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2020 – today
- 2024
[j18]Maryam Badar
, Marco Fisichella:
Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization. Big Data Cogn. Comput. 8(2): 16 (2024)- [j17]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: 103934 (2024) - [j16]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): 6811-6837 (2024) - [j15]Thi Huyen Nguyen, Marco Fisichella, Koustav Rudra:
A Trustworthy Approach to Classify and Analyze Epidemic-Related Information From Microblogs. IEEE Trans. Comput. Soc. Syst. 11(5): 6229-6241 (2024) - [j14]Tuan T. Nguyen, Hoang H. Nguyen, Mina Sartipi, Marco Fisichella:
Multi-Vehicle Multi-Camera Tracking With Graph-Based Tracklet Features. IEEE Trans. Multim. 26: 972-983 (2024) - [j13]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): 1671-1696 (2024) - [c38]Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. AAAI 2024: 10962-10970 - [c37]Apoorva Upadhyaya, Wolfgang Nejdl, Marco Fisichella:
Harnessing Empathy and Ethics for Relevance Detection and Information Categorization in Climate and COVID-19 Tweets. CIKM 2024: 4091-4095 - [c36]Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. ECAI 2024: 2370-2377 - 2023
- [j12]Gurtaj Singh, Vincenzo Violi, Marco Fisichella:
Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case. Big Data Cogn. Comput. 7(1): 18 (2023) - [j11]Lara Saidia Fascì, Marco Fisichella, Gianluca Lax, Chenyin Qian:
Disarming visualization-based approaches in malware detection systems. Comput. Secur. 126: 103062 (2023) - [j10]Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
Towards sentiment and Temporal Aided Stance Detection of climate change tweets. Inf. Process. Manag. 60(4): 103325 (2023) - [j9]Maryam Badar, Wolfgang Nejdl, Marco Fisichella:
FAC-fed: Federated adaptation for fairness and concept drift aware stream classification. Mach. Learn. 112(8): 2761-2786 (2023) - [j8]Eleni Ilkou, Tetiana Tolmachova, Marco Fisichella, Davide Taibi:
CollabGraph: A Graph-Based Collaborative Search Summary Visualization. IEEE Trans. Learn. Technol. 16(3): 382-398 (2023) - [c35]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 - [c34]Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
Toxicity, Morality, and Speech Act Guided Stance Detection. EMNLP (Findings) 2023: 4464-4478 - [c33]George Papadakis, Marco Fisichella, Franziska Schoger, George Mandilaras, Nikolaus Augsten, Wolfgang Nejdl:
Benchmarking Filtering Techniques for Entity Resolution. ICDE 2023: 653-666 - [c32]Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
A Multi-Task Model for Sentiment Aided Stance Detection of Climate Change Tweets. ICWSM 2023: 854-865 - [c31]Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data. IJCAI 2023: 6246-6254 - [c30]Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella:
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. KDD 2023: 3140-3150 - [c29]Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets. WWW 2023: 3948-3958 - [i6]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 abs/2302.06975 (2023) - 2022
- [j7]Raneen Younis, Marco Fisichella:
FLY-SMOTE: Re-Balancing the Non-IID IoT Edge Devices Data in Federated Learning System. IEEE Access 10: 65092-65102 (2022) - [j6]Marco Fisichella:
Siamese coding network and pair similarity prediction for near-duplicate image detection. Int. J. Multim. Inf. Retr. 11(2): 159-170 (2022) - [j5]Marco Fisichella, Gianluca Lax, Antonia Russo:
Partially-federated learning: A new approach to achieving privacy and effectiveness. Inf. Sci. 614: 534-547 (2022) - [c28]Steffen Brauer, Marco Fisichella, Gianluca Lax, Carlo Romeo, Antonia Russo:
A Graph-Based Approach to Detect Anomalies Based on Shared Attribute Values. AII 2022: 511-522 - [c27]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: 149-154 - [d1]Marco Fisichella:
Forex Market Movements. IEEE DataPort, 2022
- [i5]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 abs/2202.12521 (2022) - [i4]Yi Chang, Sofiane Laridi, Zhao Ren, Gregory Palmer, Björn W. Schuller, Marco Fisichella:
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. CoRR abs/2203.04696 (2022) - [i3]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 abs/2205.15683 (2022) - [i2]Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets. CoRR abs/2211.03533 (2022) - [i1]Maryam Badar, Marco Fisichella, Vasileios Iosifidis, Wolfgang Nejdl:
Discrimination and Class Imbalance Aware Online Naive Bayes. CoRR abs/2211.04812 (2022) - 2021
- [j4]Marco Fisichella, Filippo Garolla:
Can Deep Learning Improve Technical Analysis of Forex Data to Predict Future Price Movements? IEEE Access 9: 153083-153101 (2021) - [j3]Marco Fisichella, Andrea Ceroni:
Event Detection in Wikipedia Edit History Improved by Documents Web Based Automatic Assessment. Big Data Cogn. Comput. 5(3): 34 (2021) - [j2]Marco Fisichella:
Unified approach to retrospective event detection for event- based epidemic intelligence. Int. J. Digit. Libr. 22(4): 339-364 (2021)
2010 – 2019
- 2017
- [c26]Andrea Ceroni, Ujwal Gadiraju, Marco Fisichella:
JustEvents: A Crowdsourced Corpus for Event Validation with Strict Temporal Constraints. ECIR 2017: 484-492 - 2016
- [c25]Andrea Ceroni, Ujwal Gadiraju, Jan Matschke, Simon Wingert, Marco Fisichella:
Where the Event Lies: Predicting Event Occurrence in Textual Documents. SIGIR 2016: 1157-1160 - [e1]Marco Fisichella:
Proceedings of the 1st International Workshop on Online Safety, Trust and Fraud Prevention, OnSt@WebSci 2016, Hannover, Germany, May 22-25, 2016. ACM 2016, ISBN 978-1-4503-4364-0 [contents] - 2015
- [c24]Andrea Ceroni, Ujwal Kumar Gadiraju, Marco Fisichella:
Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text. CIKM 2015: 1815-1818 - 2014
- [j1]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): 457-481 (2014) - [c23]Marco Fisichella, Andrea Ceroni, Fan Deng, Wolfgang Nejdl:
Predicting Pair Similarities for Near-Duplicate Detection in High Dimensional Spaces. DEXA (2) 2014: 59-73 - [c22]Andrea Ceroni, Marco Fisichella:
Towards an Entity-Based Automatic Event Validation. ECIR 2014: 605-611 - [c21]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: 125-128 - [c20]Andrea Ceroni, Mihai Georgescu, Ujwal Gadiraju, Kaweh Djafari Naini, Marco Fisichella:
Information Evolution in Wikipedia. OpenSym 2014: 24:1-24:10 - [c19]Tuan Tran, Andrea Ceroni, Mihai Georgescu, Kaweh Djafari Naini, Marco Fisichella:
WikipEvent: Leveraging Wikipedia Edit History for Event Detection. WISE (2) 2014: 90-108 - 2013
- [c18]Ricardo Kawase, Patrick Siehndel, Bernardo Pereira Nunes, Marco Fisichella:
Automatic Competence Leveling of Learning Objects. ICALT 2013: 149-153 - [c17]Ricardo Kawase, Marco Fisichella, Bernardo Pereira Nunes, Kyung-Hun Ha, Markus Bick:
Automatic classification of documents in cold-start scenarios. WIMS 2013: 19 - [c16]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: 445-450 - 2012
- [b1]Marco Fisichella:
Clustering information entities based on statistical methods. University of Hanover, 2012, pp. 1-151 - [c15]Ricardo Kawase, Patrick Siehndel, Bernardo Pereira Nunes, Marco Fisichella, Wolfgang Nejdl:
Towards Automatic Competence Assignment of Learning Objects. EC-TEL 2012: 401-406 - [c14]Alfredo Cuzzocrea, Marco Fisichella:
Polynomial Asymptotic Complexity of Multiple-Objective OLAP Data Cube Compression. IPMU (2) 2012: 580-593 - [c13]Alfredo Cuzzocrea, Marco Fisichella:
Improving Flexibility of Workflow Management Systems via a Policy-enhanced Collaborative Framework. WEBIST 2012: 701-708 - [c12]Marco Fisichella, Juri Luca De Coi, Ricardo Kawase, Maristella Matera:
User profile based activities in flexible processes. WIMS 2012: 33:1-33:10 - 2011
- [c11]Alfredo Cuzzocrea, Juri Luca De Coi, Marco Fisichella, Dimitrios Skoutas:
Graph-Based Matching of Composite OWL-S Services. DASFAA Workshops 2011: 28-39 - [c10]Ernesto Diaz-Aviles, Marco Fisichella, Ricardo Kawase, Wolfgang Nejdl, Avaré Stewart:
Unsupervised Auto-tagging for Learning Object Enrichment. EC-TEL 2011: 83-96 - [c9]Alfredo Cuzzocrea, Marco Fisichella:
A flexible graph-based approach for matching composite semantic web services. EDBT/ICDT Workshop on Linked Web Data Management 2011: 30-31 - [c8]Marco Fisichella, Maristella Matera:
Process flexibility through customizable activities: A mashup-based approach. ICDE Workshops 2011: 226-231 - [c7]Alfredo Cuzzocrea, Marco Fisichella:
Discovering semantic Web services via advanced graph-based matching. SMC 2011: 608-615 - [c6]Marco Fisichella, Avaré Stewart, Alfredo Cuzzocrea, Kerstin Denecke:
Detecting Health Events on the Social Web to Enable Epidemic Intelligence. SPIRE 2011: 87-103 - 2010
- [c5]Marco Fisichella, Avaré Stewart, Kerstin Denecke, Wolfgang Nejdl:
Unsupervised public health event detection for epidemic intelligence. CIKM 2010: 1881-1884 - [c4]Marco Fisichella, Fan Deng, Wolfgang Nejdl:
Efficient Incremental Near Duplicate Detection Based on Locality Sensitive Hashing. DEXA (1) 2010: 152-166 - [c3]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: 632-637 - [c2]Avaré Stewart, Marco Fisichella, Kerstin Denecke:
Detecting Public Health Indicators from the Web for Epidemic Intelligence. eHealth 2010: 10-17 - [c1]Juri Luca De Coi, Marco Fisichella, Maristella Matera:
Managing Adaptivity in Web Collaborative Processes Using Policies and User Profiles. ICWE Workshops 2010: 150-162
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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