Program
All times in this program are in JST time zone (UTC+9).
Presentation of each paper has 15 min. talk and 5 min. Q and A. Detailed information about ZOOM (meeting ID and PW) will be noticed to presenters and registered participants.
TimeTable
| September 28th, 2022 | ||
|---|---|---|
| 11:00-12:00 |
Managed IP Network for Triple-Play Services |
|
| 12:00-13:30 | Lunch Break | |
| 13:30-15:30 |
Emotion Detection, Recommendation Systems, Data Mining |
Speech Processing, Natural Language Generation |
| 15:30-16:00 | Break | |
| 16:00-18:00 |
Artificial Intelligence and Machine Learning, Information Retrieval, Database and Programming |
Sentiment Analysis, Information Varidation |
| September 29th, 2022 | ||
| 11:00-12:00 |
Scalable distributed machine learning systems |
|
| 12:00-13:30 | Lunch Break | |
| 13:30-14:30 |
How to Write Journal Papers |
|
| 14:30-15:00 | Break | |
| 15:00-16:40 |
Distributed Systems, Information Technology Application |
Natural Language Processing |
| 16:40- | Closing | |
Sessions
Keynote1
Managed IP Network for Triple-Play Services
- 11:00-12:00, September 28th, 2022
- Room A
Speaker: Dr. Akio Kawabata (Toyohashi University of Technology, Japan)
Abstract: Various types of information such as voice, video, and web services are communicated via Internet Protocol (IP) networks. In this talk, I would like to introduce the technologies and future perspectives to realize managed networks for multi-services using IP from the viewpoint of network architecture and quality of service technology.
Biography: Akio Kawabata is a professor in Department of Computer Science and Engineering, Toyohashi University of Technology, Japan. He received the Ph.D. degrees from the University of Electro-Communications, Japan, in 2016. He was with NTT Network Service Systems Laboratories from 1993 to 2021. His research interests include distributed processing systems, network architecture, and switching system architecture in communication and information networks.
Session1-A
Emotion Detection, Recommendation Systems, Data Mining
- 13:30-15:30, September 28th, 2022
- Room A
- Chair: Tomoyosi Akiba
| Title | Authors |
|---|---|
| Utilizing Machine Learning Algorithms to Detect Emotions from Tweets | Christopher Reynard Julian, Gian Reinfred Athevan, Nathanael Geoffrey Hanjaya, Henry Lucky and Derwin Suhartono |
| Emotion Classification of User Face Image in Music Recommendation System | Hengky Surya Angkasa and Nur Ulfa Maulidevi |
| Multi-Criteria Recommender System for Determining Risk Level of Covid-19 | Erna Hikmawati, Nur Ulfa Maulidevi and Kridanto Surendro |
| The Effect of Preprocessing Techniques on Stacked Generalization and Stand-Alone Method for E-commerce Demand Prediction | Cynthia Athena Mahadewi Subroto and Saiful Akbar |
| Follower–Followee Ratio Category and User Vector for Analyzing Following Behavior | Hayato Oshimo, Shiori Hironaka, Mitsuo Yoshida and Kyoji Umemura |
| Conservative Likelihood Ratio Estimator for Infrequent Data Slightly above a Frequency Threshold | Masato Kikuchi, Yuhi Kusakabe and Tadachika Ozono |
Session1-B
Speech Processing, Natural Language Generation
- 13:30-15:30, September 28th, 2022
- Room B
- Chair: Yukoh Wakabayashi
| Title | Authors |
|---|---|
| Implicit language information replacing method in Japanese encoder–decode ASR model | Daiki Mori, Kengo Ohta, Ryota Nishimura and Norihide Kitaoka |
| Utilizing Open Vocabulary Word Vector for Detecting Error in Decoded Speech Transcript | Dinda Yora Islami, Donny Mirza Adhitama, Devin Hoesen and Dessi Puji Lestari |
| Language Recognition for Unconditioned Javanese, Malay, and Sundanese Data based on i-vector Framework | Yana Muhamadinah, Miranti Indar Mandasari and Iwan Prasetiyo |
| Abstractive Approach for Agenda Extraction from Assembly Minutes | Ryoto Ohsugi, Tomoyosi Akiba and Shigeru Masuyama |
| A response generation method of chat-bot system using input formatting and reference resolution | Takahiro Kinouchi and Norihide Kitaoka |
| Indonesian AMR-to-Text Generation by Language Model Fine-tuning | Taufiq Husada Daryanto and Masayu Leylia Khodra |
Session2-A
Artificial Intelligence and Machine Learning, Information Retrieval, Database and Programming
- 16:00-18:00, September 28th, 2022
- Room A
- Chair: Rinaldi Munir Amin
| Title | Authors |
|---|---|
| Crash Severity Classification Prediction and Factors Affecting Analysis of Highway Accidents | Buddhaporn Vanishkorn and Weeriya Supanich |
| Hybrid Classical-Quantum Optimization for Ensemble Learning | Lenny Putri Yulianti, Agung Trisetyarso, Judhi Santoso and Kridanto Surendro |
| Improving Multi-class Classifier Using Likelihood Ratio Estimation with Regularization | Masato Kikuchi and Tadachika Ozono |
| Improving Query by Humming System using Frequency-Temporal Attention Network and Partial Query Matching | Muhammad Ulfi and Rila Mandala |
| Improving Query Expansion Performances with Pseudo Relevance Feedback and Wu-Palmer Similarity on Cross Language Information Retrieval | Muhammad Akmal Pratama and Rila Mandala |
| Conversion of Entity-Relationship Model to NoSQL Document-Oriented Database Logical Model Using Workload Information and Entity Update Frequency | Ananda Yulizar Muhammad and Fazat Nur Azizah |
Session2-B
Sentiment Analysis, Information Varidation
- 16:00-18:00, September 28th, 2022
- Room B
- Chair: Fariska Zakhralativa Ruskanda and Ayu Purwarianti
| Title | Authors |
|---|---|
| Financial News Sentiment Analysis using Modified VADER for Stock Price Prediction | Anindya P. Ekaputri and Saiful Akbar |
| Sentiment Analysis in Sundanese Using Pre-trained Multilingual Language Models | Hadi Permana and Ayu Purwarianti |
| Generative Opinion Triplet Extraction Using Pretrained Language Model | William and Masayu Leylia Khodra |
| A Retrieval-and-Classification Approach for Fact-checking Grounded by Assembly Minutes | Yuki Gato and Tomoyoshi Akiba |
| Developing COVID-19 Information Validation System using Natural Language Inference | Putu Gde Aditya Taguh Widiana, Ayu Purwarianti and Fariska Zakhralativa Ruskanda |
Keynote2
Scalable distributed machine learning systems
- 11:00-12:00, September 29th, 2022
- Room A
Speaker: Dr. Achmad Imam Kistijantoro (Bandung Institute of Technology, Indonesia)
Biography: Achmad Imam Kistijantoro received the B.Eng. degree in informatics from the Institute of Technology Bandung, (ITB), Bandung, Indonesia, the masters’s degree from TU Delft, Delft, The Netherlands, and the Ph.D. degree from the University of Newcastle upon Tyne, Newcastle upon Tyne, U.K. He is currently a lecturer in School of Electrical Engineering and Informatics, Institut Teknologi Bandung, and a researcher in Center of Excellence on Artificial Intelligence for Vision, Natural Language Processing & Big Data Analytics (PUI-PT AI-VLB), Institut Teknologi Bandung. His current research interests includes distributed systems, parallel computation, and scalable distributed machine learning systems.
Webinar
How to Write Journal Papers
- 13:30-14:30, September 29th, 2022
- Room A
Session3-A
Distributed Systems, Information Technology Application
- 15:00-16:40, September 29th, 2022
- Room A
- Chair: Takeshi Nakai
| Title | Authors |
|---|---|
| Autoscaling Based on Response Time Prediction for Microservice Application in Kubernetes | Annisa Ayu Pramesti and Achmad Imam Kistijantoro |
| Container Migration for Distributed Deep Learning Training Scheduling in Kubernetes | Yonatan Viody and Achmad Imam Kistijantoro |
| Development of Performance Regression Analysis Tool using Distributed Tracing on Microservice-based Application | Rafi Abbel Mohammad and Achmad Imam Kistijantoro |
| Interaction Design for Interactive Learning in MOOCs using User-Centered Design Approach | Kevin Austin Stefano and Fitra Arifiansyah |
| Designing Interaction of Institut Teknologi Bandung Mental Health Services | Indra Febrio Nugroho and Fitra Arifiansyah |
Session3-B
Natural Language Processing
- 15:00-16:40, September 29th, 2022
- Room B
- Chair: Masayu Leylia Khodra
| Title | Authors |
|---|---|
| Lexical Complexity Prediction using Deep Learning with Sentence and Word Features | Stefanus Stanley Yoga Setiawan and Fariska Zakhralativa Ruskanda |
| Verification of Unanswerable Questions in the Question Answering System using Sentence-BERT and Cosine Similarity | Giffari Alfarizy and Rila Mandala |
| Clickbait Indonesian News Classification using ColBERT with Siamese Network on Headline and Content News | Josua Crishan Mintamanis and Rila Mandala |
| Early Risks Depression Prediction of Indonesian Twitter Users by Utilizing Pre-train Language Model and Linguistic Metadata Features Approaches | Widya P. Aulia and Ayu Purwarianti |
| Multi-Label Classification of Indonesian Financial Risk News using Transformer-based Multi-Task Learning | Miftahul Mahfuzh and Ayu Purwarianti |