( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Adaptive Vocabulary Construction for Frustration Intensity Modelling in Customer Support

, и . International Journal of Computer Science & Information Technology (IJCSIT), 12 (6): 01 - 15 (декабря 2020)
DOI: 10.5121/ijcsit.2020.12603

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Richard Janissen

Biomolecular based nano-manipulation with a combined atomic force microscope and single molecule fluorescence setup. Uni Düsseldorf, (2009)

Janis Mink

Janis Liebsch

Janis Augsburger

Katrin Janis

 

Другие публикации лиц с тем же именем

Modelling of Adequate Costs of Utilities Services., , , и . ICIST, том 639 из Communications in Computer and Information Science, стр. 3-17. (2016)CN2-R: Faster CN2 with randomly generated complexes.. MMAR, стр. 306-309. IEEE, (2011)Naive Augmenting Q-Learning to Process Feature-Based Representations of States.. ESANN, (2014)Spiking Neural Networks to Detect Temporal Patterns.. DB&IS, том 187 из Frontiers in Artificial Intelligence and Applications, стр. 131-142. IOS Press, (2008)Adaptive Vocabulary Construction for Frustration Intensity Modelling in Customer Support, и . International Journal of Computer Science & Information Technology (IJCSIT), 12 (6): 01 - 15 (декабря 2020)Adaptive Vocabulary Construction for Frustration Intensity Modelling in Customer Support Dialog Texts, и . International Journal of Computer Science & Information Technology (IJCSIT), 12 (6): 01 - 15 (декабря 2020)Performance Measurement Framework with Indicator Life-cycle Support., , и . DB&Local Proceedings, том 924 из CEUR Workshop Proceedings, стр. 115-127. CEUR-WS.org, (2012)Human Intelligence vs Artificial Intelligence: Secondary Term Creation in Information and Communication Technology Field., , и . Doctoral Consortium/Forum@DB&IS, том 3698 из CEUR Workshop Proceedings, стр. 33-47. CEUR-WS.org, (2024)Sequence Q-learning: A memory-based method towards solving POMDP.. MMAR, стр. 495-500. IEEE, (2015)Semi-automatic Quasi-morphological Word Segmentation for Neural Machine Translation., , и . DB&IS, том 838 из Communications in Computer and Information Science, стр. 289-301. Springer, (2018)