Dimitrios Dimitriadis

According to our database, Dimitrios Dimitriadis authored at least 77 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Personalized Federated Learning With Adaptive Batchnorm for Healthcare.

Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin

IEEE Trans. Big Data, December, 2024

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.

Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr

CoRR, 2024

Can Synthetic Audio From Generative Foundation Models Assist Audio Recognition and Speech Modeling?

Tiantian Feng, Dimitrios Dimitriadis, Shrikanth Narayanan

CoRR, 2024

Predicting Uncertainty of Generative LLMs with MARS: Meaning-Aware Response Scoring.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Salman Avestimehr, Chenyang Tao, Dimitrios Dimitriadis

Proceedings of the IEEE International Symposium on Information Theory, 2024

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning.

Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

Proceedings of the Computer Vision - ECCV 2024, 2024

Invariant Aggregator for Defending against Federated Backdoor Attacks.

Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs.

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Federated benchmarking of medical artificial intelligence with MedPerf.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Nat. Mac. Intell., July, 2023

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts.

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis

CoRR, 2023

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage.

Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels.

Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Counterfactual Augmentation for Multimodal Learning Under Presentation Bias.

Victoria Lin, Louis-Philippe Morency, Dimitrios Dimitriadis, Srinagesh Sharma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Federated Multilingual Models for Medical Transcript Analysis.

Andre Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis

Proceedings of the Conference on Health, Inference, and Learning, 2023

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout.

Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Machine learning and natural language processing techniques for question answering

Dimitrios Dimitriadis

PhD thesis, 2022

A review of speaker diarization: Recent advances with deep learning.

Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu Jeong Han, Shinji Watanabe, Shrikanth Narayanan

Comput. Speech Lang., 2022

Invariant Aggregator for Defending Federated Backdoor Attacks.

Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople

CoRR, 2022

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations.

Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal Diaz, Andre Manoel, Robert Sim

CoRR, 2022

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis.

Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning.

Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal.

Tae Jin Park, Ken'ichi Kumatani, Dimitrios Dimitriadis

CoRR, 2021

Dynamic Gradient Aggregation for Federated Domain Adaptation.

Dimitrios Dimitriadis, Ken'ichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

CoRR, 2021

One-Shot Voice Conversion with Speaker-Agnostic StarGAN.

Sefik Emre Eskimez, Dimitrios Dimitriadis, Ken'ichi Kumatani, Robert Gmyr

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Ensemble Combination between Different Time Segmentations.

Jeremy Heng Meng Wong, Dimitrios Dimitriadis, Ken'ichi Kumatani, Yashesh Gaur, George Polovets, Partha Parthasarathy, Eric Sun, Jinyu Li, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Federated Transfer Learning with Dynamic Gradient Aggregation.

Dimitrios Dimitriadis, Ken'ichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

CoRR, 2020

An empirical analysis of the dynamic interactions among ethanol, crude oil and corn prices in the US market.

Dimitrios Dimitriadis, Constantinos Katrakilidis

Ann. Oper. Res., 2020

Sequence-Level Self-Learning with Multiple Hypotheses.

Ken'ichi Kumatani, Dimitrios Dimitriadis, Yashesh Gaur, Robert Gmyr, Sefik Emre Eskimez, Jinyu Li, Michael Zeng

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

GAN-Based Data Generation for Speech Emotion Recognition.

Sefik Emre Eskimez, Dimitrios Dimitriadis, Robert Gmyr, Kenichi Kumanati

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Federated Approach in Training Acoustic Models.

Dimitrios Dimitriadis, Ken'ichi Kumatani, Robert Gmyr, Yashesh Gaur, Sefik Emre Eskimez

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings.

Dave Makhervaks, William Hinthorn, Dimitrios Dimitriadis, Andreas Stolcke

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Memory Augmented Architecture for Continuous Speaker Identification in Meetings.

Nikolaos Flemotomos, Dimitrios Dimitriadis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Enhancements for Audio-only Diarization Systems.

Dimitrios Dimitriadis

CoRR, 2019

Meeting Transcription Using Virtual Microphone Arrays.

Takuya Yoshioka, Zhuo Chen, Dimitrios Dimitriadis, William Hinthorn, Xuedong Huang, Andreas Stolcke, Michael Zeng

CoRR, 2019

Meeting Transcription Using Asynchronous Distant Microphones.

Takuya Yoshioka, Dimitrios Dimitriadis, Andreas Stolcke, William Hinthorn, Zhuo Chen, Michael Zeng, Xuedong Huang

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Low-latency Speaker-independent Continuous Speech Separation.

Takuya Yoshioka, Zhuo Chen, Changliang Liu, Xiong Xiao, Hakan Erdogan, Dimitrios Dimitriadis

Proceedings of the IEEE International Conference on Acoustics, 2019

Single-channel Speech Extraction Using Speaker Inventory and Attention Network.

Xiong Xiao, Zhuo Chen, Takuya Yoshioka, Hakan Erdogan, Changliang Liu, Dimitrios Dimitriadis, Jasha Droppo, Yifan Gong

Proceedings of the IEEE International Conference on Acoustics, 2019

Acoustic and Lexical Sentiment Analysis for Customer Service Calls.

Bryan Li, Dimitrios Dimitriadis, Andreas Stolcke

Proceedings of the IEEE International Conference on Acoustics, 2019

Advances in Online Audio-Visual Meeting Transcription.

Takuya Yoshioka, Yan Huang, Aviv Hurvitz, Li Jiang, Sharon Koubi, Eyal Krupka, Ido Leichter, Changliang Liu, Partha Parthasarathy, Alon Vinnikov, Lingfeng Wu, Igor Abramovski, Xiong Xiao, Wayne Xiong, Huaming Wang, Zhenghao Wang, Jun Zhang, Yong Zhao, Tianyan Zhou, Cem Aksoylar, Zhuo Chen, Moshe David, Dimitrios Dimitriadis, Yifan Gong, Ilya Gurvich, Xuedong Huang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

Improving End-of-Turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task.

Zakaria Aldeneh, Dimitrios Dimitriadis, Emily Mower Provost

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

English Conversational Telephone Speech Recognition by Humans and Machines.

George Saon, Gakuto Kurata, Tom Sercu, Kartik Audhkhasi, Samuel Thomas, Dimitrios Dimitriadis, Xiaodong Cui, Bhuvana Ramabhadran, Michael Picheny, Lynn-Li Lim, Bergul Roomi, Phil Hall

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Capturing Long-Term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition.

Soheil Khorram, Zakaria Aldeneh, Dimitrios Dimitriadis, Melvin G. McInnis, Emily Mower Provost

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Progressive Neural Networks for Transfer Learning in Emotion Recognition.

John Gideon, Soheil Khorram, Zakaria Aldeneh, Dimitrios Dimitriadis, Emily Mower Provost

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Developing On-Line Speaker Diarization System.

Dimitrios Dimitriadis, Petr Fousek

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Pooling acoustic and lexical features for the prediction of valence.

Zakaria Aldeneh, Soheil Khorram, Dimitrios Dimitriadis, Emily Mower Provost

Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

Speaker diarization: A perspective on challenges and opportunities from theory to practice.

Kenneth Church, Weizhong Zhu, Josef Vopicka, Jason W. Pelecanos, Dimitrios Dimitriadis, Petr Fousek

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

An Investigation on the Use of i-Vectors for Robust ASR.

Dimitrios Dimitriadis, Samuel Thomas, Sriram Ganapathy

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

CNMF-based acoustic features for noise-robust ASR.

Colin Vaz, Dimitrios Dimitriadis, Samuel Thomas, Shrikanth S. Narayanan

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

On the importance of event detection for ASR.

David Haws, Dimitrios Dimitriadis, George Saon, Samuel Thomas, Michael Picheny

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Use of Micro-Modulation Features in Large Vocabulary Continuous Speech Recognition Tasks.

Dimitrios Dimitriadis, Enrico Bocchieri

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Investigating factor analysis features for deep neural networks in noisy speech recognition.

Sriram Ganapathy, Samuel Thomas, Dimitrios Dimitriadis, Steven J. Rennie

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

Enhancing audio source separability using spectro-temporal regularization with NMF.

Colin Vaz, Dimitrios Dimitriadis, Shrikanth S. Narayanan

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Emotion classification of speech using modulation features.

Theodora Chaspari, Dimitrios Dimitriadis, Petros Maragos

Proceedings of the 22nd European Signal Processing Conference, 2014

Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine.

Yannis Papanikolaou, Dimitrios Dimitriadis, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Incremental emotion recognition.

Taniya Mishra, Dimitrios Dimitriadis

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Robust speech enhancement techniques for ASR in non-stationary noise and dynamic environments.

Gang Liu, Dimitrios Dimitriadis, Enrico Bocchieri

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

On the improvement of multimodal voice activity detection.

Matt Burlick, Dimitrios Dimitriadis, Eric Zavesky

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Instantaneous frequency and bandwidth estimation using filterbank arrays.

Pirros Tsiakoulis, Alexandros Potamianos, Dimitrios Dimitriadis

Proceedings of the IEEE International Conference on Acoustics, 2013

Investigating deep neural network based transforms of robust audio features for LVCSR.

Enrico Bocchieri, Dimitrios Dimitriadis

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Dominant spatio-temporal modulations and energy tracking in videos: Application to interest point detection for action recognition.

Christos Georgakis, Petros Maragos, Georgios Evangelopoulos, Dimitrios Dimitriadis

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

On the Effects of Filterbank Design and Energy Computation on Robust Speech Recognition.

Dimitrios Dimitriadis, Petros Maragos, Alexandros Potamianos

IEEE Trans. Speech Audio Process., 2011

Combining Frame and Segment Level Processing via Temporal Pooling for Phonetic Classification.

Sumit Chopra, Patrick Haffner, Dimitrios Dimitriadis

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

An alternative front-end for the AT&T WATSON LV-CSR system.

Dimitrios Dimitriadis, Enrico Bocchieri, Diamantino Caseiro

Proceedings of the IEEE International Conference on Acoustics, 2011

Speech recognition modeling advances for mobile voice search.

Enrico Bocchieri, Diamantino Caseiro, Dimitrios Dimitriadis

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Spectral Moment Features Augmented by Low Order Cepstral Coefficients for Robust ASR.

Pirros Tsiakoulis, Alexandros Potamianos, Dimitrios Dimitriadis

IEEE Signal Process. Lett., 2010

2009

A comparison of the squared energy and Teager-Kaiser operators for short-term energy estimation in additive noise.

Dimitrios Dimitriadis, Alexandros Potamianos, Petros Maragos

IEEE Trans. Signal Process., 2009

GridNews: A distributed automatic Greek broadcast transcription system.

Dimitrios Dimitriadis, A. Metallinou, Ioannis Konstantinou, Georgios I. Goumas, Petros Maragos, Nectarios Koziris

Proceedings of the IEEE International Conference on Acoustics, 2009

Short-time instantaneous frequency and bandwidth features for speech recognition.

Pirros Tsiakoulis, Alexandros Potamianos, Dimitrios Dimitriadis

Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2007

Advanced front-end for robust speech recognition in extremely adverse environments.

Dimitrios Dimitriadis, José C. Segura, Luz García, Alexandros Potamianos, Petros Maragos, Vassilis Pitsikalis

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Multiband, multisensor robust features for noisy speech recognition.

Dimitrios Dimitriadis, Petros Maragos, Stamatios Lefkimmiatis

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

2006

Continuous energy demodulation methods and application to speech analysis.

Dimitrios Dimitriadis, Petros Maragos

Speech Commun., 2006

An optimum microphone array post-filter for speech applications.

Stamatios Lefkimmiatis, Dimitrios Dimitriadis, Petros Maragos

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

2005

Robust AM-FM Features for Speech Recognition.

Dimitrios Dimitriadis, Petros Maragos, Alexandros Potamianos

IEEE Signal Process. Lett., 2005

Auditory Teager energy cepstrum coefficients for robust speech recognition.

Dimitrios Dimitriadis, Petros Maragos, Alexandros Potamianos

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

2003

Continuous-time models for AM-FM signal demodulation and their application to speech recognition.

Dimitrios Dimitriadis, Petros Maragos

Proceedings of the ITRW on Non-Linear Speech Processing, 2003

Robust energy demodulation based on continuous models with application to speech recognition.

Dimitrios Dimitriadis, Petros Maragos

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002

Modulation features for speech recognition.

Dimitrios Dimitriadis, Petros Maragos, Alexandros Potamianos

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

An improved energy demodulation algorithm using splines.

Dimitrios Dimitriadis, Petros Maragos

Proceedings of the IEEE International Conference on Acoustics, 2001