Data Access Services and Automatic Generation of Cooperative Interfaces. - Gianluca Moro; Antonio Natali; Claudio Sartori 001 (CoopIS, 1998)

On Observing and Constraining Active Systems. - Gianluca Moro; Mirko Viroli (ESAW, 2000)

On the Consistent Observation of Active Systems. - Gianluca Moro; Antonio Natali; Mirko Viroli (WOA, 2000)

Compostional Algebra for Interactive Data Access. - Gianluca Moro; Antonio Natali; Claudio Sartori 001 (Inf. Syst., 2000)

Incremental maintenance of multi-source views. - Gianluca Moro; Claudio Sartori 001 (ADC, 2001)

Enabling Business Cooperation using a Publish-Subscribe Architecture Aware of Transactions. - Gianluca Moro; Mirko Viroli (HICSS, 2001)

On observation as a coordination paradigm: an ontology and a formal framework. - Mirko Viroli; Gianluca Moro; Andrea Omicini (SAC, 2001)

Agents and Peer-to-Peer Computing: A Promising Combination of Paradigms. - Gianluca Moro; Aris M. Ouksel; Claudio Sartori 001 (AP2PC, 2002)

On the event coordination in multi-component systems. - Gianluca Moro; Antonio Natali (SEKE, 2002)

Agent-Based Distributed Data Mining: The KDEC Scheme. - Matthias Klusch; Stefano Lodi; Gianluca Moro (AgentLink, 2003)

G-Grid: A Class of Scalable and Self-Organizing Data Structures for Multi-dimensional Querying and Content Routing in P2P Networks. - Aris M. Ouksel; Gianluca Moro (AP2PC, 2003)

Issues of agent-based distributed data mining. - Matthias Klusch; Stefano Lodi; Gianluca Moro (AAMAS, 2003)

The Role of Agents in Distributed Data Mining: Issues and Benefits. - Matthias Klusch; Stefano Lodi; Gianluca Moro (IAT, 2003)

Distributed Clustering Based on Sampling Local Density Estimates. - Matthias Klusch; Stefano Lodi; Gianluca Moro (IJCAI, 2003)

Identification of Communities of Peers by Trust and Reputation. - Alessandro Agostini; Gianluca Moro (AIMSA, 2004)

Inference Attacks in Peer-to-Peer Homogeneous Distributed Data Mining. - Josenildo Costa da Silva; Matthias Klusch; Stefano Lodi; Gianluca Moro (ECAI, 2004)

Merging G-Grid P2P Systems While Preserving Their Autonomy. - Gianluca Moro; Gabriele Monti; Aris M. Ouksel (P2PKM, 2004)

Stream Clustering Based on Kernel Density Estimation. - Stefano Lodi; Gianluca Moro; Claudio Sartori 001 (ECAI, 2006)

Routing and Localization Services in Self-Organizing Wireless Ad-Hoc and Sensor Networks Using Virtual Coordinates. - Gianluca Moro; Gabriele Monti; Aris M. Ouksel (ICPS, 2006)

WR-Grid: A Scalable Cross-Layer Infrastructure for Routing, Multi-dimensional Data Management and Replication in Wireless Sensor Networks. - Gabriele Monti; Gianluca Moro; Claudio Sartori 001 (ISPA Workshops, 2006)

W-Grid: a Cross-Layer Infrastructure for Multi-Dimensional Indexing, Querying and Routing in Wireless Ad-Hoc and Sensor Networks. - Gianluca Moro; Gabriele Monti (Peer-to-Peer Computing, 2006)

Privacy-preserving agent-based distributed data clustering. - Josenildo Costa da Silva; Matthias Klusch; Stefano Lodi; Gianluca Moro (Web Intell. Agent Syst., 2006)

W*-Grid: A Robust Decentralized Cross-layer Infrastructure for Routing and Multi-Dimensional Data Management in Wireless Ad-Hoc Sensor Networks. - Gabriele Monti; Gianluca Moro; Stefano Lodi (Peer-to-Peer Computing, 2007)

Scalable multi-dimensional range queries and routing in data-centric sensor networks. - Gabriele Monti; Gianluca Moro (Infoscale, 2008)

Multidimensional Range Query and Load Balancing in Wireless Ad Hoc and Sensor Networks. - Gabriele Monti; Gianluca Moro (Peer-to-Peer Computing, 2008)

Network Attack Detection Based on Peer-to-Peer Clustering of SNMP Data. - Walter Cerroni; Gabriele Monti; Gianluca Moro; Marco Ramilli (QSHINE, 2009)

Self-organization and Local Learning Methods for Improving the Applicability and Efficiency of Data-Centric Sensor Networks. - Gabriele Monti; Gianluca Moro (QSHINE, 2009)

Distributed data clustering in multi-dimensional peer-to-peer networks. - Stefano Lodi; Gianluca Moro; Claudio Sartori 001 (ADC, 2010)

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

Peer-to-Peer Data Mining Classi ers for Decentralized Detection of Network Attacks. - Walter Cerroni; Gianluca Moro; Tommaso Pirini; Marco Ramilli (ADC, 2013)

Energy Efficiency in W-Grid Data-Centric Sensor Networks via Workload Balancing. - Alfredo Cuzzocrea; Gianluca Moro; Claudio Sartori 001 (APWeb, 2013)

Improved Recovery Management and Routing in W-Grid, a Distributed Infrastructure for Effective and Efficient Multidimensional Data Management over Wireless Ad-Hoc Sensor Networks. - Alfredo Cuzzocrea; Gianluca Moro; Claudio Sartori 001 (Globe, 2014)

Discovering New Gene Functionalities from Random Perturbations of Known Gene Ontological Annotations. - Giacomo Domeniconi; Marco Masseroli; Gianluca Moro; Pietro Pinoli (KDIR, 2014)

Random Perturbations of Term Weighted Gene Ontology Annotations for Discovering Gene Unknown Functionalities. - Giacomo Domeniconi; Marco Masseroli; Gianluca Moro; Pietro Pinoli (IC3K (Selected Papers), 2014)

Cross-domain Text Classification through Iterative Refining of Target Categories Representations. - Giacomo Domeniconi; Gianluca Moro; Roberto Pasolini; Claudio Sartori 001 (KDIR, 2014)

Iterative Refining of Category Profiles for Nearest Centroid Cross-Domain Text Classification. - Giacomo Domeniconi; Gianluca Moro; Roberto Pasolini; Claudio Sartori 001 (IC3K (Selected Papers), 2014)

Network Traffic Load Balancing in Hierarchical Peer-to-Peer Systems. - Gianluca Moro; Tommaso Pirini; Claudio Sartori 001 (3PGCIC, 2015)

A Comparison of Term Weighting Schemes for Text Classification and Sentiment Analysis with a Supervised Variant of tf.idf. - Giacomo Domeniconi; Gianluca Moro; Roberto Pasolini; Claudio Sartori 001 (DATA (Revised Selected Papers), 2015)

A Study on Term Weighting for Text Categorization: A Novel Supervised Variant of tf.idf. - Giacomo Domeniconi; Gianluca Moro; Roberto Pasolini; Claudio Sartori 001 (DATA, 2015)

Markov Chain based Method for In-Domain and Cross-Domain Sentiment Classification. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (KDIR, 2015)

Cross-Domain Sentiment Classification via Polarity-Driven State Transitions in a Markov Model. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (IC3K, 2015)

GOTA: GO term annotation of biomedical literature. - Pietro di Lena; Giacomo Domeniconi; Luciano Margara; Gianluca Moro (BMC Bioinform., 2015)

Decentralized detection of network attacks through P2P data clustering of SNMP data. - Walter Cerroni; Gianluca Moro; Roberto Pasolini; Marco Ramilli (Comput. Secur., 2015)

A Novel Method for Unsupervised and Supervised Conversational Message Thread Detection. - Giacomo Domeniconi; Konstantinos Semertzidis; Vanessa López; Elizabeth M. Daly; Spyros Kotoulas; Gianluca Moro (DATA, 2016)

Identifying Conversational Message Threads by Integrating Classification and Data Clustering. - Giacomo Domeniconi; Konstantinos Semertzidis; Gianluca Moro; Vanessa López; Spyros Kotoulas; Elizabeth M. Daly (DATA (Revised Selected Papers), 2016)

Job Recommendation from Semantic Similarity of LinkedIn Users' Skills. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Karin Pasini; Roberto Pasolini (ICPRAM, 2016)

Cross-organism learning method to discover new gene functionalities. - Giacomo Domeniconi; Marco Masseroli; Gianluca Moro; Pietro Pinoli (Comput. Methods Programs Biomed., 2016)

On Deep Learning in Cross-Domain Sentiment Classification. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (KDIR, 2017)

Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets. - Giacomo Domeniconi; Gianluca Moro; Andrea Pagliarani; Roberto Pasolini (KDIR, 2017)

Personalized Web Search via Query Expansion based on User's Local Hierarchically-Organized Files. - Gianluca Moro; Roberto Pasolini; Claudio Sartori 001 (KDIR, 2017)

Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification. - Gianluca Moro; Roberto Pasolini; Giacomo Domeniconi; Andrea Pagliarani; Andrea Roli (IC3K, 2017)

Transfer Learning in Sentiment Classification with Deep Neural Networks. - Andrea Pagliarani; Gianluca Moro; Roberto Pasolini; Giacomo Domeniconi (IC3K, 2017)

Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms. - Cesare Bandirali; Stefano Lodi; Gianluca Moro; Andrea Pagliarani; Claudio Sartori 001 (AINA Workshops, 2018)

Dow Jones Trading with Deep Learning: The Unreasonable Effectiveness of Recurrent Neural Networks. - Mirco Fabbri; Gianluca Moro (DATA, 2018)

Deep Neural Trading: Comparative Study with Feed Forward, Recurrent and Autoencoder Networks. - Gianluca Moro; Roberto Pasolini; Giacomo Domeniconi; Vittorio Ghini (DATA (Revised Selected Papers), 2018)

Cross-domain & In-domain Sentiment Analysis with Memory-based Deep Neural Networks. - Gianluca Moro; Andrea Pagliarani; Roberto Pasolini; Claudio Sartori 001 (KDIR, 2018)

LOS/NLOS Wireless Channel Identification based on Data Mining of UWB Signals. - Gianluca Moro; Roberto Pasolini; Davide Dardari (DATA, 2019)

Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge. - Giacomo Frisoni; Gianluca Moro (DATA (Revised Selected Papers), 2020)

Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (DATA, 2020)

Unsupervised Descriptive Text Mining for Knowledge Graph Learning. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (KDIR, 2020)

Towards Rare Disease Knowledge Graph Learning from Social Posts of Patients. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (RIIFORUM, 2020)

A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave. - Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro (IEEE Access, 2021)

Gene function finding through cross-organism ensemble learning. - Gianluca Moro; Marco Masseroli (BioData Min., 2021)

Efficient Self-Supervised Metric Information Retrieval: A Bibliography Based Method Applied to COVID Literature. - Gianluca Moro; Lorenzo Valgimigli (Sensors, 2021)

Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes. - Gianluca Moro; Luca Ragazzi (AAAI, 2022)

Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature. - Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli; Davide Freddi (ACL (1), 2022)

NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation. - Giacomo Frisoni; Antonella Carbonaro; Gianluca Moro; Andrea Zammarchi; Marco Avagnano (COLING, 2022)

Text-to-Text Extraction and Verbalization of Biomedical Event Graphs. - Giacomo Frisoni; Gianluca Moro; Lorenzo Balzani (COLING, 2022)

Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers. - Giacomo Frisoni; Paolo Italiani; Francesco Boschi; Gianluca Moro (DATA, 2022)

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature. - Giacomo Frisoni; Miki Mizutani; Gianluca Moro; Lorenzo Valgimigli (EMNLP, 2022)

Deep Vision-Language Model for Efficient Multi-modal Similarity Search in Fashion Retrieval. - Gianluca Moro; Stefano Salvatori (SISAP, 2022)

Self-supervised Information Retrieval Trained from Self-generated Sets of Queries and Relevant Documents. - Gianluca Moro; Lorenzo Valgimigli; Alex Rossi; Cristiano Casadei; Andrea Montefiori (SISAP, 2022)

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature. - Giacomo Frisoni; Gianluca Moro; Giulio Carlassare; Antonella Carbonaro (Sensors, 2022)

Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models. - Gianluca Moro; Federico Di Luca; Davide Dardari; Giacomo Frisoni (Sensors, 2022)

Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards. - Giacomo Frisoni; Paolo Italiani; Stefano Salvatori; Gianluca Moro (AAAI, 2023)

Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy. - Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli (AAAI, 2023)

Graph-Based Abstractive Summarization of Extracted Essential Knowledge for Low-Resource Scenarios. - Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli (ECAI, 2023)

Retrieve-and-Rank End-to-End Summarization of Biomedical Studies. - Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli; Lorenzo Molfetta (SISAP, 2023)

Align-then-abstract representation learning for low-resource summarization. - Gianluca Moro; Luca Ragazzi (Neurocomputing, 2023)

Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes. - Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli; Giacomo Frisoni; Claudio Sartori 001; Gustavo Marfia (Sensors, 2023)

Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval. - Gianluca Moro; Stefano Salvatori; Giacomo Frisoni (Neurocomputing, 2023)

Graph-Enhanced Biomedical Abstractive Summarization Via Factual Evidence Extraction. - Giacomo Frisoni; Paolo Italiani; Gianluca Moro; Ilaria Bartolini; Marco Antonio Boschetti; Antonella Carbonaro (SN Comput. Sci., 2023)

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. - Giacomo Frisoni; Alessio Cocchieri; Alex Presepi; Gianluca Moro; Zaiqiao Meng (ACL (1), 2024)

What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization. - Luca Ragazzi; Paolo Italiani; Gianluca Moro; Mattia Panni (ACL (Findings), 2024)

Off-the-shelf Data Analytics on Serverless. - Michal Wawrzoniak; Gianluca Moro; Rodrigo Bruno; Ana Klimovic; Gustavo Alonso (CIDR, 2024)

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. - Zaiqiao Meng; Shangsong Liang; Xin Xin 003; Gianluca Moro; Evangelos Kanoulas; Emine Yilmaz (ECIR (5), 2024)

Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data. - Jean-Flavien Bussotti; Luca Ragazzi; Giacomo Frisoni; Gianluca Moro; Paolo Papotti (EMNLP, 2024)

Revelio: Interpretable Long-Form Question Answering. - Gianluca Moro; Luca Ragazzi; Lorenzo Valgimigli; Fabian Vincenzi; Davide Freddi (Tiny Papers @ ICLR, 2024)

Unveiling Computer Chess Evolution: Can Machine Learning Detect Historical Trends? - Andrea Borghesi; Paolo Ciancarini; Angelo Di Iorio; Gianluca Moro (ICEC, 2024)

Refining Triplet Sampling for Improved Self-Supervised Representation Learning. - Manuel Goyo; Giacomo Frisoni; Gianluca Moro; Claudio Sartori 001 (SEBD, 2024)

[Emoji] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances. - Paolo Italiani; Giacomo Frisoni; Gianluca Moro; Antonella Carbonaro; Claudio Sartori 001 (Neurocomputing, 2024)

Multi-language transfer learning for low-resource legal case summarization. - Gianluca Moro; Nicola Piscaglia; Luca Ragazzi; Paolo Italiani (Artif. Intell. Law, 2024)

ZeroNER: Fueling Zero-Shot Named Entity Recognition via Entity Type Descriptions. - Alessio Cocchieri; Marcos Martínez Galindo; Giacomo Frisoni; Gianluca Moro; Claudio Sartori 001; Giuseppe Tagliavini (ACL (Findings), 2025)

"What do you call a dog that is incontrovertibly true? Dogma": Testing LLM Generalization through Humor. - Alessio Cocchieri; Luca Ragazzi; Paolo Italiani; Giuseppe Tagliavini; Gianluca Moro (ACL (1), 2025)

KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. - Zihan Wang; Jinyuan Fang; Giacomo Frisoni; Zhuyun Dai; Zaiqiao Meng; Gianluca Moro; Emine Yilmaz (ECIR (5), 2025)

OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description. - Alessio Cocchieri; Giacomo Frisoni; Marcos Martínez Galindo; Gianluca Moro; Giuseppe Tagliavini; Francesco Candoli (NAACL (Findings), 2025)