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Dystemo

Valentina Sintsova, Pearl Pu
2016 ACM Transactions on Intelligent Systems and Technology  
The success of this method depends mainly on a novel classifier-Balanced Weighted Voting (BWV)-designed to overcome the imbalance in emotion distribution in the initial dataset, and on novel heuristics  ...  Most successful approaches rely heavily on costly manual annotation.  ...  Additionally, we thank all the participants who annotated the tweets for their time and effort.  ... 
doi:10.1145/2912147 fatcat:pejvdir3pjee7d63d6dxinoq7u

DClusterE

Yi Zhang, Tao Li
2012 ACM Transactions on Intelligent Systems and Technology  
However, relatively few research efforts have been reported on evaluating and understanding document clustering results.  ...  Over the last decade, document clustering, as one of the key tasks in information organization and navigation, has been widely studied.  ...  Statistical Significance Matrix Using Overall Rating 24:22 WEKA CLUSION GAP VISTA Numerical Evaluation DClusterE > ACM Transactions on Intelligent Systems and Technology, Vol. 3, No. 2,  ... 
doi:10.1145/2089094.2089100 fatcat:w2xnu56nszf3bkzaqpvepduqjq

SNAP

Jure Leskovec, Rok Sosič
2016 ACM Transactions on Intelligent Systems and Technology  
The network datasets can be obtained at While SNAP was designed to work on a single large-memory machine, an alternative approach would be to use a distributed system to perform network analysis.  ...  SNAP offers methods that can efficiently manipulate large graphs, calculate structural properties, generate regular and random graphs, and handle attributes on nodes and edges.  ...  Top 5 contributors to the repository, excluding the authors, are Nicholas Shelly, Sheila Ramaswamy, Jaewon Yang, Jason Jong, and Nikhil Khadke.  ... 
doi:10.1145/2898361 pmid:28344853 pmcid:PMC5361061 fatcat:epuoyunv6jajhkz7zskzj3a2dq

CUDIA

Yubin Park, Joydeep Ghosh
2013 ACM Transactions on Intelligent Systems and Technology  
The imputation is based on the underlying data distribution and shown to be unbiased.  ...  Experimental results using a simulated dataset and the Behavioral Risk Factor Surveillance System (BRFSS) dataset are provided to illustrate the generality and capabilities of the proposed framework.  ...  ACKNOWLEDGMENTS We would like to thank Anurekha Ramakrishnan for pre-processing and cleaning the BRFSS dataset.  ... 
doi:10.1145/2508037.2508047 fatcat:kkgxtmuguzdg5fbw64czi5elcq

FolderPredictor

Xinlong Bao, Thomas G. Dietterich
2011 ACM Transactions on Intelligent Systems and Technology  
Helping computer users rapidly locate files in their folder hierarchies is a practical research problem involving both intelligent systems and user interface design.  ...  This paper reports on FolderPredictor, a software system that can reduce the cost of locating files in hierarchical folders.  ...  ACKNOWLEDGMENTS The authors thank the participants of our two user studies for their willingness to use the TaskTracer and Smart Desktop software for extended periods of time.  ... 
doi:10.1145/1889681.1889689 fatcat:fn534s3l6ngldgbgbrqhewiblm

On Unexpectedness in Recommender Systems

Panagiotis Adamopoulos, Alexander Tuzhilin
2014 ACM Transactions on Intelligent Systems and Technology  
ACM Reference Format: Panagiotis Adamopoulos and Alexander Tuzhilin. 2014. On unexpectedness in recommender systems: Or how to better expect the unexpected.  ...  Finally, we conduct several experiments on "real-world" datasets and compare our recommendation results with other methods.  ...  ACM Transactions on Intelligent Systems and Technology, Vol. 5, No. 4, Article 54, Publication date: December 2014.  ... 
doi:10.1145/2559952 fatcat:elbnlvmogff53ej3zudjkqr7qu

PPLib

Patrick M. De Boer, Abraham Bernstein
2016 ACM Transactions on Intelligent Systems and Technology  
We evaluated our work by generating and running a plethora of process candidates in two scenarios on Amazon's Mechanical Turk followed by a meta-evaluation, where we looked at the differences between the  ...  We evaluated our work by generating and running a plethora of process-candidates in two scenarios on Amazon's Mechanical Turk followed by a meta-evaluation, where we looked at the differences between the  ...  We are also thankful for the support received from Dan Lowenthal, Tobias Grubenmann, Michael Feldman and the anonymous reviewers of this paper, whose input was central for improving the paper.  ... 
doi:10.1145/2897367 fatcat:qynsz43zijfvboyubxozhl5vda

i2tag

Xiaoyi Fan, Wei Gong, Jiangchuan Liu
2017 ACM Transactions on Intelligent Systems and Technology  
In this article, we present i 2 tag, an intelligent mobility-aware activity identification system for RFID tags in multipath-rich environments (e.g., indoors). i 2 tag employs a supervised learning framework  ...  Unlike previous methods that mostly rely on phase measurement, i 2 tag takes into account various measurements, including RSSI variance, packet loss rate, and our novel relative phase-based fingerprint  ...  ACKNOWLEDGMENTS We would like to thank the anonymous reviewers for valuable and insightful comments. REFERENCES  ... 
doi:10.1145/3035968 fatcat:kzmxwwmit5fgxd2zpirl2drvyi

Mondrian tree

Myungcheol Doo, Ling Liu
2013 ACM Transactions on Intelligent Systems and Technology  
With ubiquitous wireless connectivity and technological advances in mobile devices, we witness the growing demands and increasing market shares of mobile intelligent systems and technologies for real-time  ...  Spatial Alarms are considered as one of the fundamental capabilities for intelligent mobile location based systems.  ...  ACM Transactions on Intelligent Systems and Technology, Vol. 1, No. 1, Article 1, Publication date: January 2012.  ... 
doi:10.1145/2542182.2542186 fatcat:ax24zzov6rc6tb4wt6rpargrxq

LIBSVM

Chih-Chung Chang, Chih-Jen Lin
2011 ACM Transactions on Intelligent Systems and Technology  
LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM.  ...  Issues such as solving SVM optimization problems, theoretical convergence, multi-class classification, probability estimates, and parameter selection are discussed in detail.  ...  Acknowledgments This work was supported in part by the National Science Council of Taiwan via the grants NSC 89-2213-E-002-013 and NSC 89-2213-E-002-106.  ... 
doi:10.1145/1961189.1961199 fatcat:vwus35v7vbhatbrli3wuems5h4

Trajectory Data Mining

Yu Zheng
2015 ACM Transactions on Intelligent Systems and Technology  
In this article, we conduct a systematic survey on the major research into trajectory data mining, providing a panorama of the field as well as the scope of its research topics.  ...  detection, and trajectory classification), the survey explores the connections, correlations and differences among these existing techniques.  ...  ACKNOWLEDGMENT A small portion of the content of this article is derived from a few chapters of a book, entitled Computing with Spatial Trajectories [157] , which was co-edited by Xiaofang Zhou and me  ... 
doi:10.1145/2743025 fatcat:7ri6qeggxjcqxbkztocknlvoqi

DUCT

Brammert Ottens, Christos Dimitrakakis, Boi Faltings
2017 ACM Transactions on Intelligent Systems and Technology  
Bounds on the solution quality are provided, and experiments show that, compared to existing DCOP approaches, DUCT is able to solve very large problems much more efficiently, or to find significantly higher  ...  of Artificial Intelligence (www.aaai.org).  ...  As f i and f j might depend on a common variable, a partial order on the variables could make the optimization more efficient.  ... 
doi:10.1145/3066156 fatcat:g2jxifcpnrhullxv25m4k5xplm

Intelligent Systems and Technology for Integrative and Predictive Medicine: An ACP Approach

Fei-Yue Wang, Pak Kin Wong
2013 ACM Transactions on Intelligent Systems and Technology  
Here we argue for a new approach, called ACP-based approach that combines artificial (societies), computational (experiments) and parallel (execution)methods in intelligent systems and technology for integrative  ...  One of the principal goals in medicine is to determine and implement the best treatment for patients through fastidious estimation of the effects and benefits of therapeutic procedures.  ...  Wang and P. K. Wong ACM Transactions on Intelligent Systems and Technology, Vol. 4, No. 2, Article 32, Publication date: March 2013.  ... 
pmid:24883228 pmcid:PMC4039638 fatcat:e7kwye4zz5gzxks5x4nuda6ypi

CORN

Bin Li, Steven C.H. Hoi, Vivekanand Gopalkrishnan
2011 ACM Transactions on Intelligent Systems and Technology  
However, our empirical ACM  ...  intelligent learning algorithms.  ...  Transactions on Intelligent Systems and Technology, Vol. 1, No. 1, 10 2010.  ... 
doi:10.1145/1961189.1961193 fatcat:gmmqnkmqmnamznychzjuvqx7ku

Prediction in financial markets

Vasant Dhar
2011 ACM Transactions on Intelligent Systems and Technology  
Single models, especially linear ones, are easy to interpret and explain.  ...  realize on out-of-sample data.  ...  ACM Transactions on Intelligent Systems and Technology, Vol. 2, No. 3, Article 19, Publication date: April 2011.  ... 
doi:10.1145/1961189.1961191 fatcat:mc7jviuqy5h4zmd2t2tioyumsa
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