupol Lerdlamnaochai, Boonserm Kijsirikul:
First-Order Logical Neural Networks. HIS 2004: 192-197 - [c16]Anantaporn Srisawat, Boonserm Kijsirikul:
Using Associative Classification for Predicting HIV-1 Drug Resistance. HIS 2004: 280-284 - [c15]Nuanwan Soonthornphisaj, Boonserm Kijsirikul:
Combining ILP with Semi-supervised Learning for Web Page Categorization. International Conference on Computational Intelligence 2004: 322-325 - [c14]Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada, Boonserm Kijsirikul:
Improving Multiclass ILP by Combining Partial Rules with Winnow Algorithm: Results on Classification of Dopamine Antagonist Molecules. JSAI Workshops 2004: 527-537 - [c13]Boonserm Kijsirikul, Narong Boonsirisumpun, Yachai Limpiyakorn:
Multiclass Support Vector Machines Using Balanced Dichotomization. PRICAI 2004: 973-974 - 2003
- [j6]Nuanwan Soonthornphisaj, Boonserm Kijsirikul:
Iterative cross-training: An algorithm for web page categorization. Intell. Data Anal. 7(3): 233-253 (2003) - [j5]Thimaporn Phetkaew, Wanchai Rivepiboon, Boonserm Kijsirikul:
Reordering Adaptive Directed Acyclic Graphs for Multiclass Support Vector Machines. J. Adv. Comput. Intell. Intell. Informatics 7(3): 315-321 (2003) - [c12]Ratthachat Chatpatanasiri, Boonserm Kijsirikul:
Learning First-Order Bayesian Networks. AI 2003: 313-328 - [c11]Sukree Sinthupinyo, Luepol Pipanmaekaporn, Boonserm Kijsirikul:
Detection of connecting points in Thai printed characters by combining inductive logic programming with backpropagation neural network. ICIAP 2003: 196-200 - [c10]Ratthachat Chatpatanasiri, Boonserm Kijsirikul:
Upgrading ILP Rules to First-Order Bayesian Networks. PAKDD 2003: 595-601 - 2002
- [j4]Nuttakorn Thubthong, Boonserm Kijsirikul, Apirath Pusittrakul:
A Method for Isolated Thai Tone Recognition Using a Combination of Neural Networks. Comput. Intell. 18(3): 313-335 (2002) - [c9]Jun Srisutapan, Boonserm Kijsirikul:
Fuzzy Logic and Genetic Algorithm for Optimizing the Approximate Match of Rules based on Backpropagation Neural Networks. FSKD 2002: 212-216 - [c8]Nuttakorn Thubthong, Boonserm Kijsirikul, Sudaporn Luksaneeyanawin:
Tone recognition in Thai continuous speech based on coarticulaion, intonation and stress effects. INTERSPEECH 2002: 1169-1172 - [c7]Boonserm Kijsirikul, Nitiwut Ussivakul, Surapant Meknavin:
Adaptive Directed Acyclic Graphs for Multiclass Classification. PRICAI 2002: 158-168 - 2001
- [j3]Nuttakorn Thubthong, Boonserm Kijsirikul:
Support Vector Machines for Thai Phoneme Recognition. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(6): 803-813 (2001) - [j2]Nuttakorn Thubthong, Boonserm Kijsirikul:
Tone Recognition of Continuous Thai Speech Under Tonal Assimilation and Declination Effects Using Half-Tone Model. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(6): 815-825 (2001) - [j1]Boonserm Kijsirikul, Sukree Sinthupinyo, Kongsak Chongkasemwongse:
Approximate Match of Rules Using Backpropagation Neural Networks. Mach. Learn. 44(3): 273-299 (2001) - [c6]Nuanwan Soonthornphisaj, Boonserm Kijsirikul:
The Effects of Differnet Feature Sets on the Web Page Categorization Problem Using the Iterative Cross-Training Algorithm. ICEIS (1) 2001: 404-410 - 2000
- [c5]Boonserm Kijsirikul, Puay Sasiphongpairoege, Nuanwan Soonthornphisaj, Surapant Meknavin:
Supervised and Unsupervised Learning Algorithms for Thai Web Pages Identification. PRICAI 2000: 690-700
1990 – 1999
- 1999
- [c4]Boonserm Kijsirikul, Sukree Sinthupinyo:
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition. ILP 1999: 162-173 - 1998
- [c3]Surapant Meknavin, Boonserm Kijsirikul, Ananlada Chotimongkol, Cholwich Nattee:
Combining Trigram and Winnow in Thai OCR Error Correction. COLING-ACL 1998: 836-842 - 1992
- [c2]Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura:
Discrimination-Based Constructive Induction of Logic Programs. AAAI 1992: 44-49 - 1991
- [c1]Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura:
Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals. ML 1991: 417-421
Coauthor Index
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