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Computer Sciences and Networks departement - INFRES
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Latest publications
Mehwish Alam, Genet Asefa Gesese, Pierre-Henri Paris. Neurosymbolic Methods for Dynamic Knowledge Graphs.
Handbook on Neurosymbolic Artificial Intelligence
, In press.
⟨hal-04792151⟩
Andrea Gurioli, Maurizio Gabbrielli, Stefano Zacchiroli. Is This You, LLM? Recognizing AI-written Programs with Multilingual Code Stylometry.
IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2025
, Mar 2025, Montréal, Canada.
⟨10.48550/arXiv.2412.14611⟩
.
⟨hal-04845581⟩
Johannes Mäkelburg, Yiwen Peng, Mehwish Alam, Tobias Weller, Maribel Acosta. Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs.
International Conference on Agents and Artificial Intelligence (ICAART 2025)
, Feb 2025, Porto, Portugal.
⟨hal-04837417⟩
Laure Coutin, Laurent Decreusefond. Invertibility of functionals of the Poisson process and applications.
Annals of Probability
, In press.
⟨hal-04153437v2⟩
Robin Héron, Stéphane Safin, Michael J Baker, Zhuoming Zhang, Eric Lecolinet, et al.. Touching at a distance: the elaboration of communicative functions from the perspective of the interactants.
Frontiers in Psychology
, 2024, 15,
⟨10.3389/fpsyg.2024.1497289⟩
.
⟨hal-04846977⟩
Bruno Costacèque-Cecchi. Stein's method for extreme value distributions. Probability [math.PR]. Institut Polytechnique de Paris, 2024. English.
⟨NNT : 2024IPPAT045⟩
.
⟨tel-04874813⟩
Peng Yu. Improving Decision Tree Learning. Machine Learning [stat.ML]. Institut Polytechnique de Paris, 2024. English.
⟨NNT : 2024IPPAT037⟩
.
⟨tel-04885475⟩
Hamza Adrat, Laurent Decreusefond, Philippe Martins. Performance analysis of a RIS-assisted communications.
Valuetools 2024
, EAI, Dec 2024, Milan, Italy.
⟨hal-04665847⟩
Andrea Gurioli, Maurizio Gabbrielli, Stefano Zacchiroli. Stylometry for real-world expert coders: a zero-shot approach.
PeerJ Computer Science
, 2024, 10, pp.e2429.
⟨10.7717/peerj-cs.2429⟩
.
⟨hal-04793178⟩
Lihu Chen, Alexandre Perez-Lebel, Fabian Suchanek, Gaël Varoquaux. Reconfidencing LLM Uncertainty from the Grouping Loss Perspective.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing
, Nov 2024, Miami, United States.
⟨10.48550/arXiv.2402.04957⟩
.
⟨hal-04750567⟩
Keywords
Prediction algorithms
Graph Theory
Stability
Stochastic geometry
Complexité
Conversation
Servers
Adaptation models
Cooperation
Attack Graphs
Visualization
Neural networks
Security
Training
Wireless sensor networks
Optimization
Machine learning algorithms
Clustering
Data models
Design
Quality of service
Internet
C-ITS
Internet of Things
Cognition
Real-time systems
Classification algorithms
Emergence
Data science
Interaction techniques
Homology
Machine Learning
Language
Costs
Graphs
Fitts' law
Computational modeling
Apprentissage automatique
Spatial memory
Scheduling
Access control
Information
Stein method
Évolution
Balanced fairness
NFV
Performance
Beamforming
Simplicity
Evolution
Privacy
Cryptography
Malliavin calculus
Argumentation
Interpretability
Unsupervised learning
Consensus
5G
Graph theory
IoT
Big data
Performance evaluation
Predictive models
Interference
Ethereum
Hardware
Data streams
Sécurité
Game theory
Data stream mining
Classification
Authentication
Big Data
Protocols
Data stream
Kolmogorov complexity
Concept Drift
Concept drift
Smart home
Complexity
Relevance
AADL
Knowledge base
Intrication
Cloud computing
Smart Grids
Explainability
Command selection
Mobility
Blockchain
Cellular networks
Cloud Computing
Simulation
Computer architecture
Anomaly detection
Machine learning
Entropy
Communication
Recommender systems
Scalability
Number of fulltext
1 087
Number of references
1 850
Open access
46 %
Collaborations per country