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Nikolaos Flemotomos
Nikolaos Flemotomos
Machine Learning Researcher, Apple
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
Machine learning and natural language processing in psychotherapy research: Alliance as example use case.
SB Goldberg, N Flemotomos, VR Martinez, MJ Tanana, PB Kuo, BT Pace, ...
Journal of counseling psychology 67 (4), 438, 2020
902020
Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies
N Flemotomos, VR Martinez, Z Chen, K Singla, V Ardulov, R Peri, ...
Behavior Research Methods 54 (2), 690-711, 2021
572021
Language Features for Automated Evaluation of Cognitive Behavior Psychotherapy Sessions.
N Flemotomos, VR Martinez, J Gibson, DC Atkins, TA Creed, ...
Interspeech, 1908-1912, 2018
292018
Using prosodic and lexical information for learning utterance-level behaviors in psychotherapy
K Singla, Z Chen, N Flemotomos, J Gibson, D Can, DC Atkins, ...
Interspeech 2018, 3413, 2018
252018
Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations
N Flemotomos, VR Martinez, Z Chen, TA Creed, DC Atkins, S Narayanan
PLOS ONE 16 (10), e0258639, 2021
242021
Linguistically aided speaker diarization using speaker role information
N Flemotomos, P Georgiou, S Narayanan
Proc. The Speaker and Language Recognition Workshop (Odyssey 2020), 117-124, 2020
21*2020
Combined Speaker Clustering and Role Recognition in Conversational Speech.
N Flemotomos, P Papadopoulos, J Gibson, SS Narayanan
Interspeech, 1378-1382, 2018
172018
Feature fusion strategies for end-to-end evaluation of cognitive behavior therapy sessions
Z Chen, N Flemotomos, V Ardulov, TA Creed, ZE Imel, DC Atkins, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
112021
The Second DIHARD Challenge: System Description for USC-SAIL Team.
TJ Park, M Kumar, N Flemotomos, M Pal, R Peri, R Lahiri, PG Georgiou, ...
INTERSPEECH, 998-1002, 2019
112019
Identifying therapist and client personae for therapeutic alliance estimation
VR Martinez, N Flemotomos, V Ardulov, K Somandepalli, SB Goldberg, ...
Interspeech 2019, 1901, 2019
102019
A memory augmented architecture for continuous speaker identification in meetings
N Flemotomos, D Dimitriadis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
82020
An automated quality evaluation framework of psychotherapy conversations with local quality estimates
Z Chen, N Flemotomos, K Singla, TA Creed, DC Atkins, S Narayanan
Computer speech & language 75, 101380, 2022
62022
Role specific lattice rescoring for speaker role recognition from speech recognition outputs
N Flemotomos, P Georgiou, DC Atkins, S Narayanan
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
62019
The silent treatment? Changes in patient emotional expression after silence
CS Soma, BE Wampold, N Flemotomos, R Peri, S Narayanan, DC Atkins, ...
Counselling and Psychotherapy Research 23 (2), 378-388, 2023
32023
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios
Z Chen, N Flemotomos, ZE Imel, DC Atkins, S Narayanan
Findings of the Association for Computational Linguistics: EMNLP 2022, 5787-5795, 2022
32022
Multimodal Clustering with Role Induced Constraints for Speaker Diarization
N Flemotomos, S Narayanan
Proceedings of Interspeech, 5075-5079, 2022
32022
Role annotated speech recognition for conversational interactions
N Flemotomos, Z Chen, DC Atkins, S Narayanan
2018 IEEE Spoken Language Technology Workshop (SLT), 1036-1043, 2018
32018
A Machine-Learning Algorithm for the Automated Perceptual Evaluation of Dysphonia Severity
B van der Woerd, Z Chen, N Flemotomos, M Oljaca, LT Sund, ...
Journal of Voice, 2023
2023
A machine learning approach to improve implementation monitoring of family-based preventive interventions in primary care
C Berkel, DC Knox, N Flemotomos, VR Martinez, DC Atkins, ...
Implementation Research and Practice 4, 26334895231187906, 2023
2023
An evaluation of machine learning methods to improve the feasibility of fidelity monitoring of family-based prevention in primary care
C Berkel, D Knox, N Flemotomos, D Atkins, S Narayanan
IMPLEMENTATION SCIENCE 17 (SUPPL 1), 2022
2022
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Articles 1–20