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ORCIDACM Transactions on Intelligent Systems and Technology, Volume 7
Volume 7, Number 1, October 2015
- Wenkui Ding, Xiubo Geng, Xudong Zhang:
Learning to Rank from Noisy Data. 1:1-1:21 - Fan Liu, Jinhui Tang
, Yan Song, Liyan Zhang, Zhenmin Tang:
Local Structure-Based Sparse Representation for Face Recognition. 2:1-2:20 - William Groves, Maria L. Gini:
On Optimizing Airline Ticket Purchase Timing. 3:1-3:28 - Yongsheng Dong, Dacheng Tao, Xuelong Li:
Nonnegative Multiresolution Representation-Based Texture Image Classification. 4:1-4:21 - Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli:
Multi-Keyword Multi-Click Advertisement Option Contracts for Sponsored Search. 5:1-5:29 - Frederic Font, Joan Serrà, Xavier Serra:
Analysis of the Impact of a Tag Recommendation System in a Real-World Folksonomy. 6:1-6:27 - Fan-Chieh Cheng, Bo-Hao Chen, Shih-Chia Huang:
A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection. 7:1-7:14 - Cristina Ioana Muntean, Franco Maria Nardini, Fabrizio Silvestri, Ranieri Baraglia:
On Learning Prediction Models for Tourists Paths. 8:1-8:34 - Yinting Wang, Mingli Song, Dacheng Tao, Yong Rui, Jiajun Bu, Ah Chung Tsoi, Shaojie Zhuo, Ping Tan:
Where2Stand: A Human Position Recommendation System for Souvenir Photography. 9:1-9:22 - Daniel Hennes, Steven de Jong, Karl Tuyls, Ya'akov (Kobi) Gal:
Metastrategies in Large-Scale Bargaining Settings. 10:1-10:23 - Jia-Dong Zhang, Chi-Yin Chow:
Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach. 11:1-11:25 - Tao Guan, Yuesong Wang, Liya Duan, Rongrong Ji:
On-Device Mobile Landmark Recognition Using Binarized Descriptor with Multifeature Fusion. 12:1-12:29
Volume 7, Number 2, January 2016
- Kun Zhang, Zhikun Wang, Jiji Zhang, Bernhard Schölkopf:
On Estimation of Functional Causal Models: General Results and Application to the Post-Nonlinear Causal Model. 13:1-13:22 - Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bing-Yu Sun, Saisai Ma:
From Observational Studies to Causal Rule Mining. 14:1-14:27 - Luis A. Leiva, Daniel Martín-Albo, Réjean Plamondon:
Gestures à Go Go: Authoring Synthetic Human-Like Stroke Gestures Using the Kinematic Theory of Rapid Movements. 15:1-15:29 - Einat Minkov:
Event Extraction using Structured Learning and Rich Domain Knowledge: Application across Domains and Data Sources. 16:1-16:34
- Kun Zhang, Jiuyong Li, Elias Bareinboim, Bernhard Schölkopf, Judea Pearl:
Preface to the ACM TIST Special Issue on Causal Discovery and Inference. 17:1-17:3 - Na Shan, Xiaogang Dong, Ping-Feng Xu, Jianhua Guo:
Sharp Bounds on Survivor Average Causal Effects When the Outcome Is Binary and Truncated by Death. 18:1-18:11 - Hua Chen, Peng Ding, Zhi Geng, Xiao-Hua Zhou:
Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes. 19:1-19:15 - Peng Luo, Zhi Geng:
Bounds on Direct and Indirect Effects of Treatment on a Continuous Endpoint. 20:1-20:18 - Furui Liu, Laiwan Chan:
Causal Discovery on Discrete Data with Extensions to Mixture Model. 21:1-21:19 - Seth R. Flaxman, Daniel B. Neill, Alexander J. Smola:
Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference. 22:1-22:23 - Amy Sue Fire, Song-Chun Zhu:
Learning Perceptual Causality from Video. 23:1-23:22 - Marina Demeshko, Takashi Washio, Yoshinobu Kawahara, Yuriy Pepyolyshev:
A Novel Continuous and Structural VAR Modeling Approach and Its Application to Reactor Noise Analysis. 24:1-24:22 - Hadrien Hours, Ernst W. Biersack, Patrick Loiseau:
A Causal Approach to the Study of TCP Performance. 25:1-25:25
Volume 7, Number 3, April 2016
- Fabiano Muniz Belém, Carolina S. Batista, Rodrygo L. T. Santos, Jussara M. Almeida, Marcos André Gonçalves:
Beyond Relevance: Explicitly Promoting Novelty and Diversity in Tag Recommendation. 26:1-26:34 - Jiaul H. Paik:
Parameterized Decay Model for Information Retrieval. 27:1-27:21 - Zhifeng Li, Dihong Gong, Qiang Li, Dacheng Tao, Xuelong Li:
Mutual Component Analysis for Heterogeneous Face Recognition. 28:1-28:23 - Jintao Ye, Zhaoyan Ming, Tat-Seng Chua:
Generating Incremental Length Summary Based on Hierarchical Topic Coverage Maximization. 29:1-29:33 - Dingqi Yang, Daqing Zhang, Bingqing Qu:
Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks. 30:1-30:23 - Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng:
Location Prediction: A Temporal-Spatial Bayesian Model. 31:1-31:25 - Xiaoyan Li, Tongliang Liu, Jiankang Deng, Dacheng Tao:
Video Face Editing Using Temporal-Spatial-Smooth Warping. 32:1-32:28 - Zechao Li, Jinhui Tang, Xueming Wang, Jing Liu, Hanqing Lu:
Multimedia News Summarization in Search. 33:1-33:20 - Michael Hardegger, Daniel Roggen, Alberto Calatroni, Gerhard Tröster:
S-SMART: A Unified Bayesian Framework for Simultaneous Semantic Mapping, Activity Recognition, and Tracking. 34:1-34:28 - Tie Luo, Sajal K. Das, Hwee Pink Tan, Lirong Xia:
Incentive Mechanism Design for Crowdsourcing: An All-Pay Auction Approach. 35:1-35:26
- Azhar Mohd Ibrahim, Ibrahim Venkat, K. G. Subramanian, Ahamad Tajudin Khader, Philippe De Wilde:
Intelligent Evacuation Management Systems: A Review. 36:1-36:27 - Changxing Ding, Dacheng Tao:
A Comprehensive Survey on Pose-Invariant Face Recognition. 37:1-37:42
- Paolo Cremonesi, Alan Said, Domonkos Tikk, Michelle X. Zhou:
Introduction to the Special Issue on Recommender System Benchmarking. 38:1-38:4 - Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie:
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. 39:1-39:30 - Stephan Doerfel, Robert Jäschke, Gerd Stumme:
The Role of Cores in Recommender Benchmarking for Social Bookmarking Systems. 40:1-40:33 - Simon Dooms, Alejandro Bellogín, Toon De Pessemier, Luc Martens:
A Framework for Dataset Benchmarking and Its Application to a New Movie Rating Dataset. 41:1-41:28 - Jennifer Moody, David H. Glass:
A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations. 42:1-42:21 - David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira:
Anytime Algorithms for Recommendation Service Providers. 43:1-43:26
Volume 7, Number 4, July 2016
- Kuan-Ta Chen, Omar Alonso, Martha A. Larson, Irwin King:
Introduction to the Special Issue on Crowd in Intelligent Systems. 44:1-44:2 - Advaith Siddharthan, Christopher Lambin, Anne-Marie Robinson, Nirwan Sharma, Richard Comont, Elaine O'Mahony, Chris Mellish, René van der Wal:
Crowdsourcing Without a Crowd: Reliable Online Species Identification Using Bayesian Models to Minimize Crowd Size. 45:1-45:20 - Theodoros Semertzidis, Jasminko Novak, Michalis Lazaridis, Mark S. Melenhorst, Isabel Micheel, Dimitrios Michalopoulos, Martin Böckle, Michael G. Strintzis, Petros Daras:
A Crowd-Powered System for Fashion Similarity Search. 46:1-46:24 - Michael Borish, Benjamin Lok:
Rapid Low-Cost Virtual Human Bootstrapping via the Crowd. 47:1-47:20 - Goran Radanovic, Boi Faltings, Radu Jurca:
Incentives for Effort in Crowdsourcing Using the Peer Truth Serum. 48:1-48:28 - Patrick M. De Boer, Abraham Bernstein:
PPLib: Toward the Automated Generation of Crowd Computing Programs Using Process Recombination and Auto-Experimentation. 49:1-49:20 - Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan:
Using the Crowd to Improve Search Result Ranking and the Search Experience. 50:1-50:24 - Christina Katsimerou, Joris Albeda, Alina Huldtgren, Ingrid Heynderickx, Judith A. Redi:
Crowdsourcing Empathetic Intelligence: The Case of the Annotation of EMMA Database for Emotion and Mood Recognition. 51:1-51:27 - Chen Chen, Pawel W. Wozniak, Andrzej Romanowski, Mohammad Obaid, Tomasz Jaworski, Jacek Kucharski, Krzysztof Grudzien, Shengdong Zhao, Morten Fjeld:
Using Crowdsourcing for Scientific Analysis of Industrial Tomographic Images. 52:1-52:25 - Linlin You, Gianmario Motta, Kaixu Liu, Tianyi Ma:
CITY FEED: A Pilot System of Citizen-Sourcing for City Issue Management. 53:1-53:25 - Huaming Rao, Shih-Wen Huang, Wai-Tat Fu:
Leveraging Human Computations to Improve Schematization of Spatial Relations from Imagery. 54:1-54:21 - Yashar Moshfeghi, Alvaro Francisco Huertas-Rosero, Joemon M. Jose:
A Game-Theory Approach for Effective Crowdsource-Based Relevance Assessment. 55:1-55:25 - Shuguang Han, Peng Dai, Praveen K. Paritosh, David Huynh:
Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control. 56:1-56:25
- Yunchao Wei, Yao Zhao, Zhenfeng Zhu, Shikui Wei, Yanhui Xiao, Jiashi Feng, Shuicheng Yan:
Modality-Dependent Cross-Media Retrieval. 57:1-57:13
- Robert A. Morris, Matthew Johnson, Kristen Brent Venable, James Lindsey:
Designing Noise-Minimal Rotorcraft Approach Trajectories. 58:1-58:25 - Quan Fang, Changsheng Xu, M. Shamim Hossain, Ghulam Muhammad:
STCAPLRS: A Spatial-Temporal Context-Aware Personalized Location Recommendation System. 59:1-59:30 - Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Lingjing Hu, Wen Gao:
Efficient Generalized Fused Lasso and Its Applications. 60:1-60:22 - Sarah Schulz, Guy De Pauw, Orphée De Clercq, Bart Desmet, Véronique Hoste, Walter Daelemans, Lieve Macken:
Multimodular Text Normalization of Dutch User-Generated Content. 61:1-61:22 - István Hegedüs, Árpád Berta, Levente Kocsis, András A. Benczúr, Márk Jelasity:
Robust Decentralized Low-Rank Matrix Decomposition. 62:1-62:24 - Chen Luo, Jia Zeng, Mingxuan Yuan, Wenyuan Dai, Qiang Yang:
Telco User Activity Level Prediction with Massive Mobile Broadband Data. 63:1-63:30 - Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He:
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement. 64:1-64:28 - Teng Li, Bin Cheng, Bingbing Ni, Guangchan Liu, Shuicheng Yan:
Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation. 65:1-65:18
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