Marco Fisichella

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 34

Top Venues

CoRR

Big Data Cogn. Comput.

ECIR

IEEE Access

University of Hanover (PHD)

Education History

University of Hanover

PHD

Publications

Tuan T. Nguyen, Hoang H. Nguyen, Mina Sartipi, Marco Fisichella
Multi-Vehicle Multi-Camera Tracking With Graph-Based Tracklet Features. IEEE Trans. Multim. 26 (2024)
Maryam Badar, Marco Fisichella
Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization. Big Data Cogn. Comput. 8 (2) (2024)
Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. AAAI (2024)
Tuan T. Nguyen, Hoang H. Nguyen, Mina Sartipi, Marco Fisichella
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios. Mach. Learn. 113 (9) (2024)
Lara Saidia Fascì, Marco Fisichella, Gianluca Lax, Chenyin Qian
Corrigendum to "Disarming visualization-based approaches in malware detection systems" [Computers & Security Volume 126, March 2023, 103062]. Comput. Secur. 144 (2024)
Franziska Neuhof, Marco Fisichella, George Papadakis, Konstantinos Nikoletos, Nikolaus Augsten, Wolfgang Nejdl, Manolis Koubarakis
Open benchmark for filtering techniques in entity resolution. VLDB J. 33 (5) (2024)
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets. WWW (2023)
Maryam Badar, Wolfgang Nejdl, Marco Fisichella
FAC-fed: Federated adaptation for fairness and concept drift aware stream classification. Mach. Learn. 112 (8) (2023)
Daniele Schicchi, Apoorva Upadhyaya, Marco Fisichella, Davide Taibi
Using ChatGPT to Enhance Students' Behavior in Social Media via the Moral Foundation Theory (short paper). AIxEDU@AI*IA (2023)
Eleni Ilkou, Tetiana Tolmachova, Marco Fisichella, Davide Taibi
CollabGraph: A Graph-Based Collaborative Search Summary Visualization. IEEE Trans. Learn. Technol. 16 (3) (2023)
Gurtaj Singh, Vincenzo Violi, Marco Fisichella
Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case. Big Data Cogn. Comput. 7 (1) (2023)
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data. IJCAI (2023)
George Papadakis, Marco Fisichella, Franziska Schoger, George Mandilaras, Nikolaus Augsten, Wolfgang Nejdl
Benchmarking Filtering Techniques for Entity Resolution. ICDE (2023)
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
Towards sentiment and Temporal Aided Stance Detection of climate change tweets. Inf. Process. Manag. 60 (4) (2023)
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change Tweets. ICWSM (2023)
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
Toxicity, Morality, and Speech Act Guided Stance Detection. EMNLP (Findings) (2023)
Lara Saidia Fascì, Marco Fisichella, Gianluca Lax, Chenyin Qian
Disarming visualization-based approaches in malware detection systems. Comput. Secur. 126 (2023)
Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. KDD (2023)
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
A Review of the Role of Causality in Developing Trustworthy AI Systems. CoRR (2023)
Steffen Brauer, Marco Fisichella, Gianluca Lax, Carlo Romeo, Antonia Russo
A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values. AII (2022)
George Papadakis, Marco Fisichella, Franziska Schoger, George Mandilaras, Nikolaus Augsten, Wolfgang Nejdl
How to reduce the search space of Entity Resolution: with Blocking or Nearest Neighbor search? CoRR (2022)
Apoorva Upadhyaya, Catharina Pfeiffer, Oleh Astappiev, Ivana Marenzi, Stefanie Lenzer, Andreas Nehring, Marco Fisichella
How Learnweb Can Support Science Education Research on Climate Change in Social Media. MIS4TEL (2022)
Marco Fisichella, Gianluca Lax, Antonia Russo
Partially-federated learning: A new approach to achieving privacy and effectiveness. Inf. Sci. 614 (2022)
Maryam Badar, Marco Fisichella, Vasileios Iosifidis, Wolfgang Nejdl
Discrimination and Class Imbalance Aware Online Naive Bayes. CoRR (2022)
Yi Chang, Sofiane Laridi, Zhao Ren, Gregory Palmer, Björn W. Schuller, Marco Fisichella
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. CoRR (2022)
Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets. CoRR (2022)
Marco Fisichella
Siamese coding network and pair similarity prediction for near-duplicate image detection. Int. J. Multim. Inf. Retr. 11 (2) (2022)
Sowmya S. Sundaram, Sairam Gurajada, Marco Fisichella, Deepak P, Savitha Sam Abraham
Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers. CoRR (2022)
Raneen Younis, Marco Fisichella
FLY-SMOTE: Re-Balancing the Non-IID IoT Edge Devices Data in Federated Learning System. IEEE Access 10 (2022)
Marco Fisichella
Unified approach to retrospective event detection for event- based epidemic intelligence. Int. J. Digit. Libr. 22 (4) (2021)
Marco Fisichella, Andrea Ceroni
Event Detection in Wikipedia Edit History Improved by Documents Web Based Automatic Assessment. Big Data Cogn. Comput. 5 (3) (2021)
Marco Fisichella, Filippo Garolla
Can Deep Learning Improve Technical Analysis of Forex Data to Predict Future Price Movements? IEEE Access 9 (2021)
Andrea Ceroni, Ujwal Gadiraju, Marco Fisichella
JustEvents: A Crowdsourced Corpus for Event Validation with Strict Temporal Constraints. ECIR (2017)
Andrea Ceroni, Ujwal Gadiraju, Jan Matschke, Simon Wingert, Marco Fisichella
Where the Event Lies: Predicting Event Occurrence in Textual Documents. SIGIR (2016)
Andrea Ceroni, Ujwal Kumar Gadiraju, Marco Fisichella
Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text. CIKM (2015)
Ujwal Gadiraju, Kaweh Djafari Naini, Andrea Ceroni, Mihai Georgescu, Dang Duc Pham, Marco Fisichella
WikipEvent: Temporal Event Data for the Semantic Web. ISWC (Posters & Demos) (2014)
Marco Fisichella, Andrea Ceroni, Fan Deng, Wolfgang Nejdl
Predicting Pair Similarities for Near-Duplicate Detection in High Dimensional Spaces. DEXA (2) (2014)
Tuan Tran, Andrea Ceroni, Mihai Georgescu, Kaweh Djafari Naini, Marco Fisichella
WikipEvent: Leveraging Wikipedia Edit History for Event Detection. WISE (2) (2014)
Andrea Ceroni, Mihai Georgescu, Ujwal Gadiraju, Kaweh Djafari Naini, Marco Fisichella
Information Evolution in Wikipedia. OpenSym (2014)
Diana Maynard, Gerhard Gossen, Adam Funk, Marco Fisichella
Should I Care about Your Opinion? Detection of Opinion Interestingness and Dynamics in Social Media. Future Internet 6 (3) (2014)
Andrea Ceroni, Marco Fisichella
Towards an Entity-Based Automatic Event Validation. ECIR (2014)
Ricardo Kawase, Patrick Siehndel, Bernardo Pereira Nunes, Marco Fisichella
Automatic Competence Leveling of Learning Objects. ICALT (2013)
Ricardo Kawase, Marco Fisichella, Katja Niemann, Vassilis Pitsilis, Aristides Vidalis, Philipp Holtkamp, Bernardo Pereira Nunes
OpenScout: harvesting business and management learning objects from the web of data. WWW (Companion Volume) (2013)
Ricardo Kawase, Marco Fisichella, Bernardo Pereira Nunes, Kyung-Hun Ha, Markus Bick
Automatic classification of documents in cold-start scenarios. WIMS (2013)
Alfredo Cuzzocrea, Marco Fisichella
Improving Flexibility of Workflow Management Systems via a Policy-enhanced Collaborative Framework. WEBIST (2012)
Ricardo Kawase, Patrick Siehndel, Bernardo Pereira Nunes, Marco Fisichella, Wolfgang Nejdl
Towards Automatic Competence Assignment of Learning Objects. EC-TEL (2012)
Alfredo Cuzzocrea, Marco Fisichella
Polynomial Asymptotic Complexity of Multiple-Objective OLAP Data Cube Compression. IPMU (2) (2012)
Marco Fisichella, Juri Luca De Coi, Ricardo Kawase, Maristella Matera
User profile based activities in flexible processes. WIMS (2012)
Marco Fisichella, Maristella Matera
Process flexibility through customizable activities: A mashup-based approach. ICDE Workshops (2011)
Alfredo Cuzzocrea, Marco Fisichella
A flexible graph-based approach for matching composite semantic web services. EDBT/ICDT Workshop on Linked Web Data Management (2011)
Alfredo Cuzzocrea, Marco Fisichella
Discovering semantic Web services via advanced graph-based matching. SMC (2011)
Marco Fisichella, Avaré Stewart, Alfredo Cuzzocrea, Kerstin Denecke
Detecting Health Events on the Social Web to Enable Epidemic Intelligence. SPIRE (2011)
Alfredo Cuzzocrea, Juri Luca De Coi, Marco Fisichella, Dimitrios Skoutas
Graph-Based Matching of Composite OWL-S Services. DASFAA Workshops (2011)
Ernesto Diaz-Aviles, Marco Fisichella, Ricardo Kawase, Wolfgang Nejdl, Avaré Stewart
Unsupervised Auto-tagging for Learning Object Enrichment. EC-TEL (2011)
Marco Fisichella, Avaré Stewart, Kerstin Denecke, Wolfgang Nejdl
Unsupervised public health event detection for epidemic intelligence. CIKM (2010)
Avaré Stewart, Marco Fisichella, Kerstin Denecke
Detecting Public Health Indicators from the Web for Epidemic Intelligence. eHealth (2010)
Marco Fisichella, Fan Deng, Wolfgang Nejdl
Efficient Incremental Near Duplicate Detection Based on Locality Sensitive Hashing. DEXA (1) (2010)
Juri Luca De Coi, Marco Fisichella, Maristella Matera
Managing Adaptivity in Web Collaborative Processes Using Policies and User Profiles. ICWE Workshops (2010)
Katja Niemann, Uta Schwertel, Marco Kalz, Alexander Mikroyannidis, Marco Fisichella, Martin Friedrich, Michele Dicerto, Kyung-Hun Ha, Philipp Holtkamp, Ricardo Kawase
Skill-Based Scouting of Open Management Content. EC-TEL (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Fisichella