Marian Viorel Craciun

According to our database, Marian Viorel Craciun authored at least 15 papers between 2003 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

EvalHack: Answer-Side Prompt Injection for Probing LLM Exam-Grading Panel Stability.

Catalin Anghel, Marian Viorel Craciun, Adina Cocu, Andreea Alexandra Anghel, Antonio Stefan Balau, Adrian Istrate, Aurelian-Dumitrache Anghele

Inf., 2026

ExamQ-Gen: Instructor-in-the-Loop Generation of Self-Contained Exam Questions from Course Materials and Decision-Support Grading.

Catalin Anghel, Emilia Pecheanu, Andreea Alexandra Anghel, Marian Viorel Craciun, Adina Cocu

Comput., 2026

2025

PEARL: A Rubric-Driven Multi-Metric Framework for LLM Evaluation.

Catalin Anghel, Andreea Alexandra Anghel, Emilia Pecheanu, Marian Viorel Craciun, Adina Cocu, Cristian Niculita

Inf., 2025

GraderAssist: A Graph-Based Multi-LLM Framework for Transparent and Reproducible Automated Evaluation.

Catalin Anghel, Andreea Alexandra Anghel, Emilia Pecheanu, Adina Cocu, Marian Viorel Craciun, Paul Iacobescu, Antonio Stefan Balau, Constantin Adrian Andrei

Informatics, 2025

CourseEvalAI: Rubric-Guided Framework for Transparent and Consistent Evaluation of Large Language Models.

Catalin Anghel, Marian Viorel Craciun, Emilia Pecheanu, Adina Cocu, Andreea Alexandra Anghel, Paul Iacobescu, Calina Maier, Constantin Adrian Andrei, Cristian Scheau, Serban Dragosloveanu

Comput., 2025

SteadyEval: Robust LLM Exam Graders via Adversarial Training and Distillation.

Catalin Anghel, Marian Viorel Craciun, Adina Cocu, Andreea Alexandra Anghel, Adrian Istrate

Comput., 2025

EvalCouncil: A Committee-Based LLM Framework for Reliable and Unbiased Automated Grading.

Catalin Anghel, Marian Viorel Craciun, Andreea Alexandra Anghel, Adina Cocu, Antonio Stefan Balau, Constantin Adrian Andrei, Calina Maier, Serban Dragosloveanu, Dana-Georgiana Nedelea, Cristian Scheau

Comput., 2025

2008

Pre-processing Techniques for the QSAR Problem.

Luminita Dumitriu, Marian Viorel Craciun, Adina Cocu, Cristina Segal

Proceedings of the New Trends in Multimedia and Network Information Systems, 2008

Development of Multi-output Neural Networks for Data Integration - A Case Study.

Paul R. Trundle, Daniel Neagu, Marian Viorel Craciun, Qasim Chaudhry

Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

A Hybrid Approach for Data Preprocessing in the QSAR Problem.

Adina Cocu, Luminita Dumitriu, Marian Viorel Craciun, Cristina Segal

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2006

A Hybrid Feature Selection Algorithm for the QSAR Problem.

Marian Viorel Craciun, Adina Cocu, Luminita Dumitriu, Cristina Segal

Proceedings of the Computational Science, 2006

2005

Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach.

Daniel Neagu, Marian Viorel Craciun, Silviu A. Stroia, Severin Bumbaru

Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

2004

Combining Unsupervised and Supervised Artificial Neural Networks to PredictAquatic Toxicity.

Giuseppina C. Gini, Marian Viorel Craciun, Christoph König, Emilio Benfenati

J. Chem. Inf. Model., 2004

Multiclass Classifier From A Combination Of Local Experts: Toward Distributed Computation For Real-Problem Classifiers.

Christoph König, Giuseppina C. Gini, Marian Viorel Craciun, Emilio Benfenati

Int. J. Pattern Recognit. Artif. Intell., 2004

2003

A Study of Aquatic Toxicity Using Artificial Neural Networks.

Marian Viorel Craciun, Daniel Neagu, Christoph König, Severin Bumbaru

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003