|
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Alejo, L.; Atkinson, J.; Arriagada, C.; Guzman-Fierro, V.; Roeckel, M. |
Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques (vol 25, pg 21149, 2018) |
2019 |
Environmental Science And Pollution Research |
26 |
5234-5234 |
|
|
Alejo, L.; Atkinson, J.; Guzman-Fierro, V.; Roeckel, M. |
Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques |
2018 |
Environmental Science And Pollution Research |
25 |
21149-21163 |
|
|
Alejo, L.; Atkinson, J.; Lackner, S. |
Looking deeper – exploring hidden patterns in reactor data of N-removal systems through clustering analysis |
2020 |
Water Science and Technology |
81 |
1569-1577 |
|
|
Atkinson, J.; Escudero, A. |
Evolutionary natural-language coreference resolution for sentiment analysis |
2022 |
International Journal of Information Management Data Insights |
2 |
100115 |
|
|
Atkinson, J.; Maurelia, A. |
Redundancy-Based Trust in Question-Answering Systems |
2017 |
Computer |
50 |
58-65 |
|
|
Figueroa, A.; Atkinson, J. |
Dual-View Learning for Detecting Web Query Intents |
2019 |
Computer |
52 |
34-42 |
|
|
Palma, D.; Atkinson, J. |
Coherence-Based Automatic Essay Assessment |
2018 |
Ieee Intelligent Systems |
33 |
26-36 |
|
|
Reyes, D.; Atkinson, J. |
Person Re-identification Using Masked Keypoints |
2018 |
Lecture Notes in Computer Sciences |
10868 |
45-56 |
|