Middlesex Computer Science Colloquium is the monthly departmental computer science colloquium of Middlesex University, London.
It is organised by Can Baskent.
- Colloquium: Compound States via Quantum Conditionality and Quantum Mutual Entropy
- Colloquium: Mutation Testing of Deep Learning Systems
- Colloquium: A broadly Marxian analysis of blockchain and cryptocurrencies
- Colloquium: Contextuality: from quantum mechanics to logic, language and information
- Colloquium: Learning axes from samples: single-peaked preferences and beyond
- Colloquium: Adversarial Reprogramming Revisited
- Colloquium: Making Models Work: How an Optimised ML Lifecycle Can Drive Better ROI
- Colloquium: Automated Logic-Based Reasoning for Analyzing Prime Video Code
- Colloquium: Bio-inspired Neural Architecture Search
- Colloquium: Â Fair Division: A Theoretical and a Practical Perspective
- Colloquium: Targeted Ads, Data Openness, Digital Power: Reasons to be Cheerful
- Colloquium: The Complexity of Gradient Descent
- Colloquium: Representing Knowledge and Thought: Insights from the Design of Radical Representational Systems
- Colloquium: Goal-Directed Analysis for TypeScript
- Colloquium: Refractive Two-View Reconstruction for Underwater 3D Vision
- Colloquium: Explainable AI and Its Application to Medical Diagnosis
- Colloquium: Nowcasting Gentrification Using Airbnb Data
- Colloquium: Quantum-like Contextuality and Ambiguity in Natural Language
- Colloquium: Bitcoin Alchemy
- Colloquium: Data-Driven Service Computing: Managing Information Services in the era of Big Data and Internet of Things