Adrian Calma

Orcid: 0000-0003-4380-7018

According to our database1, Adrian Calma authored at least 16 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification.
IEEE Access, 2021

2020
Active learning with uncertain annotators: towards dedicated collaborative interactive learning.
PhD thesis, 2020

2019
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality.
Proceedings of the International Joint Conference on Neural Networks, 2019

The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data.
Inf. Sci., 2018

The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Learning With Realistic Data - A Case Study.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017

Challenges of Reliable, Realistic and Comparable Active Learning Evaluation.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Simulation of Annotators for Active Learning: Uncertain Oracles.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

2016
Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

2015
Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data.
Inf. Sci., 2015

A New Vision of Collaborative Active Learning.
CoRR, 2015


  Loading...