Sergio Consoli

Affiliations:
  • European Commission, Joint Research Centre (DG JRC), Brussels, Belgium
  • Philips Research, Eindhoven, The Netherlands (former)


According to our database1, Sergio Consoli authored at least 74 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

On csauthors.net:

Bibliography

2021
Event detection in finance using hierarchical clustering algorithms on news and tweets.
PeerJ Comput. Sci., 2021

Emotions in Macroeconomic News and their Impact on the European Bond Market.
CoRR, 2021

Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage.
IEEE Access, 2021

Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting.
IEEE Access, 2021

Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data.
Proceedings of the Variable Neighborhood Search - 8th International Conference, 2021

Explaining Sentiment from Lexicon.
Proceedings of the Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021) co-located with co-located with 18th Extended Semantic Web Conference 2021, Hersonissos, Greece, June 6th, 2021

2020
Improved metaheuristics for the quartet method of hierarchical clustering.
J. Glob. Optim., 2020

A Newborn Development Insights Mining and Recommendation System from Scientific Literature and Clinical Guidelines.
Proceedings of the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

Information Extraction From the GDELT Database to Analyse EU Sovereign Bond Markets.
Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting.
Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Using the GDELT Dataset to Analyse the Italian Sovereign Bond Market.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

SmartPHIL: 1st Workshop on Smart Personal Health Interfaces.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews.
Proceedings of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces, 2020

HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting.
Proceedings of the ICFNDS '20: The 4th International Conference on Future Networks and Distributed Systems, 2020

Fine-grained, aspect-based semantic sentiment analysis within the economic and financial domains.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics.
Proceedings of the Machine Learning Paradigms - Advances in Data Analytics, 2019

Artificial Intelligence in Clinical Health Care Applications: Viewpoint.
CoRR, 2019

An exact algorithm for the minimum quartet tree cost problem.
4OR, 2019

Big Data Financial Sentiment Analysis in the European Bond Markets.
Proceedings of the Mining Data for Financial Applications - 4th ECML PKDD Workshop, 2019

Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News.
Proceedings of the Mining Data for Financial Applications - 4th ECML PKDD Workshop, 2019

Introduction to Classification Algorithms and Their Performance Analysis Using Medical Examples.
Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019

Data Visualization in Clinical Practice.
Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019


2018
Minimum Labelling bi-Connectivity.
CoRR, 2018

On the minimum quartet tree cost problem.
CoRR, 2018

Evolutionary Construction of Convolutional Neural Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Detecting and tracking ongoing topics in psychotherapeutic conversations.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Analysis of Topic Propagation in Therapy Sessions Using Partially Labeled Latent Dirichlet Allocation.
Proceedings of the Artificial Intelligence in Health - First International Workshop, 2018

Improved Variable Neighbourhood Search Heuristic for Quartet Clustering.
Proceedings of the Variable Neighborhood Search - 6th International Conference, 2018

2017
A quartet method based on variable neighborhood search for biomedical literature extraction and clustering.
Int. Trans. Oper. Res., 2017

Comparison of metaheuristics for the <i>k</i>-labeled spanning forest problem.
Int. Trans. Oper. Res., 2017

Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines.
CoRR, 2017

Producing Linked Data for Smart Cities: The Case of Catania.
Big Data Res., 2017

Improving Support Vector Machines Performance Using Local Search.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Semantic Mining of Respiratory Health Knowledge from Scientific Literature.
Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems, 2017

Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering.
Proceedings of the Workshop on Semantic Web Solutions for Large-scale Biomedical Data Analytics co-located with 14th Extended Semantic Web Conference, 2017

2016
From hyperlinks to Semantic Web properties using Open Knowledge Extraction.
Semantic Web, 2016

Merging open knowledge extracted from text with MERGILO.
Knowl. Based Syst., 2016

A local search approach for generating directional data.
Intell. Data Anal., 2016

An Innovative, Open, Interoperable Citizen Engagement Cloud Platform for Smart Government and Users' Interaction.
CoRR, 2016

2015
A VNS-based quartet algorithm for biomedical literature clustering.
Electron. Notes Discret. Math., 2015

Variable neighbourhood search for the k-labelled spanning forest problem.
Electron. Notes Discret. Math., 2015

On the Minimum Labelling Spanning bi-Connected Subgraph problem.
CoRR, 2015

Towards an intelligent VNS heuristic for the k-labelled spanning forest problem.
CoRR, 2015

BVNS para el problema del bosque generador k-etiquetado.
CoRR, 2015

An intelligent extension of Variable Neighbourhood Search for labelling graph problems.
CoRR, 2015

Sentilo: Frame-Based Sentiment Analysis.
Cogn. Comput., 2015

Solving the minimum labelling spanning tree problem by intelligent optimization.
Appl. Soft Comput., 2015

Extracting knowledge from text using SHELDON, a Semantic Holistic framEwork for LinkeD ONtology data.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

An Urban Fault Reporting and Management Platform for Smart Cities.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

A Smart City Data Model based on Semantics Best Practice and Principles.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Semantic reconciliation of knowledge extracted from text through a novel machine reader.
Proceedings of the 8th International Conference on Knowledge Capture, 2015

Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base Population.
Proceedings of the Semantic Web Evaluation Challenges, 2015

2014
A survey on tidal analysis and forecasting methods for Tsunami detection.
CoRR, 2014

Mejora de la exploracion y la explotacion de las heuristicas constructivas para el MLSTP.
CoRR, 2014

Geolinked Open Data for the Municipality of Catania.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Semantic Web-based Sentiment Analysis.
Proceedings of the Joint Proceedings of the 1th Workshop on Semantic Sentiment Analysis (SSA2014), 2014

A Semantic Web Based Core Engine to Efficiently Perform Sentiment Analysis.
Proceedings of the Semantic Web: ESWC 2014 Satellite Events, 2014

Setting the Course of Emergency Vehicle Routing Using Geolinked Open Data for the Municipality of Catania.
Proceedings of the Semantic Web: ESWC 2014 Satellite Events, 2014

Towards emergency vehicle routing using Geolinked Open Data: the case study of the Municipality of Catania.
Proceedings of the Joint Proceedings of the 1th Workshop on Semantic Sentiment Analysis (SSA2014), 2014

SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

Uncovering the Semantics of Wikipedia Pagelinks.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

Legalo: Revealing the Semantics of Links.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

2013
Intelligent variable neighbourhood search for the minimum labelling spanning tree problem.
Electron. Notes Discret. Math., 2013

Intelligent Optimization for the Minimum Labelling Spanning Tree Problem.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

2012
Solving the minimum labelling spanning tree problem using hybrid local search.
Electron. Notes Discret. Math., 2012

The development and application of metaheuristics for problems in graph theory: a computational study.
4OR, 2012

2010
Heuristic Approaches for the Quartet Method of Hierarchical Clustering.
IEEE Trans. Knowl. Data Eng., 2010

Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem.
Nat. Comput., 2010

2009
Greedy Randomized Adaptive Search and Variable Neighbourhood Search for the minimum labelling spanning tree problem.
Eur. J. Oper. Res., 2009

Variable neighbourhood search for the minimum labelling Steiner tree problem.
Ann. Oper. Res., 2009

2007
Discrete Particle Swarm Optimization for the Minimum Labelling Steiner Tree Problem.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007


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