Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (752)
- Computer Engineering (596)
- Databases and Information Systems (376)
- Information Security (348)
- Electrical and Computer Engineering (343)
-
- Artificial Intelligence and Robotics (277)
- Numerical Analysis and Scientific Computing (255)
- Software Engineering (249)
- Social and Behavioral Sciences (238)
- Business (163)
- Programming Languages and Compilers (160)
- Graphics and Human Computer Interfaces (131)
- Theory and Algorithms (124)
- Other Computer Sciences (120)
- Life Sciences (112)
- Medicine and Health Sciences (92)
- Operations Research, Systems Engineering and Industrial Engineering (82)
- Communication (78)
- Mathematics (77)
- OS and Networks (75)
- Education (74)
- Law (68)
- Statistics and Probability (68)
- Digital Communications and Networking (61)
- Public Affairs, Public Policy and Public Administration (58)
- Technology and Innovation (57)
- Management Information Systems (53)
- Sociology (53)
- Institution
-
- Singapore Management University (493)
- TÜBİTAK (268)
- University of Nebraska - Lincoln (156)
- University of Texas at El Paso (91)
- City University of New York (CUNY) (86)
-
- San Jose State University (78)
- Technological University Dublin (66)
- University for Business and Technology in Kosovo (66)
- Embry-Riddle Aeronautical University (62)
- Missouri University of Science and Technology (60)
- Wright State University (60)
- Chulalongkorn University (58)
- China Simulation Federation (52)
- Walden University (49)
- Kennesaw State University (47)
- Old Dominion University (45)
- Air Force Institute of Technology (43)
- Dartmouth College (40)
- Nova Southeastern University (40)
- University of Nevada, Las Vegas (35)
- University of Texas at Arlington (34)
- Edith Cowan University (33)
- University of Kentucky (33)
- University of Nebraska at Omaha (33)
- Marquette University (30)
- University of South Florida (29)
- California Polytechnic State University, San Luis Obispo (28)
- Portland State University (28)
- Florida Institute of Technology (27)
- Boise State University (25)
- Keyword
-
- Machine learning (77)
- Machine Learning (53)
- Deep learning (50)
- Security (41)
- Cybersecurity (40)
-
- Classification (36)
- Computer Science (33)
- Intro to Data Science (33)
- Computer science (31)
- Deep Learning (30)
- Artificial intelligence (29)
- Department of Computer Science and Engineering (29)
- Cloud computing (26)
- Privacy (24)
- Technology (23)
- Data mining (22)
- Optimization (21)
- Social media (20)
- Blockchain (16)
- Big data (15)
- Clustering (15)
- Neural networks (15)
- Twitter (15)
- Android (14)
- Computer Vision (14)
- Computer vision (14)
- Information technology (14)
- Neural Networks (14)
- Algorithms (13)
- Internet of Things (13)
- Publication
-
- Research Collection School Of Computing and Information Systems (462)
- Turkish Journal of Electrical Engineering and Computer Sciences (268)
- Theses and Dissertations (123)
- The R Journal (92)
- Departmental Technical Reports (CS) (80)
-
- Master's Projects (62)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (58)
- Journal of System Simulation (52)
- Open Educational Resources (49)
- Walden Dissertations and Doctoral Studies (48)
- Computer Science Faculty Publications (46)
- Dissertations (43)
- Electronic Theses and Dissertations (43)
- CCAC Theses and Dissertations (39)
- International Journal of Business and Technology (36)
- Journal of Digital Forensics, Security and Law (35)
- Faculty Publications (34)
- Browse all Theses and Dissertations (31)
- 3-D Printed Model Structural Files (28)
- Computer Science Faculty Research & Creative Works (28)
- USF Tampa Graduate Theses and Dissertations (28)
- Conference papers (24)
- Mathematics, Statistics and Computer Science Faculty Research and Publications (23)
- Publications and Research (23)
- Computer Science and Information Technology Grants Collections (22)
- Computer Science Faculty Publications and Presentations (20)
- Computer Science: Faculty Publications (20)
- Masters Theses (20)
- School of Computing: Dissertations, Theses, and Student Research (20)
- Computer Science and Engineering Theses - Archive (19)
- Publication Type
- File Type
Articles 421 - 450 of 2925
Full-Text Articles in Computer Sciences
Using Project Management Knowledge And Practice To Address Digital Forensic Investigation Challenges, Steven S. Presley, Jeffrey P. Landry, Michael Black
Using Project Management Knowledge And Practice To Address Digital Forensic Investigation Challenges, Steven S. Presley, Jeffrey P. Landry, Michael Black
KSU Proceedings on Cybersecurity Education, Research and Practice
The management of digital forensics investigations represents a unique challenge. The field is relatively new, and combines the technical challenges of Information Systems with the legal challenges of forensics investigations. The challenges for the Digital Forensics Investigators and the organizations they support are many. This research effort examines the characteristics and challenges of Digital Forensics Investigations and compares them with the features and knowledge areas of project management. The goal was to determine if project management knowledge, as defined in a common body of knowledge, would be helpful in addressing digital forensics investigation challenges identified in the literature. The results …
Capturing The Existential Cyber Security Threats From The Sub-Saharan Africa Zone Through Literature Database, Samuel B. Olatunbosun, Nathanial J. Edwards, Cytyra D. Martineau
Capturing The Existential Cyber Security Threats From The Sub-Saharan Africa Zone Through Literature Database, Samuel B. Olatunbosun, Nathanial J. Edwards, Cytyra D. Martineau
KSU Proceedings on Cybersecurity Education, Research and Practice
Abstract - The Internet brought about the phenomenon known as Cyber-space which is boundless in nature. It is one of the fastest-growing areas of technical infrastructure development over the past decade. Its growth has afforded everyone the opportunity to carry out one or more transactions for personal benefits. The African continent; often branded as ‘backward’ by the Western press has been able to make substantial inroads into the works of Information and Computer Technology (ICT). This rapid transition by Africans into ICT power has thus opened up the opportunities for Cybercriminal perpetrators to seek and target victims worldwide including America …
Information Privacy Concerns In The Age Of Internet Of Things, Madhav Sharma, David Biros
Information Privacy Concerns In The Age Of Internet Of Things, Madhav Sharma, David Biros
KSU Proceedings on Cybersecurity Education, Research and Practice
Internet of things (IoT) offer new opportunities for advancement in many domains including healthcare, home automation, manufacturing and transportation. In recent years, the number of IoT devices have exponentially risen and this meteoric rise is poised to continue according to the industry. Advances in the IoT integrated with ambient intelligence are intended to make our lives easier. Yet for all these advancements, IoT also has a dark side. Privacy and security were already priorities when personal computers, devices and work stations were the only point of vulnerability to personal information, however, with the ubiquitous nature of smart technologies has increased …
A Blockchain-Based Security-Oriented Framework For Cloud Federation, Ramandeep Kaur Sandhu, Kweku Muata A. Osei-Bryson
A Blockchain-Based Security-Oriented Framework For Cloud Federation, Ramandeep Kaur Sandhu, Kweku Muata A. Osei-Bryson
KSU Proceedings on Cybersecurity Education, Research and Practice
Cloud federations have been formed to share the services, prompt and support cooperation, as well as interoperability among their already deployed cloud systems. However, the creation and management of the cloud federations lead to various security issues such as confidentially, integrity and availability of the data. Despite the access control policies in place, an attacker may compromise the communication channel processing the access requests and the decisions between the access control systems and the members(users) and vice-versa. In cloud federation, the rating of the services offered by different cloud members becomes integral to providing the users with the best quality …
Laboratory Exercises To Accompany Industrial Control And Embedded Systems Security Curriculum Modules, Gretchen Richards
Laboratory Exercises To Accompany Industrial Control And Embedded Systems Security Curriculum Modules, Gretchen Richards
KSU Proceedings on Cybersecurity Education, Research and Practice
The daily intrusion attempts and attacks on industrial control systems (ICS) and embedded systems (ES) underscore the criticality of the protection of our Critical Infrastructures (CIs). As recent as mid-July 2018, numerous reports on the infiltration of US utility control rooms by Russian hackers have been published. These successful infiltration and possible manipulation of the utility companies could easily translate to a devastating attack on our nation’s power grid and, consequently, our economy and well-being. Indeed, the need to secure the control and embedded systems which operate our CIs has never been so pronounced. In our attempt to address this …
Teaching Cybersecurity In An Undergraduate Engineering Course, Xiuli Qu, Xiaohong Yuan
Teaching Cybersecurity In An Undergraduate Engineering Course, Xiuli Qu, Xiaohong Yuan
KSU Proceedings on Cybersecurity Education, Research and Practice
Organizations create a huge amount of sensitive and confidential data, which must be protected from unauthorized access or disclosure. Nowadays, most organizations store their business data in digital formats. With the increasing use of digital data, data breaches are more often and serious in recent years. Therefore, it is very important for next-generation engineers to be aware of the importance of information security, and be able to recognize vulnerabilities and threats to an information system and design user-friendly and effective security measures. To achieve it, two modules of information systems security, including lectures and in-class labs, were developed and taught …
Study Of Physical Layer Security And Teaching Methods In Wireless Communications, Zhijian Xie, Christopher Horne
Study Of Physical Layer Security And Teaching Methods In Wireless Communications, Zhijian Xie, Christopher Horne
KSU Proceedings on Cybersecurity Education, Research and Practice
In most wireless channels, the signals propagate in all directions. For the communication between Alice and Bob, an Eavesdropper can receive the signals from both Alice and Bob as far as the Eavesdropper is in the range determined by the transmitting power. Through phased array antenna with beam tracking circuits or cooperative iteration, the signals are confined near the straight line connecting the positions of Alice and Bob, so it will largely reduce the valid placement of an Eavesdropper. Sometimes, this reduction can be prohibitive for Eavesdropper to wiretap the channel since the reduced space can be readily protected. Two …
Car Hacking: Can It Be That Simple?, Bryson Payne
Car Hacking: Can It Be That Simple?, Bryson Payne
KSU Proceedings on Cybersecurity Education, Research and Practice
The Internet of Things (IoT) has expanded the reach of technology at work, at home, and even on the road. As Internet-connected and self-driving cars become more commonplace on our highways, the cybersecurity of these “data centers on wheels” is of greater concern than ever. Highly publicized hacks against production cars, and a relatively small number of crashes involving autonomous vehicles, have brought the issue of securing smart cars to the forefront as a matter of public and individual safety. This article describes the integration of a module on car hacking into a semester-long ethical hacking cybersecurity course, including full …
Towards An Empirical Assessment Of Cybersecurity Readiness And Resilience In Small Businesses, Darrell Eilts, Yair Levy
Towards An Empirical Assessment Of Cybersecurity Readiness And Resilience In Small Businesses, Darrell Eilts, Yair Levy
KSU Proceedings on Cybersecurity Education, Research and Practice
Many small businesses struggle to improve their cybersecurity posture despite the risk to their business. Small businesses lacking adequate protection from cyber threats, or a business continuity strategy to recover from disruptions, have a very high risk of loss due to a cyberattack. These cyberattacks, either deliberate or unintentional, can become costly when a small business is not prepared. This developmental research is focused on the relationship between two constructs that are associated with readiness and resilience of small businesses based on their cybersecurity planning, implementation, as well as response activities. A Cybersecurity Preparedness-Risk Taxonomy (CyPRisT) is proposed using the …
Evaluating Two Hands-On Tools For Teaching Local Area Network Vulnerabilities, Ariana Brown, Jinsheng Xu, Xiaohong Yuan
Evaluating Two Hands-On Tools For Teaching Local Area Network Vulnerabilities, Ariana Brown, Jinsheng Xu, Xiaohong Yuan
KSU Proceedings on Cybersecurity Education, Research and Practice
According to the Verizon’s Data Breach Investigations Report, Local Area Network (LAN) access is the top vector for insider threats and misuses. It is critical for students to learn these vulnerabilities, understand the mechanisms of exploits, and know the countermeasures. The department of Computer Science at North Carolina A&T State University designed two different educational tools that help students learn ARP Spoofing Attacks, which is the most popular attack on LAN. The first tool, called Hacker’s Graphical User Interface (HGUI), is a visualization tool that demonstrates ARP Spoofing Attack with real time animation. The second tool is a hands-on (HandsOn) …
Digital Identity, Philip Andreae
Digital Identity, Philip Andreae
KSU Proceedings on Cybersecurity Education, Research and Practice
No abstract provided.
Why Managing 3rd Party Cybersecurity Risk Is A Matter Of National Security, Keith Deininger
Why Managing 3rd Party Cybersecurity Risk Is A Matter Of National Security, Keith Deininger
KSU Proceedings on Cybersecurity Education, Research and Practice
No abstract provided.
Six Things I Wish New Employees Knew, Brian Albertson
Six Things I Wish New Employees Knew, Brian Albertson
KSU Proceedings on Cybersecurity Education, Research and Practice
No abstract provided.
Why Networks Still Matter, Tim O'Neill
Why Networks Still Matter, Tim O'Neill
KSU Proceedings on Cybersecurity Education, Research and Practice
No abstract provided.
Beyond The Classroom - What Students Need To Know, Will Alexander
Beyond The Classroom - What Students Need To Know, Will Alexander
KSU Proceedings on Cybersecurity Education, Research and Practice
No abstract provided.
Seqothello: Querying Rna-Seq Experiments At Scale, Ye Yu, Jinpeng Liu, Xinan Liu, Yi Zhang, Eamonn Magner, Erik Lehnert, Chen Qian, Jinze Liu
Seqothello: Querying Rna-Seq Experiments At Scale, Ye Yu, Jinpeng Liu, Xinan Liu, Yi Zhang, Eamonn Magner, Erik Lehnert, Chen Qian, Jinze Liu
Computer Science Faculty Publications
We present SeqOthello, an ultra-fast and memory-efficient indexing structure to support arbitrary sequence query against large collections of RNA-seq experiments. It takes SeqOthello only 5 min and 19.1 GB memory to conduct a global survey of 11,658 fusion events against 10,113 TCGA Pan-Cancer RNA-seq datasets. The query recovers 92.7% of tier-1 fusions curated by TCGA Fusion Gene Database and reveals 270 novel occurrences, all of which are present as tumor-specific. By providing a reference-free, alignment-free, and parameter-free sequence search system, SeqOthello will enable large-scale integrative studies using sequence-level data, an undertaking not previously practicable for many individual labs.
Linking Gait Dynamics To Mechanical Cost Of Legged Locomotion, David V. Lee, Sarah L. Harris
Linking Gait Dynamics To Mechanical Cost Of Legged Locomotion, David V. Lee, Sarah L. Harris
Life Sciences Faculty Research
For millenia, legged locomotion has been of central importance to humans for hunting, agriculture, transportation, sport, and warfare. Today, the same principal considerations of locomotor performance and economy apply to legged systems designed to serve, assist, or be worn by humans in urban and natural environments. Energy comes at a premium not only for animals, wherein suitably fast and economical gaits are selected through organic evolution, but also for legged robots that must carry sufficient energy in their batteries. Although a robot's energy is spent at many levels, from control systems to actuators, we suggest that the mechanical cost of …
Bipartite Quantum Interactions: Entangling And Information Processing Abilities, Siddhartha Das
Bipartite Quantum Interactions: Entangling And Information Processing Abilities, Siddhartha Das
LSU Doctoral Dissertations
The aim of this thesis is to advance the theory behind quantum information processing tasks, by deriving fundamental limits on bipartite quantum interactions and dynamics. A bipartite quantum interaction corresponds to an underlying Hamiltonian that governs the physical transformation of a two-body open quantum system. Under such an interaction, the physical transformation of a bipartite quantum system is considered in the presence of a bath, which may be inaccessible to an observer. The goal is to determine entangling abilities of such arbitrary bipartite quantum interactions. Doing so provides fundamental limitations on information processing tasks, including entanglement distillation and secret key …
Liboblivious: A C++ Library For Oblivious Data Structures And Algorithms, Scott D. Constable, Steve Chapin
Liboblivious: A C++ Library For Oblivious Data Structures And Algorithms, Scott D. Constable, Steve Chapin
Electrical Engineering and Computer Science - Technical Reports
Infrastructure as a service (IaaS) is an enormously beneficial model for centralized data computation and storage. Yet, existing network-layer and hardware-layer security protections do not address a broad category of vulnerabilities known as side-channel attacks. Over the past several years, numerous techniques have been proposed at all layers of the software/hardware stack to prevent the inadvertent leakage of sensitive data. This report discusses a new technique which integrates seamlessly with C++ programs. We introduce a library, libOblivious, which provides thin wrappers around existing C++ standard template library classes, endowing them with the property of memory-trace obliviousness.
Bloomingleaf: A Formal Tool For Requirements Evolution Over Time, Alicia M. Grubb, Marsha Chechik
Bloomingleaf: A Formal Tool For Requirements Evolution Over Time, Alicia M. Grubb, Marsha Chechik
Computer Science: Faculty Publications
Our previous work presented the Evolving Intentions framework, which specified how evolving qualitative goal models can be modeled and analyzed. Recent improvements to the framework allow for precise semantics of goal relationships with propagation of both evidence for and evidence against a goal's satisfaction (as in Tropos), and enables evaluation of evolution with absolute time (in addition to relative time). The reasoning is expressed as a constraint satisfaction problem. In this paper, we present BloomingLeaf, a new web-based tool that implements the new semantics. We showcase how the implementation and architecture of BloomingLeaf can be used to answer time-based questions.
Reflection On Evolutionary Decision Making With Goal Modeling Via Empirical Studies, Alicia M. Grubb
Reflection On Evolutionary Decision Making With Goal Modeling Via Empirical Studies, Alicia M. Grubb
Computer Science: Faculty Publications
Goal models have long been used in academia without wide spread adoption in industry. If the fundamental purpose of goal models is to allow stakeholders to generate scenarios and ask 'what if' questions, then which parts of the process of model construction, analysis, and evolution benefit from and which are hindered by manual activities? The recent expansion of goal modelling to ask time-based questions further amplifies this issue because significant additional information is required from stakeholders. Through a series of empirical studies, we aim to isolate the processes of model construction, analysis, and evolution for the purpose of studying the …
Gogo: An Improved Algorithm To Measure The Semantic Similarity Between Gene Ontology Terms, Chenguang Zhao, Zheng Wang
Gogo: An Improved Algorithm To Measure The Semantic Similarity Between Gene Ontology Terms, Chenguang Zhao, Zheng Wang
Student Publications
Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in functional bioinformatics research. We implemented a software named GOGO for calculating the semantic similarity between GO terms. GOGO has the advantages of both information-content-based and hybrid methods, such as Resnik’s and Wang’s methods. Moreover, GOGO is relatively fast and does not need to calculate information content (IC) from a large gene annotation corpus but still has the advantage of using IC. This is achieved by considering the number of children nodes in the GO directed acyclic graphs when calculating the semantic contribution of an ancestor node …
2018 October 10 - Computation And Research In Data Science (Cards) Minutes, Computation And Research In Data Science, East Tennessee State University
2018 October 10 - Computation And Research In Data Science (Cards) Minutes, Computation And Research In Data Science, East Tennessee State University
Computation and Research in Data Science (CaRDS) Board Meeting Minutes
No abstract provided.
Off-Policy Integral Reinforcement Learning For Semi-Global Constrained Output Regulation Of Continuous-Time Linear Systems, Yongliang Yang, Xianzhong Chen, Yixin Yin, Donald C. Wunsch
Off-Policy Integral Reinforcement Learning For Semi-Global Constrained Output Regulation Of Continuous-Time Linear Systems, Yongliang Yang, Xianzhong Chen, Yixin Yin, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a data-driven method based on off-policy integral reinforcement learning to solve the semi-global output regulation of continuous-time linear systems with input saturation. A family of state feedback laws for the input constrained output regulation problem is designed based on solving an algebraic Riccati equation. In contrast to the existing methods, complete knowledge of the system dynamics is no longer required in this paper. Instead, the data collected from online implementation is efficiently utilized to design the controller. Therefore, the controller design in this paper is data driven. It is shown that the presented method can find feedback …
Dynamic Hierarchical Cache Management For Cloud Ran And Multi- Access Edge Computing In 5g Networks, Deepika Pathinga Rajendiran
Dynamic Hierarchical Cache Management For Cloud Ran And Multi- Access Edge Computing In 5g Networks, Deepika Pathinga Rajendiran
Master's Projects
Cloud Radio Access Networks (CRAN) and Multi-Access Edge Computing (MEC) are two of the many emerging technologies that are proposed for 5G mobile networks. CRAN provides scalability, flexibility, and better resource utilization to support the dramatic increase of Internet of Things (IoT) and mobile devices. MEC aims to provide low latency, high bandwidth and real- time access to radio networks. Cloud architecture is built on top of traditional Radio Access Networks (RAN) to bring the idea of CRAN and in MEC, cloud computing services are brought near users to improve the user’s experiences. A cache is added in both CRAN …
Enhancement Of Media Splicing Detection: A General Framework, Songpon Teerakanok, Tetsutaro Uehara
Enhancement Of Media Splicing Detection: A General Framework, Songpon Teerakanok, Tetsutaro Uehara
Journal of Digital Forensics, Security and Law
Digital media (i.e., image, audio) has played an influential role in today information system. The increasing of popularity in digital media has brought forth many technological advancements. The advancements, however, also gives birth to a number of forgeries and attacks against this type of information. With the availability of easy-to-use media manipulating tools available online, the authenticity of today digital media cannot be guaranteed. In this paper, a new general framework for enhancing today media splicing detection has been proposed. By combining results from two traditional approaches, the enhanced detection results show improvement in term of clarity in which anomalies …
Fingerprinting Jpegs With Optimised Huffman Tables, Sean Mckeown, Gordon Russell, Petra Leimich
Fingerprinting Jpegs With Optimised Huffman Tables, Sean Mckeown, Gordon Russell, Petra Leimich
Journal of Digital Forensics, Security and Law
A common task in digital forensics investigations is to identify known contraband images. This is typically achieved by calculating a cryptographic digest, using hashing algorithms such as SHA256, for each image on a given medium, and comparing individual digests with a database of known contraband. However, the large capacities of modern storage media and time pressures placed on forensics examiners necessitates the development of more efficient processing methods. This work describes a technique for fingerprinting JPEGs with optimised Huffman tables which requires only the image header to be present on the media. Such fingerprints are shown to be robust across …
A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman
A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman
Journal of Digital Forensics, Security and Law
Finding new methods to investigate criminal activities, behaviors, and responsibilities has always been a challenge for forensic research. Advances in big data, technology, and increased capabilities of smartphones has contributed to the demand for modern techniques of examination. Smartphones are ubiquitous, transformative, and have become a goldmine for forensics research. Given the right tools and research methods investigating agencies can help crack almost any illegal activity using smartphones. This paper focuses on conducting forensic analysis in exposing a terrorist or criminal network and introduces a new Big Forensic Data Framework model where different technologies of Hadoop and EnCase software are …
A Bit Like Cash: Understanding Cash-For-Bitcoin Transactions Through Individual Vendors, Stephanie J. Robberson, Mark R. Mccoy
A Bit Like Cash: Understanding Cash-For-Bitcoin Transactions Through Individual Vendors, Stephanie J. Robberson, Mark R. Mccoy
Journal of Digital Forensics, Security and Law
As technology improves and economies become more globalized, the concept of currency has evolved. Bitcoin, a cryptographic digital currency, has been embraced as a secure and convenient type of money. Due to its security and privacy for the user, Bitcoin is a good tool for conducting criminal trades. The Financial Crimes Enforcement Network (FinCEN) has regulations in place to make identification information of Bitcoin purchasers accessible to law enforcement, but enforcing these rules with cash-for-Bitcoin traders is difficult. This study surveyed cash-for-Bitcoin vendors in Oklahoma, Texas, Arkansas, Missouri, Kansas, Colorado, and New Mexico to determine personal demographic information, knowledge of …
From Rankings To Ratings: Rank Scoring Via Active Learning, Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
From Rankings To Ratings: Rank Scoring Via Active Learning, Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
Conference papers
In this paper we present RaScAL, an active learning approach to predicting real-valued scores for items given access to an oracle and knowledge of the overall item-ranking. In an experiment on six different datasets, we find that RaScAL consistently outperforms the state-of-the-art. The RaScAL algorithm represents one step within a proposed overall system of preference elicitations of scores via pairwise comparisons.