• Listening to professional voices: draft 2 of the ACM code of ethics and professional conduct 

  Flick, Catherine ; Brinkman, Bo ; Gotterbarn, D. W. ; Miller, Keith ; Vazansky, Kate ; Wolf, Marty J. (Article)

  For the first time since 1992, the ACM Code of Ethics and Professional Conduct (the Code) is being updated. The Code Update Task Force in conjunction with the Committee on Professional Ethics is seeking advice from ACM ...
• Audio-based Event Recognition System for Smart Homes 

  Vafeiadis, Anastasios ; Votis, Konstantinos ; Giakoumis, Dimitrios ; Tzovaras, Dimitrios ; Chen, Liming ; Hamzaoui, Raouf (Conference)

  Building an acoustic-based event recognition system for smart homes is a challenging task due to the lack of high-level structures in environmental sounds. In particular, the selection of effective features is still an ...
• Quantification of Perception Clusters Using R-Fuzzy Sets and Grey Analysis 

  Khuman, A. S. ; Yang, Yingjie ; John, Robert, 1955- ; Liu, Sifeng (Conference)

  This paper investigates the use of the R-fuzzy significance measure hybrid approach introduced by the authors in a previous work; used in conjunction with grey analysis to allow for further inferencing, providing a higher ...
• R-fuzzy Sets and Grey System Theory 

  Liu, Sifeng ; Khuman, A. S. ; Yang, Yingjie ; John, Robert, 1955- (Conference)

  This paper investigates the use of grey theory to enhance the concept of an R-fuzzy set, with regards to the precision of the encapsulating set of returned significance values. The use of lower and upper approximations ...
• Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology. Application to Eurobonds Credit Risk Evaluation 

  Chiclana, Francisco ; Mata, F. ; Perez, L. G. ; Herrera-Viedma, Enrique (Article)

  In decision making, a widely used methodology to manage unbalanced fuzzy linguistic information is the linguistic hierarchy (LH), which relies on a linguistic symbolic computational model based on ordinal 2-tuple linguistic ...
• Analysing the Moodle e-learning platform through subgroup discovery algorithms based on evolutionary fuzzy systems 

  Carmona, C. J. ; Elizondo, David (Technical Report)

  Nowadays, there is a increasing in the use of learning management systems from the universities. This type of systems are also known under other di erent terms as course management systems or learning content ...
• Progressive Preference Articulation for Decision Making in Multi-Objective Optimisation Problems 

  Rostami, Shahin ; Neri, Ferrante ; Epitropakis, Michael G. (Article)

  This paper proposes a novel algorithm for addressing multi-objective optimisation problems, by employing a progressive preference articulation approach to decision making. This enables the interactive incorporation of ...
• Innovating Responsibly in ICT for Ageing: Drivers, Obstacles and Implementation 

  Chatfield, Kate ; Iatridis, Konstantinos ; Stahl, Bernd Carsten, 1968- ; Paspallis, Nearchos (Article)

  Responsible research and innovation (RRI) is a nascent concept, promoted actively by the European Union and other policy makers around the world. Hitherto, this concept has been associated primarily with publicly funded ...
• The effect of diversity maintenance on prediction in dynamic multi-objective optimization 

  Ruan, Gan ; Yu, Guo ; Zheng, Jinhua ; Zou, Juan ; Yang, Shengxiang (Article)

  There are many dynamic multi-objective optimization problems (DMOPs) in real-life engineering applications whose objectives change over time. After an environmental change occurs, prediction strategies are commonly used ...
• Supervised Descriptive Rule Discovery: A Survey of the State-of-the-Art 

  Carmona, C. J. ; Elizondo, David (Technical Report)

  The supervised descriptive rule discovery concept groups a set of data mining techniques whose objective is to describe data with respect to a property of interest. Among the techniques within this concept are the ...
• Subgroup Discovery trhough Evolutionary Fuzzy Systems applied to Bioinformatic problems 

  Elizondo, David ; Carmona, C. J. (Other)

  Subgroup discovery is a descriptive data mining technique using supervised learning. This paper presents a summary about the main properties and elements about subgroup discovery task. In addition, we will focus on the ...
• Subgroup Discovery: Real-World Applications 

  Carmona, C. J. ; Elizondo, David (Technical Report)

  Subgroup discovery is a data mining technique which extracts interesting rules with respect to a target variable. An important characteristic of this task is the combination of predictive and descriptive induction. In ...
• Scalarizing functions in decomposition-based multiobjective evolutionary algorithms 

  Jiang, Shouyong ; Yang, Shengxiang ; Wang, Yong ; Liu, Xiaobin (Article)

  Decomposition-based multiobjective evolutionary algorithms have received increasing research interests due to their high performance for solving multiobjective optimization problems. However, scalarizing functions, which ...
• An Intuitionistic Fuzzy Stochastic Decision-Making Method Based on Case-Based Reasoning and Prospect Theory 

  Li, Peng ; Yang, Yingjie ; Wei, Cuiping (Article)

  According to the case-based reasoning method and prospect theory, this paper mainly focuses on finding a way to obtain decision-makers’ preferences and the criterion weights for stochastic multicriteria decision-making ...
• Automatic Subjective Quality Estimation of 3D Stereoscopic Videos: NR-RR Approach 

  Malekmohamadi, Hossein (Conference)

  A method for estimating subjective quality score of 3D stereoscopic video is proposed which is based on decision trees. The output of this estimation can be fed into encoding and transmission units for compensation. The ...
• How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder 

  Ghigliani, Pablo Esteban ; Baxter, Paul ; Belpaeme, Tony ; Billing, Erik ; Cai, Haibin ; Cao, Hoang-Long ; Coeckelbergh, Mark ; Costescu, Cristina ; David, Daniel ; De Beir, Albert ; Fang, Yingfeng ; Ju, Zhaojie ; Kennedy, James ; Liu, Honghai ; Mazel, Alexandre ; Pandey, Amit ; Richardson, Kathleen ; Senft, Emmanuel ; Thill, Serge ; Van de Perre, Greet ; Vanderborght, Bram ; Vernon, David ; Yu, Hui ; Ziemke, Tom (Article)

  Robot-Assisted Therapy (RAT) has successfully been used to improve social skills in children with autism spectrum disorders (ASD) through remote control of the robot in so-called Wizard of Oz (WoZ) paradigms.However, there ...
• Affordance and Habitus: Understanding Land Records E-services in Bangladesh 

  Brooks, L. ; Alam, M. S. (Book chapter)

  Technology is ubiquitous, including in some public sector organisations in developing countries. This paper explores the introduction and use of e-services into the land records service in Bangladesh and how the role ...
• Biomechanical Flow Amplification Arising From the Variable Deformation of the Subglottic Mucosa 

  Goodyer, E. N. ; Muller, Frank ; Hess, Markus ; Kandan, Karthikeyan ; Farukh, Farukh (Article)
• Successes and challenges in developing a hybrid approach to sentiment analysis 

  Appel, Orestes ; Chiclana, Francisco ; Carter, Jenny ; Fujita, Hamido (Article)

  This article covers some success and learning experiences attained during the developing of a hybrid approach to Sentiment Analysis (SA) based on a Sentiment Lexicon, Semantic Rules, Negation Handling, Ambiguity Management ...
• Linguistic multi-criteria decision-making model with output variable expressive richness 

  Herrera-Viedma, Enrique ; Chiclana, Francisco ; Cid-Lopez, Andres ; Hornos, Miguel J. ; Carrasco, Ramon Alberto (Article)

  In general, traditional decision-making models are based on methods that perform calculations on quantitative measures. These methods are usually applied to assess possible solutions to a problem, resulting in a ranking ...

View more