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Furu Wei, Shixia Liu, Yangqiu Song, Shimei Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan, Qiang Zhang
2010 Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10  
In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive visualization to help  ...  To help users understand the topic-based summarization results, TIARA employs several interactive text visualization techniques to explain the summarization results and seamlessly link such results to  ...  We would like to thank Xiaoxiao Lian, Xiaohua Sun, and Kevin Brown for their work on the TIARA UI design.  ... 
doi:10.1145/1835804.1835827 dblp:conf/kdd/WeiLSPZQSTZ10 fatcat:ahtbbaqv6ffg7kj46ob7prt3uq

Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour [article]

Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González-Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene (+11 others)
2018 arXiv   pre-print
The workshop was organized in the context of a new research programme at the Centre for Advanced Studies, Joint Research Centre of the European Commission, which focuses on studying the potential impact  ...  The workshop gathered an interdisciplinary group of experts to establish the state of the art research in the field and a list of future research challenges to be addressed on the topic of human and machine  ...  Authors (editor plus authors in alphabetical order) Emilia Gómez ( The investigation of how children interact with machines is a virtually unexplored field.  ... 
arXiv:1806.03192v1 fatcat:jypjtwtgxbg5vbkigudnxtsp64

Human-AI Collaboration for UX Evaluation: Effects of Explanation and Synchronization [article]

Mingming Fan, Xianyou Yang, Tsz Tung Yu, Vera Q. Liao, Jian Zhao
2021 arXiv   pre-print
We iteratively designed a tool, AI Assistant, with four versions of UIs corresponding to the two levels of explanations (with/without) and synchronization (sync/async).  ...  Our quantitative and qualitative results show that AI with explanations, regardless of being presented synchronously or asynchronously, provided better support for UX evaluators' analysis and was perceived  ...  In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 1135–1144. [75] Ali Sarvghad and Melanie Tory. 2015.  ... 
arXiv:2112.12387v1 fatcat:3shii4vkdjh43fiddrgtg3ygbm

Open challenges for data stream mining research

Georg Krempl, Myra Spiliopoulou, Jerzy Stefanowski, Indre Žliobaite, Dariusz Brzeziński, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi
2014 SIGKDD Explorations  
Existing solutions are based on "best practices", i.e., the systems' decisions are knowledge-driven and/or data-driven.  ...  This article presents a discussion on eight open challenges for data stream mining.  ...  on the challenges in stream mining.  ... 
doi:10.1145/2674026.2674028 fatcat:y3bozzeohveibgxb5wmiwfcogm

Modeling relational events via latent classes

Christopher DuBois, Padhraic Smyth
2010 Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '10  
over these entities conditioned on the chosen class.  ...  To analyze the model's predictive accuracy, the algorithms are applied to multiple real-world data sets involving email communication, international political events, and animal behavior data.  ...  The authors would also like to thank Drew Frank for useful discussions, Charles Kemp for providing IRM code, and Jean-Pierre Eckmann for providing the email data.  ... 
doi:10.1145/1835804.1835906 dblp:conf/kdd/DuBoisS10 fatcat:a4j5dhlky5dodfr3mgpyexaqzi

Statistical Debugging: A Hypothesis Testing-Based Approach

Chao Liu, Long Fei, Xifeng Yan, Jiawei Han, S.P. Midkiff
2006 IEEE Transactions on Software Engineering  
Two case studies with grep 2.2 and bc 1.06 are reported, which shed light on the applicability of SOBER on reasonably large programs.  ...  Moreover, the effectiveness of SOBER is also evaluated in an "imperfect world," where the test suite is either inadequate or only partially labeled.  ...  Last but not the least, the authors deeply appreciate the insightful questions, comments, and suggestions from anonymous referees, which proved invaluable during the preparation of this paper.  ... 
doi:10.1109/tse.2006.105 fatcat:hv3mrhiqevbahledcsoy27xgoq

SIENNA D4.2: Analysis of the legal and human rights requirements for AI and robotics in and outside the EU

Rowena Rodrigues, Konrad Siemaszko, Zuzanna Warso
2019 Zenodo  
This report presents the results of SIENNA research on legal developments and approaches to specific legal issues and human rights challenges related to artificial intelligence (AI) and robotics at the  ...  This report will feed into the forthcoming SIENNA work on enhancing the existing legal framework that will identify potential changes needed in dialogue with legislators and relevant committees.  ...  Naturally, none of the human rights instruments the research looked at, specifically address 'AI' or 'robotics' though their framework or principles could well be extended and applied to AI and/or  ... 
doi:10.5281/zenodo.4066812 fatcat:tqcgzwprpjez5o6d32dwbtg5ly

Prediction of ligand-receptor pharmacological activities using a combined docking and machine learning approach [article]

Mireia Jimenez-Roses, Bradley A Morgan, Maria Jimenez Sigstad, T.D. Zoe Tran, Rohini Srivastava, Asuman Bunsuz, Leire Borrega Roman, Pattarin Hompluem, Sean A Cullum, Clare R Harwood, Eline J Koers, David A Sykes (+2 others)
2021 bioRxiv   pre-print
One central question of drug discovery surrounding GPCRs is what determines the agonism or antagonism exhibited by ligands which bind these important targets.  ...  Using Machine Learning (ML) we identified specific interactions that correlated with the agonist or antagonist activity of these ligands, and developed ML-based predictors of agonist/antagonist activity  ...  T. & Guestrin, C. in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 785-794 (2016). 25 Shi, L. et al. β2Adrenergic Receptor Activation.  ... 
doi:10.1101/2021.03.18.434755 fatcat:adfa7337yrhfvbwvltjnfnzof4

Citation analysis of database publications

Erhard Rahm, Andreas Thor
2005 SIGMOD record  
He received the 2002 VLDB ten-year award for his work on automatic tuning.  ...  His current research interests include intelligent search on semistructured data, combining DB technology with IR techniques, and "autonomic" peer-to-peer information management.  ...  The report by Amer-Yahia, which I placed under the Event Reports column, is about one of the panels at SIGMOD 2005.  ... 
doi:10.1145/1107499.1107505 fatcat:c4evhhw6y5difggghxsvvdqzeu

Situating Fear of Crime: The Prospects for Criminological Research to Use Smartphone Applications to Gather Experience Sampling Data [chapter]

Alexander Engström, Karl Kronkvist
2018 Community-Oriented Policing and Technological Innovations  
The scope of the series spans the whole field of Criminology and Criminal Justice, with an aim to be on the leading edge and continue to advance research.  ...  The series covers a broad range of Criminology research from experimental design and methods, to brief reports and regional studies, to policy-related applications.  ...  Acknowledgements This work was supported by the TENSOR project (H2020-700024), funded by the European Commission.  ... 
doi:10.1007/978-3-319-89294-8_9 fatcat:hdd455ummrcutikw7eaxvza53y

The Algorithm as a Human Artifact: Implications for Legal {Re}Search

Susan Nevelow Mart
2016 Social Science Research Network  
, in Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 259 (2015),  ...  Allan Hanson, From Key Numbers to Keywords: How Automation Has Transformed the Law, 94 Law Libr. J. 563, 569-72, 2002 Law Libr. J. 36, ¶ ¶ 19-25; see also William G.  ...  secondary sources, citation networks, internal case analyses, mined user search history, or machine learning deployed in the unique environment each legal database provider offers.  ... 
doi:10.2139/ssrn.2859720 fatcat:42b5dvduoff75iqi3yirfmkr64

Data Mining and Domestic Security

K. A. Taipale
Government policy calls for the research, development, and implementation of advanced information technologies for aggregating and analyzing data, including data mining, in the effort to protect domestic  ...  The purpose of this Article is not to critique or endorse any particular proposed use of these technologies but, rather, to inform the debate by elucidating the intersection of technology potential and  ...  One may apply data mining tools to detect abnormal activity.").  ... 
doi:10.7916/stlr.v5i0.3632 fatcat:hrlv6v62ffhghjn4cd3a6m6pmm

Enhanced vector space models for content-based recommender systems

Cataldo Musto
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
In KDD ’03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 517–522. ACM Press, 2003. [Fod02] Imola Fodor.  ...  In this scenario, Information Retrieval (IR) and Filtering (IF) tools are able to effectively manage the surplus of data we daily interact with.  ... 
doi:10.1145/1864708.1864791 dblp:conf/recsys/Musto10 fatcat:btpepieksvdrtpgdihskllxc34

Space and time

G Andrienko, N Andrienko, H Schumann, C Tominski, U Demsar, D Dransch, J Dykes, Sara I Fabrikant, M Jern, M J Kraak
Last but not least, we are indebted to the European Commission, and especially, the project officer of VisMaster CA, Dr.  ...  Teresa de Martino, for supporting us throughout; her efforts have contributed appreciably to the success of this project.  ...  Whilst some have produced chapters (authors of each chapter are shown overleaf), others have been involved with the reviewing process and/or coordinating their work groups.  ... 
doi:10.5167/uzh-45424 fatcat:t6szjlhxj5c3zjpwcms7jw3eum

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning [article]

Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Noueihed, Chinedum E. Okwudire, Garvesh Raskutti (+3 others)
2021 arXiv   pre-print
The Internet of Things (IoT) is on the verge of a major paradigm shift.  ...  analytics/models while keeping their personal data stored locally.  ...  On the demand side, of its methods (by applying the PROBAST tool [325]) or technologies such as smart devices, demand management through external validation of the findings.  ... 
arXiv:2111.05326v1 fatcat:bbgdhtuqcrhstgakt2vxuve2ca
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