Michael Hind
Identifiers
No identifiers captured yet.
Papers (9)
- Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning cs.LG · 2019 · author #2
- TED: Teaching AI to Explain its Decisions cs.AI · 2018 · author #1
- Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network cs.DC · 2018 · author #6
- AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias cs.AI · 2018 · author #3
- Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach cs.DC · 2018 · author #3
- FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity cs.CY · 2018 · author #3
- Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images cs.CV · 2018 · author #4
- Teaching Meaningful Explanations cs.AI · 2018 · author #2
- Complex Structure of Dynamic Stall on Wind Turbine Airfoils physics.flu-dyn · 2013 · author #1
Mentions
No mention provenance yet.
Frequent Coauthors
- Kush R. Varshney 7 shared papers
- Karthikeyan Natesan Ramamurthy 5 shared papers
- Noel C. F. Codella 4 shared papers
- Aleksandra Mojsilovic 3 shared papers
- Amit Dhurandhar 3 shared papers
- Dennis Wei 3 shared papers
- Murray Campbell 3 shared papers
- Aleksandra Mojsilovi\'c 2 shared papers
- Biplav Srivastava 2 shared papers
- Eleftheria K. Pissadaki 2 shared papers
- Nelson Kibichii Bore 2 shared papers
- Rachel K. E. Bellamy 2 shared papers
- Ravi Kiran Raman 2 shared papers
- Roman Vaculin 2 shared papers
- Sameep Mehta 2 shared papers
- Sekou L. Remy 2 shared papers
- Stephanie Houde 2 shared papers
- Alexandra Olteanu 1 shared papers
- Allan Halpern 1 shared papers
- Andrew Magstadt 1 shared papers