Publications without Fulltext
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14288/3
Browse
17 results
Search Results
Publication Metadata only Geolocation risk scores for credit scoring models(Springer Science and Business Media Deutschland Gmbh, 2024) Ünal, Erdem; Aydın, Uğur; Koraş, Murat; Department of Computer Engineering;Department of Industrial Engineering; Akgün, Barış; Gönen, Mehmet; College of EngineeringCustomer location is considered as one of the most informative demographic data for predictive modeling. It has been widely used in various sectors including finance. Commercial banks use this information in the evaluation of their credit scoring systems. Generally, customer city and district are used as demographic features. Even if these features are quite informative, they are not fully capable of capturing socio-economical heterogeneity of customers within cities or districts. In this study, we introduced a micro-region approach alternative to this district or city approach. We created features based on characteristics of micro-regions and developed predictive credit risk models. Since models only used micro-region specific data, we were able to apply it to all possible locations and calculate risk scores of each micro-region. We showed their positive contribution to our regular credit risk models.Publication Metadata only Topics in assistive technologies and inclusion for older people: introduction to the special thematic session(Springer Science and Business Media Deutschland GmbH, 2024) Hallewell Haslwanter, Jean D.; Panek, Paul; Department of Media and Visual Arts; Subaşı, Özge; Department of Media and Visual Arts; College of Social Sciences and HumanitiesThis special session aims to carry forward discussions on Active Assisted Living (AAL), focusing on both new technologies for older adults and the various social aspects of their development. The papers cover different aspects of the special theme. Some detail the creation or introduction of tailored technologies to meet the specific needs of seniors, including monitor technologies and an interactive system. Others explore methods like co-design and new heuristics to ensure these systems truly address real-world needs. While yet others focus on topics of concern, such as ageist biases of computer science graduates and designing living spaces to better allow existing technologies to be integrated. Overall, the papers recognize the unique challenges of developing systems for older adults while acknowledging the diversity within this age group.Publication Metadata only A second-order adaptive network model for organizational learning and usage of mental models for a team of match officials(2022) Kuilboer, Sam; Sieraad, Wesley; van Ments, Laila; Treur, Jan; Department of Computer Engineering; Canbaloğlu, Gülay; Undergraduate Student; Department of Computer Engineering; College of Engineering; N/AThis paper describes a multi-level adaptive network model for mental processes making use of shared mental models in the context of organizational learning in team-related performances. The paper describes the value of using shared mental models to illustrate the concept of organizational learning, and factors that influence team performances by using the analogy of a team of match officials during a game of football and show their behavior in a simulation of the shared mental model. The paper discusses potential elaborations of the different studied concepts, as well as implications of the paper in the domain of teamwork and team performance, and in terms of organizational learning.Publication Metadata only Assistive technologies and inclusion for older people introduction to the special thematic session(Springer International Publishing Ag, 2022) Panek, Paul; Haslwanter, Jean D. Hallewell; Department of Media and Visual Arts; Subaşı, Özge; Faculty Member; Department of Media and Visual Arts; College of Social Sciences and Humanities; 240920This special thematic session aims to continue the discussions around Active Assisted Living (AAL) by looking into how AAL systems and technologies are related to older people's lives. Almost all countries are challenged by the aging demographics and issues that people face in the course of aging. A great diversity of technologies have been developed and implemented. However, there are many challenges involved in developing and deploying systems that truly fit the needs and wishes of older people. The papers included in this session look at various topics, including ageism, addressing privacy with sensors, and evaluations of systems.Publication Metadata only Structured adaptive mesh refinement adaptations to retain performance portability with increasing heterogeneity(IEEE Computer Society, 2021) Dubey, Anshu; Berzins, Martin; Burstedde, Carsten; Norman, Michael L.; Wahib, Mohammed; Department of Computer Engineering; Erten, Didem Unat; Faculty Member; Department of Computer Engineering; College of Engineering; 219274Adaptive mesh refinement (AMR) is an important method that enables many mesh-based applications to run at effectively higher resolution within limited computing resources by allowing high resolution only where really needed. This advantage comes at a cost, however: greater complexity in the mesh management machinery and challenges with load distribution. With the current trend of increasing heterogeneity in hardware architecture, AMR presents an orthogonal axis of complexity. The usual techniques, such as asynchronous communication and hierarchy management for parallelism and memory that are necessary to obtain reasonable performance are very challenging to reason about with AMR. Different groups working with AMR are bringing different approaches to this challenge. Here, we examine the design choices of several AMR codes and also the degree to which demands placed on them by their users influence these choices.Publication Metadata only Application of data mining techniques to protein-protein interaction prediction(Springer, 2003) Atalay, R.; N/A; Department of Computer Engineering; Kocataş, Alper Tolga; Gürsoy, Attila; Master Student; Faculty Member; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 8745Protein-protein interactions are key to understanding biological processes and disease mechanisms in organisms. There is a vast amount of data on proteins waiting to be explored. In this paper, we describe application of data mining techniques, namely association rule mining and ID3 classification, to the problem of predicting protein-protein interactions. We have combined available interaction data and protein domain decomposition data to infer new interactions. Preliminary results show that our approach helps us find plausible rules to understand biological processes.Publication Metadata only Access pattern-aware data placement for hybrid DRAM/NVM(TUBITAKScientific and Technical Research Council Turkey, 2017) Department of Computer Engineering; Erten, Didem Unat; Faculty Member; Department of Computer Engineering; College of Engineering; 219274in recent years, increased interest in data-centric applications has led to an increasing demand for large capacity memory systems. Nonvolatile memory (NVM) technologies enable new opportunities in terms of process-scaling and energy consumption, and have become an attractive memory technology that serves as a secondary memory at low cost. However, NVM has certain disadvantages for write references, due to its high dynamic energy consumption for writes and low bandwidth compared to DRaM writes. in this paper, we propose an access-aware placement of objects in the application code for two types of memories. Given the desired power savings and acceptable performance loss, our placement algorithm suggests candidate variables for NVM. We present an evaluation of the proposed technique on two applications and study the energy and performance consequences of different placements.Publication Metadata only Comparison of pricing policies for a computational grid market(Springer-Verlag Berlin, 2006) N/A; Department of Computer Engineering; Sönmez, Ömer Ozan; Gürsoy, Attila; Master Student; Faculty Member; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 8745In this paper, we demonstrate and discuss the economical results of applying a fixed, a dynamic and a stochastic approximation based pricing policy in a free commodity market model designed for computational grids. We present the pricing policies and our economy-driven scheduling heuristic as a part of our market model in which we assume resource owners desire to profit or recover their costs, and users desire to execute their jobs within the limits of their budget and time. The comparison experiments revealed that our dynamic pricing policy is more successful as a means for achieving social welfare in the market.Publication Metadata only Transport protocol mechanisms for wireless networking: a review and comparative simulation study(Springer-Verlag Berlin, 2003) N/A; N/A; Department of Computer Engineering; Kanak, Alper; Özkasap, Öznur; Master Student; Faculty Member; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 113507Increasing popularity of wireless services has triggered the need for efficient wireless transport mechanisms. TCP, being the reliable transport level protocol widely used in wired network world, was not designed with heterogeneity in mind. The problem with the adaptation of TCP to the evolving wireless settings is because of the assumption that packet loss and unusual delays are mainly caused by congestion. TCP originally assumes that packet loss is very small. on the other hand, wireless links often suffer from high bit error rates and broken connectivity due to handoffs. A range of schemes, namely end-to-end, split-connection and link-layer protocols, has been proposed to improve the performance of transport mechanisms, in particular TCP, on wireless settings. In this study, we examine these mechanisms for wireless transport, and discuss our comparative simulation results of end-to-end TCP versions (Tahoe, Reno, NewReno and SACK) in various network settings including wireless LANs and wired-cum-wireless scenarios.Publication Metadata only What can video analysis do for MPEG standards?(Springer, 2003) Department of Electrical and Electronics Engineering; Tekalp, Ahmet Murat; Faculty Member; Department of Electrical and Electronics Engineering; College of Engineering; 26207Video analysis techniques can be classified as low-level and semantic-level analysis techniques. It appears that while low-level video analysis techniques are becoming more and more important for generic rectangular MPEG-4/H.264 video compression, automatic semantic-level analysis techniques are useful (for MPEG-4 object extraction and MPEG-7 indexing/summarization) only in limited well-constrained domains.