| HMM based part-of-speech tagger for Bahasa Indonesia AF Wicaksono, A Purwarianti Fourth International MALINDO Workshop, Jakarta, 2010 | 168 | 2010 |
| HMM based pos tagger for bahasa indonesia A Wicaksono, A Purwarianti On Proceedings of 4th International MALINDO (Malay-Indonesian Language …, 2010 | 164* | 2010 |
| Buzzer Detection and Sentiment Analysis for Predicting Presidential Election Results in A Twitter Nation M Ibrahim, O Abdillah, AF Wicaksono, M Adriani 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015 | 131 | 2015 |
| InaNLP: Indonesia natural language processing toolkit, case study: Complaint tweet classification A Purwarianti, A Andhika, AF Wicaksono, I Afif, F Ferdian 2016 International Conference On Advanced Informatics: Concepts, Theory And …, 2016 | 58 | 2016 |
| Automatically building a corpus for sentiment analysis on Indonesian tweets AF Wicaksono, C Vania, BT Distiawan, M Adriani Proceedings of the 28th Pacific Asia conference on language, information and …, 2014 | 50 | 2014 |
| Sentiment analysis on customer satisfaction of digital banking in Indonesia B Andrian, T Simanungkalit, I Budi, AF Wicaksono International Journal of Advanced Computer Science and Applications 13 (3), 2022 | 48 | 2022 |
| Automatic extraction of advice-revealing sentences foradvice mining from online forums AF Wicaksono, SH Myaeng Proceedings of the seventh international conference on Knowledge capture, 97-104, 2013 | 39 | 2013 |
| Mining advices from weblogs AF Wicaksono, SH Myaeng Proceedings of the 21st ACM international conference on Information and …, 2012 | 32 | 2012 |
| Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews DH Sasmita, AF Wicaksono, S Louvan, M Adriani 2017 International Conference on Asian Language Processing (IALP), 383 - 386, 2017 | 27 | 2017 |
| Metrics, user models, and satisfaction AF Wicaksono, A Moffat Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 26 | 2020 |
| Multi-task active learning for neural semantic role labeling on low resource conversational corpus F Ikhwantri, S Louvan, K Kurniawan, B Abisena, V Rachman, ... arXiv preprint arXiv:1806.01523, 2018 | 22 | 2018 |
| Empirical evidence for search effectiveness models AF Wicaksono, A Moffat Proceedings of the 27th ACM International Conference on Information and …, 2018 | 21 | 2018 |
| Named entity recognition on Indonesian microblog messages N Taufik, AF Wicaksono, M Adriani 2016 International Conference on Asian Language Processing (IALP), 358-361, 2016 | 17 | 2016 |
| Toward advice mining: Conditional random fields for extracting advice-revealing text units AF Wicaksono, SH Myaeng Proceedings of the 22nd ACM international conference on Information …, 2013 | 16 | 2013 |
| Analysis on customer satisfaction dimensions in peer-to-peer accommodation using Latent Dirichlet Allocation: a case study of Airbnb KM Situmorang, AN Hidayanto, AF Wicaksono, A Yuliawati 2018 5th International Conference on Electrical Engineering, Computer …, 2018 | 15 | 2018 |
| Natural Language Understanding Tools with Low Language Resource in Building Automatic Indonesian Mind Map Generator. A Purwarianti, A Saelan, I Afif, F Ferdian, AF Wicaksono International Journal on Electrical Engineering & Informatics 5 (3), 2013 | 15 | 2013 |
| Modeling search and session effectiveness AF Wicaksono, A Moffat Information Processing & Management 58 (4), 20, 2021 | 13 | 2021 |
| Modelling search and session effectiveness AF Wicaksono The University of Melbourne, 2020 | 13 | 2020 |
| Recognition of Sign Language System for Indonesian Language Using Long Short-Term Memory Neural Networks E Rakun, AM Arymurthy, LY Stefanus, AF Wicaksono, IWW Wisesa Advanced Science Letters, Volume 24, Number 2, February 2018, pp. 999-1004(6 …, 2018 | 10 | 2018 |
| Modeling user actions in job search AF Wicaksono, A Moffat, J Zobel Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 9 | 2019 |
Mirna AdrianiFaculty of Computer Science, Universitas IndonesiaEmail verificata su cs.ui.ac.id
