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Citations to this Journal [122 citations: 1–100 of 122 articles]

Articles published in Advances in Artificial Intelligence have been cited 122 times. The following is a list of the 122 articles that have cited the articles published in Advances in Artificial Intelligence.

  • 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
  • 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
  • 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
  • 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
  • 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
  • Jasper Snoek, Dionne Aleman, and Ardeshir Ghavamzadeh, “Data Mining in Bone Marrow Transplant Records to Identify Patients With Hig h 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
  • 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
  • Jesus Bobadilla, Antonio Hernando, and Fernando Rodriguez, “Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommenda tions,” International Journal of Intelligent Systems, vol. 29, no. 5, pp. 462–477, 2014. View at Publisher · View at Google Scholar
  • Shui-Guang Deng, Long-Tao Huang, and Zhao-Hui Wu, “Trust-Based Personalized Service Recommendation: A Network Perspective,” Journal of Computer Science and Technology, vol. 29, no. 1, pp. 69–80, 2014. View at Publisher · View at Google Scholar
  • Fuzhi Zhang, and Shuangxia Sun, “A Robust Collaborative Recommendation Algorithm Based on Least Median Squares Estimator,” Journal of Computers, vol. 9, no. 2, 2014. View at Publisher · View at Google Scholar
  • Minor P. Hertwin, Olivares-Benítez Elías, Tapia-Olvera Ruben, and Martínez Flores J. Luis, “Variations in the Flow Approach to CFCLP-TC for Multiobjective Supply Chain Design,” Mathematical Problems in Engineering, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Jing Wang, and Liangwen Ke, “Feature subspace transfer for collaborative filtering,” Neurocomputing, 2014. View at Publisher · View at Google Scholar
  • Chu-Xu Zhang, Lu Yu, Chuang Liu, Hao Liu, and Xiao-Yong Yan, “Information filtering via collaborative user clustering modeling,” Physica A-Statistical Mechanics and Its Applications, vol. 396, pp. 195–203, 2014. View at Publisher · View at Google Scholar
  • Lu Yu, Kuan Fang, Zhi-Qiang You, Chuang Liu, Hao Liu, and Xiao-Yong Yan, “Website-oriented recommendation based on heat spreading and tag-aware colla borative filtering,” Physica A-Statistical Mechanics and Its Applications, vol. 399, pp. 82–88, 2014. View at Publisher · View at Google Scholar
  • M. J. Mahmoodabadi, M. Taherkhorsandi, and A. Bagheri, “Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Seok-Ho Yoon, Ji-Soo Kim, Jiwoon Ha, Sang-Wook Kim, Minsoo Ryu, and Ho-Jin Choi, “Link-Based Similarity Measures Using Reachability Vectors,” The Scientific World Journal, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Massimiliano Albanese, Vincenzo Moscato, Fabio Persia, and Antonio Picariello, “A Multimedia Recommender System,” Acm Transactions on Internet Technology, vol. 13, no. 1, 2013. View at Publisher · View at Google Scholar
  • E. Chatzimichail, E. Paraskakis, and A. Rigas, “Predicting Asthma Outcome Using Partial Least Square Regression and Artificial Neural Networks,” Advances in Artificial Intelligence, vol. 2013, pp. 1–7, 2013. View at Publisher · View at Google Scholar
  • Faisal Kaleem, Abolfazl Mehbodniya, Kang K. Yen, and Fumiyuki Adachi, “A Fuzzy Preprocessing Module for Optimizing the Access Network Selection in Wireless Networks,” Advances in Fuzzy Systems, vol. 2013, pp. 1–9, 2013. View at Publisher · View at Google Scholar
  • Ariel Gómez, Carlos León, Jorge Ropero, Alejandro Carrasco, and Joaquín Luque, “Sabio: Soft Agent For Extended Information Retrieval,” Applied Artificial Intelligence, vol. 27, no. 4, pp. 249–277, 2013. View at Publisher · View at Google Scholar
  • Misato Tanaka, Yasunari Sasaki, Mitsunori Miki, and Tomoyuki Hiroyasu, “Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences,” Applied Computational Intelligence and Soft Computing, vol. 2013, pp. 1–16, 2013. View at Publisher · View at Google Scholar
  • Mohammad Kazemifard, Nasser Ghasem-Aghaee, Bryan L. Koenig, and Tuncer I. Ören, “An emotion understanding framework for intelligent agents based on episodic and semantic memories,” Autonomous Agents and Multi-Agent Systems, 2013. View at Publisher · View at Google Scholar
  • L. Mesin, A. Monaco, and R. Cattaneo, “Investigation of Nonlinear Pupil Dynamics by Recurrence Quantification Analysis,” BioMed Research International, vol. 2013, pp. 1–11, 2013. View at Publisher · View at Google Scholar
  • Peter Nemecek, Jan Mocak, Jozef Lehotay, and Karel Waisser, “Prediction of anti-tuberculosis activity of 3-phenyl-2H-1,3-benzoxazine-2,4 (3H)-dione derivatives,” Chemical Papers, vol. 67, no. 3, pp. 305–312, 2013. View at Publisher · View at Google Scholar
  • Xiangyu Yang, Jiqiang Guo, Li Lu, and Li Zeng, “The X-Ray Transform Projection of 3D Mother Wavelet Function,” Computational and Mathematical Methods in Medicine, vol. 2013, pp. 1–9, 2013. View at Publisher · View at Google Scholar
  • Xiwang Yang, Yong Liu, Yang Guo, and Harald Steck, “A survey of collaborative filtering based social recommender systems,” Computer Communications, 2013. View at Publisher · View at Google Scholar
  • Alexandra Balahur, and Marco Turchi, “Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis,” Computer Speech & Language, 2013. View at Publisher · View at Google Scholar
  • Rafael Pereira, Hélio Lopes, Karin Breitman, Vicente Mundim, and Wandenberg Peixoto, “Cloud based real-time collaborative filtering for item–item recommendations,” Computers in Industry, 2013. View at Publisher · View at Google Scholar
  • Antoine Boutet, Davide Frey, Arnaud Jégou, Anne-Marie Kermarrec, and Heverson B. Ribeiro, “FreeRec: an anonymous and distributed personalization architecture,” Computing, 2013. View at Publisher · View at Google Scholar
  • Xin Liu, Anwitaman Datta, and Krzysztof Rzadca, “Trust beyond reputation: A computational trust model based on stereotypes,” Electronic Commerce Research and Applications, vol. 12, no. 1, pp. 24–39, 2013. View at Publisher · View at Google Scholar
  • Isaac Record, “Justified Belief In A Digital Age: On The Epistemic Implications Of Secret Internet Technologies,” Episteme-A Journal of Individual and Social Epistemology, vol. 10, no. 2, pp. 117–134, 2013. View at Publisher · View at Google Scholar
  • Maciej A. Mazurowski, “Estimating confidence of individual rating predictions in collaborative fil tering recommender systems,” Expert Systems With Applications, vol. 40, no. 10, pp. 3847–3857, 2013. View at Publisher · View at Google Scholar
  • Christos Zigkolis, Savvas Karagiannidis, Ioannis Koumarelas, and Athena Vakali, “Integrating similarity and dissimilarity notions in recommenders,” Expert Systems with Applications, vol. 40, no. 13, pp. 5132–5147, 2013. View at Publisher · View at Google Scholar
  • Dong Zhou, Mark Truran, Jianxun Liu, and Sanrong Zhang, “Collaborative pseudo-relevance feedback,” Expert Systems with Applications, 2013. View at Publisher · View at Google Scholar
  • Surong Yan, Xiaolin Zheng, Yan Wang, and Deren Chen, “Exploiting two-faceted web of trust for enhanced-quality recommendations,” Expert Systems with Applications, 2013. View at Publisher · View at Google Scholar
  • Mustansar Ali Ghazanfar, and Adam Prügel-Bannett, “Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems,” Expert Systems with Applications, 2013. View at Publisher · View at Google Scholar
  • Y. Yuming, and C. M. Tobar, “A Memory-based Collaborative Filtering Algorithm for Recommending Semantic Web Services,” Ieee Latin America Transactions, vol. 11, no. 2, pp. 795–801, 2013. View at Publisher · View at Google Scholar
  • Ye Wu, “Predicting User-Topic Opinions in Twitter with Social and Topical Context,” Ieee Transactions on Affective Computing, vol. 4, no. 4, pp. 412–424, 2013. View at Publisher · View at Google Scholar
  • Zifang Huang, Mei-Ling Shyu, James M. Tien, Michael M. Vigoda, and David J. Birnbach, “Prediction of Uterine Contractions Using Knowledge-Assisted Sequential Patt ern Analysis,” Ieee Transactions on Biomedical Engineering, vol. 60, no. 5, pp. 1290–1297, 2013. View at Publisher · View at Google Scholar
  • Yongli Ren, Jun Zhang, and Wanlei Zhou, “Lazy Collaborative Filtering for Data Sets With Missing Values,” Ieee Transactions on Cybernetics, vol. 43, no. 6, pp. 1822–1834, 2013. View at Publisher · View at Google Scholar
  • Simona Dakova, Hendrik Thues, and Ulrik Schroeder, “Tag-Based Collaborative Filtering Recommendation in Personal Learning Envir onments,” Ieee Transactions on Learning Technologies, vol. 6, no. 4, pp. 337–349, 2013. View at Publisher · View at Google Scholar
  • Chrysovalantou Ziogou, Efstratios N. Pistikopoulos, Michael C. Georgiadis, Spyros Voutetakis, and Simira Papadopoulou, “Empowering the Performance of Advanced NMPC by Multiparametric Programming—An Application to a PEM Fuel Cell System,” Industrial & Engineering Chemistry Research, vol. 52, no. 13, pp. 4863–4873, 2013. View at Publisher · View at Google Scholar
  • Cristian Cechinel, Miguel-Ángel Sicilia, Salvador Sánchez-Alonso, and Elena García-Barriocanal, “Evaluating collaborative filtering recommendations inside large learning object repositories,” Information Processing & Management, vol. 49, no. 1, pp. 34–50, 2013. View at Publisher · View at Google Scholar
  • Ismail Sengor Altingovde, Özlem Nurcan Subakan, and Özgür Ulusoy, “Cluster searching strategies for collaborative recommendation systems,” Information Processing & Management, vol. 49, no. 3, pp. 688–697, 2013. View at Publisher · View at Google Scholar
  • Wei-Hao Hwang, “A genre-based fuzzy inference approach for effective filtering of movies,” Intelligent Data Analysis, vol. 17, no. 6, pp. 1093–1113, 2013. View at Publisher · View at Google Scholar
  • A. J. Litta, Sumam Mary Idicula, and U. C. Mohanty, “Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms,” International Journal of Atmospheric Sciences, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • Cihan Kaleli, Ibrahim Yakut, Ihsan Gunes, and Huseyin Polat, “A Survey Of Privacy-Preserving Collaborative Filtering Schemes,” International Journal of Software Engineering and Knowledge Engineering, vol. 23, no. 8, pp. 1085–1108, 2013. View at Publisher · View at Google Scholar
  • Hongwei Wang, Wei Wang, Yuan Meng, and Yiwei Zhang, “Degree of user attention to a webpage based on Baidu Index: an alternative to page view,” Journal of Experimental & Theoretical Artificial Intelligence, pp. 1–15, 2013. View at Publisher · View at Google Scholar
  • Darcy A. Davis, “Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework,” Journal Of General Internal Medicine, vol. 28, pp. S660–S665, 2013. View at Publisher · View at Google Scholar
  • Jae-won Lee, and Sang-goo Lee, “A probability-based unified framework for semantic search and recommendatio n,” Journal of Information Science, vol. 39, no. 5, pp. 608–628, 2013. View at Publisher · View at Google Scholar
  • Josep Lluis de la Rosa i Esteva, “Survey of social search from the perspectives of the village paradigm and o nline social networks,” Journal of Information Science, vol. 39, no. 5, pp. 688–707, 2013. View at Publisher · View at Google Scholar
  • Hu Guan, Huakang Li, and Cheng-Zhong Xu, “Semi-sparse algorithm based on multi-layer optimization for recommender sys tem,” Journal of Supercomputing, vol. 66, no. 3, pp. 1418–1437, 2013. View at Publisher · View at Google Scholar
  • Efi Papatheocharous, Panagiotis Germanakos, and George Samaras, “Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques,” Journal of Systems and Software, vol. 86, no. 12, pp. 2995–3012, 2013. View at Publisher · View at Google Scholar
  • Vincenzo Moscato, Antonio Picariello, and Antonio M. Rinaldi, “Towards a user based recommendation strategy for digital ecosystems,” Knowledge-Based Systems, vol. 37, pp. 165–175, 2013. View at Publisher · View at Google Scholar
  • J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, “Recommender systems survey,” Knowledge-Based Systems, vol. 46, pp. 109–132, 2013. View at Publisher · View at Google Scholar
  • Ya Zhang, Weiyuan Chen, and Zibin Yin, “Collaborative Filtering with Social Regularization for TV Program Recommendation,” Knowledge-Based Systems, 2013. View at Publisher · View at Google Scholar
  • Cheng-Lung Huang, Po-Han Yeh, Cheng-Wei Lin, and Den-Cing Wu, “Utilizing User Tag-Based Interests in Recommender Systems for Social Resource Sharing Websites,” Knowledge-Based Systems, 2013. View at Publisher · View at Google Scholar
  • Pier Luigi Mazzeo, Massimiliano Nitti, and Paolo Spagnolo, “Accurate ball detection in soccer images using probabilistic analysis of sa lient regions,” Machine Vision and Applications, vol. 24, no. 8, pp. 1561–1574, 2013. View at Publisher · View at Google Scholar
  • Guan Yuan, Shixiong Xia, and Yanmei Zhang, “Interesting Activities Discovery for Moving Objects Based on Collaborative Filtering,” Mathematical Problems in Engineering, vol. 2013, pp. 1–9, 2013. View at Publisher · View at Google Scholar
  • Ina Koch, and Jörg Ackermann, “On Functional Module Detection in Metabolic Networks,” Metabolites, vol. 3, no. 3, pp. 673–700, 2013. View at Publisher · View at Google Scholar
  • Nicoleta A. Dudas, “Determining Chemical Reactivity Driving Biological Activity from SMILES Tra nsformations: The Bonding Mechanism of Anti-HIV Pyrimidines,” Molecules, vol. 18, no. 8, pp. 9061–9116, 2013. View at Publisher · View at Google Scholar
  • Akihiko Konagaya, and Alfons Schuster, “Turing Test Considered Mostly Harmless,” New Generation Computing, vol. 31, no. 4, pp. 241–263, 2013. View at Publisher · View at Google Scholar
  • Kathleen Vincent, Joseph S. Tauskela, Geoffrey A. Mealing, and Jean-Philippe Thivierge, “Altered Network Communication Following a Neuroprotective Drug Treatment,” Plos One, vol. 8, no. 1, 2013. View at Publisher · View at Google Scholar
  • Michiel Stock, Sven Hoefman, Frederiek-Maarten Kerckhof, Nico Boon, Paul De Vos, Bernard De Baets, Kim Heylen, and Willem Waegeman, “Exploration and prediction of interactions between methanotrophs and heterotrophs,” Research in Microbiology, 2013. View at Publisher · View at Google Scholar
  • Xiaolin Zheng, Weifeng Ding, Jingnan Xu, and Deren Chen, “Personalized recommendation based on review topics,” Service Oriented Computing and Applications, 2013. View at Publisher · View at Google Scholar
  • Jiliang Tang, Xia Hu, and Huan Liu, “Social recommendation: a review,” Social Network Analysis and Mining, 2013. View at Publisher · View at Google Scholar
  • Jennifer Nguyen, and Mu Zhu, “Content-boosted matrix factorization techniques for recommender systems,” Statistical Analysis and Data Mining, 2013. View at Publisher · View at Google Scholar
  • Shweta Tyagi, and Kamal K. Bharadwaj, “Enhancing collaborative filtering recommendations by utilizing multi-objective particle swarm optimization embedded association rule mining,” Swarm and Evolutionary Computation, 2013. View at Publisher · View at Google Scholar
  • Ming-Fang Weng, and Yung-Yu Chuang, “Collaborative Video Reindexing via Matrix Factorization,” Acm Transactions On Multimedia Computing Communications And Applications, vol. 8, no. 2, 2012. View at Publisher · View at Google Scholar
  • Jun Gao, Dongsheng Che, Vincent W. Zheng, Ruixin Zhu, and Qi Liu, “Integrated QSAR study for inhibitors of hedgehog signal pathway against mul tiple cell lines: a collaborative filtering method,” Bmc Bioinformatics, vol. 13, 2012. View at Publisher · View at Google Scholar
  • Ibrahim Yakut, and Huseyin Polat, “Arbitrarily distributed data-based recommendations with privacy,” Data & Knowledge Engineering, vol. 72, pp. 239–256, 2012. View at Publisher · View at Google Scholar
  • F. van Harmelen, G. Kampis, K. Boerner, P. van den Besselaar, E. Schultes, C. Goble, P. Groth, B. Mons, S. Anderson, S. Decker, C. Hayes, T. Buecheler, and D. Helbing, “Theoretical and technological building blocks for an innovation accelerator,” European Physical Journal-Special Topics, vol. 214, no. 1, pp. 183–214, 2012. View at Publisher · View at Google Scholar
  • Ohbyung Kwon, and Dongyoung Jung, “An association model based reasoning method for individualized service recommender,” Expert Systems, vol. 30, no. 1, pp. 54–65, 2012. View at Publisher · View at Google Scholar
  • Jason J. Jung, “Attribute selection-based recommendation framework for short-head user grou p: An empirical study by MovieLens and IMDB,” Expert Systems With Applications, vol. 39, no. 4, pp. 4049–4054, 2012. View at Publisher · View at Google Scholar
  • Fikret E. Kapucu, Jarno M. A. Tanskanen, Jarno E. Mikkonen, Laura Yla-Outinen, Susanna Narkilahti, and Jari A. K. Hyttinen, “Burst analysis tool for developing neuronal networks exhibiting highly vary ing action potential dynamics,” Frontiers In Computational Neuroscience, vol. 6, 2012. View at Publisher · View at Google Scholar
  • Jingyu Zhou, Yunlong Zhang, and Jia Cheng, “Preference-based mining of top- influential nodes in social networks,” Future Generation Computer Systems, 2012. View at Publisher · View at Google Scholar
  • Kishor Barman, and Onkar Dabeer, “Analysis of a Collaborative Filter Based on Popularity Amongst Neighbors,” Ieee Transactions On Information Theory, vol. 58, no. 12, pp. 7110–7134, 2012. View at Publisher · View at Google Scholar
  • Francisco P. Romero, Ismael Caballero, Jesus Serrano-Guerrero, and Jose A. Olivas, “An approach to web-based Personal Health Records filtering using fuzzy prototypes and data quality criteria,” Information Processing & Management, vol. 48, no. 3, pp. 451–466, 2012. View at Publisher · View at Google Scholar
  • Cho-Wei Shih, Ming-Yen Chen, Hui-Chuan Chu, and Yuh-Min Chen, “Enhancement of information seeking using an information needs radar model,” Information Processing & Management, vol. 48, no. 3, pp. 524–536, 2012. View at Publisher · View at Google Scholar
  • Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, and Guojun Qi, “Recommending Flickr groups with social topic model,” Information Retrieval, vol. 15, no. 3-4, pp. 278–295, 2012. View at Publisher · View at Google Scholar
  • Stephen L. France, J. Douglas Carroll, and Hui Xiong, “Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization,” Information Sciences, vol. 184, no. 1, pp. 92–110, 2012. View at Publisher · View at Google Scholar
  • Jingyu Wang, Jianxin Liao, Tonghong Li, and Ping Zhang, “Correlation-aware multipath selection to enhance path diversity in ubiquito us computing environment,” International Journal Of Ad Hoc And Ubiquitous Computing, vol. 11, no. 4, pp. 246–257, 2012. View at Publisher · View at Google Scholar
  • Andrew Koster, Marco Schorlemmer, and Jordi Sabater-Mir, “Engineering trust alignment: Theory, method and experimentation,” International Journal Of Human-Computer Studies, vol. 70, no. 6, pp. 450–473, 2012. View at Publisher · View at Google Scholar
  • J. Preethi, and S. Palaniswami, “An Intelligent Particle Swarm Optimization for Fuzzy Based Heterogeneous Radio Access Technology (RAT) Selection,” International Journal of Intelligent Information Technologies, vol. 8, no. 4, pp. 23–42, 2012. View at Publisher · View at Google Scholar
  • Leila Esmaeili, Ramin Nasiri, and Behrouz Minaei-Bidgoli, “Applying Personalized Recommendation for Social Network Marketing,” International Journal of Online Marketing, vol. 2, no. 1, pp. 50–63, 2012. View at Publisher · View at Google Scholar
  • Victor W. Chu, Raymond K. Wong, and Chi-Hung Chi, “Over-Fitting and Error Detection for Online Role Mining,” International Journal of Web Services Research, vol. 9, no. 4, pp. 1–23, 2012. View at Publisher · View at Google Scholar
  • Reza Rafeh, and Arash Bahrehmand, “An adaptive approach to dealing with unstable behaviour of users in collabo rative filtering systems,” Journal of Information Science, vol. 38, no. 3, pp. 205–221, 2012. View at Publisher · View at Google Scholar
  • Ibrahim Yakut, and Huseyin Polat, “Privacy-preserving hybrid collaborative filtering on cross distributed data,” Knowledge And Information Systems, vol. 30, no. 2, pp. 405–433, 2012. View at Publisher · View at Google Scholar
  • Zia Rehman, Farookh K. Hussain, and Omar K. Hussain, “Frequency-based similarity measure for multimedia recommender systems,” Multimedia Systems, vol. 19, no. 2, pp. 95–102, 2012. View at Publisher · View at Google Scholar
  • Yoshitaka Sakurai, Kouhei Takada, Rainer Knauf, and Setsuo Tsuruta, “A retrieval method adaptively reducing user's subjective impression gap,” Multimedia Tools and Applications, vol. 59, no. 1, pp. 25–40, 2012. View at Publisher · View at Google Scholar
  • Jan Nandzik, Berenike Litz, Nicolas Flores-Herr, Aenne Löhden, Iuliu Konya, Doris Baum, André Bergholz, Dirk Schönfuß, Christian Fey, Johannes Osterhoff, Jörg Waitelonis, Harald Sack, Ralf Köhler, and Patrick Ndjiki-Nya, “CONTENTUS—technologies for next generation multimedia libraries,” Multimedia Tools and Applications, vol. 63, no. 2, pp. 287–329, 2012. View at Publisher · View at Google Scholar
  • Marios Angelides, and Anastasis Sofokleous, “A game approach to optimization of bandwidth allocation using MPEG-7 and MPEG-21,” Multimedia Tools and Applications, vol. 62, no. 1, pp. 287–309, 2012. View at Publisher · View at Google Scholar
  • Guenael Cabanes, Younes Bennani, and Dominique Fresneau, “Enriched topological learning for cluster detection and visualization,” Neural Networks, vol. 32, pp. 186–195, 2012. View at Publisher · View at Google Scholar
  • Giulio Cimini, Duanbing Chen, Matus Medo, Linyuan Lu, Yi-Cheng Zhang, and Tao Zhou, “Enhancing topology adaptation in information-sharing social networks,” Physical Review E, vol. 85, no. 4, 2012. View at Publisher · View at Google Scholar
  • Linyuan Lü, Matúš Medo, Chi Ho Yeung, Yi-Cheng Zhang, Zi-Ke Zhang, and Tao Zhou, “Recommender systems,” Physics Reports, vol. 519, no. 1, pp. 1–49, 2012. View at Publisher · View at Google Scholar
  • Roger Guimera, Alejandro Llorente, Esteban Moro, and Marta Sales-Pardo, “Predicting Human Preferences Using the Block Structure of Complex Social Ne tworks,” Plos One, vol. 7, no. 9, 2012. View at Publisher · View at Google Scholar
  • Scott Makeig, Christian Kothe, Tim Mullen, Nima Bigdely-Shamlo, Zhilin Zhang, and Kenneth Kreutz-Delgado, “Evolving Signal Processing for Brain-Computer Interfaces,” Proceedings of The Ieee, vol. 100, pp. 1567–1584, 2012. View at Publisher · View at Google Scholar
  • Georgios Paliouras, “Discovery of Web user communities and their role in personalization,” User Modeling and User-Adapted Interaction, vol. 22, no. 1-2, pp. 151–175, 2012. View at Publisher · View at Google Scholar
  • Hiroshi Mamitsuka, “Mining from protein-protein interactions,” Wiley Interdisciplinary Reviews-Data Mining And Knowledge Discovery, vol. 2, no. 5, pp. 400–410, 2012. View at Publisher · View at Google Scholar
  • D. Ristic-Durrant, S. M. Grigorescu, A. Graser, Z. Cojbasic, and V. Nikolic, “Robust Stereo-Vision based 3D Object Reconstruction for the Assistive Robot FRIEND,” Advances in Electrical and Computer Engineering, vol. 11, no. 4, pp. 15–22, 2011. View at Publisher · View at Google Scholar