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ACM Transactions on Intelligent Systems and Technology (TIST) - Research Survey and Regular Papers, Volume 9 Issue 5, July 2018

Section: Research Survey

Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Zixing Zhang, Jürgen Geiger, Jouni Pohjalainen, Amr El-Desoky Mousa, Wenyu Jin, Björn Schuller
Article No.: 49
DOI: 10.1145/3178115

Eliminating the negative effect of non-stationary environmental noise is a long-standing research topic for automatic speech recognition but still remains an important challenge. Data-driven supervised approaches, especially the ones based on deep...

Section: Regular Papers

Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach
Qiang Liu, Feng Yu, Shu Wu, Liang Wang
Article No.: 50
DOI: 10.1145/3173458

With the rapid growth of social media, massive misinformation is also spreading widely on social media, e.g., Weibo and Twitter, and brings negative effects to human life. Today, automatic misinformation identification has drawn attention from...

Dynamic Optimization of the Level of Operational Effectiveness of a CSOC Under Adverse Conditions
Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam
Article No.: 51
DOI: 10.1145/3173457

The analysts at a cybersecurity operations center (CSOC) analyze the alerts that are generated by intrusion detection systems (IDSs). Under normal operating conditions, sufficient numbers of analysts are available to analyze the alert workload....

Exploiting Multilabel Information for Noise-Resilient Feature Selection
Ling Jian, Jundong Li, Huan Liu
Article No.: 52
DOI: 10.1145/3158675

In a conventional supervised learning paradigm, each data instance is associated with one single class label. Multilabel learning differs in the way that data instances may belong to multiple concepts simultaneously, which naturally appear in a...

Multiview Discrete Hashing for Scalable Multimedia Search
Xiaobo Shen, Fumin Shen, Li Liu, Yun-Hao Yuan, Weiwei Liu, Quan-Sen Sun
Article No.: 53
DOI: 10.1145/3178119

Hashing techniques have recently gained increasing research interest in multimedia studies. Most existing hashing methods only employ single features for hash code learning. Multiview data with each view corresponding to a type of feature...

Automatic Extraction of Behavioral Patterns for Elderly Mobility and Daily Routine Analysis
Chen Li, William K. Cheung, Jiming Liu, Joseph K. Ng
Article No.: 54
DOI: 10.1145/3178116

The elderly living in smart homes can have their daily movement recorded and analyzed. As different elders can have their own living habits, a methodology that can automatically identify their daily activities and discover their daily routines...

On Incremental High Utility Sequential Pattern Mining
Jun-Zhe Wang, Jiun-Long Huang
Article No.: 55
DOI: 10.1145/3178114

High utility sequential pattern (HUSP) mining is an emerging topic in pattern mining, and only a few algorithms have been proposed to address it. In practice, most sequence databases usually grow over time, and it is inefficient for existing...

Optimum Velocity Profile of Multiple Bernstein-Bézier Curves Subject to Constraints for Mobile Robots
Andrej Zdešar, Igor Škrjanc
Article No.: 56
DOI: 10.1145/3183891

This article deals with trajectory planning that is suitable for nonholonomic differentially driven wheeled mobile robots. The path is approximated with a spline that consists of multiple Bernstein-Bézier curves that are merged together in...

Integrate and Conquer: Double-Sided Two-Dimensional k-Means Via Integrating of Projection and Manifold Construction
Chong Peng, Zhao Kang, Shuting Cai, Qiang Cheng
Article No.: 57
DOI: 10.1145/3200488

In this article, we introduce a novel, general methodology, called integrate and conquer, for simultaneously accomplishing the tasks of feature extraction, manifold construction, and clustering, which is taken to be superior to building a...

Combination Forecasting Reversion Strategy for Online Portfolio Selection
Dingjiang Huang, Shunchang Yu, Bin Li, Steven C. H. Hoi, Shuigeng Zhou
Article No.: 58
DOI: 10.1145/3200692

Machine learning and artificial intelligence techniques have been applied to construct online portfolio selection strategies recently. A popular and state-of-the-art family of strategies is to explore the reversion phenomenon through online...

Interactive Visual Graph Mining and Learning
Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry
Article No.: 59
DOI: 10.1145/3200764

This article presents a platform for interactive graph mining and relational machine learning called GraphVis. The platform combines interactive visual representations with state-of-the-art graph mining and relational machine learning techniques...

The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia
Xuefeng Peng, Li-Kai Chi, Jiebo Luo
Article No.: 60
DOI: 10.1145/3200751

From reducing stress and loneliness, to boosting productivity and overall well-being, pets are believed to play a significant role in people’s daily lives. Many traditional studies have identified that frequent interactions with pets could...