531 Hits in 9.6 sec

A deep tech architecture for intelligent IoT systems [chapter]

Mehmet Ozturk
2020 The role of Artificial Intelligence and distributed computing in IoT applications  
The term Internet of Things (IoT) is one of the emerging technologies of recent years and is the basis of many trends such as smart cities, smart homes and e-healthcare [13] [14] [15] [16] [17] [18] [19  ...  Therefore, Cloud Computing has caused a big change in the way we live and work [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] .  ...  IEE, LONDON, UK. 30. Corchado, J. M. (1995). The use of kernel methods in cbr systems. In INTER-NATIONAL CONFERENCE ON INTELLIGENT SYSTEMS. LONDON ENGLAND UK. 31. Corchado, J. M. (1995).  ... 
doi:10.14201/0aq02874154 fatcat:3doaml3pcjcpxjtqpbyykkixw4

Vibrotactile Recognition and Categorization of Surfaces by a Humanoid Robot

J Sinapov, V Sukhoy, R Sahai, A Stoytchev
2011 IEEE Transactions on robotics  
College, London, 11-13 July, 2007.  ...  (a.k.a., AI Oscars), July 14, 2009.  ... 
doi:10.1109/tro.2011.2127130 fatcat:pwuef62ywfekfkvv2qrrdeyd5m

Policies of Artificial Intelligence in the EU: Learning Curve from the UK and China?

Ms. Tanzeela Jameel, Dr. Adam Saud
2022 Journal of European studies  
Artificial Intelligence (AI) can be traced back to John McCarthy who is considered as one of the pioneers of the AI discipline. 1 AI has emerged as one of the most important realities in the first quarter  ...  Finally, we provide arguments on how the EU can learn from some countries, like China and the UK, in order to strengthen its AI policies.  ...  In Proceedings of the IEEE/CVF winter conference on applications of computer vision, pp. 3348-3357. 2021. 17 Barari, Soubhik, Christopher Lucas, and Kevin Munger.  ... 
doi:10.56384/jes.v38i2.252 fatcat:yyl4nqp7ofhwhffrakgdz427ba

D7.3 - Interim Dissemination, Communication and Stakeholders' Activity Report

2020 Zenodo  
An interim report including all activities related to dissemination and communication of ASCLEPIOS, that were performed during the first reporting period, and a plan for the second period of the project  ...  (ISCC 2020) Conference Paper Accepted TUNI July 15-17, 2020 Piraeus, Greece / physical and online 11th IEEE International Conference on Information, Intelligence, Systems and Applications  ...  ) / D2.3 SUITE5 [M19] -June 2020 16 Analytics for identification of emerging threats and monitoring of encryption activities for CSPs / D2.3 SUITE5 [M20] -July 2020 17 ASCLEPIOS Access control  ... 
doi:10.5281/zenodo.4022429 fatcat:npla3eauvncfbpt3ooj5xvdtpe

Digital inequalities 3.0: Emergent inequalities in the information age

Laura Robinson, Jeremy Schulz, Hopeton S. Dunn, Antonio A. Casilli, Paola Tubaro, Rod Carvath, Wenhong Chen, Julie B. Wiest, Matías Dodel, Michael J. Stern, Christopher Ball, Kuo-Ting Huang (+14 others)
2020 First Monday  
Marking the 25th anniversary of the "digital divide," we continue our metaphor of the digital inequality stack by mapping out the rapidly evolving nature of digital inequality using a broad lens.  ...  Therefore, we document emergent forms of inequality that radically diminish individuals' agency and augment the power of technology creators, big tech, and other already powerful social actors whose dominance  ...  CHI ’16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems , pp. 3,748–3,760. doi:, accessed 17 June 2020.  ... 
doi:10.5210/fm.v25i7.10844 fatcat:hxhc33sfnbhanm3aijs5bogsmm


Erich Schweighofer
2020 Jusletter IT. Die Zeitschrift für IT und Recht. Information  
A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law, In: Artificial Intelligence & Law, Vol. 20, no. 3 September 2012 gemeinsam mit/jointly with Trevor Bench-Capon  ...  LOAIT 2010 Legal Ontologies and Artificial Intelligence Techniques, Proceedings of the 4th Workshop, Florence, July 2010, 77-86 83. Enriching legal text corpora with ontologies.  ... 
doi:10.38023/c0958985-23da-40c5-a054-d924ff22ccee fatcat:n4kkrg3kkzdj5foazzdc7dg3wy

Graph Neural Networks for Natural Language Processing: A Survey [article]

Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
2021 arXiv   pre-print
To the best of our knowledge, this is the first comprehensive overview of Graph NeuralNetworks for Natural Language Processing.  ...  Finally, we discussvarious outstanding challenges for making the full use of GNNs for NLP as well as future researchdirections.  ...  Màrquez, editors, Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, pages 2694–2703.  ... 
arXiv:2106.06090v1 fatcat:zvkhinpcvzbmje4kjpwjs355qu

Systematic Literature Review on Test Case Selection and Prioritization: A Tertiary Study

Shweta Singhal, Nishtha Jatana, Bharti Suri, Sanjay Misra, Luis Fernandez-Sanz
2021 Applied Sciences  
This SLR provides: (1) a collection of all the valuable secondary studies (and their qualitative analysis); (2) a thorough analysis of the publications and the trends of the secondary studies; (3) a classification  ...  ; (8) common gaps and limitations of the studies; and (9) the probable prospects for research in the field of TCS&P.  ...  In Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, London, UK, 13–14 May 2014; pp. 1–10. 17. Catal, C.  ... 
doi:10.3390/app112412121 fatcat:xjycotueenatxfmtdbzvcjgoeq

Jeffrey Edmonds/Samuel Bendett/Anya Fink/Mary Chesnut/Dmitry Gorenburg/Michael Kofman/Kasey Stricklin/Julian Waller: Artificial Intelligence and Autonomy in Russia. Arlington, VA: Center for Naval Analyses (CNA), Mai 2021

Artiom Hildebrandt
2021 SIRIUS - Zeitschrift für Strategische Analysen  
This report provides a comprehensive overview of the current state of civilian and military artificial intelligence in Russia, examining all relevant sectors, key institutions, and trends.  ...  This report is part of an effort by CNA to provide timely, accurate, and relevant information and analysis of the field of AI in Russia, and follows a series of more than twenty biweekly newsletters on  ...  ," [Artificial Intelligence and the law: is there a contract?],, July 16, 2020,  ... 
doi:10.1515/sirius-2021-4014 fatcat:kebmdg2gmfellh37sljf26sqcm

How Can High-Frequency Sensors Capture Collaboration? A Review of the Empirical Links between Multimodal Metrics and Collaborative Constructs

Bertrand Schneider, Gahyun Sung, Edwin Chng, Stephanie Yang
2021 Sensors  
For the scope of this paper, we focus on: (1) the sensor-based metrics computed from multimodal data sources (e.g., speech, gaze, face, body, physiological, log data); (2) outcome measures, or operationalizations  ...  We selected papers published from 2010 to 2020 and extracted their key contributions.  ...  In Proceedings of the 7th International Conference on Educational Data Mining, London, UK, 4–7 July 2014; pp. 138–144. 50. Bachour, K.; Kaplan, F.; Dillenbourg, P.  ... 
doi:10.3390/s21248185 pmid:34960278 pmcid:PMC8706197 fatcat:puclqibmhvew7aadu3xwgse2ly

Editor's Notes & Ethics Statement

2021 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN)  
Respect human dignity and privacy of patients and human subjects. Information 2.  ...  The EMBS AdCom approved the following Code of Ethics to provide a guideline of ethical consideration for all members and to establish its support for ethical conduct in research.  ...  Analysis of Wearable Sensor Data Chairs: Benny Lo (Imperial College London); Rita Paradiso (Smartex s.r.l.) 19:05-19:35 Poster Session # 2 Program at a Glance Thursday, July 29, 2021 Schedule  ... 
doi:10.1109/bsn51625.2021.9507039 fatcat:bhmvlh5fave6lbij7fas5m4e7u

Front Matter

2021 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)  
Respect human dignity and privacy of patients and human subjects. Information 2.  ...  Graduate students in biomedical engineering, computer science and medicine may benefit from the invited speakers' presentations highlighting the current research work being done on AI for US image analysis  ...  16:25-16:30 Break 16:30-17:30 17:30-18:00 Joshua S Weitz, Georgia Institute of Technology, USA 18:00-18:05 Break 18:05-19:05 BHI Special Session Opportunities for Machine Learning and  ... 
doi:10.1109/bhi50953.2021.9508590 fatcat:sba7l5z735arnnkksekqhmnifq

Study on Machine Learning Techniques for Malware Classification and Detection

2021 KSII Transactions on Internet and Information Systems  
He received a PhD at Imperial College London in the Department of Computing, United Kingdom.  ...  the insufficient volume of the training dataset.  ... 
doi:10.3837/tiis.2021.12.003 fatcat:3h4j7wstmjgynmsmh3gnzyhh2q

The climate impact of ICT: A review of estimates, trends and regulations [article]

Charlotte Freitag, Mike Berners-Lee, Kelly Widdicks, Bran Knowles, Gordon Blair, Adrian Friday
2021 arXiv   pre-print
scopes 1, 2 and fully inclusive 3).  ...  the attainment of climate targets.  ...  The research was partially supported by the DT/LWEC Senior Fellowship (awarded to Blair) in the Role of Digital Technology in Understanding, Mitigating and Adapting to Environmental Change, EPSRC: EP/P002285  ... 
arXiv:2102.02622v1 fatcat:faxoh7mo4jcrjbhz6jjgnzkv7e

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation [article]

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein (+113 others)
2021 arXiv   pre-print
We demonstrate the efficacy of NL-Augmenter by using several of its transformations to analyze the robustness of popular natural language models.  ...  Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on.  ...  In Proceedings of the 40th Annual Meeting of In Proceedings of the 2017 Conference on Empiri- the Association for Computational Linguistics, July cal Methods in Natural Language Processing  ... 
arXiv:2112.02721v1 fatcat:uqizuxc4wzgxnnfsc6azh6ckpq
« Previous Showing results 1 — 15 out of 531 results