Z-Based Agents for Service Oriented Computing. - Ioan Alfred Letia; Anca Nicoleta Marginean; Adrian Groza (SOCASE, 2007)

Blending rules and ontology in argumentation. - Anca Marginean (ITI, 2009)

Expectations for Assessment of Services Quality. - Ioan Alfred Letia; Anca Nicoleta Marginean (SYNASC, 2010)

Service monitoring with ontology based expectations. - Ioan Alfred Letia; Anca Nicoleta Marginean (ICCP, 2011)

Natural Language for Querying Linked Data. - Anca Marginean; Oana Marc (RoCHI, 2013)

Multi agent system for traffic routing. - Adrian Popescu; Anca Marginean (RoCHI, 2013)

GFMed: Question Answering over BioMedical Linked Data with Grammatical Framework. - Anca Marginean (CLEF (Working Notes), 2014)

LELA - A natural language processing system for Romanian tourism. - Bernadette Varga; Alina Dia Trambitas-Miron; Andrei Roth; Anca Nicoleta Marginean; Radu Razvan Slavescu; Adrian Groza (FedCSIS, 2014)

Using Domain Specific Hierarchical Good Practice for Ranking Service Compositions. - Anca Nicoleta Marginean; Ioan Alfred Letia; Sergiu Zaporojan (SYNASC, 2014)

A multi-agent approach towards cooperative overtaking in vehicular networks. - Adrian Groza; Bogdan Iancu; Anca Nicoleta Marginean (WIMS, 2014)

CoNtRol: an open source framework for the analysis of chemical reaction networks. - Pete Donnell; Murad Banaji; Anca Marginean; Casian Pantea (Bioinform., 2014)

Cooperative application for lane change maneuver on Smart Mobile devices. - Anca Marginean; Andra Petrovai; Mihai Negru; Sergiu Nedevschi (ICCP, 2015)

Enhancing digital maps to support reasoning on traffic sign compliance. - Anca Nicoleta Marginean; Andra Petrovai; Radu Razvan Slavescu; Mihai Negru; Sergiu Nedevschi (ICCP, 2016)

Towards Lexicalization of DBpedia Ontology with Unsupervised Learning and Semantic Role Labeling. - Anca Nicoleta Marginean; Kando Eniko (SYNASC, 2016)

Question answering over biomedical linked data with Grammatical Framework. - Anca Marginean (Semantic Web, 2017)

Analysing Climate Change Arguments Using Subjective Logic. - Adrian Groza; Pinar Öztürk; Radu Razvan Slavescu; Anca Marginean; R. Rajendra Prasath (ICCP, 2018)

Ensemble of Artificial Neural Networks for Aspect Based Sentiment Analysis. - Andreea Onaciu; Anca Nicoleta Marginean (ICCP, 2018)

On the Impact of Semantic Roles on Text Comprehension for Question Answering. - Anca Marginean; Gabriela Pricop (MIKE, 2018)

EmotionSense: Real-time Emotional Feedback from the Audience. - Andrada-Denisa Farcas; Anca Marginean (ICCP, 2019)

Towards Balancing the Complexity of Convolutional Neural Network with the Role of Optical Coherence Tomography in Retinal Conditions. - Anca Marginean; Adrian Groza; Simona Delia Nicoara; George Muntean; Radu Razvan Slavescu; Ioan Alfred Letia (ICCP, 2019)

Parallel implementation of a PIC simulation algorithm using OpenMP. - Alin Suciu; Anca Hangan; Anca Marginean; Marius Joldos; Gabriel Voitcu; Marius Echim (FedCSIS, 2020)

COVID-19 spread forecast using recurrent auto-encoders. - Radu Beche; Romina Baila; Anca Marginean (ICCP, 2020)

Predicting Structure & Clarity of software projects with Machine Learning. - Darius Mihnea Bogdan; Anca Marginean (ICCP, 2020)

A Multi-threaded Particle-in-cell Approach for Kinetic Plasma Simulations. - Marius Joldos; Gabriel Voitcu; Alin Suciu; Anca Hangan; Marius Echim; Anca Marginean (ICCP, 2020)

Climate change opinions in online debate sites. - Adrian Groza; Pinar Öztürk; Radu Razvan Slavescu; Anca Marginean (Comput. Sci. Inf. Syst., 2020)

Understanding Cooking Recipes' Structure Using Grammars. - Andreea Ilies; Anca Nicoleta Marginean (ICCP, 2021)

Medical Question Entailment based on Textual Inference and Fine-tuned BioMed-RoBERTa. - Andreea Maria Monea; Anca Nicoleta Marginean (ICCP, 2021)

Low-dimensional Representation of OCT Volumes with Supervised Contrastive Learning. - Anca Marginean; Vesa Bianca; Simona Delia Nicoara; George Muntean (ICCP, 2022)

Predicting the Geoeffectiveness of CMEs Using Machine Learning. - Andreea-Clara Pricopi; Alin Razvan Paraschiv; Diana Besliu-Ionescu; Anca Nicoleta Marginean (CoRR, 2022)

A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps. - Vanessa Mercea; Alin Razvan Paraschiv; Daniela Adriana Lacatus; Anca Marginean; Diana Besliu-Ionescu (CoRR, 2022)

Predicting necessary treatment plans for patients with Age-Related Macular Degeneration using characteristics derived from optical coherence tomography B-scans. - Alexandra Ioana Bucur; George Muntean; Anca Marginean; Simona Delia Nicoara (ICCP, 2023)

From learned to new relations through generative models combined with relations clustering and few-shot learning. - Dorina-Mihaela Tirsogoiu; Anca Marginean (ICCP, 2023)

An ontology for Age-Related Macular Degeneration using ophthalmologists and language models. - Adrian Groza; Anca Marginean; Simona Delia Nicoara (SWAT4HCLS, 2023)

Exploring Early Estimation of Treatment Needs for Age-Related Macular Degeneration Patients Using Easily Generated Features. - Anca Marginean; George Adrian Muntean; Alexandra Ioana Bucur; Simona Delia Nicoara (SYNASC, 2023)

Brave new world: Artificial Intelligence in teaching and learning. - Adrian Groza; Anca Marginean (CoRR, 2023)

Exploring the Limits of T5: Multitask Fine- Tuning for Reasoning, Summarization, Sentiment Analysis and Figurative Language Understanding. - Stefan Costin Atitienei; Anca Marginean (ICCP, 2024)

Self-Healing Model from Uncertain Data. - Adrian-Valentin Ciu; Anca Marginean (ICCP, 2024)

XAI-DETR: Explainable AI Tool for Detection Transformers. - Cezar-Mihai Suciu; Anca Marginean (ICCP, 2024)

Prompting and Learning to Detect Major Life Events from Tweets. - Anca Marginean; Emanuel Barcau (TFC (2), 2024)

HybridOM: Ontology Matching using Hybrid Search. - Marius-Horatiu Totoian; Anca Marginean; Philipp Blohm; Mir Nawab Hussain (OM@ISWC, 2024)

How to Tackle Fake Medical Content with Clustering and Transformers. - Radu Razvan Slavescu; Marina Bianca Trif; Anca Marginean; Kinga Cristina Slavescu (SYNASC, 2024)