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Citations to this Journal [214 citations: 1–100 of 214 articles]

Articles published in Advances in Artificial Intelligence have been cited 214 times. The following is a list of the 214 articles that have cited the articles published in Advances in Artificial Intelligence.

  • Suwoong Lee, Hidetaka Nozawa, Daisuke Watanabe, and Kenji Inoue, “Force estimation via physical properties of air cushion for the control of a human-cooperative robot: basic experiments,” Advanced Robotics, vol. 29, no. 2, pp. 139–146, 2015. View at Publisher · View at Google Scholar
  • Krishna Chaitanya Patchava, Mohammed Benaissa, Bilal Malik, and Hatim Behairy, “Local linear embedded regression in the quantitative analysis of glucose in near infrared spectra,” Analytical Methods, vol. 7, no. 4, pp. 1484–1492, 2015. View at Publisher · View at Google Scholar
  • Faezeh S. Gohari, and Mohammad Jafar Tarokh, “New Recommender Framework: Combining Semantic Similarity Fusion and Bicluster Collaborative Filtering,” Computational Intelligence, 2015. View at Publisher · View at Google Scholar
  • Duy Vu, and Murray Aitkin, “Variational algorithms for biclustering models,” Computational Statistics & Data Analysis, 2015. View at Publisher · View at Google Scholar
  • Edward Rolando Núñez-Valdez, Juan Manuel Cueva Lovelle, Guillermo Infante Hernández, Aquilino Juan Fuente, and José Emilio Labra-Gayo, “Creating recommendations on electronic books: A collaborative learning implicit approach,” Computers in Human Behavior, 2015. View at Publisher · View at Google Scholar
  • Francesco Colace, Massimo De Santo, Luca Greco, Vincenzo Moscato, and Antonio Picariello, “A collaborative user-centered framework for recommending items in Online Social Networks,” Computers in Human Behavior, 2015. View at Publisher · View at Google Scholar
  • Vincenza Carchiolo, Alessandro Longheu, Michele Malgeri, and Giuseppe Mangioni, “Searching for experts in a context-aware recommendation network,” Computers in Human Behavior, 2015. View at Publisher · View at Google Scholar
  • Antoine Boutet, Davide Frey, Rachid Guerraoui, Arnaud Jégou, and Anne-Marie Kermarrec, “Privacy-preserving distributed collaborative filtering,” Computing, 2015. View at Publisher · View at Google Scholar
  • Huiji Gao, Jiliang Tang, and Huan Liu, “Addressing the cold-start problem in location recommendation using geo-social correlations,” Data Mining And Knowledge Discovery, vol. 29, no. 2, pp. 299–323, 2015. View at Publisher · View at Google Scholar
  • Santiago Cifuentes, Jose María Girón-Sierra, and Juan Jiménez, “Virtual fields and behaviour blending for the coordinated navigation of robot teams: Some experimental results.,” Expert Systems with Applications, 2015. View at Publisher · View at Google Scholar
  • Anupriya Gogna, and Angshul Majumdar, “Matrix Completion Incorporating Auxiliary Information for Recommender System Design,” Expert Systems with Applications, 2015. View at Publisher · View at Google Scholar
  • David Silvera-Tawil, David Rye, Manuchehr Soleimani, and Mari Velonaki, “Electrical Impedance Tomography for Artificial Sensitive Robotic Skin: A Review,” Ieee Sensors Journal, vol. 15, no. 4, pp. 2001–2016, 2015. View at Publisher · View at Google Scholar
  • Anna Cinzia Squicciarini, Dan Lin, Smitha Sundareswaran, and Joshua Wede, “Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites,” Ieee Transactions On Knowledge And Data Engineering, vol. 27, no. 1, pp. 193–206, 2015. View at Publisher · View at Google Scholar
  • Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, and Hui Xiong, “Discovering Urban Functional Zones Using Latent Activity Trajectories,” Ieee Transactions On Knowledge And Data Engineering, vol. 27, no. 3, pp. 712–725, 2015. View at Publisher · View at Google Scholar
  • Zhanyu Ma, Andrew E. Teschendorff, Arne Leijon, Yuanyuan Qiao, Honggang Zhang, and Jun Guo, “Variational Bayesian Matrix Factorization for Bounded Support Data,” Ieee Transactions On Pattern Analysis And Machine Intelligence, vol. 37, no. 4, pp. 876–889, 2015. View at Publisher · View at Google Scholar
  • Jingang Wang, Jie Yang, and Ruixi Luo, “Non-contact transient high-voltage measurement with self-integrating D-dot probe,” International Journal Of Applied Electromagnetics And Mechanics, vol. 47, no. 3, pp. 837–845, 2015. View at Publisher · View at Google Scholar
  • Fei Wang, “Adaptive Semi-Supervised Recursive Tree Partitioning: The ART Towards Large Scale Patient Indexing in Personalized Healthcare,” Journal of Biomedical Informatics, 2015. View at Publisher · View at Google Scholar
  • Waleed M. Al-Adrousy, Hesham A. Ali, and Taher T. Hamza, “A recommender system for team formation in MANET,” Journal of King Saud University - Computer and Information Sciences, 2015. View at Publisher · View at Google Scholar
  • Bidyut Kr. Patra, Raimo Launonen, Ville Ollikainen, and Sukumar Nandi, “A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data,” Knowledge-Based Systems, 2015. View at Publisher · View at Google Scholar
  • Heng-Ru Zhang, Fan Min, Xu He, and Yuan-Yuan Xu, “A Hybrid Recommender System Based on User-Recommender Interaction,” Mathematical Problems in Engineering, vol. 2015, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Solvi Arnold, Reiji Suzuki, and Takaya Arita, “Selection for Representation in Higher-Order Adaptation,” Minds and Machines, 2015. View at Publisher · View at Google Scholar
  • Ke Ji, and Hong Shen, “Making Recommendations From Top-N User-Item Subgroups,” Neurocomputing, 2015. View at Publisher · View at Google Scholar
  • Joanne L. Park, Malcolm M. Fairweather, and David I. Donaldson, “Making the case for mobile cognition: EEG and sports performance,” Neuroscience & Biobehavioral Reviews, 2015. View at Publisher · View at Google Scholar
  • Susanna Alloisio, Mario Nobile, and Antonio Novellino, “Multiparametric characterization of neuronal network activity for in vitro agrochemical neurotoxicity assessment,” NeuroToxicology, 2015. View at Publisher · View at Google Scholar
  • P. L. Mazzeo, P. Spagnolo, M. Leo, T. De Marco, and C. Distante, “Ball detection in soccer images using isophote’s curvature and discriminative features,” Pattern Analysis and Applications, 2015. View at Publisher · View at Google Scholar
  • Bingrui Geng, Lingling Li, Licheng Jiao, Maoguo Gong, Qing Cai, and Yue Wu, “NNIA-RS: A multi-objective optimization based recommender system,” Physica A: Statistical Mechanics and its Applications, 2015. View at Publisher · View at Google Scholar
  • Li Chen, Guanliang Chen, and Feng Wang, “Recommender systems based on user reviews: the state of the art,” User Modeling and User-Adapted Interaction, vol. 25, no. 2, pp. 99–154, 2015. View at Publisher · View at Google Scholar
  • Nelson Capela, and Susana Sargento, “An intelligent and optimized multihoming approach in real and heterogeneous environments,” Wireless Networks, 2015. View at Publisher · View at Google Scholar
  • Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, and Jun Ma, “VSRank: A Novel Framework for Ranking-Based Collaborative Filtering,” Acm Transactions On Intelligent Systems And Technology, vol. 5, no. 3, 2014. View at Publisher · View at Google Scholar
  • Soudip Roy Chowdhury, Florian Daniel, and Fabio Casati, “Recommendation and Weaving of Reusable Mashup Model Patterns for Assisted Development,” Acm Transactions on Internet Technology, vol. 14, no. 2-3, pp. 275–297, 2014. View at Publisher · View at Google Scholar
  • Alejandro Bellogin, Pablo Castells, and Ivan Cantador, “Neighbor Selection and Weighting in User-Based Collaborative Filtering: A Performance Prediction Approach,” Acm Transactions on The Web, vol. 8, no. 2, 2014. View at Publisher · View at Google Scholar
  • Anamika Yadav, and Yajnaseni Dash, “An Overview of Transmission Line Protection by Artificial Neural Network: Fault Detection, Fault Classification, Fault Location, and Fault Direction Discrimination,” Advances in Artificial Neural Systems, vol. 2014, pp. 1–20, 2014. View at Publisher · View at Google Scholar
  • S. Sasikala, S. Appavu alias Balamurugan, and S. Geetha, “Multi Filtration Feature Selection (MFFS) to improve discriminatory ability in clinical data set,” Applied Computing and Informatics, 2014. View at Publisher · View at Google Scholar
  • Pedro Henriques Abreu, Daniel Castro Silva, Fernando Almeida, and João Mendes-Moreira, “Improving a simulated soccer team's performance through a Memory-Based Collaborative Filtering approach,” Applied Soft Computing, vol. 23, pp. 180–193, 2014. View at Publisher · View at Google Scholar
  • Saravanan Sundaresan, Robin Doss, Wanlei Zhou, and Selwyn Piramuthu, “Secure Ownership Transfer for Multi-Tag Multi-Owner Passive RFID Environment with Individual-Owner-Privacy,” Computer Communications, 2014. View at Publisher · View at Google Scholar
  • Yongquan Fu, Yijie Wang, and Wei Peng, “CommonFinder: a Decentralized and Privacy-preserving Common-Friend Measurement Method for the Distributed Online Social Networks,” Computer Networks, 2014. View at Publisher · View at Google Scholar
  • Nelson Capela, and Susana Sargento, “Multihoming and network coding: A new approach to optimize the network performance,” Computer Networks, 2014. View at Publisher · View at Google Scholar
  • Sushama Karumanchi, Dan Lin, and Nicole DeSisto, “Identifying hidden social circles for advanced privacy configuration,” Computers & Security, vol. 41, pp. 40–51, 2014. View at Publisher · View at Google Scholar
  • Yongli Ren, Gang Li, and Wanlei Zhou, “A survey of recommendation techniques based on offline data processing,” Concurrency and Computation: Practice and Experience, 2014. View at Publisher · View at Google Scholar
  • Marcel Bouchard, Jennifer Haegele, and Henry Hexmoor, “Crowd dynamics of behavioural intention: train station and museum case studies,” Connection Science, pp. 1–24, 2014. View at Publisher · View at Google Scholar
  • David Geiger, and Martin Schader, “Personalized Task Recommendation in Crowdsourcing Information Systems – Current State of the Art,” Decision Support Systems, 2014. View at Publisher · View at Google Scholar
  • Josef Bauer, and Alexandros Nanopoulos, “Recommender Systems based on Quantitative Implicit Customer Feedback,” Decision Support Systems, 2014. View at Publisher · View at Google Scholar
  • Ahmed Hosny, and Vijay K. Sood, “Transformer differential protection with phase angle difference based inrush restraint,” Electric Power Systems Research, 2014. View at Publisher · View at Google Scholar
  • Guibing Guo, Jie Zhang, Daniel Thalmann, and Neil Yorke-Smith, “Leveraging prior ratings for recommender systems in e-commerce,” Electronic Commerce Research And Applications, vol. 13, no. 6, pp. 440–455, 2014. View at Publisher · View at Google Scholar
  • Imran Ghani, and Seung Ryul Jeong, “A ROle-Oriented Filtering (ROOF) approach for collaborative recommendation,” Enterprise Information Systems, pp. 1–32, 2014. View at Publisher · View at Google Scholar
  • Javier Parra-Arnau, David Rebollo-Monedero, and Jordi Forne, “Optimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems,” Entropy, vol. 16, no. 3, pp. 1586–1631, 2014. View at Publisher · View at Google Scholar
  • T. Frantti, and M. Majanen, “An expert system for real-time traffic management in wireless local area networks,” Expert Systems with Applications, vol. 41, no. 10, pp. 4996–5008, 2014. View at Publisher · View at Google Scholar
  • Shuiguang Deng, Longtao Huang, and Guandong Xu, “Social Network-based Service Recommendation with Trust Enhancement,” Expert Systems with Applications, 2014. View at Publisher · View at Google Scholar
  • Sarik Ghazarian, and Mohammadali Nematbakhsh, “Enhancing Memory-based Collaborative Filtering for Group Recommender Systems,” Expert Systems with Applications, 2014. View at Publisher · View at Google Scholar
  • M. He, C. Ren, and H. Zhang, “Intent-based recommendation for B2C e-commerce platforms,” Ibm Journal Of Research And Development, vol. 58, no. 5-6, 2014. View at Publisher · View at Google Scholar
  • Babak Taati, Jasper Snoek, Dionne Aleman, and Ardeshir Ghavamzadeh, “Data Mining in Bone Marrow Transplant Records to Identify Patients With High Odds of Survival,” Ieee Journal of Biomedical and Health Informatics, vol. 18, no. 1, pp. 21–27, 2014. View at Publisher · View at Google Scholar
  • Lalit Garg, Justin Dauwels, Arul Earnest, and Khai Pang Leong, “Tensor-Based Methods for Handling Missing Data in Quality-of-Life Questionnaires,” Ieee Journal of Biomedical and Health Informatics, vol. 18, no. 5, pp. 1571–1580, 2014. View at Publisher · View at Google Scholar
  • Amin Alizadeh Naeini, Saeid Homayouni, and Mohammad Saadatseresht, “Improving the Dynamic Clustering of Hyperspectral Data Based on the Integration of Swarm Optimization and Decision Analysis,” Ieee Journal of Selected Topics in Applied Earth Observations and Remote Se, vol. 7, no. 6, pp. 2161–2173, 2014. View at Publisher · View at Google Scholar
  • Hong Yu, and Mark O. Riedl, “Personalized Interactive Narratives via Sequential Recommendation of Plot Points,” Ieee Transactions on Computational Intelligence and Ai in Games, vol. 6, no. 2, pp. 174–187, 2014. View at Publisher · View at Google Scholar
  • Mikael Collan, and Pasi Luukka, “Evaluating R&D Projects as Investments by Using an Overall Ranking From Four New Fuzzy Similarity Measure-Based TOPSIS Variants,” Ieee Transactions on Fuzzy Systems, vol. 22, no. 3, pp. 505–515, 2014. View at Publisher · View at Google Scholar
  • Nana Yaw Asabere, Feng Xia, Wei Wang, Joel J. P. C. Rodrigues, Filippo Basso, and Jianhua Ma, “Improving Smart Conference Participation Through Socially Aware Recommendation,” Ieee Transactions on Human-Machine Systems, vol. 44, no. 5, pp. 689–700, 2014. View at Publisher · View at Google Scholar
  • Robin Doss, Selwyn Piramuthu, and Wanlei Zhou, “A Robust Grouping Proof Protocol for RFID EPC C1G2 Tags,” Ieee Transactions on Information Forensics and Security, vol. 9, no. 6, pp. 961–975, 2014. View at Publisher · View at Google Scholar
  • Marin Silic, Goran Delac, Ivo Krka, and Sinisa Srbljic, “Scalable and Accurate Prediction of Availability of Atomic Web Services,” Ieee Transactions on Services Computing, vol. 7, no. 2, pp. 252–264, 2014. View at Publisher · View at Google Scholar
  • Arunee Ratikan, and Mikifumi Shikida, “Culture Based Preference for the Information Feeding Mechanism in Online Social Networks,” Ieice Transactions on Information and Systems, vol. E97D, no. 4, pp. 705–713, 2014. View at Publisher · View at Google Scholar
  • Jun-ze Wang, Zheng Yan, Laurence T. Yang, and Ben-xiong Huang, “An Approach to Rank Reviews by Fusing and Mining Opinions based on Review Pertinence,” Information Fusion, 2014. View at Publisher · View at Google Scholar
  • Jianshan Sun, Gang Wang, Xusen Cheng, and Yelin Fu, “Mining affective text to improve social media item recommendation,” Information Processing & Management, 2014. View at Publisher · View at Google Scholar
  • Xianke Zhou, Sai Wu, Chun Chen, Gang Chen, and Shanshan Ying, “Real-time recommendation for microblogs,” Information Sciences, vol. 279, pp. 301–325, 2014. View at Publisher · View at Google Scholar
  • Stephen L. France, and William H. Batchelder, “Unsupervised consensus analysis for on-line review and questionnaire data,” Information Sciences, 2014. View at Publisher · View at Google Scholar
  • Tengfei Zou, Yan Wang, Xuyang Wei, Zhongliang Li, and Guocai Yang, “An Effective Collaborative Filtering Via Enhanced Similarity And Probability Interval Prediction,” Intelligent Automation and Soft Computing, vol. 20, no. 4, pp. 555–566, 2014. View at Publisher · View at Google Scholar
  • Felipe Baesler, and Cristian Palma, “Multiobjective parallel machine scheduling in the sawmill industry using memetic algorithms,” International Journal of Advanced Manufacturing Technology, vol. 74, no. 5-8, pp. 757–768, 2014. View at Publisher · View at Google Scholar
  • Mahmood Narimani, Seyed Hossein Hosseinian, and Behrooz Vahidi, “A modified methodology in electricity tracing problems based on Bialek’s method,” International Journal of Electrical Power & Energy Systems, vol. 60, pp. 74–81, 2014. View at Publisher · View at Google Scholar
  • Fernando Ortega, Jesus Bobadilla, Antonio Hernando, and Fernando Rodriguez, “Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations,” International Journal of Intelligent Systems, vol. 29, no. 5, pp. 462–477, 2014. View at Publisher · View at Google Scholar
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  • Efi Papatheocharous, Marios Belk, Panagiotis Germanakos, and George Samaras, “Towards Implicit User Modeling Based on Artificial Intelligence, Cognitive Styles and Web Interaction Data,” International Journal on Artificial Intelligence Tools, vol. 23, no. 2, 2014. View at Publisher · View at Google Scholar
  • Hongli Lin, Xuedong Yang, Weisheng Wang, and Jiawei Luo, “A Performance Weighted Collaborative Filtering Algorithm for Personalized Radiology Education,” Journal of Biomedical Informatics, 2014. View at Publisher · View at Google Scholar
  • Luca Mesin, and Paolo Costa, “Prognostic value of EEG indexes for the Glasgow outcome scale of comatose patients in the acute phase,” Journal of Clinical Monitoring and Computing, vol. 28, no. 4, pp. 377–385, 2014. View at Publisher · View at Google Scholar
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