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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Data Management Plan

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

CogNet Online Presence

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

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

Pubblicazioni

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

Autori: 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
Pubblicato in: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016, Pagina/e 1279-1284, ISBN 978-1-5090-0223-8
Editore: IEEE
DOI: 10.1109/NOMS.2016.7503003

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

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

CogNet: A network management architecture featuring cognitive capabilities

Autori: 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
Pubblicato in: 2016 European Conference on Networks and Communications (EuCNC), 2016, Pagina/e 325-329, ISBN 978-1-5090-2893-1
Editore: IEEE
DOI: 10.1109/EuCNC.2016.7561056

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

Autori: Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Pubblicato in: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, Numero Oct-16, 2016, Pagina/e 2049-2052, ISBN 9781-450340731
Editore: ACM Press
DOI: 10.1145/2983323.2983906

Using Machine Learning to Detect Noisy Neighbors in 5G Networks

Autori: Margolin, Udi; Mozo, Alberto; Ordozgoiti, Bruno; Raz, Danny; Rosensweig, Elisha; Segall, Itai
Pubblicato in: EuCNC 2016/CoRR, Numero abs/1610.07419, 2016
Editore: ArXiv

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

Autori: Kateryna Tymoshenko, Alessandro Moschitti
Pubblicato in: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15, 2015, Pagina/e 1451-1460, ISBN 9781-450337946
Editore: ACM Press
DOI: 10.1145/2806416.2806490

Machine Learning for Autonomic Network Management in a Connected Cars Scenario

Autori: Gorka Velez, Marco Quartulli, Angel Martin, Oihana Otaegui, Haytham Assem
Pubblicato in: International Workshop on Communication Technologies for Vehicles, Numero Book Communication Technologies for Vehicles 16 May 2016, 2016, Pagina/e 111-120
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-38921-9_12

ARRAU: Linguistically-Motivated Annotation of Anaphoric Description

Autori: O. Uryupina, R. Artstein, A. Bristot, F. Cavicchio, K.J. Rodriguez, M. Poesio
Pubblicato in: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), 2016, Pagina/e 2058-2062, ISBN 978-2-9517408-9-1
Editore: European Language Resources Association (ELRA)

Agile service manager for 5G

Autori: Marouen Mechtri, Imen Grida Benyahia, Djamal Zeghlache
Pubblicato in: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016, Pagina/e 1285-1290, ISBN 978-1-5090-0223-8
Editore: 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

Autori: Kostas Tsagkaris, Imen Gridabenyahia, Andreas Georgakopoulos, Panagiotis Demestichas
Pubblicato in: NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, 2016, Pagina/e 1297-1300, ISBN 978-1-5090-0223-8
Editore: IEEE
DOI: 10.1109/NOMS.2016.7503006

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

Autori: Aliaksei Severyn, Alessandro Moschitti
Pubblicato in: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15, 2015, Pagina/e 373-382, ISBN 9781-450336215
Editore: ACM Press
DOI: 10.1145/2766462.2767738

SACRY: Syntax-based Automatic Crossword puzzle Resolution sYstem

Autori: Alessandro Moschitti, Massimo Nicosia, Gianni Barlacchi
Pubblicato in: Proceedings of ACL-IJCNLP 2015 System Demonstrations, 2015, Pagina/e 79-84
Editore: 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

Autori: M. Nicosia, A. Moschitti
Pubblicato in: Proceedings of the 7th Italian Information Retrieval Workshop (IIR), 2016
Editore: IIR

Parallelized unsupervised feature selection for large-scale network traffic analysis

Autori: Ordozgoiti, S.Gómez Canaval A.Mozo
Pubblicato in: 24th European Symposium of Artificial Neural Networks, ESANN, 2016, Pagina/e 617-622
Editore: ESANN

Deep Neural Networks for Named Entity Recognition in Italian

Autori: D. Bonadiman, A. Severyn, A. Moschitti
Pubblicato in: Proceedings of The Italian Conference on Computational Linguistics (CLiC-it), Numero Dec-15, 2015
Editore: Computational Linguistics

Distributional Neural Networks for Automatic Resolution of Crossword Puzzles

Autori: Aliaksei Severyn, Massimo Nicosia, Gianni Barlacchi, Alessandro Moschitti
Pubblicato in: 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, Pagina/e 199-204
Editore: Association for Computational Linguistics
DOI: 10.3115/v1/P15-2033

PSCEG: An unbiased Parallel Subspace Clustering algorithm using Exact Grids

Autori: Zhu, B.Ordozgoiti, A.Mozo
Pubblicato in: ESANN 2016 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning., 2016, ISBN 978-2875-87027-8
Editore: ESANN

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

Autori: Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Pubblicato in: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016, Pagina/e 1268-1278
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/N16-1152

A Practical Perspective on Latent Structured Prediction for Coreference Resolution

Autori: Iryna Haponchyk, Alessandro Moschitti
Pubblicato in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Numero Volume 2, Short Papers, 2017, Pagina/e 143-149
Editore: Association for Computational Linguistics

ADE: An ensemble approach for early Anomaly Detection

Autori: Teodora Sandra Buda, Haytham Assem, Lei Xu
Pubblicato in: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017, Pagina/e 442-448, ISBN 978-3-901882-89-0
Editore: IEEE
DOI: 10.23919/INM.2017.7987310

Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities

Autori: Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
Pubblicato in: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), 2016, Pagina/e 370-377, ISBN 978-1-5090-4459-7
Editore: IEEE
DOI: 10.1109/ICTAI.2016.0063

Spark2Fires: A New Parallel Approximate Subspace Clustering Algorithm

Autori: Bo Zhu, Alberto Mozo
Pubblicato in: East European Conference on Advances in Databases and Information Systems, 2016, Pagina/e 147-154, ISBN 978-3-319-44065-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-44066-8_16

AI for SLA Management in Programmable Networks

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

LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform

Autori: Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco J Valverde-Albacete, Manos Tsagkias, Antonio Uva, Alessandro Moschitti
Pubblicato in: Proceedings of ACL-2016 System Demonstrations, 2016, Pagina/e 157-162
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/P16-4027

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

Autori: Imen Grida Ben Yahia, Jaafar Bendriss, Alassane Samba, Philippe Dooze
Pubblicato in: 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN), 2017, Pagina/e 252-259, ISBN 978-1-5090-3672-1
Editore: IEEE
DOI: 10.1109/ICIN.2017.7899421

Effective Shared Representations with Multitask Learning for Community Question Answering

Autori: Daniele Bonadiman, Antonio Uva, Alessandro Moschitti
Pubblicato in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Numero Volume 2, Short Papers, 2017, Pagina/e 726-732
Editore: Association for Computational Linguistics

Experience Report: Log-Based Behavioral Differencing

Autori: Maayan Goldstein, Danny Raz, Itai Segall
Pubblicato in: 2017 IEEE 28th International Symposium on Software Reliability Engineering (ISSRE), 2017, Pagina/e 282-293, ISBN 978-1-5386-0941-5
Editore: IEEE
DOI: 10.1109/ISSRE.2017.14

Feature Ranking and Selection for Big Data Sets

Autori: Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Pubblicato in: East European Conference on Advances in Databases and Information Systems, Numero ADBIS 2016. Communications in Computer and Information Science, vol 637, 2016, Pagina/e 128-136
Editore: 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

Autori: Simone Filice, Danilo Croce, Alessandro Moschitti, Roberto Basili
Pubblicato in: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016, Pagina/e 1116-1123
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/S16-1172

Forecasting and anticipating SLO breaches in programmable networks

Autori: Jaafar Bendriss, Imen Grida Ben Yahia, Djamal Zeghlache
Pubblicato in: 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN), 2017, Pagina/e 127-134, ISBN 978-1-5090-3672-1
Editore: IEEE
DOI: 10.1109/ICIN.2017.7899402

An Energy Efficient Architecture for 5G Network Management

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

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

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

Discovering New Socio-demographic Regional Patterns in Cities

Autori: Haytham Assem, Declan O'Sullivan
Pubblicato in: Proceedings of the 9th ACM SIGSPATIAL Workshop on Location-based Social Networks - LBSN16, 2016, Pagina/e 1-9, ISBN 9781-450345866
Editore: ACM Press
DOI: 10.1145/3021304.3021305

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure

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

Accurate Sentence Matching with Hybrid Siamese Networks

Autori: Massimo Nicosia, Alessandro Moschitti
Pubblicato in: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17, 2017, Pagina/e 2235-2238, ISBN 9781-450349185
Editore: ACM Press
DOI: 10.1145/3132847.3133156

Efficient Weighted Model Integration via SMT-Based Predicate Abstraction

Autori: Paolo Morettin, Andrea Passerini, Roberto Sebastiani
Pubblicato in: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017, Pagina/e 720-728, ISBN 9780-999241103
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2017/100

Self-Crowdsourcing Training for Relation Extraction

Autori: Azad Abad, Moin Nabi, Alessandro Moschitti
Pubblicato in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2017, Pagina/e 518-523
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/P17-2082

Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information

Autori: Massimo Nicosia, Alessandro Moschitti
Pubblicato in: Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017, Pagina/e 260-270
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/K17-1027

A Fast Iterative Algorithm for Improved Unsupervised Feature Selection

Autori: Bruno Ordozgoiti, Sandra Gomez Canaval, Alberto Mozo
Pubblicato in: 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016, Pagina/e 390-399, ISBN 978-1-5090-5473-2
Editore: IEEE
DOI: 10.1109/ICDM.2016.0050

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

Autori: Iryna Haponchyk, Alessandro Moschitti
Pubblicato in: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017, Pagina/e 1018-1028
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/P17-1094

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

Autori: Alassane Samba, Yann Busnel, Alberto Blanc, Philippe Dooze, Gwendal Simon
Pubblicato in: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017, Pagina/e 624-627, ISBN 978-3-901882-89-0
Editore: IEEE
DOI: 10.23919/INM.2017.7987345

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

Autori: Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia, Aliaksei Severyn
Pubblicato in: Proceedings of ACL 2017, System Demonstrations, 2017, Pagina/e 79-84
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/P17-4014

Neural Sentiment Analysis for a Real-World Application

Autori: Daniele Bonadiman (UNITN), Giuseppe Castellucci (Almawave), Andrea Favalli (Almawave), Raniero Romagnoli (Almawave) and Alessandro Moschitti (UNITN)
Pubblicato in: PROCEEDINGS OF THE FOURTH ITALIAN CONFERENCE ON COMPUTATIONAL LINGUISTICS CLIC-IT 2017, 2017, Pagina/e 42-47
Editore: Accademia University Press

Predicting Land Use of Italian Cities using Structural Semantic Models

Autori: Gianni Barlacchi (UNITN), Bruno Lepri and Alessandro Moschitti (UNITN)
Pubblicato in: Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017), 2017
Editore: CEUR Workshop Proceedings (CEUR-WS.org)

Collaborative Partitioning for Coreference Resolution

Autori: Olga Uryupina, Alessandro Moschitti
Pubblicato in: Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017, Pagina/e 47-57
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/K17-1007

Autonomous Crowdsourcing through Human-Machine Collaborative Learning

Autori: Azad Abad, Moin Nabi, Alessandro Moschitti
Pubblicato in: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17, 2017, Pagina/e 873-876, ISBN 9781-450350228
Editore: ACM Press
DOI: 10.1145/3077136.3080666

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

Autori: Azad Abad, Alessandro Moschitti
Pubblicato in: Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016, Pagina/e 136-141
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/S16-2018

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

Autori: Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Pubblicato in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017, Pagina/e 897-902
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/D17-1093

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

Autori: Teodora Sandra Buda, Bora Caglayan, Haytham Assem
Pubblicato in: Advances in Knowledge Discovery and Data Mining. PAKDD 2018. Lecture Notes in Computer Science, 2018, Pagina/e 577-588, ISBN 978-3-319-93040-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-93034-3_46

Structural Semantic Models for Automatic Analysis of Urban Areas

Autori: Gianni Barlacchi, Alberto Rossi, Bruno Lepri, Alessandro Moschitti
Pubblicato in: ECML 2017, 2017, Pagina/e 279-291, ISBN 978-3-319-71272-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-71273-4_23

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

Autori: Alberto Mozo, José Luis López-Presa, Antonio Fernández Anta
Pubblicato in: Expert Systems with Applications, Numero 91, 2018, Pagina/e 492-512, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2017.09.015

RCMC

Autori: Haytham Assem, Teodora Sandra Buda, Declan O’sullivan
Pubblicato in: ACM Transactions on Intelligent Systems and Technology, Numero 8/5, 2017, Pagina/e 1-30, ISSN 2157-6904
Editore: 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

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

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

Autori: Alberto Mozo, Bruno Ordozgoiti, Sandra Gómez-Canaval
Pubblicato in: PLOS ONE, Numero 13/2, 2018, Pagina/e e0191939, ISSN 1932-6203
Editore: 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

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

Iterative column subset selection

Autori: Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Pubblicato in: Knowledge and Information Systems, Numero 54/1, 2018, Pagina/e 65-94, ISSN 0219-1377
Editore: Springer Verlag
DOI: 10.1007/s10115-017-1115-4

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

Autori: Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O’Sullivan
Pubblicato in: Personal and Ubiquitous Computing, Numero 20/6, 2016, Pagina/e 899-914, ISSN 1617-4909
Editore: Springer Verlag
DOI: 10.1007/s00779-016-0963-3

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

Autori: Michael Taynnan Barros, Robert Mullins, Sasitharan Balasubramaniam
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero 66/7, 2017, Pagina/e 5647-5657, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TVT.2016.2639326

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection

Autori: Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo
Pubblicato in: 14th International Work-Conference on Artificial Neural Networks 2017 (IWANN), Numero Lecture Notes in Computer Science, vol 10306, 2017, Pagina/e 722-733, ISSN 1611-3349
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-59147-6_61

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

Autori: Mikel Zorrilla, Julian Florez, Alberto Lafuente, Angel Martin, Jon Montalban, Igor G. Olaizola, Inigo Tamayo
Pubblicato in: IEEE Transactions on Mobile Computing, Numero 17/6, 2018, Pagina/e 1442-1455, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMC.2017.2766623

Cognitive Services Portfolio for 5G Network Management

Autori: 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
Pubblicato in: 2nd Workshop on Network Management, Quality of Service and Security for 5G Networks colocated with EUCNC 2017, 2018
Editore: 5G-PPP/5G-IA

5G PPP – 5G Architecture White Paper version 2

Autori: Teodora Sandra Buda, Bora Caglayan, Haytham Assem (IBM)
Pubblicato in: 2018
Editore: 5G-PPP/5G-IA

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