Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (7282)
- Computer Sciences (7169)
- Databases and Information Systems (2934)
- Software Engineering (2227)
- Social and Behavioral Sciences (2167)
-
- Business (1886)
- Artificial Intelligence and Robotics (1367)
- Engineering (1103)
- Numerical Analysis and Scientific Computing (864)
- International and Area Studies (852)
- Asian Studies (835)
- Information Security (740)
- Graphics and Human Computer Interfaces (642)
- Computer Engineering (548)
- Public Affairs, Public Policy and Public Administration (460)
- Operations Research, Systems Engineering and Industrial Engineering (451)
- Law (410)
- Theory and Algorithms (397)
- Technology and Innovation (380)
- Programming Languages and Compilers (360)
- Education (348)
- Communication (311)
- Economics (307)
- OS and Networks (272)
- Finance and Financial Management (242)
- Organizational Behavior and Theory (239)
- Strategic Management Policy (237)
- Higher Education (226)
- Social Media (221)
- Transportation (215)
- Keyword
-
- Singapore (284)
- Machine learning (131)
- Deep learning (118)
- Artificial intelligence (96)
- Innovation (82)
-
- Social media (79)
- Singapore Management University (77)
- China (70)
- Data mining (66)
- Reinforcement learning (59)
- Empirical study (57)
- Higher education (55)
- Software engineering (55)
- Privacy (52)
- Security (51)
- Deep Learning (50)
- Cloud computing (48)
- Online learning (48)
- Collaboration (47)
- Optimization (47)
- Training (47)
- Twitter (47)
- Task analysis (46)
- Neural networks (45)
- Sustainability (45)
- Visualization (45)
- COVID-19 (44)
- Natural language processing (44)
- Anomaly detection (43)
- Feature extraction (42)
- Publication Year
- Publication
-
- Research Collection School Of Computing and Information Systems (7017)
- Research Collection Lee Kong Chian School Of Business (838)
- Research Collection Yong Pung How School Of Law (354)
- Research Collection School of Social Sciences (331)
- Dissertations and Theses Collection (Open Access) (325)
-
- Research Collection College of Integrative Studies (221)
- Research Collection School Of Economics (189)
- Perspectives@SMU (116)
- Asian Management Insights (113)
- Research Collection School Of Accountancy (98)
- Knowledge@SMU (79)
- Research Collection Library (69)
- SMU Press Releases and News (38)
- Social Space (34)
- Oral History Collection (22)
- Dissertations and Theses Collection (17)
- Report to Stakeholders (16)
- Sim Kee Boon Institute for Financial Economics (16)
- CCX Research (14)
- Research@SMU: Connecting the Dots (11)
- MITB Thought Leadership Series (9)
- SMU Corporate Reports (9)
- Singapore Law Journal (Lexicon) (9)
- Student Publications (8)
- FORCE 2026 (7)
- Research Collection Institute of Innovation and Entrepreneurship (7)
- Centre for AI & Data Governance (2019-2025) (6)
- Research Collection Institute of Service Excellence (2007-2024) (6)
- Research Collection Office of Impact (6)
- COAR Asia OA Meeting 2021 (5)
- Publication Type
- File Type
Articles 8821 - 8850 of 10054
Full-Text Articles in Entire DC Network
Keep The Talk Flowing, M. Thulasidas
Keep The Talk Flowing, M. Thulasidas
Research Collection School Of Computing and Information Systems
Specialisation is good. It lets us go deep into a specific field of endeavour, but at the expense of a broad overview of everything.
Evolutionary Combinatorial Optimization For Recursive Supervised Learning With Clustering, Kiruthika Ramanathan, Sheng Uei Guan
Evolutionary Combinatorial Optimization For Recursive Supervised Learning With Clustering, Kiruthika Ramanathan, Sheng Uei Guan
Research Collection School Of Computing and Information Systems
The idea of using a team of weak learners to learn a dataset is a successful one in literature. In this paper, we explore a recursive incremental approach to ensemble learning. In this paper, patterns are clustered according to the output space of the problem, i.e., natural clusters are formed based on patterns belonging to each class. A combinatorial optimization problem is therefore formed, which is solved using evolutionary algorithms. The evolutionary algorithms identify the "easy" and the "difficult" clusters in the system. The removal of the easy patterns then gives way to the focused learning of the more complicated …
Ontology-Enriched Semantic Space For Video Search, Xiao-Yong Wei, Chong-Wah Ngo
Ontology-Enriched Semantic Space For Video Search, Xiao-Yong Wei, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Multimedia-based ontology construction and reasoning have recently been recognized as two important issues in video search, particularly for bridging semantic gap. The lack of coincidence between low-level features and user expectation makes concept-based ontology reasoning an attractive midlevel framework for interpreting high-level semantics. In this paper, we propose a novel model, namely ontology-enriched semantic space (OSS), to provide a computable platform for modeling and reasoning concepts in a linear space. OSS enlightens the possibility of answering conceptual questions such as a high coverage of semantic space with minimal set of concepts, and the set of concepts to be developed for …
Deception In Cyberspace: A Comparison Of Text-Only Vs. Avatar-Supported Medium, Holtjona Galanxhi, Fiona Fui-Hoon Nah
Deception In Cyberspace: A Comparison Of Text-Only Vs. Avatar-Supported Medium, Holtjona Galanxhi, Fiona Fui-Hoon Nah
Research Collection School Of Computing and Information Systems
The use of anthropomorphic avatars provides Internet users the opportunity and freedom to manipulate their identity. As cyberspace becomes a haven for deceptive behavior, human–computer interaction research will need to be carried out to study and understand these deceptive behaviors. The objective of this research is to investigate the behavior of deceivers and non-deceivers (or truth-tellers) in the cyberspace environment. We examine if the intention to deceive others influences one's choice of avatars in the online chat environment. We also investigate if communication medium (text-only vs. avatar-supported chat) influences one's perception of trustworthiness of the communication partner. A lab experiment …
The Future Of Information Systems Engineering, Keng Siau
The Future Of Information Systems Engineering, Keng Siau
Research Collection School Of Computing and Information Systems
No abstract provided.
Taking Stock Of The Creative Commons Experiment: Monitoring The Use Of Creative Commons Licenses And Evaluating Its Implications For The Future Of Creative Commons And For Copyright Law, Giorgos Cheliotis, Warren B. Chik, Ankit Guglani, Giri Kumar Tayi
Taking Stock Of The Creative Commons Experiment: Monitoring The Use Of Creative Commons Licenses And Evaluating Its Implications For The Future Of Creative Commons And For Copyright Law, Giorgos Cheliotis, Warren B. Chik, Ankit Guglani, Giri Kumar Tayi
Research Collection Yong Pung How School Of Law
We provide an analysis of the use of Creative Commons (CC) licenses, an approach to licens-ing creative works which has become very popular among authors who wish to promote more liberal sharing and use of their work. We provide data demonstrating the popularity of CC, ex-amine which specific license types within the CC framework are most popular, and then iden-tify contributing factors for the relative popularity of some of the license types. This includes in-dividual author incentives, the consistency and aims of the online communities which adopt CC as a licensing model, the underlying medium (text, photography, audio, video or …
A Hybrid Approach To Case Teaching, Swee Liang Tan, Roy Jin Hou Ng
A Hybrid Approach To Case Teaching, Swee Liang Tan, Roy Jin Hou Ng
Research Collection School Of Economics
We structure case based teaching using a combination of computer-support technology and in-class activities. We create and design an on-line learning tool, Case Study On-line (CSOL) that enables instructor to structure the delivery of teaching resources and set up assignment tasks in the system. The tool enables tasks to be set in a way that they can be completed sequentially, and learning resources can be accessed only when required by students. Upon submission of their assignments, students can promptly receive instructor’s explanations to the tasks. Follow up activities take place in class, with the objective to promote active learning. The …
Improved Maximum-Likelihood Estimation For The Common Shape Parameter Of Several Weibull Populations, Zhenlin Yang, Dennis K. J. Lin
Improved Maximum-Likelihood Estimation For The Common Shape Parameter Of Several Weibull Populations, Zhenlin Yang, Dennis K. J. Lin
Research Collection School Of Economics
The biasness problem of the maximum-likelihood estimate (MLE) of the common shape parameter of several Weibull populations is examined in detail. A modified MLE (MMLE) approach is proposed. In the case of complete and Type II censored data, the bias of the MLE can be substantial. This is noticeable even when the sample size is large. Such a bias increases rapidly as the degree of censorship increases and as more populations are involved. The proposed MMLE, however, is nearly unbiased and much more efficient than the MLE, irrespective of the degree of censorship, the sample sizes, and the number of …
Cross-Language And Cross-Media Image Retrieval: An Empirical Study At Imageclef2007, Steven C. H. Hoi
Cross-Language And Cross-Media Image Retrieval: An Empirical Study At Imageclef2007, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
This paper summarizes our empirical study of cross-language and cross-media image retrieval at the CLEF image retrieval track (ImageCLEF2007). In this year, we participated in the ImageCLEF photo retrieval task, in which the goal of the retrieval task is to search natural photos by some query with both textual and visual information. In this paper, we study the empirical evaluations of our solutions for the image retrieval tasks in three aspects. First of all, we study the application of language models and smoothing strategies for text-based image retrieval, particularly addressing the short text query issue. Secondly, we study the cross-media …
Practical Elimination Of Near-Duplicates From Web Video Search, Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo
Practical Elimination Of Near-Duplicates From Web Video Search, Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Current web video search results rely exclusively on text keywords or user-supplied tags. A search on typical popular video often returns many duplicate and near-duplicate videos in the top results. This paper outlines ways to cluster and filter out the nearduplicate video using a hierarchical approach. Initial triage is performed using fast signatures derived from color histograms. Only when a video cannot be clearly classified as novel or nearduplicate using global signatures, we apply a more expensive local feature based near-duplicate detection which provides very accurate duplicate analysis through more costly computation. The results of 24 queries in a data …
Rushes Video Summarization By Object And Event Understanding, Feng Wang, Chong-Wah Ngo
Rushes Video Summarization By Object And Event Understanding, Feng Wang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
This paper explores a variety of visual and audio analysis techniques in selecting the most representative video clips for rushes summarization at TRECVID 2007. These techniques include object detection, camera motion estimation, keypoint matching and tracking, audio classification and speech recognition. Our system is composed of two major steps. First, based on video structuring, we filter undesirable shots and minimize the inter-shot redundancy by repetitive shot detection. Second, a representability measure is proposed to model the presence of objects and four audio-visual events: motion activity of objects, camera motion, scene changes, and speech content, in a video clip. The video …
Context-Based Detection Of Clone-Related Bugs, Lingxiao Jiang, Zhendong Su, Edwin Chiu
Context-Based Detection Of Clone-Related Bugs, Lingxiao Jiang, Zhendong Su, Edwin Chiu
Research Collection School Of Computing and Information Systems
Studies show that programs contain much similar code, commonly known as clones. One of the main reasons for introducing clones is programmers' tendency to copy and paste code to quickly duplicate functionality. We commonly believe that clones can make programs difficult to maintain and introduce subtle bugs. Although much research has proposed techniques for detecting and removing clones to improve software maintainability, little has considered how to detect latent bugs introduced by clones. In this paper, we introduce a general notion of context-based inconsistencies among clones and develop an efficient algorithm to detect such inconsistencies for locating bugs. We have …
Column Heterogeneity As A Measure Of Data Quality, Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian
Column Heterogeneity As A Measure Of Data Quality, Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian
Research Collection School Of Computing and Information Systems
Data quality is a serious concern in every data management application, and a variety of quality measures have been proposed, including accuracy, freshness and completeness, to capture the common sources of data quality degradation. We identify and focus attention on a novel measure, column heterogeneity, that seeks to quantify the data quality problems that can arise when merging data from different sources. We identify desiderata that a column heterogeneity measure should intuitively satisfy, and discuss a promising direction of research to quantify database column heterogeneity based on using a novel combination of cluster entropy and soft clustering. Finally, we present …
Taking Stock Of The Creative Commons Experiment: Monitoring The Use Of Creative Commons Licenses And Evaluating Its Implications For The Future Of Creative Commons And For Copyright Law, Giorgos Cheliotis, Kam Wai, Warren Bartholomew Chik, Ankit Guglani, Giri Kumar Tayi
Taking Stock Of The Creative Commons Experiment: Monitoring The Use Of Creative Commons Licenses And Evaluating Its Implications For The Future Of Creative Commons And For Copyright Law, Giorgos Cheliotis, Kam Wai, Warren Bartholomew Chik, Ankit Guglani, Giri Kumar Tayi
Research Collection School Of Computing and Information Systems
We provide an analysis of the use of Creative Commons (CC) licenses, an approach to licensing creative works which has become very popular among authors who wish to promote more liberal sharing and use of their work. We provide data demonstrating the popularity of CC, examine which specific license types within the CC framework are most popular, and then identify contributing factors for the relative popularity of some of the license types.
Robust Local Search And Its Application To Generating Robust Schedules, Hoong Chuin Lau, Fei Xiao, Thomas Ou
Robust Local Search And Its Application To Generating Robust Schedules, Hoong Chuin Lau, Fei Xiao, Thomas Ou
Research Collection School Of Computing and Information Systems
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from scenario-based or stochastic programming approaches often used to tackle uncertainty. Given a value 0 < ? 1, we are interested to know what the robust objective value is, i.e. the optimal value if we allow an chance of not meeting it, assuming that certain data values are defined on bounded random variables. We show how a standard local search or metaheuristic routine can be extended to efficiently construct a decision rule with such guarantee, albeit heuristically. We demonstrate its practical applicability on the Resource Constrained Project Scheduling Problem with minimal and maximal time lags (RCPSP/max) taking into consideration activity duration uncertainty. Experiments show that, partial order schedules can be constructed that are robust in our sense without the need for a large planned horizon (due date), which improves upon the work proposed by Policella et al. 2004.
Globally Distributed Software Development Project Performance: An Empirical Analysis, Narayanasamy Ramasubbu, Rajesh Krishna Balan
Globally Distributed Software Development Project Performance: An Empirical Analysis, Narayanasamy Ramasubbu, Rajesh Krishna Balan
Research Collection School Of Computing and Information Systems
Software firms are increasingly distributing their software development effort across multiple locations. In this paper we present the results of a two year field study that investigated the effects of dispersion on the productivity and quality of distributed software development. We first develop a model of distributed software development. We then use the model, along with our empirically observed data, to understand the consequences of dispersion on software project performance. Our analysis reveals that, even in high process maturity environments, a) dispersion significantly reduces development productivity and has effects on conformance quality, and b) these negative effects of dispersion can …
Insults In Your Inbox, M. Thulasidas
Insults In Your Inbox, M. Thulasidas
Research Collection School Of Computing and Information Systems
Email is a boon at work, but aggressive staff may use it to inflict humiliation. Most of its impact has been positive. An email from the big boss to all@yourcompany, for instance, is a fair substitute for a general communication meet- ing. In smaller teams, email often saves meetings and increases productivity.
Who’S Creating?, M. Thulasidas
Who’S Creating?, M. Thulasidas
Research Collection School Of Computing and Information Systems
We don’t read to retain information or knowledge any more. We search, scan, locate keywords, browse and bookmark. The Internet is doing to our reading habits what the calculator did to our arithmetic abilities. Knowledge is not cheap, although our easy access to it through the Internet may indicate otherwise. When we all become users of information, our knowledge will stop at its current level because nobody will be creating it any more.
Overview Of The Imageclef 2007 Object Retrieval Task, Thomas Deselaers, Steven C. H. Hoi
Overview Of The Imageclef 2007 Object Retrieval Task, Thomas Deselaers, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL object recognition data to train object recognition methods and on the IAPR TC-12 benchmark dataset from which images of objects of the ten different classes bicycles, buses, cars, motorbikes, cats, cows, dogs, horses, sheep, and persons had to be retrieved. Seven international groups participated using a wide variety of methods. The results of the evaluation show that the task was very challenging and that different methods …
Ntu: Solution For The Object Retrieval Task Of The Imageclef2007, Steven C. H. Hoi
Ntu: Solution For The Object Retrieval Task Of The Imageclef2007, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Object retrieval is an interdisciplinary research problem between object recognition and content-based image retrieval (CBIR). It is commonly expected that object retrieval can be solved more effectively with the joint maximization of CBIR and object recognition techniques. We study a typical CBIR solution with application to the object retrieval tasks [26,27]. We expect that the empirical study in this work will serve as a baseline for future research when using CBIR techniques for object recognition.
Combining Predictors To Achieve Optimal Trade-Offs Between Selection Quality And Adverse Impact, Wilfried De Corte, Filip Lievens, Paul R. Sackett
Combining Predictors To Achieve Optimal Trade-Offs Between Selection Quality And Adverse Impact, Wilfried De Corte, Filip Lievens, Paul R. Sackett
Research Collection Lee Kong Chian School Of Business
The authors propose a procedure to determine (a) predictor composites that result in a Pareto-optimal trade-off between the often competing goals in personnel selection of quality and adverse impact and (b) the relative importance of the quality and impact objectives that correspond to each of these trade-offs. They also investigated whether the obtained Pareto-optimal composites continue to perform well under variability of the selection parameters that characterize the intended selection decision. The results of this investigation indicate that this is indeed the case. The authors suggest that the procedure be used as one of a number of potential strategies for …
Realizing Live Sequence Charts In System Verilog, Hai H. Wang, Shengchao Qin, Jun Sun, Jin Song Dong
Realizing Live Sequence Charts In System Verilog, Hai H. Wang, Shengchao Qin, Jun Sun, Jin Song Dong
Research Collection School Of Computing and Information Systems
The design of an embedded control system starts with an investigation of properties and behaviors of the process evolving within its environment, and an analysis of the requirement for its safety performance. In early stages, system requirements are often specied as scenarios of behavior using sequence charts for different use cases. This specication must be precise, intuitive and expressive enough to capture different aspects of embedded control systems. As a rather rich and useful extension to the classical message sequence charts, Live Sequence Charts (LSC), which provide a rich collection of constructs for specifying both possible and mandatory behaviors, are …
Protection For Sale Under Monopolistic Competition: An Empirical Investigation, Pao Li Chang
Protection For Sale Under Monopolistic Competition: An Empirical Investigation, Pao Li Chang
Research Collection School Of Economics
This paper proposes a general empirical framework to estimate the protection-for-sale model, where the protection regime shifts according to a sector's market structure (perfectly or monop-olistically competitive). We base the protection structure on Grossman and Helpman (1994) for the subset of perfectly competitive sectors and on Chang (2005) for the subset of monop- olistically competitive sectors. The two protection regimes are simultaneously estimated with joint constraints. The results of the J-test consistently reject the homogeneous (perfect compe- tition) protection-for-sale model often adopted in previous literature and suggest a direction of improvement toward the proposed heterogeneous protection structure model.
Big Picture Thinking Bridges Business-It Gap, Knowledge@Smu
Big Picture Thinking Bridges Business-It Gap, Knowledge@Smu
Knowledge@SMU
What lesson does John Godfrey Saxe’s poem, “The Blind Men and the Elephant”, offer information technology students at the Singapore Management University? The need for big picture thinking, says SMU information systems professor Venky Shakararaman, key architect of a business modelling and solution blueprinting course and co-author of a customised course text developed in partnership with Indian IT company, Infosys Technologies Ltd.
How Asian Companies Have Successfully Leveraged It To Go Global, Knowledge@Smu
How Asian Companies Have Successfully Leveraged It To Go Global, Knowledge@Smu
Knowledge@SMU
Asian companies are successfully leveraging IT to make a mark in the region and beyond. Jae Kyu Lee, Benjamin Gan Kok Siew and Vijay Sethi recently co-edited a book, Premier e-Business Cases from Asia: Problem-Solution-Challenge-Impact Approach, which provides an overview of innovative IT strategies and models adopted by 18 Asian companies in Korea and Singapore.
The Coevolution Of Economic And Political Development, Fali Huang
The Coevolution Of Economic And Political Development, Fali Huang
Research Collection School Of Economics
This paper establishes a simple model of long run economic and political development, which is driven by the inherent technical features of di¤erent production factors and the political con‡icts among factor owners on how to divide the outputs. The main production factor in economy evolves from land to physical capital and then to human capital, which enables their respective owners (landlords, capitalists, and workers) to gain political power in the same sequence, shaping the political development path from monarchy to oligarchy and …nally to democracy with full su¤rage. When it is too costly for any group of factor owners to …
Where Work And Death Meet, M. Thulasidas
Where Work And Death Meet, M. Thulasidas
Research Collection School Of Computing and Information Systems
STRESS is as much a part of our cor- porate careers as death is a fact of life. Still, it is best to keep the two (career and death) separate. This message is lost on some hardworking souls here who literally work themselves to death.
Cost-Time Sensitive Decision Tree With Missing Values, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Cost-Time Sensitive Decision Tree With Missing Values, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Research Collection School Of Computing and Information Systems
Cost-sensitive decision tree learning is very important and popular in machine learning and data mining community. There are many literatures focusing on misclassification cost and test cost at present. In real world application, however, the issue of time-sensitive should be considered in cost-sensitive learning. In this paper, we regard the cost of time-sensitive in cost-sensitive learning as waiting cost (referred to WC), a novelty splitting criterion is proposed for constructing cost-time sensitive (denoted as CTS) decision tree for maximal decrease the intangible cost. And then, a hybrid test strategy that combines the sequential test with the batch test strategies is …
An Augmented Approach To Support Collaborative Distance Learning Of Unified Modeling Language, Keng Siau, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Ashu Guru
An Augmented Approach To Support Collaborative Distance Learning Of Unified Modeling Language, Keng Siau, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Ashu Guru
Research Collection School Of Computing and Information Systems
Teaching in the classroom faces many challenges of providing a collaborative, interactive environment that effectively facilitates students’ learning. The challenges increase when the physical classroom converts into a virtual classroom. This difficulty is further exacerbated when the course is diagramming intensive, practice-oriented, and hands-on in nature. Technology has been sought after to help with these challenges. Web Conferencing software, when compared to Web Broadcasting software, can facilitate real-time interaction and collaboration in a distance learning context. For courses that are diagramming intensive and practice-oriented, Tablet PCs, when compared to desktop PCs, can support drawing and diagramming because of the ability …
Interface Design For Handheld Mobile Devices, Peter Tarasewich, Jun Gong, Fiona Fui-Hoon Nah
Interface Design For Handheld Mobile Devices, Peter Tarasewich, Jun Gong, Fiona Fui-Hoon Nah
Research Collection School Of Computing and Information Systems
Mobile computing has attracted a lot of attention from both the industry and academia in recent years. While a number of mobile applications have been developed, there are no established guidelines on the design of mobile device interfaces. This paper presents our initial efforts to provide a set of practical design guidelines for mobile device interfaces.