Browsing Computer Science by Title
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ANAC 2017: Repeated multilateral negotiation league
(Springer, 2021)The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human ... -
ANAC 2018: Repeated multilateral negotiation league
(Springer, 2020)This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants ... -
Analysis of energy harvesting for green cognitive radio networks
(IEEE, 2014)This paper develops a Markov Chain analysis framework for an RF energy harvesting cognitive radio network where the secondary system users are furnished with finite-sized batteries. We consider a network where the only ... -
Analysis of speaker similarity in the statistical speech synthesis systems using a hybrid approach
(IEEE, 2012)Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ... -
Analysis of speech-based measures for detecting and monitoring Alzheimer’s disease
(Springer Science+Business Media, 2014)Automatic diagnosis of the Alzheimer’s disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech ... -
Anti-spoofing for text-independent speaker verification: An initial database, comparison of countermeasures, and human performance
(IEEE, 2016-04)In this paper, we present a systematic study of the vulnerability of automatic speaker verification to a diverse range of spoofing attacks. We start with a thorough analysis of the spoofing effects of five speech synthesis ... -
An approach for detecting inconsistencies between behavioral models of the software architecture and the code
(IEEE, 2012)In practice, inconsistencies between architectural documentation and the code might arise due to improper implementation of the architecture or the separate, uncontrolled evolution of the code. Several approaches have been ... -
Arabic offensive language on twitter: Analysis and experiments
(Association for Computational Linguistics (ACL), 2021)Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arabic offensive tweet dataset. We introduce ... -
An architecture viewpoint for modeling dynamically configurable software systems
(Elsevier, 2017-01-01)Current software systems are rarely static and need to be able to change their topology and behavior to the changing context. To support the communication among stakeholders, guide the design decisions, and analyze the ... -
Are the streamingformat wars over?
(IEEE, 2018-11-28)An average US viewer watches some form of video content five hours a day. The majority ofthe viewed content is still broadcast (over the air, cable, IPTV or satellite), however, the share of the streaming content has been ... -
An area efficient real time implementation of dual tree complex wavelet transform in field programmable gate arrays
(IEEE, 2015)Biomedical signals (BSs), which give information about the normal condition and also the inherent irregularities of our body, are expected to have non-stationary character due to the time-varying behavior of physiological ... -
Artificial intelligence enabled software-defined networking: A comprehensive overview
(The Institution of Engineering and Technology, 2019-03)Software-defined networking (SDN) represents a promising networking architecture that combines central management and network programmability. SDN separates the control plane from the data plane and moves the network ... -
Artificial intelligence techniques for conflict resolution
(Springer, 2021-08)Conflict resolution is essential to obtain cooperation in many scenarios such as politics and business, as well as our day to day life. The importance of conflict resolution has driven research in many fields like anthropology, ... -
Artificial intelligence tools for academic management: assigning students to academic supervisors
(International Academy of Technology, Education and Development (IATED), 2020)In the last few years, there has been a broad range of research focusing on how learning should take place both in the classroom and outside the classroom. Even though academic dissertations are a vital step in the academic ... -
Asset price and direction prediction via deep 2D transformer and convolutional neural networks
(ACM, 2022-11-02)Artificial intelligence-based algorithmic trading has recently started to attract more attention. Among the techniques, deep learning-based methods such as transformers, convolutional neural networks, and patch embedding ... -
Authoring and presentation tools for distance learning over interactive TV
(ACM, 2010)We present a complete system for distance learning over interactive TV with novel tools for authoring and presentation of lectures and exams, and evaluation of student and system performance. The main technological ... -
Automated adaptive playback for encoder-adjudicated live sports
(IEEE, 2022)In low-latency live streaming, it is not easy to simultaneously avoid stalls and maintain low latency. The trade-off needs to be decided in real time. One of the best tools for controlling the buffer level (hence, the ... -
Automated classification of static code analysis alerts: a case study
(IEEE, 2013)Static code analysis tools automatically generate alerts for potential software faults that can lead to failures. However, developers are usually exposed to a large number of alerts. Moreover, some of these alerts are ... -
Automated defect prioritization based on defects resolved at various project periods
(Elsevier, 2021-09)Defect prioritization is mainly a manual and error-prone task in the current state-of-the-practice. We evaluated the effectiveness of an automated approach that employs supervised machine learning. We used two alternative ... -
Automated extraction of feature models from android based portable devices
(IEEE, 2017)Domain analysis is an essential activity in software product line engineering to identify common and variable features among the products of a product family. Feature models are commonly used for depicting the identified ...
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