53 citations · 82 across the 12 of their papers we have counts for
12 papers
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes
Ali Akbar Septiandri, Deyu Ming, F. Alejandro DiazDelaO +2
Healthcare data, particularly in critical care settings, presents three key challenges for analysis. First, physiological measurements come from different sources but are inherentl…
The Impact of Responsible AI Research on Innovation and Development
Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia
Translational research, especially in the fast-evolving field of Artificial Intelligence (AI), is key to converting scientific findings into practical innovations. In Responsible A…
WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?
Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia
Much of the research in social computing analyzes data from social media platforms, which may inherently carry biases. An overlooked source of such bias is the over-representation…
The Potential Impact of AI Innovations on U.S. Occupations
Ali Akbar Septiandri, Marios Constantinides, Daniele Quercia
An occupation is comprised of interconnected tasks, and it is these tasks, not occupations themselves, that are affected by AI. To evaluate how tasks may be impacted, previous appr…
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
Ali Akbar Septiandri, Marios Constantinides, Mohammad Tahaei +1
Studies conducted on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples are considered atypical of the world's population and may not accurately represent huma…
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji +44
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Thro…
Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening
Ali Akbar Septiandri, Aditiawarman, Roy Tjiong +2
Score-based algorithms for tuberculosis (TB) verbal screening perform poorly, causing misclassification that leads to missed cases and unnecessary costly laboratory tests for false…
Human Blastocyst Classification after In Vitro Fertilization Using Deep Learning
Ali Akbar Septiandri, Ade Jamal, Pritta Ameilia Iffanolida +2
Embryo quality assessment after in vitro fertilization (IVF) is primarily done visually by embryologists. Variability among assessors, however, remains one of the main causes of th…
UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia
Ali Akbar Septiandri, Yosef Ardhito Winatmoko
We describe our third-place solution to the UKARA 1.0 challenge on automated essay scoring. The task consists of a binary classification problem on two datasets | answers from two…
Aspect and Opinion Term Extraction for Hotel Reviews using Transfer Learning and Auxiliary Labels
Yosef Ardhito Winatmoko, Ali Akbar Septiandri, Arie Pratama Sutiono
Aspect and opinion term extraction is a critical step in Aspect-Based Sentiment Analysis (ABSA). Our study focuses on evaluating transfer learning using pre-trained BERT (Devlin et…
Aspect and Opinion Terms Extraction Using Double Embeddings and Attention Mechanism for Indonesian Hotel Reviews
Jordhy Fernando, Masayu Leylia Khodra, Ali Akbar Septiandri
Aspect and opinion terms extraction from review texts is one of the key tasks in aspect-based sentiment analysis. In order to extract aspect and opinion terms for Indonesian hotel…
Predicting the Gender of Indonesian Names
Ali Akbar Septiandri
We investigated a way to predict the gender of a name using character-level Long-Short Term Memory (char-LSTM). We compared our method with some conventional machine learning metho…