Publications - Machine Learning SG

Hyperprior Induced Unsupervised Disentanglement of Latent Representations (2019)

Abdul Fatir Ansari Harold Soh

hyperprior bayesian probability covariance matrix independence upper and lower bounds +4 more

Proceedings of the AAAI Conference on Artificial Intelligence 10 citations Published 2019-07-17
Heuristic Voting as Ordinal Dominance Strategies (2019)

Omer Lev Reshef Meir Svetlana Obraztsova Maria Polukarov

cardinal utility expected utility hypothesis voting heuristics hierarchy +6 more

33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 3 citations Published 2019-07-17
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. (2019)

Sandareka Wickramanayake Wynne Hsu Mong Li Lee

deep learning convolutional neural network artificial neural network discriminative model flex +3 more

Proceedings of the AAAI Conference on Artificial Intelligence 1 citations Published 2019-07-17
Explicit Interaction Model towards Text Classification (2019)

Cunxiao Du Zhaozheng Chen Fuli Feng Lei Zhu Tian Gan Liqiang Nie

machine learning computer science interaction model artificial intelligence deep neural networks

Proceedings of the AAAI Conference on Artificial Intelligence 16 citations Published 2019-07-17
Evaluating Recommender System Stability with Influence-Guided Fuzzing (2019)

David Shriver Sebastian G. Elbaum Matthew B. Dwyer David S. Rosenblum

movielens recommender system fuzz testing user experience design distrust +3 more

Proceedings of the AAAI Conference on Artificial Intelligence 1 citations Published 2019-07-17
Dynamic Malware Analysis with Feature Engineering and Feature Learning (2019)

Zhaoqi Zhang Panpan Qi Wei Wang

malware analysis feature engineering feature learning malware feature hashing +6 more

arXiv: Cryptography and Security 1 citations Published 2019-07-17
Distribution-based semi-supervised learning for activity recognition (2019)

Hangwei Qian Sinno Jialin Pan Chunyan Miao

semi supervised learning supervised learning feature extraction reproducing kernel hilbert space domain knowledge +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 1 citations Published 2019-07-17
Discrete Social Recommendation (2019)

Chenghao Liu Xin Wang Tao Lu Wenwu Zhu Jianling Sun Steven C. H. Hoi

recommender system hamming distance hash function binary code machine learning +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 7 citations Published 2019-07-17
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations (2019)

Navonil Majumder Soujanya Poria Devamanyu Hazarika Rada Mihalcea Alexander F. Gelbukh Erik Cambria

emotion classification conversation sentiment analysis utterance social media +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 97 citations Published 2019-07-17
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization (2019)

Jiaxin Shi Chen Liang Lei Hou Juanzi Li Zhiyuan Liu Hanwang Zhang

test set salience robustness artificial neural network data efficiency +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 8 citations Published 2019-07-17
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI (2019)

Abhay M. S. Aradhya Aditya Joglekar Sundaram Suresh Mahardhika Pratama

linear discriminant analysis resting state fmri feature vector convolution pattern recognition +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 6 citations Published 2019-07-17
CompareLDA: A topic model for document comparison (2019)

Maksim Tkachenko Hady Wirawan Lauw

latent dirichlet allocation topic model pairwise comparison pointwise approximation algorithm +4 more

Proceedings of the AAAI Conference on Artificial Intelligence 3 citations Published 2019-07-17
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems (2019)

Trong Nghia Hoang Quang Minh Hoang Kian Hsiang Low Jonathan P. How

multi agent system robustness message passing hyperparameter inference +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 11 citations Published 2019-07-17
Building Trust in Deep Learning System towards Automated Disease Detection (2019)

Zhan Wei Lim Mong Li Lee Wynne Hsu Tien Yin Wong

deep learning disease screening machine learning competence computer science +3 more

Proceedings of the AAAI Conference on Artificial Intelligence 5 citations Published 2019-07-17
Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom. (2019)

Josip Car Aziz Sheikh Paul Wicks Marc S. Williams

digital health big data data sharing emerging technologies information privacy +5 more

BMC Medicine 18 citations Published 2019-07-17
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering (2019)

Xiangpeng Li Jingkuan Song Lianli Gao Xianglong Liu Wenbing Huang Xiangnan He Chuang Gan

question answering recurrent neural network machine translation machine learning computer science +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 62 citations Published 2019-07-17
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss (2019)

Peixiang Zhong Di Wang Chunyan Miao

perplexity affect semantics syntax human communication +6 more

Proceedings of the AAAI Conference on Artificial Intelligence 25 citations Published 2019-07-17
Adversarial Unsupervised Representation Learning for Activity Time-Series (2019)

Karan Aggarwal Shafiq R. Joty Luis Fernández-Luque Jaideep Srivastava

feature learning wearable technology generalizability theory machine learning popularity +6 more

33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 5 citations Published 2019-07-17
Robust outcome weighted learning for optimal individualized treatment rules. (2019)

Sheng Fu Qinying He Sanguo Zhang Yufeng Liu

precision medicine robustness machine learning computer science artificial intelligence +3 more

Journal of Biopharmaceutical Statistics 2 citations Published 2019-07-16
Pose-Guided Representation Learning for Person Re-Identification. (2019)

Jianing Li Shiliang Zhang Qi Tian Meng Wang Wen Gao

pose feature learning body region feature extraction boosting +6 more

IEEE Transactions on Pattern Analysis and Machine Intelligence 10 citations Published 2019-07-16

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Hyperprior Induced Unsupervised Disentanglement of Latent Representations (2019)

Heuristic Voting as Ordinal Dominance Strategies (2019)

FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions. (2019)

Explicit Interaction Model towards Text Classification (2019)

Evaluating Recommender System Stability with Influence-Guided Fuzzing (2019)

Dynamic Malware Analysis with Feature Engineering and Feature Learning (2019)

Distribution-based semi-supervised learning for activity recognition (2019)

Discrete Social Recommendation (2019)

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations (2019)

DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization (2019)

Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI (2019)

CompareLDA: A topic model for document comparison (2019)

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems (2019)

Building Trust in Deep Learning System towards Automated Disease Detection (2019)

Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom. (2019)

Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering (2019)

An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss (2019)

Adversarial Unsupervised Representation Learning for Activity Time-Series (2019)

Robust outcome weighted learning for optimal individualized treatment rules. (2019)

Pose-Guided Representation Learning for Person Re-Identification. (2019)