PhD Candidate in Cognitive Informatics at Institut des Sciences Cognitives, UQAM
Research Interests:
- 🤖 Algorithmic Bureaucracy & Governance
- 🔍 Explainable AI (xAI) & Transparency
- 📊 Recommendation Systems & Collaborative Filtering
- 🌐 Digital Sociology & Information Credibility
- ⚖️ AI Ethics & Accountability
Le Léviathan Algorithmique : pouvoir, opacité et responsabilité à l'ère de l'intelligence artificielle
-
Modeling a Hybrid System for Verifying Information Credibility (2025)
-
Hybrid System Ontology for Information Source Verification (2025)
Evaluation of Information Retrieval Models on TREC AP 88-90 (2025)
Évaluation comparative de modèles de recherche d'information sur les collections TREC AP 88-90.
Technologies : Python • Information Retrieval • BM25 • TF-IDF • Vector Space Models
Résultats :
- 📊 Analyse de 165,000 documents
- 📈 Comparaison BM25 vs. VSM
- 🎯 Métriques MAP, NDCG, Precision@K
A hybrid system combining predicate logic and ML/AI for assessing information source credibility.
- Technologies: Python, NLP, Ontologies (OWL), Machine Learning
- Status: Active Research
- 📂 Repository | 📄 Paper
OWL ontology for modeling information verification systems.
- Technologies: OWL, RDF, Protégé
- Status: Published
- 📂 Repository | 📄 Paper
Neural machine translation system with attention mechanisms.
- Technologies: Python, TensorFlow, PyTorch, NMT
- Status: Completed
- 📂 Repository | 📄 Paper
- 🔬 Completing PhD dissertation on algorithmic bureaucracy
- 📝 Publishing research on AI transparency and accountability
- 💡 Developing explainable AI frameworks for recommendation systems
- 🌍 Contributing to open science and reproducible research
- 🌐 Website: dominiqueloyer.github.io
- 📧 Email: votreconsultant@gmail.com
- 💼 LinkedIn: linkedin.com/in/dominiqueloyer
- 🔬 ORCID: 0009-0003-9713-7109
- 📚 Google Scholar: Profile
- 🔍 ResearchGate: Dominique Loyer
Unless otherwise specified, research code is released under MIT License.
Academic publications follow their respective copyright agreements.
⭐ If you find my work interesting, consider following or starring relevant repositories!