NusaCrowd: Open source initiative for Indonesian NLP resources S Cahyawijaya, H Lovenia, AF Aji, G Winata, B Wilie, F Koto, R Mahendra, ... Findings of the Association for Computational Linguistics: ACL 2023, 13745-13818, 2023 | 1140 | 2023 |
Classification method comparison on Indonesian social media sentiment analysis TN Fatyanosa, FA Bachtiar 2017 International Conference on Sustainable Information Engineering and …, 2017 | 28 | 2017 |
To optimize, or not to optimize, that is the question: TelU-KU models for WMT21 Large-Scale Multilingual Machine Translation SD Budiwati, T Fatyanosa, M Data, DR Wijaya, PA Telnoni, AA Suryani, ... Proceedings of the Sixth Conference on Machine Translation, 387-397, 2021 | 22 | 2021 |
Hybrid genetic algorithm and simulated annealing for function optimization TN Fatyanosa, AN Sihananto, GAF Alfarisy, MS Burhan, WF Mahmudy Journal of Information Technology and Computer Science 1 (2), 82-97, 2016 | 20 | 2016 |
Effects of the number of hyperparameters on the performance of GA-CNN TN Fatyanosa, M Aritsugi 2020 IEEE/ACM International Conference on Big Data Computing, Applications …, 2020 | 18 | 2020 |
BERT goes BRRR: a venture towards the lesser error in classifying medical self-reporters on Twitter AF Aji, MN Nityasya, HA Wibowo, RE Prasojo, T Fatyanosa Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop …, 2021 | 17 | 2021 |
An automatic convolutional neural network optimization using a diversity-guided genetic algorithm TN Fatyanosa, M Aritsugi IEEE Access 9, 91410-91426, 2021 | 15 | 2021 |
Feature selection using variable length chromosome genetic algorithm for sentiment analysis TN Fatyanosa, FA Bachtiar, M Data 2018 International Conference on Sustainable Information Engineering and …, 2018 | 10 | 2018 |
DBMS-KU at SemEval-2019 task 9: Exploring machine learning approaches in classifying text as suggestion or non-suggestion T Fatyanosa, M Aritsugi Proceedings of the 13th International Workshop on Semantic Evaluation, 1185-1191, 2019 | 9 | 2019 |
Nusacrowd: A call for open and reproducible nlp research in indonesian languages S Cahyawijaya, AF Aji, H Lovenia, GI Winata, B Wilie, R Mahendra, F Koto, ... arXiv preprint arXiv:2207.10524, 2022 | 8 | 2022 |
ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair AF Aji, TN Fatyanosa, RE Prasojo, P Arthur, S Fitriany, S Qonitah, N Zulfa, ... Proceedings of the 35th Pacific Asia Conference on Language, Information and …, 2021 | 6 | 2021 |
Conducting vessel data imputation method selection based on dataset characteristics TN Fatyanosa, NA Firdausanti, LFJ Soto, IM Dos Santos, PHN Prayoga, ... IOP Conference Series: Earth and Environmental Science 1198 (1), 012017, 2023 | 5 | 2023 |
A comparison of four types of evolution strategies for beef cattle feed optimization TN Fatyanosa, WF Mahmudy, M Marjuki Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10 …, 2018 | 5 | 2018 |
Implementation of Real Coded Genetic Fuzzy System for Rainfall Forecasting TN Fatyanosa, WF Mahmudy The International Conference on Sustainable Information Engineering and …, 2016 | 5 | 2016 |
Two-stage sampling: A framework for imbalanced classification with overlapped classes NA Firdausanti, TN Fatyanosa, M Data, I Mendonça, M Aritsugi 2022 IEEE International Conference on Big Data (Big Data), 271-280, 2022 | 4 | 2022 |
DBMS-KU interpolation for WMT19 news translation task SD Budiwati, TN Fatyanosa, M Aritsugi Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 4 | 2019 |
Linear programming initialization method of evolution strategies for beef cattle feed optimization TN Fatyanosa, F Utaminingrum, M Data Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10 …, 2018 | 4 | 2018 |
Classification of unexposed potsherd cavities by using deep learning I Mendonça, M Miyaura, TN Fatyanosa, D Yamaguchi, H Sakai, H Obata, ... Journal of Archaeological Science: Reports 49, 104003, 2023 | 3 | 2023 |
Hybrid Modified Evolution Strategies and Linear Programming for Beef Cattle Feed Optimization. TN Fatyanosa, WF Mahmudy International Journal on Electrical Engineering & Informatics 11 (1), 2019 | 3 | 2019 |
Meta-learning for vessel time series data imputation method recommendation TN Fatyanosa, NA Firdausanti, PHN Prayoga, M Kuriu, M Aritsugi, ... Expert Systems with Applications 251 (1), 2024 | 1 | 2024 |