Gianluca Moro

Orcid: 0000-0002-3663-7877

Affiliations:
  • University of Bologna, Italy


According to our database1, Gianluca Moro authored at least 90 papers between 1998 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multi-language transfer learning for low-resource legal case summarization.
Artif. Intell. Law, December, 2024

[Emoji] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances.
Neurocomputing, March, 2024

Refining Triplet Sampling for Improved Self-Supervised Representation Learning.
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Revelio: Interpretable Long-Form Question Answering.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2024

Off-the-shelf Data Analytics on Serverless.
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Graph-Enhanced Biomedical Abstractive Summarization Via Factual Evidence Extraction.
SN Comput. Sci., September, 2023

Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval.
Neurocomputing, June, 2023

Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes.
Sensors, April, 2023

Align-then-abstract representation learning for low-resource summarization.
Neurocomputing, 2023

Retrieve-and-Rank End-to-End Summarization of Biomedical Studies.
Proceedings of the Similarity Search and Applications - 16th International Conference, 2023

Graph-Based Abstractive Summarization of Extracted Essential Knowledge for Low-Resource Scenarios.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models.
Sensors, 2022

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature.
Sensors, 2022

Self-supervised Information Retrieval Trained from Self-generated Sets of Queries and Relevant Documents.
Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

Deep Vision-Language Model for Efficient Multi-modal Similarity Search in Fashion Retrieval.
Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers.
Proceedings of the 11th International Conference on Data Science, 2022

Text-to-Text Extraction and Verbalization of Biomedical Event Graphs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID Literature.
Sensors, 2021

Gene function finding through cross-organism ensemble learning.
BioData Min., 2021

A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave.
IEEE Access, 2021

2020
Towards Rare Disease Knowledge Graph Learning from Social Posts of Patients.
Proceedings of the Research and Innovation Forum 2020, 2020

Unsupervised Descriptive Text Mining for Knowledge Graph Learning.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining.
Proceedings of the 9th International Conference on Data Science, 2020

Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge.
Proceedings of the Data Management Technologies and Applications, 2020

2019
LOS/NLOS Wireless Channel Identification based on Data Mining of UWB Signals.
Proceedings of the 8th International Conference on Data Science, 2019

2018
Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks.
Proceedings of the Data Management Technologies and Applications, 2018

Dow Jones Trading with Deep Learning: The Unreasonable Effectiveness of Recurrent Neural Networks.
Proceedings of the 7th International Conference on Data Science, 2018

Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms.
Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018

2017
Transfer Learning in Sentiment Classification with Deep Neural Networks.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Personalized Web Search via Query Expansion based on User's Local Hierarchically-Organized Files.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

On Deep Learning in Cross-Domain Sentiment Classification.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

2016
Cross-organism learning method to discover new gene functionalities.
Comput. Methods Programs Biomed., 2016

Job Recommendation from Semantic Similarity of LinkedIn Users' Skills.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Identifying Conversational Message Threads by Integrating Classification and Data Clustering.
Proceedings of the Data Management Technologies and Applications, 2016

A Novel Method for Unsupervised and Supervised Conversational Message Thread Detection.
Proceedings of the DATA 2016, 2016

2015
Decentralized detection of network attacks through P2P data clustering of SNMP data.
Comput. Secur., 2015

GOTA: GO term annotation of biomedical literature.
BMC Bioinform., 2015

Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015

Markov Chain based Method for In-Domain and Cross-Domain Sentiment Classification.
Proceedings of the KDIR 2015, 2015

A Study on Term Weighting for Text Categorization: A Novel Supervised Variant of tf.idf.
Proceedings of the DATA 2015, 2015

A Comparison of Term Weighting Schemes for Text Classification and Sentiment Analysis with a Supervised Variant of tf.idf.
Proceedings of the Data Management Technologies and Applications, 2015

Network Traffic Load Balancing in Hierarchical Peer-to-Peer Systems.
Proceedings of the 10th International Conference on P2P, 2015

2014
Iterative Refining of Category Profiles for Nearest Centroid Cross-Domain Text Classification.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

Cross-domain Text Classification through Iterative Refining of Target Categories Representations.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

Random Perturbations of Term Weighted Gene Ontology Annotations for Discovering Gene Unknown Functionalities.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

Discovering New Gene Functionalities from Random Perturbations of Known Gene Ontological Annotations.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

Improved Recovery Management and Routing in W-Grid, a Distributed Infrastructure for Effective and Efficient Multidimensional Data Management over Wireless Ad-Hoc Sensor Networks.
Proceedings of the Data Management in Cloud, Grid and P2P Systems, 2014

2013
Energy Efficiency in W-Grid Data-Centric Sensor Networks via Workload Balancing.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Peer-to-Peer Data Mining Classi ers for Decentralized Detection of Network Attacks.
Proceedings of the Twenty-Fourth Australasian Database Conference, 2013

2012
W-Grid: A scalable and efficient self-organizing infrastructure for multi-dimensional data management, querying and routing in wireless data-centric sensor networks.
J. Netw. Comput. Appl., 2012

2010
Distributed data clustering in multi-dimensional peer-to-peer networks.
Proceedings of the Database Technologies 2010, 2010

2009
Self-organization and Local Learning Methods for Improving the Applicability and Efficiency of Data-Centric Sensor Networks.
Proceedings of the Quality of Service in Heterogeneous Networks, 2009

Network Attack Detection Based on Peer-to-Peer Clustering of SNMP Data.
Proceedings of the Quality of Service in Heterogeneous Networks, 2009

2008
Multidimensional Range Query and Load Balancing in Wireless Ad Hoc and Sensor Networks.
Proceedings of the Proceedings P2P'08, 2008

Scalable multi-dimensional range queries and routing in data-centric sensor networks.
Proceedings of the 3rd International ICST Conference on Scalable Information Systems, 2008

2007
W*-Grid: A Robust Decentralized Cross-layer Infrastructure for Routing and Multi-Dimensional Data Management in Wireless Ad-Hoc Sensor Networks.
Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

2006
Privacy-preserving agent-based distributed data clustering.
Web Intell. Agent Syst., 2006

W-Grid: a Cross-Layer Infrastructure for Multi-Dimensional Indexing, Querying and Routing in Wireless Ad-Hoc and Sensor Networks.
Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing (P2P 2006), 2006

W<sup><i>R</i></sup>-Grid: A Scalable Cross-Layer Infrastructure for Routing, Multi-dimensional Data Management and Replication in Wireless Sensor Networks.
Proceedings of the Frontiers of High Performance Computing and Networking, 2006

Routing and Localization Services in Self-Organizing Wireless Ad-Hoc and Sensor Networks Using Virtual Coordinates.
Proceedings of the ACS/IEEE International Conference on Pervasive Services 2006, 2006

Stream Clustering Based on Kernel Density Estimation.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2004
Merging G-Grid P2P Systems While Preserving Their Autonomy.
Proceedings of the MobiQuitous'04 Workshop on Peer-to-Peer Knowledge Management (P2PKM 2004), 2004

Inference Attacks in Peer-to-Peer Homogeneous Distributed Data Mining.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Identification of Communities of Peers by Trust and Reputation.
Proceedings of the Artificial Intelligence: Methodology, 2004

2003
Distributed Clustering Based on Sampling Local Density Estimates.
Proceedings of the IJCAI-03, 2003

The Role of Agents in Distributed Data Mining: Issues and Benefits.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

Issues of agent-based distributed data mining.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

G-Grid: A Class of Scalable and Self-Organizing Data Structures for Multi-dimensional Querying and Content Routing in P2P Networks.
Proceedings of the Agents and Peer-to-Peer Computing, Second International Workshop, 2003

Agent-Based Distributed Data Mining: The KDEC Scheme.
Proceedings of the Intelligent Information Agents - The AgentLink Perspective, 2003

2002
On the event coordination in multi-component systems.
Proceedings of the 14th international conference on Software engineering and knowledge engineering, 2002

Agents and Peer-to-Peer Computing: A Promising Combination of Paradigms.
Proceedings of the Agents and Peer-to-Peer Computing, First International Workshop, 2002

2001
On observation as a coordination paradigm: an ontology and a formal framework.
Proceedings of the 2001 ACM Symposium on Applied Computing (SAC), 2001

Enabling Business Cooperation using a Publish-Subscribe Architecture Aware of Transactions.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

Incremental maintenance of multi-source views.
Proceedings of the Twelfth Australasian Database Conference, 2001

2000
Compostional Algebra for Interactive Data Access.
Inf. Syst., 2000

On the Consistent Observation of Active Systems.
Proceedings of the WOA 2000: Dagli Oggetti agli Agenti. 1st AI*IA/TABOO Joint Workshop "From Objects to Agents": Evolutive Trends of Software Systems, 2000

On Observing and Constraining Active Systems.
Proceedings of the Engineering Societies in the Agent World, First International Workshop, 2000

1998
Data Access Services and Automatic Generation of Cooperative Interfaces.
Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems, 1998


  Loading...