ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair. - Alham Fikri Aji; Radityo Eko Prasojo; Tirana Noor Fatyanosa; Philip Arthur; Suci Fitriany; Salma Qonitah; Nadhifa Zulfa; Tomi Santoso; Mahendra Data (PACLIC, 2021)

To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation. - Sari Dewi Budiwati; Tirana Fatyanosa; Mahendra Data; Dedy Rahman Wijaya; Patrick Adolf Telnoni; Arie Ardiyanti Suryani; Agus Pratondo; Masayoshi Aritsugi (WMT@EMNLP, 2021)

T-DFNN: An Incremental Learning Algorithm for Intrusion Detection Systems. - Mahendra Data; Masayoshi Aritsugi (IEEE Access, 2021)

Two-Stage Sampling: A Framework for Imbalanced Classification With Overlapped Classes. - Neni Alya Firdausanti; Tirana Noor Fatyanosa; Mahendra Data; Israel Mendonça; Masayoshi Aritsugi (IEEE Big Data, 2022)

An Incremental Learning Algorithm on Imbalanced Data for Network Intrusion Detection Systems. - Mahendra Data; Masayoshi Aritsugi (ICCCM, 2022)

ImputAnom: Anomaly Detection Framework Using Imputation Methods for Univariate Time Series. - Tirana Noor Fatyanosa; Mahendra Data; Neni Alya Firdausanti; Putu Hangga Nan Prayoga; Israel Mendonça; Masayoshi Aritsugi (iiWAS, 2023)

Resource Efficient Intrusion Detection Systems for Internet of Things Using Online Machine-Learning Models. - Mahendra Data; Fariz Andri Bakhtiar (SIET, 2023)

Hybrid Feature Selection Framework for Building Resource Efficient Intrusion Detection Systems Model in the Internet of Things. - Tirana Noor Fatyanosa; Mahendra Data (SIET, 2023)

Improving the Classification of Unexposed Potsherd Cavities by Means of Preprocessing. - Randy Cahya Wihandika; Yoonji Lee; Mahendra Data; Masayoshi Aritsugi; Hiroki Obata; Israel Mendonça (Inf., 2024)