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Papers matching “train separation” 94

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Speech separation for hearing-impaired children in the classroom
2026 The Journal of the Acoustical Society of America article Computer Science Speech and Audio Processing Open access

Feyisayo Olalere, Kiki van der Heijden, Hendrik Christiaan Stronks, Jeroen Johannes Briaire, Johan H. M. Frijns, Yağmur Güçlütürk

0

citations
Leveraging Spatial Cues from Cochlear Implant Microphones to Efficiently Enhance Speech Separation in Real-World Listening Scenes
2025 arXiv (Cornell University) preprint Computer Science Speech and Audio Processing Open access

Feyisayo Olalere, Kiki van der Heijden, Christiaan H. Stronks, Jeroen Johannes Briaire, Johan H. M. Frijns, Marcel A. J. van Gerven

0

citations
Mixture Encoder for Joint Speech Separation and Recognition
2023 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Simon Berger, Peter Vieting, Christoph Boeddeker, Ralf Schlüter, Reinhold Haeb‐Umbach

0

citations
A New Separation Index and Classification Techniques Based on Shannon Entropy
2023 Methodology And Computing In Applied Probability article Computer Science Bayesian Methods and Mixture Models Open access

Jorge Navarro, Francesco Buono, Jorge M. Arevalillo

9

citations
Provable learning separation for predicting time-evolution of quantum many-body systems
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Rahul Bandyopadhyay, Riccardo Molteni, Jens Eisert, Vedran Dunjko, Sofiène Jerbi

0

citations
Analysis of Domain Shift across ASR Architectures via TTS-Enabled Separation of Target Domain and Acoustic Conditions
2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) conference-paper Computer Science Speech Recognition and Synthesis

Tina Raissi, Nick Rossenbach, Ralf Schlüter

0

citations
Automatic Brake Systems
2024 Lecture notes in mobility book-chapter Computer Science Transportation Systems and Safety

Raphael Pfaff

0

citations
Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI)
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Lisa Kohl, Sebastian Schmitt, Vedran Dunjko

0

citations
Limitations of measure-first protocols in quantum machine learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Casper Gyurik, Riccardo Molteni, Vedran Dunjko

0

citations
Efficient hybrid multiobjective optimization of pressure swing adsorption
2021 Chemical Engineering Journal article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Zhimian Hao, Adrian Caspari, Artur M. Schweidtmann, Yannic Vaupel, Alexei A. Lapkin, Adel Mhamdi

57

citations
Multi-fidelity graph neural networks for predicting toluene/water partition coefficients
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai O. Leonhard

5

citations
Multi-fidelity graph neural networks for predicting toluene/water partition coefficients
2025 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai O. Leonhard

3

citations
From Tensor Networks to Tractable Circuits, and Back
2026 conference-paper Computer Science Advanced Graph Theory Research Open access

Arend-Jan Quist, Marc Farreras, Alexis de Colnet, John van de Wetering, Alfons Laarman

0

citations
From Tensor Networks to Tractable Circuits, and back
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Arend-Jan Quist, Marc Farreras Bartra, Alexis de Colnet, John van de Wetering, Alfons Laarman

0

citations
From Tensor Networks to Tractable Circuits, and back
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Arend-Jan Quist, Marc Farreras Bartra, Alexis de Colnet, John van de Wetering, Alfons Laarman

0

citations
CANDOR: Chance-Calibrated Neighborhood Discordance in Frozen Encoders for Medical Imaging
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Soroosh Tayebi Arasteh, Sven Nebelung, Daniel Truhn

0

citations
Lightweight Automatic Modulation Classification Based on Decentralized Learning
2021 IEEE Transactions on Cognitive Communications and Networking article Computer Science Wireless Signal Modulation Classification

Xue Gang Fu, Guan Gui, Yu Wang, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, Haris Gacanin, +1 more

96

citations
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization - Reproducibility Repository
2023 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovič, Ana Nikolikj, Urban Škvorc, +3 more

0

citations
Training of AI Models Beyond the Local Dataset Using Federated Learning with 695,000 Non-Identically-Labeled Chest Radiographs
2023 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren article Computer Science Privacy-Preserving Technologies in Data

Soroosh Tayebi Arasteh, Peter Isfort, Marwin-Jonathan Sähn, Christiane Katharina Kuhl, Daniel Truhn, Sven Nebelung

0

citations
Lightweight Network and Model Aggregation for Automatic Modulation Classification in Wireless Communications
2021 IEEE Wireless Communications and Networking Conference conference-paper Computer Science Wireless Signal Modulation Classification

Xue Gang Fu, Guan Gui, Yu Wang, Tomoaki Otsuki Ohtsuki, Bamidele Adebisi, Haris Gacanin, +1 more

5

citations
Fine-grained Expressivity of Graph Neural Networks
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Böker, Ron Levie, Ningyuan Teresa Huang, Soledad Villar

4

citations
Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Weize Cai, Yongqi Dong, Zhida Shao, Zixin Fu

0

citations
Privacy-Preserving Deep Learning for the Detection of Protected Health Information in Real-World Data: Comparative Evaluation
2020 JMIR Formative Research article Computer Science Privacy-Preserving Technologies in Data Open access

Sven Festag, Cord Spreckelsen

12

citations
Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography
2020 IEEE Transactions on Computational Imaging article Computer Science Image and Signal Denoising Methods Open access

146

citations
The Influence of Inhomogeneous Input Data from Different Waves on Predictive Model Development for COVID-19 ICU Patients (Preprint)
2021 preprint Computer Science Machine Learning in Healthcare Open access

Sebastian Johannes Fritsch, Konstantin Sharafutdinov, Moein E. Samadi, Gernot Marx, Andreas Schuppert, Johannes Bickenbach

0

citations