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ORCID27th EDBT / 27th ICDT 2024: Paestum, Italy
- Themis Palpanas, H. V. Jagadish:
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, Paestum, Italy, March 25, 2024. CEUR Workshop Proceedings 3651, CEUR-WS.org 2024
EDBT PhD Workshop 2024
- Paul M. Walther:
Advancements of Randomized Data Structures for Geospatial Data. - Maria F. Davila:
Benchmarking Tabular Data Synthesis for User Guidance. - Alice Rey:
Bridging the Gap Between Data Lakes and RDBMSs: Efficient Query Processing with Parquet. - Camilla Sancricca:
DIANA: A Knowledge-driven Framework for Data-centric AI.
6th International Workshop on Big Mobility Data Analytics (BMDA)
- Efstratios Karkanis, Nikos Pelekis, Eva Chondrodima, Yannis Theodoridis:
Path-based Traffic Flow Prediction. - Arjanit Arifi, Panagiotis Bouros, Theodoros Chondrogiannis:
A Study on ETA Prediction using Machine Learning and Recovered Routes. - Panagiotis Tampakis, Nikos Pelekis:
Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects. - Giannis Spiliopoulos, Cesar Ducruet, Leonardo Maria Millefiori, Paolo Braca, Dimitris Zissis:
Detecting the Spatiotemporal Characteristics of the Supply-chain Disruption and Estimating its Short Term Effects. - Giulia Rovinelli, Davide Rocchesso, Marta Simeoni, Alessandra Raffaetà:
Using Semantic Trajectories for Spatio-temporal Characterisation of Underwater Noise. - Simone Baccile, Giuliano Cornacchia, Luca Pappalardo:
Measuring the Impact of Road Removal on Vehicular CO2 Emissions. - Giovanni Mauro, Luca Pappalardo:
The Role of Relocation Policies in Urban Segregation Dynamics. - Giuliano Cornacchia, Mirco Nanni, Francesco Grassi:
Barcelona Effect: Studying the Instability of Shortest Paths in Urban Settings. - Jan Appel, Andreas Weiler:
XCrowd: A Realistic Crowd Simulation Tool for Efficient Movement Management. - Elias Alevizos, Georgios M. Santipantakis, Christos Doulkeridis, Alexander Artikis:
Online Integration of Spatial Reasoning in Complex Event Recognition. - Gilles Dejaegere, Mahmoud Sakr:
New Algorithms for the Simplification of Multiple Trajectories Under Bandwidth Constraints. - Cristiano Landi, Riccardo Guidotti:
A Shape-Based Map Matching Approach for Geographic Transferability of Discriminative Subtrajectories.
8th International workshop on Data Analytics solutions for Real-LIfe APplications (DARLI-AP)
- Carsten Kleiner:
Explainable Anomaly Detection in Renewable Energy Power Plants by Learning. - Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Justyna Kowalewska, Agnieszka Marszalek, Robert Wrembel:
Statistical Modeling vs. Machine Learning for Deduplication of Customer Records. - Moreno La Quatra, Salvatore Greco, Luca Cagliero, Michela Tonti, Francesca Dragotto, Rachele Raus, Stefania Cavagnoli, Tania Cerquitelli:
Building Foundations for Inclusiveness through Expert-Annotated Data. - Chen Jiang, Wenlu Wang, Jingjing Li, Naiqing Pan, Wei-Shinn Ku:
Deep Spatio-Temporal Encoding: Achieving Higher Accuracy by Aligning with External Real-World Data. - Irene Benedetto, Luca Cagliero, Francesco Tarasconi:
Extreme Classification of European Union Law Documents Driven by Entity Embeddings. - Emanuele Cavalleri, Marco Mesiti:
On the Extraction of Meaningful RNA Interactions from Scientific Publications through LLMs and SPIRES. - Reza Shafiloo, Kostas Stefanidis:
Examining the Impact of Multi-Objective Recommender Systems on Providers Bias. - Tommaso Massaglia, Bartolomeo Vacchetti, Tania Cerquitelli:
DreamShot: Teaching Cinema Shots to Latent Diffusion Models. - Anna Dalla Vecchia, Niccolò Marastoni, Elisa Quintarelli:
In Time Recommendations through an Associative Classifier and LookBackApriori: a Case Study. - Yorick Spenrath, Marwan Hassani, Boudewijn Frans van Dongen:
Online Prediction Threshold Optimization Under Semi-deferred Labelling. - Genoveva Vargas-Solar, Khalid Belhajjame, Javier-Alfonso Espinosa-Oviedo, Santiago Negrete-Yankelevich, José-Luis Zechinelli-Martini:
MATILDA: Inclusive Data Science Pipelines Design through Computational Creativity. - Andreas Alamanos, Akrivi Vlachou:
Diversity in Spatio-textual Data Objects. - Genoveva Vargas-Solar, Jérôme Darmont, Alejandro Adorjan, Javier-Alfonso Espinosa-Oviedo, Carmem S. Hara, Sabine Loudcher, Regina Motz, Martin A. Musicante, José-Luis Zechinelli-Martini:
Dataversifying Earth Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life and Earth Sciences. - Skander Ghazzai, Daniela Grigori, Raja Rébaï:
Weak Signal Detection for Occupational Safety. - Somayeh Mohammadi, Latif Pourkarimi, Manuel Zschäbitz, Tristan Aretz, Ninon De Mecquenem, Ulf Leser, Knut Reinert:
Optimizing Job/Task Granularity for Metagenomic Workflows in Heterogeneous Cluster Infrastructures. - Marc-Andre Schulz, Jan Philipp Albrecht, Alpay Yilmaz, Alexander Koch, Dagmar Kainmüller, Ulf Leser, Kerstin Ritter:
TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain.
6th International Workshop on Health Data Management in the Era of AI (HeDAI)
- Giovanni Alberto Beltrame, Carlo Combi, Alessandro Farinelli, Roberto Posenato, Giuseppe Pozzi:
Ride-Sharing in Medical Transportations: Dealing with Temporal Requirements. - Anna Dalla Vecchia, Barbara Oliboni, Elisa Quintarelli:
ICARE: the principles of Explainable AI in a Context-aware Recommendation APP. - Gabriele Ciravegna, Alkis Koudounas, Marco Fantini, Tania Cerquitelli, Elena Baralis, Erika Crosetti, Giovanni Succo:
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection.
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