Unsupervised public health event detection for epidemic intelligence. - Marco Fisichella; Avaré Stewart; Kerstin Denecke; Wolfgang Nejdl (CIKM, 2010)

Efficient Incremental Near Duplicate Detection Based on Locality Sensitive Hashing. - Marco Fisichella; Fan Deng 004; Wolfgang Nejdl (DEXA (1), 2010)

Skill-Based Scouting of Open Management Content. - Katja Niemann; Uta Schwertel; Marco Kalz; Alexander Mikroyannidis; Marco Fisichella; Martin Friedrich; Michele Dicerto; Kyung-Hun Ha; Philipp Holtkamp; Ricardo Kawase (EC-TEL, 2010)

Detecting Public Health Indicators from the Web for Epidemic Intelligence. - Avaré Stewart; Marco Fisichella; Kerstin Denecke (eHealth, 2010)

Managing Adaptivity in Web Collaborative Processes Using Policies and User Profiles. - Juri Luca De Coi; Marco Fisichella; Maristella Matera (ICWE Workshops, 2010)

Graph-Based Matching of Composite OWL-S Services. - Alfredo Cuzzocrea; Juri Luca De Coi; Marco Fisichella; Dimitrios Skoutas 001 (DASFAA Workshops, 2011)

Unsupervised Auto-tagging for Learning Object Enrichment. - Ernesto Diaz-Aviles; Marco Fisichella; Ricardo Kawase; Wolfgang Nejdl; Avaré Stewart (EC-TEL, 2011)

A flexible graph-based approach for matching composite semantic web services. - Alfredo Cuzzocrea; Marco Fisichella (EDBT/ICDT Workshop on Linked Web Data Management, 2011)

Process flexibility through customizable activities: A mashup-based approach. - Marco Fisichella; Maristella Matera (ICDE Workshops, 2011)

Discovering semantic Web services via advanced graph-based matching. - Alfredo Cuzzocrea; Marco Fisichella (SMC, 2011)

Detecting Health Events on the Social Web to Enable Epidemic Intelligence. - Marco Fisichella; Avaré Stewart; Alfredo Cuzzocrea; Kerstin Denecke (SPIRE, 2011)

Towards Automatic Competence Assignment of Learning Objects. - Ricardo Kawase; Patrick Siehndel; Bernardo Pereira Nunes; Marco Fisichella; Wolfgang Nejdl (EC-TEL, 2012)

Polynomial Asymptotic Complexity of Multiple-Objective OLAP Data Cube Compression. - Alfredo Cuzzocrea; Marco Fisichella (IPMU (2), 2012)

Improving Flexibility of Workflow Management Systems via a Policy-enhanced Collaborative Framework. - Alfredo Cuzzocrea; Marco Fisichella (WEBIST, 2012)

User profile based activities in flexible processes. - Marco Fisichella; Juri Luca De Coi; Ricardo Kawase; Maristella Matera (WIMS, 2012)

Clustering information entities based on statistical methods. - Marco Fisichella (2012)

Automatic Competence Leveling of Learning Objects. - Ricardo Kawase; Patrick Siehndel; Bernardo Pereira Nunes; Marco Fisichella (ICALT, 2013)

Automatic classification of documents in cold-start scenarios. - Ricardo Kawase; Marco Fisichella; Bernardo Pereira Nunes; Kyung-Hun Ha; Markus Bick (WIMS, 2013)

OpenScout: harvesting business and management learning objects from the web of data. - Ricardo Kawase; Marco Fisichella; Katja Niemann; Vassilis Pitsilis; Aristides Vidalis; Philipp Holtkamp; Bernardo Pereira Nunes (WWW (Companion Volume), 2013)

Predicting Pair Similarities for Near-Duplicate Detection in High Dimensional Spaces. - Marco Fisichella; Andrea Ceroni; Fan Deng 004; Wolfgang Nejdl (DEXA (2), 2014)

Towards an Entity-Based Automatic Event Validation. - Andrea Ceroni; Marco Fisichella (ECIR, 2014)

WikipEvent: Temporal Event Data for the Semantic Web. - Ujwal Gadiraju; Kaweh Djafari Naini; Andrea Ceroni; Mihai Georgescu; Dang Duc Pham; Marco Fisichella (ISWC (Posters & Demos), 2014)

Information Evolution in Wikipedia. - Andrea Ceroni; Mihai Georgescu; Ujwal Gadiraju; Kaweh Djafari Naini; Marco Fisichella (OpenSym, 2014)

WikipEvent: Leveraging Wikipedia Edit History for Event Detection. - Tuan Tran 002; Andrea Ceroni; Mihai Georgescu; Kaweh Djafari Naini; Marco Fisichella (WISE (2), 2014)

Should I Care about Your Opinion? Detection of Opinion Interestingness and Dynamics in Social Media. - Diana Maynard; Gerhard Gossen; Adam Funk; Marco Fisichella (Future Internet, 2014)

Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text. - Andrea Ceroni; Ujwal Kumar Gadiraju; Marco Fisichella (CIKM, 2015)

Where the Event Lies: Predicting Event Occurrence in Textual Documents. - Andrea Ceroni; Ujwal Gadiraju; Jan Matschke; Simon Wingert; Marco Fisichella (SIGIR, 2016)

JustEvents: A Crowdsourced Corpus for Event Validation with Strict Temporal Constraints. - Andrea Ceroni; Ujwal Gadiraju; Marco Fisichella (ECIR, 2017)

Can Deep Learning Improve Technical Analysis of Forex Data to Predict Future Price Movements? - Marco Fisichella; Filippo Garolla (IEEE Access, 2021)

Event Detection in Wikipedia Edit History Improved by Documents Web Based Automatic Assessment. - Marco Fisichella; Andrea Ceroni (Big Data Cogn. Comput., 2021)

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

A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values. - Steffen Brauer; Marco Fisichella; Gianluca Lax; Carlo Romeo; Antonia Russo (AII, 2022)

How Learnweb Can Support Science Education Research on Climate Change in Social Media. - Apoorva Upadhyaya; Catharina Pfeiffer; Oleh Astappiev; Ivana Marenzi; Stefanie Lenzer; Andreas Nehring; Marco Fisichella (MIS4TEL, 2022)

FLY-SMOTE: Re-Balancing the Non-IID IoT Edge Devices Data in Federated Learning System. - Raneen Younis; Marco Fisichella (IEEE Access, 2022)

How to reduce the search space of Entity Resolution: with Blocking or Nearest Neighbor search? - George Papadakis 001; Marco Fisichella; Franziska Schoger; George Mandilaras; Nikolaus Augsten; Wolfgang Nejdl (CoRR, 2022)

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. - Yi Chang 004; Sofiane Laridi; Zhao Ren; Gregory Palmer; Björn W. Schuller; Marco Fisichella (CoRR, 2022)

Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers. - Sowmya S. Sundaram; Sairam Gurajada; Marco Fisichella; Deepak P 001; Savitha Sam Abraham (CoRR, 2022)

Discrimination and Class Imbalance Aware Online Naive Bayes. - Maryam Badar; Marco Fisichella; Vasileios Iosifidis; Wolfgang Nejdl (CoRR, 2022)

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

Partially-federated learning: A new approach to achieving privacy and effectiveness. - Marco Fisichella; Gianluca Lax; Antonia Russo (Inf. Sci., 2022)

Forex Market Movements. - Marco Fisichella (IEEE DataPort, 2022)

Using ChatGPT to Enhance Students' Behavior in Social Media via the Moral Foundation Theory (short paper). - Daniele Schicchi; Apoorva Upadhyaya; Marco Fisichella; Davide Taibi 002 (AIxEDU@AI*IA, 2023)

Toxicity, Morality, and Speech Act Guided Stance Detection. - Apoorva Upadhyaya; Marco Fisichella; Wolfgang Nejdl (EMNLP (Findings), 2023)

Benchmarking Filtering Techniques for Entity Resolution. - George Papadakis 001; Marco Fisichella; Franziska Schoger; George Mandilaras; Nikolaus Augsten; Wolfgang Nejdl (ICDE, 2023)

A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change Tweets. - Apoorva Upadhyaya; Marco Fisichella; Wolfgang Nejdl (ICWSM, 2023)

Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data. - Apoorva Upadhyaya; Marco Fisichella; Wolfgang Nejdl (IJCAI, 2023)

FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. - Raneen Younis; Zahra Ahmadi; Abdul Hakmeh; Marco Fisichella (KDD, 2023)

A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets. - Apoorva Upadhyaya; Marco Fisichella; Wolfgang Nejdl (WWW, 2023)

A Review of the Role of Causality in Developing Trustworthy AI Systems. - Niloy Ganguly; Dren Fazlija; Maryam Badar; Marco Fisichella; Sandipan Sikdar; Johanna Schrader; Jonas Wallat; Koustav Rudra; Manolis Koubarakis; Gourab K. Patro; Wadhah Zai El Amri; Wolfgang Nejdl (CoRR, 2023)

Towards sentiment and Temporal Aided Stance Detection of climate change tweets. - Apoorva Upadhyaya; Marco Fisichella; Wolfgang Nejdl (Inf. Process. Manag., 2023)

FAC-fed: Federated adaptation for fairness and concept drift aware stream classification. - Maryam Badar; Wolfgang Nejdl; Marco Fisichella (Mach. Learn., 2023)

Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case. - Gurtaj Singh; Vincenzo Violi; Marco Fisichella (Big Data Cogn. Comput., 2023)

Disarming visualization-based approaches in malware detection systems. - Lara Saidia Fascì; Marco Fisichella; Gianluca Lax; Chenyin Qian (Comput. Secur., 2023)

CollabGraph: A Graph-Based Collaborative Search Summary Visualization. - Eleni Ilkou; Tetiana Tolmachova; Marco Fisichella; Davide Taibi 002 (IEEE Trans. Learn. Technol., 2023)

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. - Maryam Badar; Sandipan Sikdar; Wolfgang Nejdl; Marco Fisichella (AAAI, 2024)

Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets. - Apoorva Upadhyaya; Wolfgang Nejdl; Marco Fisichella (CIKM, 2024)

TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. - Maryam Badar; Sandipan Sikdar; Wolfgang Nejdl; Marco Fisichella (ECAI, 2024)

Corrigendum to "Disarming visualization-based approaches in malware detection systems" [Computers & Security Volume 126, March 2023, 103062]. - Lara Saidia Fascì; Marco Fisichella; Gianluca Lax; Chenyin Qian (Comput. Secur., 2024)

Multi-Vehicle Multi-Camera Tracking With Graph-Based Tracklet Features. - Tuan T. Nguyen; Hoang H. Nguyen; Mina Sartipi; Marco Fisichella (IEEE Trans. Multim., 2024)

Does a language model "understand" high school math? A survey of deep learning based word problem solvers. - Sowmya S. Sundaram; Sairam Gurajada; Deepak Padmanabhan 001; Savitha Sam Abraham; Marco Fisichella (WIREs Data. Mining. Knowl. Discov., 2024)

Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization. - Maryam Badar; Marco Fisichella (Big Data Cogn. Comput., 2024)

LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios. - Tuan T. Nguyen; Hoang H. Nguyen; Mina Sartipi; Marco Fisichella (Mach. Learn., 2024)

Open benchmark for filtering techniques in entity resolution. - Franziska Neuhof; Marco Fisichella; George Papadakis 001; Konstantinos Nikoletos; Nikolaus Augsten; Wolfgang Nejdl; Manolis Koubarakis (VLDB J., 2024)

A Trustworthy Approach to Classify and Analyze Epidemic-Related Information From Microblogs. - Thi Huyen Nguyen; Marco Fisichella; Koustav Rudra (IEEE Trans. Comput. Soc. Syst., 2024)

1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production. - Giovanni Fulantelli; Davide Taibi 002; Sergio Splendore; Marco Fisichella (WSDM, 2025)

Interpretable zero-shot stance detection with proactive content intervention. - Apoorva Upadhyaya; Wolfgang Nejdl; Marco Fisichella (Inf. Process. Manag., 2025)

Fedflow: a personalized federated learning framework for passenger flow prediction. - Franca Rocco di Torrepadula; Marco Fisichella; Sergio Di Martino; Nicola Mazzocca (Mach. Learn., 2025)