Building an Intelligent System of Insights and Action for 5G Network Management

Informations projet

CogNet

N° de convention de subvention: 671625

DOI 10.3030/671625

Projet clôturé

Date de signature de la CE 10 Juin 2015

Date de début 1 Juillet 2015

Date de fin 31 Decembre 2017

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coût total € 5 972 820,00

Contribution de l’UE € 5 972 819,75

Coordonné par

WATERFORD INSTITUTE OF TECHNOLOGY
Ireland

Livrables

Documents, reports (15)

CogNet final requirements, scenarios and architecture

Report comprising final CogNet scenarios, use cases, requirement and architecture

Contributions to Standards Report

Report detailing how CogNet has contributed to various standards in areas such as NFV, SDN and Autonomic Network Management

Dissemination, Communication, Exploitation and Standardisation Report Year 2

Second Dissemination, Communication, Exploitation and Standardisation Report

Integrated Platform and Performance Reports Release 1

First release of the integrated platform and performance reports – first suite of software and tools for evaluation of WP3, 4 and 5 results, plus demonstrations of key applications of the core technology

Dissemination, Communication, Exploitation and Standardisation Report Year 1

First Dissemination, Communication, Exploitation and Standardisation Report

Training, Validation and Deployment

Data and ML Models and Report outlining the results of the Training, Validation and Deployment activities

IPR Management Report

Document outlining the identification, capture and management of IP developed in the project

Final Project Management Report

Document tracking key project outcomes, milestones, results and use of financial resources during the project.

Data Protection and Privacy Audit Report

Report document auditing Data Protection and Privacy issues encountered in the project and results.

Dissemination, Communication, Exploitation and Standardisation Report – Final

Final Dissemination, Communication, Exploitation and Standardisation Report

Initial integration and validation plan

Report detailing plans for development/test processes and methodologies, development environment, and integration plans for complementary technologies and demonstrators.

Preliminary Report into Proposed Standardisation Activities
CogNet initial scenarios, use cases and requirements

Report comprising all initial CogNet scenarios, use cases and requirements

Communication and Dissemination Strategy

Report detailing all dissemination and communication plans and targets

Final release of the integrated platform and performance reports

Final release of the integrated platform and performance reports – second suite of software and tools for evaluation of WP4 and 5 results, plus demonstrations of key applications of the core technology.

Open Research Data Pilot (1)

Data Management Plan

Document outlining the processes used when dealing with potentially private or sensitive data including notification of the relevant data protection agencies

Websites, patent fillings, videos etc. (1)

CogNet Online Presence

Production of CogNet Online Presence – creating public website and social media presence

Other (11)

Network Resource Mgmt - Initial Design

Network Resource Mgmt Initial Design - Raw Data Preprocessing, Prediction in NFV, Self-Managed NFV Ecosystem, Network Traffic Classification and Prediction.(M12)

Network Resilience Evaluation Framework

Network Resilience Evaluation Framework and Integration with OpenSDNCore, OpenFlow and OpenStack

Network Security & Resilience - Initial Design

Network Security & Resilience Initial Design - Secure NFV Subsystem, High Availability Framework, Degradation Detection and Correction, Autonomic Rules Generator and I/F, Network Resilience Framework

Engineering Release 2

Designs and Code set implementaing Feature & Structure modelling, Structured I/O, Unsupervised Learning & Domain Adaption

Network Resource Mgmt- Engineering Release 2

Network Resource Mgmt- Engineering Release 2 - Raw Data Preprocessing, Prediction in NFV, Self-Managed NFV Ecosystem, Network Traffic Classification and Prediction.(M18)

Network Resource Mgmt- Engineering Release 1

Network Resource Mgmt- Engineering Release 1 - Raw Data Preprocessing, Prediction in NFV, Self-Managed NFV Ecosystem, Network Traffic Classification and Prediction.(M18)

Network Security & Resilience Engineering Release 2

Engineering Release 2 - Secure NFV Subsystem, High Availability Framework, Degradation Detection and Correction, Autonomic Rules Generator and I/F, Network Resilience Framework

Network Security & Resilience - Engineering Release 1

Network Security & Resilience Engineering Release 1 - Secure NFV Subsystem, High Availability Framework, Degradation Detection and Correction, Autonomic Rules Generator and I/F, Network Resilience Framework (M18)

Engineering Release 1

Designs and Code set implementing Feature & Structure modelling, Structured I/O, Unsupervised Learning & Domain Adaption.

Analytics Module

Standardized Analytics Module for NFV-MANO: A-MANO

Initial Design - Machine Learning

Initial design for Feature & Structure modelling, Structured I/O, Unsupervised Learning & Domain Adaption

Publications

Conference proceedings (50)

Can machine learning aid in delivering new use cases and scenarios in 5G?

Auteurs: Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha Rosensweig, Diego R. Lopez, Marius-Iulian Corici, Mikhail Smirnov, Robert Mullins, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti, Angel Martin, Alaa Alloush, Pat O'Sullivan, Imen Grida Ben Yahia
Publié dans: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016, Page(s) 1279-1284, ISBN 978-1-5090-0223-8
Éditeur: IEEE
DOI: 10.1109/NOMS.2016.7503003

ST-DenNesFus: Deep Spatio-Temporal Dense Networks for Network Demand Prediction

Auteurs: Haytham Assem, Bora Caglayan, Teodora Sandra Buda, Declan O'Sullivan (IBM)
Publié dans: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017
Éditeur: KDD

CogNet: A network management architecture featuring cognitive capabilities

Auteurs: Lei Xu, Haytham Assem, Imen Grida Ben Yahia, Teodora Sandra Buda, Angel Martin, Domenico Gallico, Matteo Biancani, Antonio Pastor, Pedro A. Aranda, Mikhail Smirnov, Danny Raz, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti, Marius-Iulian Corici, Pat O'Sullivan, Robert Mullins
Publié dans: 2016 European Conference on Networks and Communications (EuCNC), 2016, Page(s) 325-329, ISBN 978-1-5090-2893-1
Éditeur: IEEE
DOI: 10.1109/EuCNC.2016.7561056

Learning to Rank Non-Factoid Answers - Comment Selection in Web Forums

Auteurs: Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Publié dans: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, Numéro Oct-16, 2016, Page(s) 2049-2052, ISBN 9781-450340731
Éditeur: ACM Press
DOI: 10.1145/2983323.2983906

Using Machine Learning to Detect Noisy Neighbors in 5G Networks

Auteurs: Margolin, Udi; Mozo, Alberto; Ordozgoiti, Bruno; Raz, Danny; Rosensweig, Elisha; Segall, Itai
Publié dans: EuCNC 2016/CoRR, Numéro abs/1610.07419, 2016
Éditeur: ArXiv

Assessing the Impact of Syntactic and Semantic Structures for Answer Passages Reranking

Auteurs: Kateryna Tymoshenko, Alessandro Moschitti
Publié dans: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15, 2015, Page(s) 1451-1460, ISBN 9781-450337946
Éditeur: ACM Press
DOI: 10.1145/2806416.2806490

Machine Learning for Autonomic Network Management in a Connected Cars Scenario

Auteurs: Gorka Velez, Marco Quartulli, Angel Martin, Oihana Otaegui, Haytham Assem
Publié dans: International Workshop on Communication Technologies for Vehicles, Numéro Book Communication Technologies for Vehicles 16 May 2016, 2016, Page(s) 111-120
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-38921-9_12

ARRAU: Linguistically-Motivated Annotation of Anaphoric Description

Auteurs: O. Uryupina, R. Artstein, A. Bristot, F. Cavicchio, K.J. Rodriguez, M. Poesio
Publié dans: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), 2016, Page(s) 2058-2062, ISBN 978-2-9517408-9-1
Éditeur: European Language Resources Association (ELRA)

Agile service manager for 5G

Auteurs: Marouen Mechtri, Imen Grida Benyahia, Djamal Zeghlache
Publié dans: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016, Page(s) 1285-1290, ISBN 978-1-5090-0223-8
Éditeur: IEEE
DOI: 10.1109/NOMS.2016.7503004

Emerging management challenges for the 5G era: Multi-service provision through optimal end-to-end resource slicing in virtualized infrastructures problem statements and solution approaches

Auteurs: Kostas Tsagkaris, Imen Gridabenyahia, Andreas Georgakopoulos, Panagiotis Demestichas
Publié dans: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016, Page(s) 1297-1300, ISBN 978-1-5090-0223-8
Éditeur: IEEE
DOI: 10.1109/NOMS.2016.7503006

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

Auteurs: Aliaksei Severyn, Alessandro Moschitti
Publié dans: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15, 2015, Page(s) 373-382, ISBN 9781-450336215
Éditeur: ACM Press
DOI: 10.1145/2766462.2767738

SACRY: Syntax-based Automatic Crossword puzzle Resolution sYstem

Auteurs: Alessandro Moschitti, Massimo Nicosia, Gianni Barlacchi
Publié dans: Proceedings of ACL-IJCNLP 2015 System Demonstrations, 2015, Page(s) 79-84
Éditeur: Association for Computational Linguistics and The Asian Federation of Natural Language Processing
DOI: 10.3115/v1/P15-4014

Crossword Puzzle Resolution in Italian using Distributional Models for Clue Similarity

Auteurs: M. Nicosia, A. Moschitti
Publié dans: Proceedings of the 7th Italian Information Retrieval Workshop (IIR), 2016
Éditeur: IIR

Parallelized unsupervised feature selection for large-scale network traffic analysis

Auteurs: Ordozgoiti, S.Gómez Canaval A.Mozo
Publié dans: 24th European Symposium of Artificial Neural Networks, ESANN, 2016, Page(s) 617-622
Éditeur: ESANN

Deep Neural Networks for Named Entity Recognition in Italian

Auteurs: D. Bonadiman, A. Severyn, A. Moschitti
Publié dans: Proceedings of The Italian Conference on Computational Linguistics (CLiC-it), Numéro Dec-15, 2015
Éditeur: Computational Linguistics

Distributional Neural Networks for Automatic Resolution of Crossword Puzzles

Auteurs: Aliaksei Severyn, Massimo Nicosia, Gianni Barlacchi, Alessandro Moschitti
Publié dans: 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), 2015, Page(s) 199-204
Éditeur: Association for Computational Linguistics
DOI: 10.3115/v1/P15-2033

PSCEG: An unbiased Parallel Subspace Clustering algorithm using Exact Grids

Auteurs: Zhu, B.Ordozgoiti, A.Mozo
Publié dans: ESANN 2016 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning., 2016, ISBN 978-2875-87027-8
Éditeur: ESANN

Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking

Auteurs: Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Publié dans: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, Page(s) 1268-1278
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/N16-1152

A Practical Perspective on Latent Structured Prediction for Coreference Resolution

Auteurs: Iryna Haponchyk, Alessandro Moschitti
Publié dans: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Numéro Volume 2, Short Papers, 2017, Page(s) 143-149
Éditeur: Association for Computational Linguistics

ADE: An ensemble approach for early Anomaly Detection

Auteurs: Teodora Sandra Buda, Haytham Assem, Lei Xu
Publié dans: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017, Page(s) 442-448, ISBN 978-3-901882-89-0
Éditeur: IEEE
DOI: 10.23919/INM.2017.7987310

Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities

Auteurs: Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
Publié dans: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), 2016, Page(s) 370-377, ISBN 978-1-5090-4459-7
Éditeur: IEEE
DOI: 10.1109/ICTAI.2016.0063

Spark2Fires: A New Parallel Approximate Subspace Clustering Algorithm

Auteurs: Bo Zhu, Alberto Mozo
Publié dans: East European Conference on Advances in Databases and Information Systems, 2016, Page(s) 147-154, ISBN 978-3-319-44065-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-44066-8_16

AI for SLA Management in Programmable Networks

Auteurs: Imen Grida Ben Yahia, Jaafar Bendriss, Prosper Chemouil, Djamal Zeghlache
Publié dans: DRCN 2017 - Design of Reliable Communication Networks; 13th International Conference, 2017, ISBN 978-3-8007-4383-4
Éditeur: IEEE

LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform

Auteurs: Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco J Valverde-Albacete, Manos Tsagkias, Antonio Uva, Alessandro Moschitti
Publié dans: Proceedings of ACL-2016 System Demonstrations, 2016, Page(s) 157-162
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/P16-4027

CogNitive 5G networks: Comprehensive operator use cases with machine learning for management operations

Auteurs: Imen Grida Ben Yahia, Jaafar Bendriss, Alassane Samba, Philippe Dooze
Publié dans: 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN), 2017, Page(s) 252-259, ISBN 978-1-5090-3672-1
Éditeur: IEEE
DOI: 10.1109/ICIN.2017.7899421

Effective Shared Representations with Multitask Learning for Community Question Answering

Auteurs: Daniele Bonadiman, Antonio Uva, Alessandro Moschitti
Publié dans: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Numéro Volume 2, Short Papers, 2017, Page(s) 726-732
Éditeur: Association for Computational Linguistics

Experience Report: Log-Based Behavioral Differencing

Auteurs: Maayan Goldstein, Danny Raz, Itai Segall
Publié dans: 2017 IEEE 28th International Symposium on Software Reliability Engineering (ISSRE), 2017, Page(s) 282-293, ISBN 978-1-5386-0941-5
Éditeur: IEEE
DOI: 10.1109/ISSRE.2017.14

Feature Ranking and Selection for Big Data Sets

Auteurs: Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Publié dans: East European Conference on Advances in Databases and Information Systems, Numéro ADBIS 2016. Communications in Computer and Information Science, vol 637, 2016, Page(s) 128-136
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-44066-8_14

KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers

Auteurs: Simone Filice, Danilo Croce, Alessandro Moschitti, Roberto Basili
Publié dans: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016, Page(s) 1116-1123
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/S16-1172

Forecasting and anticipating SLO breaches in programmable networks

Auteurs: Jaafar Bendriss, Imen Grida Ben Yahia, Djamal Zeghlache
Publié dans: 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN), 2017, Page(s) 127-134, ISBN 978-1-5090-3672-1
Éditeur: IEEE
DOI: 10.1109/ICIN.2017.7899402

An Energy Efficient Architecture for 5G Network Management

Auteurs: K. Sullivan, M. Barros, A. Martin
Publié dans: 1st International Workshop on Network Management, Quality of Service and Security for 5G Networks allocated with the EuCNC 2016, At Athens, 2016
Éditeur: EUCNC

ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora

Auteurs: Alberto Barrón-Cedeño, Giovanni Da San Martino, Shafiq Joty, Alessandro Moschitti, Fahad Al-Obaidli, Salvatore Romeo, Kateryna Tymoshenko, Antonio Uva
Publié dans: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016, Page(s) 896-903
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/S16-1138

Discovering New Socio-demographic Regional Patterns in Cities

Auteurs: Haytham Assem, Declan O'Sullivan
Publié dans: Proceedings of the 9th ACM SIGSPATIAL Workshop on Location-based Social Networks - LBSN16, 2016, Page(s) 1-9, ISBN 9781-450345866
Éditeur: ACM Press
DOI: 10.1145/3021304.3021305

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure

Auteurs: Bruno Ordozgoiti (UPM), Sandra Gómez Canaval (UPM), Alberto Mozo (UPM), Udi Margolin (Nokia), Elisha Rosensweig (Nokia), Itai Segall (Nokia)
Publié dans: 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2017
Éditeur: ESANN

Accurate Sentence Matching with Hybrid Siamese Networks

Auteurs: Massimo Nicosia, Alessandro Moschitti
Publié dans: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Page(s) 2235-2238, ISBN 9781-450349185
Éditeur: ACM Press
DOI: 10.1145/3132847.3133156

Efficient Weighted Model Integration via SMT-Based Predicate Abstraction

Auteurs: Paolo Morettin, Andrea Passerini, Roberto Sebastiani
Publié dans: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017, Page(s) 720-728, ISBN 9780-999241103
Éditeur: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2017/100

Self-Crowdsourcing Training for Relation Extraction

Auteurs: Azad Abad, Moin Nabi, Alessandro Moschitti
Publié dans: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, Page(s) 518-523
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/P17-2082

Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information

Auteurs: Massimo Nicosia, Alessandro Moschitti
Publié dans: Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017, Page(s) 260-270
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/K17-1027

A Fast Iterative Algorithm for Improved Unsupervised Feature Selection

Auteurs: Bruno Ordozgoiti, Sandra Gomez Canaval, Alberto Mozo
Publié dans: 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016, Page(s) 390-399, ISBN 978-1-5090-5473-2
Éditeur: IEEE
DOI: 10.1109/ICDM.2016.0050

Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures

Auteurs: Iryna Haponchyk, Alessandro Moschitti
Publié dans: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017, Page(s) 1018-1028
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/P17-1094

Instantaneous throughput prediction in cellular networks: Which information is needed?

Auteurs: Alassane Samba, Yann Busnel, Alberto Blanc, Philippe Dooze, Gwendal Simon
Publié dans: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017, Page(s) 624-627, ISBN 978-3-901882-89-0
Éditeur: IEEE
DOI: 10.23919/INM.2017.7987345

RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations

Auteurs: Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia, Aliaksei Severyn
Publié dans: Proceedings of ACL 2017, System Demonstrations, 2017, Page(s) 79-84
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/P17-4014

Neural Sentiment Analysis for a Real-World Application

Auteurs: Daniele Bonadiman (UNITN), Giuseppe Castellucci (Almawave), Andrea Favalli (Almawave), Raniero Romagnoli (Almawave) and Alessandro Moschitti (UNITN)
Publié dans: PROCEEDINGS OF THE FOURTH ITALIAN CONFERENCE ON COMPUTATIONAL LINGUISTICS CLIC-IT 2017, 2017, Page(s) 42-47
Éditeur: Accademia University Press

Predicting Land Use of Italian Cities using Structural Semantic Models

Auteurs: Gianni Barlacchi (UNITN), Bruno Lepri and Alessandro Moschitti (UNITN)
Publié dans: Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017), 2017
Éditeur: CEUR Workshop Proceedings (CEUR-WS.org)

Collaborative Partitioning for Coreference Resolution

Auteurs: Olga Uryupina, Alessandro Moschitti
Publié dans: Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017, Page(s) 47-57
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/K17-1007

Autonomous Crowdsourcing through Human-Machine Collaborative Learning

Auteurs: Azad Abad, Moin Nabi, Alessandro Moschitti
Publié dans: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17, 2017, Page(s) 873-876, ISBN 9781-450350228
Éditeur: ACM Press
DOI: 10.1145/3077136.3080666

Taking the best from the Crowd:Learning Question Passage Classification from Noisy Data

Auteurs: Azad Abad, Alessandro Moschitti
Publié dans: Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016, Page(s) 136-141
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/S16-2018

Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model

Auteurs: Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Publié dans: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, Page(s) 897-902
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/D17-1093

DeepAD: A Generic Framework based on Deep Learning for Time Series Anomaly Detection

Auteurs: Teodora Sandra Buda, Bora Caglayan, Haytham Assem
Publié dans: Advances in Knowledge Discovery and Data Mining. PAKDD 2018. Lecture Notes in Computer Science, 2018, Page(s) 577-588, ISBN 978-3-319-93040-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-93034-3_46

Structural Semantic Models for Automatic Analysis of Urban Areas

Auteurs: Gianni Barlacchi, Alberto Rossi, Bruno Lepri, Alessandro Moschitti
Publié dans: ECML 2017, 2017, Page(s) 279-291, ISBN 978-3-319-71272-7
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-71273-4_23

Peer reviewed articles (10)

A distributed and quiescent max-min fair algorithm for network congestion control

Auteurs: Alberto Mozo, José Luis López-Presa, Antonio Fernández Anta
Publié dans: Expert Systems with Applications, Numéro 91, 2018, Page(s) 492-512, ISSN 0957-4174
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2017.09.015

RCMC

Auteurs: Haytham Assem, Teodora Sandra Buda, Declan O’sullivan
Publié dans: ACM Transactions on Intelligent Systems and Technology, Numéro 8/5, 2017, Page(s) 1-30, ISSN 2157-6904
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3086636

LAMB-DASH: a DASH-HEVC adaptive streaming algorithm in a sharing bandwidth environment for heterogeneous contents and dynamic connections in practice

Auteurs: Angel Martin, Roberto Viola, Josu Gorostegui, Mikel Zorrilla, Julian Florez, Jon Montalban
Publié dans: Journal of Real-Time Image Processing, 2017, ISSN 1861-8200
Éditeur: Springer Verlag
DOI: 10.1007/s11554-017-0728-x

Forecasting short-term data center network traffic load with convolutional neural networks

Auteurs: Alberto Mozo, Bruno Ordozgoiti, Sandra Gómez-Canaval
Publié dans: PLOS ONE, Numéro 13/2, 2018, Page(s) e0191939, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0191939

Annotating a broader range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus

Auteurs: Olga Uryupina (UNITN), Ron Artstein, Antonella Bristot, Federica Cavicchio, Francesca Delogu, Kepa J. Rodriguez, Massimo Poesio
Publié dans: Journal of Natural Language Engineering, 2017, ISSN 1469-8110
Éditeur: Cambridge

Iterative column subset selection

Auteurs: Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Publié dans: Knowledge and Information Systems, Numéro 54/1, 2018, Page(s) 65-94, ISSN 0219-1377
Éditeur: Springer Verlag
DOI: 10.1007/s10115-017-1115-4

Machine learning as a service for enabling Internet of Things and People

Auteurs: Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O’Sullivan
Publié dans: Personal and Ubiquitous Computing, Numéro 20/6, 2016, Page(s) 899-914, ISSN 1617-4909
Éditeur: Springer Verlag
DOI: 10.1007/s00779-016-0963-3

Integrated Terahertz Communication With Reflectors for 5G Small-Cell Networks

Auteurs: Michael Taynnan Barros, Robert Mullins, Sasitharan Balasubramaniam
Publié dans: IEEE Transactions on Vehicular Technology, Numéro 66/7, 2017, Page(s) 5647-5657, ISSN 0018-9545
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TVT.2016.2639326

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection

Auteurs: Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Publié dans: 14th International Work-Conference on Artificial Neural Networks 2017 (IWANN), Numéro Lecture Notes in Computer Science, vol 10306, 2017, Page(s) 722-733, ISSN 1611-3349
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59147-6_61

SaW: Video Analysis in Social Media with Web-Based Mobile Grid Computing

Auteurs: Mikel Zorrilla, Julian Florez, Alberto Lafuente, Angel Martin, Jon Montalban, Igor G. Olaizola, Inigo Tamayo
Publié dans: IEEE Transactions on Mobile Computing, Numéro 17/6, 2018, Page(s) 1442-1455, ISSN 1536-1233
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMC.2017.2766623

Book chapters (2)

Cognitive Services Portfolio for 5G Network Management

Auteurs: 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
Publié dans: 2nd Workshop on Network Management, Quality of Service and Security for 5G Networks colocated with EUCNC 2017, 2018
Éditeur: 5G-PPP/5G-IA

5G PPP – 5G Architecture White Paper version 2

Auteurs: Teodora Sandra Buda, Bora Caglayan, Haytham Assem (IBM)
Publié dans: 2018
Éditeur: 5G-PPP/5G-IA