Search Results - "Basaruddin, T."

Minimax Approach for Semivariogram Fitting in Ordinary Kriging by Setiyoko, Andie, Basaruddin, T., Arymurthy, Aniati Murni

“…This research paper aims to analyze the minimax approach used in the semivariogram fitting process that forms one stage of the kriging operation performed for…”
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Attach-SwiNet: Multimodal Attachment Style Classification Model Based on Non-Verbal Signals by Maghfira, Tusty Nadia, Basaruddin, T., Alfa Krisnadhi, Adila, Redatin Retno Pudjiati, Sri

“…Attachment systems, which signify emotional bonds with significant others, play a crucial role in influencing self-development and social interactions…”
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The Indonesian Young-Adult Attachment (IYAA): An audio-video dataset for behavioral young-adult attachment assessment by Maghfira, Tusty Nadia, Krisnadhi, Adila Alfa, Basaruddin, T., Pudjiati, Sri Redatin Retno

“…The attachment system is an innate human instinct to gain a sense of security as a form of self-defense from threats. Adults with secure attachment can…”
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Automatic Detection of Students' Engagement During Online Learning: A Bagging Ensemble Deep Learning Approach by Santoni, Mayanda Mega, Basaruddin, T., Junus, Kasiyah, Lawanto, Oenardi

“…The COVID-19 pandemic has reshaped education and shifted learning from in-person to online. While this shift offers advantages such as liberating the learning…”
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Fuzzy emotion: a natural approach to automatic facial expression recognition from psychological perspective using fuzzy system by Liliana, Dewi Yanti, Basaruddin, T., Widyanto, M. Rahmat, Oriza, Imelda Ika Dian

“…Many studies in automatic facial expression recognitions merely limit their focus on recognizing basic emotions, ignoring the fact that humans show various…”
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A New Data Representation Based on Training Data Characteristics to Extract Drug Name Entity in Medical Text by Sadikin, Mujiono, Basaruddin, T., Fanany, Mohamad Ivan

“…One essential task in information extraction from the medical corpus is drug name recognition. Compared with text sources come from other domains, the medical…”
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The Fuzzy Emotion Recognition Framework Using Semantic-Linguistic Facial Features by Liliana, Dewi Yanti, Basaruddin, T.

“…Emotion recognition through facial expression analysis is an emerging research in Artificial Intelligence which faces many challenges. The problem is the…”
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Adaptive Online Sequential ELM for Concept Drift Tackling by Budiman, Arif, Basaruddin, T., Fanany, Mohamad Ivan

“…A machine learning method needs to adapt to over time changes in the environment. Such changes are known as concept drift. In this paper, we propose concept…”
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Evaluation of Singular Value Decomposition based Digital Image Watermarking with Dither Quantization and Edge Detection by T. Basaruddin, Rahmatri Mardiko

“…Evaluation of Singular Value Decomposition based Digital Image Watermarking with Dither Quantization andEdge Detection. The use of singular value decomposition…”
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KLASIFIKASI BEAT ARITMIA PADA SINYAL EKG MENGGUNAKAN FUZZY WAVELET LEARNING VECTOR QUANTIZATION by Elly Matul Imah, T. Basaruddin

“…Pengenalan pola beat dalam analisa rekaman elektrokardiogram (EKG) menjadi bagian yang penting dalam deteksi penyakit jantung terutama aritmia. Banyak metode…”
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Review of Automatic Emotion Recognition Through Facial Expression Analysis by Liliana, Dewi Yanti, Basaruddin, T.

“…Nowadays, the social intelligent machine is developed to be more human-like by understanding human emotion. Therefore, many researches attempt to capture…”
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Image Fakery Detection Based on Singular Value Decomposition by T. Basaruddin, Dewi Yanti Liliana

“…The growing of image processing technology nowadays make it easier for user to modify and fake the images. Image fakery is a process to manipulate part or…”
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Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ) as new algorithm with integrating feature extraction and classification for Arrhythmia heartbeats classification by Imah, E. M., Jatmiko, W., Basaruddin, T.

“…Electrocardiogram (ECG) plays an important role in monitoring and preventing heart attacks. In this paper, we propose a new method Adaptive Multilayer…”
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Performance of a parallel technique for solving nonlinear systems arising from ODEs by Kartawidjaja, M.A., Suhartanto, H., Basaruddin, T.

“…An inexact Newton method is commonly used to solve large nonlinear systems, arising for instance from simulating models in mathematics, chemistry and physics…”
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Imperceptible of Watermarking in Digital Image Based Singular Value Decomposition by Cahyana, T. Basaruddin

“…Watermarking is a commonly used technique to protect digital image from unintended used such as counterfeiting. This paper will address one of the techniques…”
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Welcome message from the dean of faculty of computer science, Universitas Indonesia

“…Presents the introductory welcome message from the conference proceedings…”
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Human emotion recognition based on active appearance model and semi-supervised fuzzy C-means by Liliana, Dewi Yanti, Widyanto, M. Rahmat, Basaruddin, T.

“…Human emotion recognition is an emerging research area in the field of social signal processing. Facial expression is an important means to detect human…”
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Geometric Facial Components Feature Extraction for Facial Expression Recognition by Liliana, Dewi Yanti, Widyanto, M. Rahmat, Basaruddin, T.

“…Facial expression recognition is an active research challenge in computer vision and artificial intelligence since facial expressions contribute non-verbal…”
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Differentially private optimization algorithms for deep neural networks by Gylberth, Roan, Adnan, Risman, Yazid, Setiadi, Basaruddin, T.

“…Deep neural network based models has showed excellent ability in solving complex learning tasks in computer vision, speech recognition and natural language…”
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Shape analysis using generalized procrustes analysis on Active Appearance Model for facial expression recognition by Komalasari, Desy, Widyanto, M. Rahmat, Basaruddin, T., Liliana, Dewi Yanti

“…Facial expression recognition is an active research area in the field of signal social processing. The goal is to distinguish human emotion. The problem is…”
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