Marco Fisichella

Orcid: 0000-0002-6894-1101

According to our database1, Marco Fisichella authored at least 64 papers between 2010 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2024
A Trustworthy Approach to Classify and Analyze Epidemic-Related Information From Microblogs.
IEEE Trans. Comput. Soc. Syst., October, 2024

Open benchmark for filtering techniques in entity resolution.
VLDB J., September, 2024

LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios.
Mach. Learn., September, 2024

Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization.
Big Data Cogn. Comput., February, 2024

Does a language model "understand" high school math? A survey of deep learning based word problem solvers.
WIREs Data. Mining. Knowl. Discov., 2024

Multi-Vehicle Multi-Camera Tracking With Graph-Based Tracklet Features.
IEEE Trans. Multim., 2024

Corrigendum to "Disarming visualization-based approaches in malware detection systems" [Computers & Security Volume 126, March 2023, 103062].
Comput. Secur., 2024

TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CollabGraph: A Graph-Based Collaborative Search Summary Visualization.
IEEE Trans. Learn. Technol., June, 2023

Disarming visualization-based approaches in malware detection systems.
Comput. Secur., March, 2023

Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case.
Big Data Cogn. Comput., March, 2023

FAC-fed: Federated adaptation for fairness and concept drift aware stream classification.
Mach. Learn., 2023

Towards sentiment and Temporal Aided Stance Detection of climate change tweets.
Inf. Process. Manag., 2023

A Review of the Role of Causality in Developing Trustworthy AI Systems.
CoRR, 2023

A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets.
Proceedings of the ACM Web Conference 2023, 2023

FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change Tweets.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Benchmarking Filtering Techniques for Entity Resolution.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Toxicity, Morality, and Speech Act Guided Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Using ChatGPT to Enhance Students' Behavior in Social Media via the Moral Foundation Theory (short paper).
Proceedings of the First International Workshop on High-performance Artificial Intelligence Systems in Education co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Forex Market Movements.
Dataset, May, 2022

Partially-federated learning: A new approach to achieving privacy and effectiveness.
Inf. Sci., 2022

Siamese coding network and pair similarity prediction for near-duplicate image detection.
Int. J. Multim. Inf. Retr., 2022

Discrimination and Class Imbalance Aware Online Naive Bayes.
CoRR, 2022

Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers.
CoRR, 2022

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition.
CoRR, 2022

How to reduce the search space of Entity Resolution: with Blocking or Nearest Neighbor search?
CoRR, 2022

FLY-SMOTE: Re-Balancing the Non-IID IoT Edge Devices Data in Federated Learning System.
IEEE Access, 2022

How Learnweb Can Support Science Education Research on Climate Change in Social Media.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022

A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values.
AII, 2022

2021
Unified approach to retrospective event detection for event- based epidemic intelligence.
Int. J. Digit. Libr., 2021

Event Detection in Wikipedia Edit History Improved by Documents Web Based Automatic Assessment.
Big Data Cogn. Comput., 2021

Can Deep Learning Improve Technical Analysis of Forex Data to Predict Future Price Movements?
IEEE Access, 2021

2017
JustEvents: A Crowdsourced Corpus for Event Validation with Strict Temporal Constraints.
Proceedings of the Advances in Information Retrieval, 2017

2016
Where the Event Lies: Predicting Event Occurrence in Textual Documents.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Should I Care about Your Opinion? Detection of Opinion Interestingness and Dynamics in Social Media.
Future Internet, 2014

WikipEvent: Leveraging Wikipedia Edit History for Event Detection.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Information Evolution in Wikipedia.
Proceedings of The International Symposium on Open Collaboration, 2014

WikipEvent: Temporal Event Data for the Semantic Web.
Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Towards an Entity-Based Automatic Event Validation.
Proceedings of the Advances in Information Retrieval, 2014

Predicting Pair Similarities for Near-Duplicate Detection in High Dimensional Spaces.
Proceedings of the Database and Expert Systems Applications, 2014

2013
OpenScout: harvesting business and management learning objects from the web of data.
Proceedings of the 22nd International World Wide Web Conference, 2013

Automatic classification of documents in cold-start scenarios.
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, 2013

Automatic Competence Leveling of Learning Objects.
Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

2012
Clustering information entities based on statistical methods.
PhD thesis, 2012

User profile based activities in flexible processes.
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

Improving Flexibility of Workflow Management Systems via a Policy-enhanced Collaborative Framework.
Proceedings of the WEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18, 2012

Polynomial Asymptotic Complexity of Multiple-Objective OLAP Data Cube Compression.
Proceedings of the Advances on Computational Intelligence, 2012

Towards Automatic Competence Assignment of Learning Objects.
Proceedings of the 21st Century Learning for 21st Century Skills, 2012

2011
Detecting Health Events on the Social Web to Enable Epidemic Intelligence.
Proceedings of the String Processing and Information Retrieval, 2011

Discovering semantic Web services via advanced graph-based matching.
Proceedings of the IEEE International Conference on Systems, 2011

Process flexibility through customizable activities: A mashup-based approach.
Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011

A flexible graph-based approach for matching composite semantic web services.
Proceedings of the 2011 EDBT/ICDT Workshop on Linked Web Data Management, 2011

Unsupervised Auto-tagging for Learning Object Enrichment.
Proceedings of the Towards Ubiquitous Learning, 2011

Graph-Based Matching of Composite OWL-S Services.
Proceedings of the Database Systems for Adanced Applications, 2011

2010
Managing Adaptivity in Web Collaborative Processes Using Policies and User Profiles.
Proceedings of the Current Trends in Web Engineering, 2010

Detecting Public Health Indicators from the Web for Epidemic Intelligence.
Proceedings of the Electronic Healthcare - Third International Conference, 2010

Skill-Based Scouting of Open Management Content.
Proceedings of the Sustaining TEL: From Innovation to Learning and Practice, 2010

Efficient Incremental Near Duplicate Detection Based on Locality Sensitive Hashing.
Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

Unsupervised public health event detection for epidemic intelligence.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010


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