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Teguh Bharata Adji
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2020 – today
- 2023
- [c12]Muhammad Rizqi Indrahimawan, Paulus Insap Santosa, Teguh Bharata Adji:
Handling Data Imbalance Using Text Augmentation For Classifying Public Complaints. IC3INA 2023: 284-289 - 2022
- [j14]Triyanna Widiyaningtyas, Muhammad Iqbal Ardiansyah, Teguh Bharata Adji:
Recommendation Algorithm Using SVD and Weight Point Rank (SVD-WPR). Big Data Cogn. Comput. 6(4): 121 (2022) - [c11]Ziana Mega Devi, Noor Akhmad Setiawan, Teguh Bharata Adji, Triyanna Widiyaningtyas:
Hybrid Filtering Algorithm in Event Manager Partner Recommendation System. SIET 2022: 182-187 - 2021
- [j13]Triyanna Widiyaningtyas, Indriana Hidayah, Teguh Bharata Adji:
Recommendation Algorithm Using Clustering-Based UPCSim (CB-UPCSim). Comput. 10(10): 123 (2021) - [j12]Triyanna Widyaningtyas, Indriana Hidayah, Teguh Bharata Adji:
User profile correlation-based similarity (UPCSim) algorithm in movie recommendation system. J. Big Data 8(1): 1-21 (2021) - 2020
- [j11]Sutedi Sutedi, Noor Akhmad Setiawan, Teguh Bharata Adji:
Enhanced Graph Transforming V2 Algorithm for Non-Simple Graph in Big Data Pre-Processing. IEEE Trans. Knowl. Data Eng. 32(1): 67-77 (2020) - [c10]Sunu Wibirama, A. G. Pradnya Sidhawara, Generosa Lukhayu Pritalia, Teguh Bharata Adji:
A Survey of Learning Style Detection Method using Eye-Tracking and Machine Learning in Multimedia Learning. CcS 2020: 1-6 - [i1]Kuntoro Adi Nugroho, Noor Akhmad Setiawan, Teguh Bharata Adji:
Coronary Heart Disease Diagnosis Based on Improved Ensemble Learning. CoRR abs/2007.02895 (2020)
2010 – 2019
- 2019
- [j10]Indriana Hidayah, Teguh Bharata Adji, Noor Akhmad Setiawan:
Development and evaluation of adaptive metacognitive scaffolding for algorithm-learning system. IET Softw. 13(4): 305-312 (2019) - [j9]Aris Marjuni, Teguh Bharata Adji, Ridi Ferdiana:
Unsupervised software defect prediction using median absolute deviation threshold based spectral classifier on signed Laplacian matrix. J. Big Data 6: 87 (2019) - [j8]Aris Marjuni, Teguh Bharata Adji, Ridi Ferdiana:
Unsupervised software defect prediction using signed Laplacian-based spectral classifier. Soft Comput. 23(24): 13679-13690 (2019) - 2018
- [j7]Feddy Setio Pribadi, Adhistya Erna Permanasari, Teguh Bharata Adji:
Short answer scoring system using automatic reference answer generation and geometric average normalized-longest common subsequence (GAN-LCS). Educ. Inf. Technol. 23(6): 2855-2866 (2018) - [j6]Igi Ardiyanto, Teguh Bharata Adji, Dika Akilla Asmaraman:
On comprehensive analysis of learning algorithms on pedestrian detection using shape features. J. Intell. Fuzzy Syst. 35(4): 4807-4820 (2018) - [j5]Yosua Alvin Adi Soetrisno, Selo Sulistyo, Ridi Ferdiana, Teguh Bharata Adji:
Improvement of fusion algorithm using cascade method and implementation on proxy server for replacing negative content on a porn site. Web Intell. 16(4): 233-246 (2018) - [c9]Sri Lestari, Teguh Bharata Adji, Adhistya Erna Permanasari:
Performance Comparison of Rank Aggregation Using Borda and Copeland in Recommender System. IWBIS 2018: 69-74 - 2017
- [j4]Hanung Adi Nugroho, M. M. Sebatubun, Teguh Bharata Adji:
Ground glass opacity lesion morphology extraction in primary lung cancer. Int. J. Medical Eng. Informatics 9(4): 398-411 (2017) - [j3]Igi Ardiyanto, Teguh Bharata Adji:
Deep residual coalesced convolutional network for efficient semantic road segmentation. IPSJ Trans. Comput. Vis. Appl. 9: 6 (2017) - [j2]Aulia Arham, Hanung Adi Nugroho, Teguh Bharata Adji:
Multiple layer data hiding scheme based on difference expansion of quad. Signal Process. 137: 52-62 (2017) - [c8]Nilar Thein, Hanung Adi Nugroho, Teguh Bharata Adji, I Wayan Mustika:
Comparative Performance Study on Ordinary and Chaos Image Encryption Schemes. ACOMP 2017: 122-126 - [c7]Alamsyah, Agus Bejo, Teguh Bharata Adji:
AES S-box construction using different irreducible polynomial and constant 8-bit vector. DSC 2017: 366-369 - [c6]Igi Ardiyanto, Teguh Bharata Adji:
Deep residual coalesced convolutional network for efficient semantic road segmentation. MVA 2017: 378-381 - 2016
- [c5]Indriana Hidayah, Teguh Bharata Adji, Noor Akhmad Setiawan, Kartika Maharani:
Work in progress: Application of unsupervised learning method toward student's metacognition assessment. EDUCON 2016: 1175-1178 - [c4]Syukron Abu Ishaq Alfarozi, Noor Akhmad Setiawan, Teguh Bharata Adji, Kuntpong Woraratpanya, Kitsuchart Pasupa, Masanori Sugimoto:
Analytical Incremental Learning: Fast Constructive Learning Method for Neural Network. ICONIP (2) 2016: 259-268 - 2013
- [j1]Hendri Himawan Triharminto, Anton Satria Prabuwono, Teguh Bharata Adji, Noor Akhmad Setiawan:
Adaptive Dynamic Path Planning Algorithm for Interception of a Moving Target. Int. J. Mob. Comput. Multim. Commun. 5(3): 19-33 (2013) - [c3]Hendri Himawan Triharminto, Anton Satria Prabuwono, Teguh Bharata Adji, Noor Akhmad Setiawan, Nak Young Chong:
UAV Dynamic Path Planning for Intercepting of a Moving Target: A Review. FIRA 2013: 206-219 - 2011
- [c2]Teguh Bharata Adji, Yenni Astuti, Sri Suning Kusumawardani:
Statistical-based machine translation for prepositional phrase using Link Grammar. ICEEI 2011: 1-6
2000 – 2009
- 2008
- [c1]Teguh Bharata Adji, Baharum Baharudin, Norshuhani Zamin:
Applying Link Grammar Formalism in the Development of English-Indonesian Machine Translation System. AISC/MKM/Calculemus 2008: 17-23
Coauthor Index
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