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1,379 results on '"SELAMAT, ALI"'

151. Granular-Rule Extraction to Simplify Data

Author

Mashinchi, Reza, Selamat, Ali, Ibrahim, Suhaimi, Krejcar, Ondrej, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Nguyen, Ngoc Thanh, editor, Trawiński, Bogdan, editor, and Kosala, Raymond, editor

Published
2015
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167. Additional file 1 of Challenges and opportunity in mobility among older adults – key determinant identification

Author

Maresova, Petra, Krejcar, Ondrej, Maskuriy, Raihan, Bakar, Nor Azlina Abu, Selamat, Ali, Truhlarova, Zuzana, Horak, Jiri, Joukl, Miroslav, and Vítkova, Lucie

Abstract

Additional file 1: Figure A1. Sunburst chart on most recent keywords and most cited keyword. Table A1. Keywords with the highest Total Link Strength (TLS) to the keyword ‘mobility’ in Web of Science. Table A2. Keywords with the highest TLS to the keyword ‘accessibility’ in Web of Science. Table A3. Keywords with the highest TLS to the keyword ‘spatial mobility’ in Web of Science. Table A4. Keywords with the highest TLS to ‘mobility’ in Scopus. Table A5. Keywords with the highest TLS to ‘spatial analysis’ in Scopus.

Published
2023
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177. Modified Frequency-Based Term Weighting Scheme for Accurate Dark Web Content Classification

Author

Sabbah, Thabit, Selamat, Ali, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Jaafar, Azizah, editor, Mohamad Ali, Nazlena, editor, Mohd Noah, Shahrul Azman, editor, Smeaton, Alan F., editor, Bruza, Peter, editor, Bakar, Zainab Abu, editor, Jamil, Nursuriati, editor, and Sembok, Tengku Mohd Tengku, editor

Published
2014
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178. A Preference Weights Model for Prioritizing Software Requirements

Author

Achimugu, Philip, Selamat, Ali, Ibrahim, Roliana, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Hwang, Dosam, editor, Jung, Jason J., editor, and Nguyen, Ngoc-Thanh, editor

Published
2014
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179. A Web-Based Multi-Criteria Decision Making Tool for Software Requirements Prioritization

Author

Achimugu, Philip, Selamat, Ali, Ibrahim, Roliana, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, Series editor, Tanaka, Yuzuru, Series editor, Wahlster, Wolfgang, Series editor, Siekmann, Jörg, Series editor, Hwang, Dosam, editor, Jung, Jason J., editor, and Nguyen, Ngoc-Thanh, editor

Published
2014
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180. Combination of Multi-view Multi-source Language Classifiers for Cross-Lingual Sentiment Classification

Author

Hajmohammadi, Mohammad Sadegh, Ibrahim, Roliana, Selamat, Ali, Yousefpour, Alireza, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Nguyen, Ngoc Thanh, editor, Attachoo, Boonwat, editor, Trawiński, Bogdan, editor, and Somboonviwat, Kulwadee, editor

Published
2014
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187. Norm Augmented Reinforcement Learning Agents With Synthesized Normative Rules: A Proposed Normative Agent Framework

Author

Krejcar, Ondrej, Kadir, Mohd, and Selamat, Ali

Abstract

The dynamic deontic (DD) is a norm synthesis framework that extracts normative rules from reinforcement learning (RL), however it was not designed to be applied in agent coordination. This study proposes a norm augmented reinforcement learning framework (NARLF) that extends said model to include a norm deliberation mechanism for learned norms re-imputation for norm biased decision-making RL agents. This study aims to test the effects of synthesized norms applied on-line and off-line on agent learning performance. The framework consists of the DD framework extended with a pre-processing and deliberation component to allow re-imputation of normative rules. A deliberation model, the Norm Augmented Q-Table (NAugQT), is proposed to map normative rules into RL agents via q-values weight updates. Results show that the framework is able to map and improve RL agent's performance but only when synthesized off-line edited absolute norm salience value norms are used. This shows limitations when unstable salience norms are applied. Improvement in norm extraction and pre-processing are required.

Published
2023
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188. Social Recommender System Based on CNN Incorporating Tagging and Contextual Features

Author

Selamat, Ali, Ibrahim, Roliana, Alrashidi, Muhammad, and Fujita, Hamido

Abstract

The Internet's rapid growth has led to information overload, necessitating recommender systems for personalized suggestions. While content-based and collaborative filtering have been successful, data sparsity remains a challenge. To address this, this article presents a novel social recommender system based on convolutional neural networks (SRSCNN). This approach integrates deep learning and contextual information to overcome data sparsity. The SRSCNN model incorporates user and item factors obtained from a neural network architecture, utilizing features from item titles and tags through a CNN. The authors conducted extensive experiments with the MovieLens 10M dataset, demonstrating that the SRSCNN approach outperforms state-of-the-art baselines. This improvement is evident in both rating prediction and ranking accuracy across recommendation lists of varying lengths.

Published
2023
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