Christian M. Adriano

Orcid: 0000-0003-2588-9937

According to our database1, Christian M. Adriano authored at least 20 papers between 2001 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles.
CoRR, April, 2026

From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge.
CoRR, April, 2026

2025
The First International Workshop on Neuro-Symbolic Software Engineering (NSE 2025).
ACM SIGSOFT Softw. Eng. Notes, October, 2025

From Assessment to Enhancement of Pull Requests at Scale: Aligning Code Reviews with Developer Competencies Using Large Language Models.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2025

Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2025

Neuro-Symbolic Causal Reasoning for Cautious Self-Adaptation Under Distribution Shifts.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2025

2024
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data.
CoRR, 2024

STIGS: Spatio-Temporal Interference Graph Simulator for Self-Configurable Multi-Tenant Cloud Systems.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Leveraging Cross-Snapshot Attention for Identifying Graph Propagation Patterns in Dynamic Real-World Networks.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Principled Transfer Learning for Autonomic Systems: A Neuro-Symbolic Vision.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

2023
Challenges in Reward Design for Reinforcement Learning-based Traffic Signal Control: An Investigation using a CO2 Emission Objective.
Proceedings of the SUMO User Conference 2023, Berlin, Germany, May 2-4, 2023, 2023

2022
Tool support for the teaching of state-based behavior modeling.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

2020
Collective risk minimization via a bayesian model for statistical software testing.
Proceedings of the SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June, 2020

2019
Microtasking Software Failure Resolution: Early Results.
ACM SIGSOFT Softw. Eng. Notes, 2019

2018
Training Prediction Models for Rule-Based Self-Adaptive Systems.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

2016
Exploring Microtask Crowdsourcing as a Means of Fault Localization.
CoRR, 2016

2014
Microtask programming: building software with a crowd.
Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, 2014

2007
Developing a Collaborative and Autonomous Training and Learning Environment for Hybrid Wireless Networks
CoRR, 2007

Redesigning Computer-based Learning Environments: Evaluation as Communication
CoRR, 2007

2001
Coordination components for collaborative virtual environments.
Comput. Graph., 2001


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