Hind, Katherine R.
29  Ergebnisse:
Personensuche X
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1

A New Upper Bound for the List Chromatic Number:

, In: Graph Colouring and Variations; Annals of Discrete Mathematics,
Bollobás, B. ; Hind, H.R. - p. 65-75 , 1989
 
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2

Health Care Device for Diabetic Patients:

, In: 2020 Advances in Science and Engineering Technology International Conferences (ASET),
 
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3

Neurogenic respiratory failure:

, In: Neurological Rehabilitation; Handbook of Clinical Neurology,
Hind, Charles R.K. - p. 295-302 , 2013
 
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4

Contributors:

, In: Cellulose Fibre Reinforced Composites,
Abir, Nafis ; Ali, Nisar ; Alves, Salete... - p. xi-xv , 2023
 
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5

Disparate Impact Diminishes Consumer Trust Even for Advanta..:

, In: Persuasive Technology; Lecture Notes in Computer Science,
 
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6

AI Explainability 360 Toolkit:

, In: 8th ACM IKDD CODS and 26th COMAD,
Arya, Vijay ; Bellamy, Rachel K. E. ; Chen, Pin-Yu... - p. 376-379 , 2021
 
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7

Experiences with Improving the Transparency of AI Models an..:

, In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems,
 
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8

AI explainability 360 : hands-on tutorial:

, In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency,
Arya, Vijay ; Bellamy, Rachel K. E. ; Chen, Pin-Yu... - p. 696 ff. , 2020
 
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9

A Scalable Blockchain Approach for Trusted Computation and ..:

, In: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC),
Raman, Ravi Kiran ; Vaculin, Roman ; Hind, Michael... - p. 277-284 , 2019
 
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10

Promoting Distributed Trust in Machine Learning and Computa..:

, In: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC),
 
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11

The Effect of Ozonation By-products on Human Embryonic Kidn..:

, In: Proceedings of AICCE'19; Lecture Notes in Civil Engineering,
 
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12

TED : Teaching AI to Explain its Decisions:

, In: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society,
Hind, Michael ; Wei, Dennis ; Campbell, Murray... - p. 123-129 , 2019
 
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13

Collaborative Human-AI (CHAI): Evidence-Based Interpretable..:

, In: Understanding and Interpreting Machine Learning in Medical Image Computing Applications; Lecture Notes in Computer Science,
 
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14

Contributors:

, In: Complications in Anesthesia,
Abel, Mark ; Adhikary, Gaury S. ; Albin, Maurice S.... - p. ix-xxiii , 2007
 
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15

Flow-sensitive interprocedural constant propagation:

, In: Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation,
Carini, Paul R. ; Hind, Michael - p. 23-31 , 1995
 
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