Explore the words cloud of the CogNet project. It provides you a very rough idea of what is the project "CogNet" about.
The following table provides information about the project.
Coordinator |
WATERFORD INSTITUTE OF TECHNOLOGY
Organization address contact info |
Coordinator Country | Ireland [IE] |
Project website | http://www.cognet.5g-ppp.eu/ |
Total cost | 5˙972˙820 € |
EC max contribution | 5˙972˙819 € (100%) |
Programme |
1. H2020-EU.2.1.1.3. (Future Internet: Software, hardware, Infrastructures, technologies and services) |
Code Call | H2020-ICT-2014-2 |
Funding Scheme | RIA |
Starting year | 2015 |
Duration (year-month-day) | from 2015-07-01 to 2017-12-31 |
Take a look of project's partnership.
# | ||||
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1 | WATERFORD INSTITUTE OF TECHNOLOGY | IE (Waterford) | coordinator | 1˙027˙125.00 |
2 | ALCATEL-LUCENT ISRAEL LTD | IL (Kfar Saba) | participant | 686˙062.00 |
3 | IBM IRELAND LIMITED | IE (Ballsbridge) | participant | 652˙031.00 |
4 | FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH | ES (DONOSTIA SAN SEBASTIAN) | participant | 568˙150.00 |
5 | UNIVERSITA DEGLI STUDI DI TRENTO | IT (TRENTO) | participant | 546˙750.00 |
6 | UNIVERSIDAD POLITECNICA DE MADRID | ES (MADRID) | participant | 457˙500.00 |
7 | TELEFONICA INVESTIGACION Y DESARROLLO SA | ES (MADRID) | participant | 450˙417.00 |
8 | ORANGE SA | FR (PARIS) | participant | 448˙225.00 |
9 | INTEROUTE S.P.A. | IT (Rome) | participant | 427˙500.00 |
10 | TECHNISCHE UNIVERSITAT BERLIN | DE (BERLIN) | participant | 367˙750.00 |
11 | FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. | DE (MUNCHEN) | participant | 341˙308.00 |
5G will realise a true Internet of Things, a network capable of supporting potentially trillions of wireless connected devices and with overall bandwidth one thousand times higher that today’s wireless networks. Current 4G technology is approaching the limits of what is possible with this generation of radio technology and to address this, one of the key requirements of 5G will be to create a network that is highly optimised to make maximum use of available radio spectrum and bandwidth for QoS, and because of the network size and number of devices connected, it will be necessary for it to largely manage itself and deal with organisation, configuration, security, and optimisation issues. Virtualisation will also play an important role as the network will need to provision itself dynamically to meet changing demands for resources and Network Function Virtualisation (NFV), the virtualising of network nodes functions and links, will be the key technology for this.
We believe that Autonomic Network Management based on Machine Learning will be a key technology enabling an (almost) self administering and self managing network. Network software will be capable of forecasting resource demand requirements through usage prediction, recognising error conditions, security conditions, outlier events such as fraud, and responding and taking corrective actions. Energy efficiency will also be a key requirement with the possibility to reconfigure the NFV to for example avail of cheaper or greener energy when it is available and suitable. Again this is directly related to usage prediction both at a macro level, across an entire network, and at a micro level within specific cells.
The Cognet proposal will focus on applying Machine Learning research to these domains to enable the level of Network Management technology required to fulfil the 5G vision.
Final Project Management Report | Documents, reports | 2019-02-26 14:23:20 |
Data Protection and Privacy Audit Report | Documents, reports | 2019-05-30 12:02:44 |
Dissemination, Communication, Exploitation and Standardisation Report Year 2 | Documents, reports | 2019-05-30 12:02:48 |
Contributions to Standards Report | Documents, reports | 2019-05-30 12:02:47 |
Network Security & Resilience - Engineering Release 1 | Other | 2019-05-30 12:02:42 |
Analytics Module | Other | 2019-05-30 12:02:44 |
Network Resource Mgmt- Engineering Release 2 | Other | 2019-05-30 12:02:44 |
Network Security & Resilience Engineering Release 2 | Other | 2019-05-30 12:02:46 |
Engineering Release 1 | Other | 2019-05-30 12:02:55 |
IPR Management Report | Documents, reports | 2019-05-30 12:02:44 |
Dissemination, Communication, Exploitation and Standardisation Report – Final | Documents, reports | 2019-05-30 12:02:45 |
Network Resilience Evaluation Framework | Other | 2019-05-30 12:02:48 |
Final release of the integrated platform and performance reports | Documents, reports | 2019-05-30 12:02:46 |
CogNet initial scenarios, use cases and requirements | Documents, reports | 2019-05-30 12:02:50 |
Integrated Platform and Performance Reports Release 1 | Documents, reports | 2019-05-30 12:02:39 |
Network Resource Mgmt- Engineering Release 1 | Other | 2019-05-30 12:02:37 |
Engineering Release 2 | Other | 2019-05-30 12:02:46 |
CogNet final requirements, scenarios and architecture | Documents, reports | 2019-05-30 12:02:54 |
Training, Validation and Deployment | Documents, reports | 2019-05-30 12:02:44 |
Initial Design - Machine Learning | Other | 2019-05-30 13:18:52 |
Preliminary Report into Proposed Standardisation Activities | Documents, reports | 2019-05-30 13:18:53 |
Dissemination, Communication, Exploitation and Standardisation Report Year 1 | Documents, reports | 2019-05-30 13:18:47 |
Communication and Dissemination Strategy | Documents, reports | 2019-05-30 13:18:52 |
CogNet Online Presence | Websites, patent fillings, videos etc. | 2019-05-30 13:18:45 |
Network Resource Mgmt - Initial Design | Other | 2019-05-30 13:18:33 |
Data Management Plan | Open Research Data Pilot | 2019-05-30 13:18:49 |
Initial integration and validation plan | Documents, reports | 2019-05-30 13:18:51 |
Network Security & Resilience - Initial Design | Other | 2019-05-30 13:18:49 |
Take a look to the deliverables list in detail: detailed list of CogNet deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model published pages: 897-902, ISSN: , DOI: 10.18653/v1/D17-1093 |
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing | 2019-07-08 |
2017 |
Massimo Nicosia, Alessandro Moschitti Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information published pages: 260-270, ISSN: , DOI: 10.18653/v1/K17-1027 |
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) | 2019-07-08 |
2018 |
Alberto Mozo, José Luis López-Presa, Antonio Fernández Anta A distributed and quiescent max-min fair algorithm for network congestion control published pages: 492-512, ISSN: 0957-4174, DOI: 10.1016/j.eswa.2017.09.015 |
Expert Systems with Applications 91 | 2019-07-08 |
2016 |
Alberto Barrón-Cedeño, Giovanni Da San Martino, Shafiq Joty, Alessandro Moschitti, Fahad Al-Obaidli, Salvatore Romeo, Kateryna Tymoshenko, Antonio Uva ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora published pages: 896-903, ISSN: , DOI: 10.18653/v1/S16-1138 |
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) | 2019-07-08 |
2017 |
Haytham Assem, Teodora Sandra Buda, Declan O’sullivan RCMC published pages: 1-30, ISSN: 2157-6904, DOI: 10.1145/3086636 |
ACM Transactions on Intelligent Systems and Technology 8/5 | 2019-07-08 |
2016 |
Azad Abad, Alessandro Moschitti Taking the best from the Crowd:Learning Question Passage Classification from Noisy Data published pages: 136-141, ISSN: , DOI: 10.18653/v1/S16-2018 |
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics | 2019-07-08 |
2017 |
Olga Uryupina, Alessandro Moschitti Collaborative Partitioning for Coreference Resolution published pages: 47-57, ISSN: , DOI: 10.18653/v1/K17-1007 |
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) | 2019-07-08 |
2017 |
Daniele Bonadiman (UNITN), Giuseppe Castellucci (Almawave), Andrea Favalli (Almawave), Raniero Romagnoli (Almawave) and Alessandro Moschitti (UNITN) Neural Sentiment Analysis for a Real-World Application published pages: 42-47, ISSN: , DOI: |
PROCEEDINGS OF THE FOURTH ITALIAN CONFERENCE ON COMPUTATIONAL LINGUISTICS CLIC-IT 2017 | 2019-07-08 |
2017 |
Gianni Barlacchi (UNITN), Bruno Lepri and Alessandro Moschitti (UNITN) Predicting Land Use of Italian Cities using Structural Semantic Models published pages: , ISSN: , DOI: |
Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017) | 2019-07-08 |
2018 |
Bora Caglayan, Teodora Sandra Buda, Haytham Assem, Imen Grida Ben Yahia, Jaafar Bendriss, Angel Martin, Gorka Velez, Udi Margolin, Itai Segall, Antonio Pastor, Diego Lopez, Alberto Mozo, Bruno Ordozgoiti, Marius-Iulian Corici, Mikhail Smirnov, Kateryna Cognitive Services Portfolio for 5G Network Management published pages: , ISSN: , DOI: |
2nd Workshop on Network Management, Quality of Service and Security for 5G Networks colocated with EUCNC 2017 | 2019-07-08 |
2018 |
Alberto Mozo, Bruno Ordozgoiti, Sandra Gómez-Canaval Forecasting short-term data center network traffic load with convolutional neural networks published pages: e0191939, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0191939 |
PLOS ONE 13/2 | 2019-07-08 |
2017 |
Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection published pages: 722-733, ISSN: 1611-3349, DOI: 10.1007/978-3-319-59147-6_61 |
14th International Work-Conference on Artificial Neural Networks 2017 (IWANN) Lecture Notes in Computer Scien | 2019-07-08 |
2016 |
Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo Feature Ranking and Selection for Big Data Sets published pages: 128-136, ISSN: , DOI: 10.1007/978-3-319-44066-8_14 |
East European Conference on Advances in Databases and Information Systems ADBIS 2016. Communications in C | 2019-07-08 |
2016 |
Gorka Velez, Marco Quartulli, Angel Martin, Oihana Otaegui, Haytham Assem Machine Learning for Autonomic Network Management in a Connected Cars Scenario published pages: 111-120, ISSN: , DOI: 10.1007/978-3-319-38921-9_12 |
International Workshop on Communication Technologies for Vehicles Book Communication Technologies | 2019-07-08 |
2017 |
Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O\'Sullivan (IBM) ST-DenNesFus: Deep Spatio-Temporal Dense Networks for Network Demand Prediction published pages: , ISSN: , DOI: |
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | 2019-07-08 |
2016 |
M. Nicosia, A. Moschitti Crossword Puzzle Resolution in Italian using Distributional Models for Clue Similarity published pages: , ISSN: , DOI: |
Proceedings of the 7th Italian Information Retrieval Workshop (IIR) | 2019-07-08 |
2017 |
Olga Uryupina (UNITN), Ron Artstein, Antonella Bristot, Federica Cavicchio, Francesca Delogu, Kepa J. Rodriguez, Massimo Poesio Annotating a broader range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus published pages: , ISSN: 1469-8110, DOI: |
Journal of Natural Language Engineering | 2019-07-08 |
2017 |
Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia, Aliaksei Severyn RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations published pages: 79-84, ISSN: , DOI: 10.18653/v1/P17-4014 |
Proceedings of ACL 2017, System Demonstrations | 2019-07-08 |
2016 |
Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco J Valverde-Albacete, Manos Tsagkias, Antonio Uva, Alessandro Moschitti LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform published pages: 157-162, ISSN: , DOI: 10.18653/v1/P16-4027 |
Proceedings of ACL-2016 System Demonstrations | 2019-07-08 |
2016 |
Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking published pages: 1268-1278, ISSN: , DOI: 10.18653/v1/N16-1152 |
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies | 2019-07-08 |
2018 |
Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo Iterative column subset selection published pages: 65-94, ISSN: 0219-1377, DOI: 10.1007/s10115-017-1115-4 |
Knowledge and Information Systems 54/1 | 2019-07-08 |
2017 |
Angel Martin, Roberto Viola, Josu Gorostegui, Mikel Zorrilla, Julian Florez, Jon Montalban LAMB-DASH: a DASH-HEVC adaptive streaming algorithm in a sharing bandwidth environment for heterogeneous contents and dynamic connections in practice published pages: , ISSN: 1861-8200, DOI: 10.1007/s11554-017-0728-x |
Journal of Real-Time Image Processing | 2019-07-08 |
2016 |
K. Sullivan, M. Barros, A. Martin An Energy Efficient Architecture for 5G Network Management published pages: , ISSN: , DOI: |
1st International Workshop on Network Management, Quality of Service and Security for 5G Networks allocated with the EuCNC 2016, At Athens | 2019-07-08 |
2018 |
Mikel Zorrilla, Julian Florez, Alberto Lafuente, Angel Martin, Jon Montalban, Igor G. Olaizola, Inigo Tamayo SaW: Video Analysis in Social Media with Web-Based Mobile Grid Computing published pages: 1442-1455, ISSN: 1536-1233, DOI: 10.1109/TMC.2017.2766623 |
IEEE Transactions on Mobile Computing 17/6 | 2019-07-08 |
2017 |
Michael Taynnan Barros, Robert Mullins, Sasitharan Balasubramaniam Integrated Terahertz Communication With Reflectors for 5G Small-Cell Networks published pages: 5647-5657, ISSN: 0018-9545, DOI: 10.1109/TVT.2016.2639326 |
IEEE Transactions on Vehicular Technology 66/7 | 2019-07-08 |
2018 |
Teodora Sandra Buda, Bora Caglayan, Haytham Assem (IBM) 5G PPP – 5G Architecture White Paper version 2 published pages: , ISSN: , DOI: |
2019-07-08 | |
2017 |
Bruno Ordozgoiti (UPM), Sandra Gómez Canaval (UPM), Alberto Mozo (UPM), Udi Margolin (Nokia), Elisha Rosensweig (Nokia), Itai Segall (Nokia) Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure published pages: , ISSN: , DOI: |
25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning | 2019-07-08 |
2017 |
Azad Abad, Moin Nabi, Alessandro Moschitti Self-Crowdsourcing Training for Relation Extraction published pages: 518-523, ISSN: , DOI: 10.18653/v1/P17-2082 |
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) | 2019-07-08 |
2016 |
Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O’Sullivan Machine learning as a service for enabling Internet of Things and People published pages: 899-914, ISSN: 1617-4909, DOI: 10.1007/s00779-016-0963-3 |
Personal and Ubiquitous Computing 20/6 | 2019-07-08 |
2017 |
Iryna Haponchyk, Alessandro Moschitti Don\'t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures published pages: 1018-1028, ISSN: , DOI: 10.18653/v1/P17-1094 |
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) | 2019-07-08 |
2017 |
Iryna Haponchyk, Alessandro Moschitti A Practical Perspective on Latent Structured Prediction for Coreference Resolution published pages: 143-149, ISSN: , DOI: |
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics Volume 2, Short Papers | 2019-07-08 |
2017 |
Daniele Bonadiman, Antonio Uva, Alessandro Moschitti Effective Shared Representations with Multitask Learning for Community Question Answering published pages: 726-732, ISSN: , DOI: |
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics Volume 2, Short Papers | 2019-07-08 |
2016 |
Simone Filice, Danilo Croce, Alessandro Moschitti, Roberto Basili KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers published pages: 1116-1123, ISSN: , DOI: 10.18653/v1/S16-1172 |
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) | 2019-07-08 |
2015 |
Aliaksei Severyn, Massimo Nicosia, Gianni Barlacchi, Alessandro Moschitti Distributional Neural Networks for Automatic Resolution of Crossword Puzzles published pages: 199-204, ISSN: , DOI: 10.3115/v1/P15-2033 |
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) | 2019-07-08 |
2015 |
Alessandro Moschitti, Massimo Nicosia, Gianni Barlacchi SACRY: Syntax-based Automatic Crossword puzzle Resolution sYstem published pages: 79-84, ISSN: , DOI: 10.3115/v1/P15-4014 |
Proceedings of ACL-IJCNLP 2015 System Demonstrations | 2019-07-08 |
2016 |
Ordozgoiti, S.Gómez Canaval A.Mozo Parallelized unsupervised feature selection for large-scale network traffic analysis published pages: 617-622, ISSN: , DOI: |
24th European Symposium of Artificial Neural Networks, ESANN | 2019-07-08 |
2015 |
D. Bonadiman, A. Severyn, A. Moschitti Deep Neural Networks for Named Entity Recognition in Italian published pages: , ISSN: , DOI: |
Proceedings of The Italian Conference on Computational Linguistics (CLiC-it) Dec-15 | 2019-07-08 |
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The information about "COGNET" are provided by the European Opendata Portal: CORDIS opendata.