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07/02/2023
Numerical Association Rule Mining: A Systematic Literature Review
Numerical association rule mining is a widely used variant of the associ...
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01/31/2023
Training with Mixed-Precision Floating-Point Assignments
When training deep neural networks, keeping all tensors in high precisio...
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01/16/2023
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions
Schizophrenia (SCZ) is a brain disorder where different people experienc...
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12/01/2022
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection
Active speaker detection in videos addresses associating a source face, ...
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10/29/2022
MinUn: Accurate ML Inference on Microcontrollers
Running machine learning inference on tiny devices, known as TinyML, is ...
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09/28/2022
Machine Learning for Optical Motion Capture-driven Musculoskeletal Modeling from Inertial Motion Capture Data
Marker-based Optical Motion Capture (OMC) systems and the associated mus...
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09/24/2022
Unsupervised active speaker detection in media content using cross-modal information
We present a cross-modal unsupervised framework for active speaker detec...
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05/06/2022
Federated Learning with Noisy User Feedback
Machine Learning (ML) systems are getting increasingly popular, and driv...
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03/30/2022
Using Active Speaker Faces for Diarization in TV shows
Speaker diarization is one of the critical components of computational m...
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03/21/2022
Audio visual character profiles for detecting background characters in entertainment media
An essential goal of computational media intelligence is to support unde...
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09/30/2021
Phonetic Word Embeddings
This work presents a novel methodology for calculating the phonetic simi...
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09/01/2021
Application and Benchmark of SPH for Modeling the Impact in Thermal Spraying
The properties of a thermally sprayed coating, such as its durability or...
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09/01/2021
Quantitative Evaluation of SPH in TIG Spot Welding
While the application of the Smoothed Particle Hydrodynamics (SPH) metho...
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07/21/2021
Multi-institution encrypted medical imaging AI validation without data sharing
Adoption of artificial intelligence medical imaging applications is ofte...
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07/08/2021
MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications
Recent breakthroughs in ML have produced new classes of models that allo...
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05/10/2021
SIRNN: A Math Library for Secure RNN Inference
Complex machine learning (ML) inference algorithms like recurrent neural...
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03/29/2021
Variational Rejection Particle Filtering
We present a variational inference (VI) framework that unifies and lever...
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12/09/2020
Secure Medical Image Analysis with CrypTFlow
We present CRYPTFLOW, a system that converts TensorFlow inference code i...
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10/13/2020
CrypTFlow2: Practical 2-Party Secure Inference
We present CrypTFlow2, a cryptographic framework for secure inference ov...
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03/09/2020
Crossmodal learning for audio-visual speech event localization
An objective understanding of media depictions, such as about inclusive ...
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11/26/2019
OASIS: ILP-Guided Synthesis of Loop Invariants
Finding appropriate inductive loop invariants for a program is a key cha...
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09/17/2019
Refined α-Divergence Variational Inference via Rejection Sampling
We present an approximate inference method, based on a synergistic combi...
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09/16/2019
CrypTFlow: Secure TensorFlow Inference
We present CrypTFlow, a first of its kind system that converts TensorFlo...
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05/17/2019
Overfitting in Synthesis: Theory and Practice (Extended Version)
In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...
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05/17/2019
Overfitting in Synthesis: Theory and Practice (Extender Version)
In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...
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05/17/2019
Overfitting in Synthesis: Theory and Practice
In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...
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11/21/2017
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
User experience in modern content discovery applications critically depe...
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11/09/2017
Eventually Sound Points-To Analysis with Missing Code
Static analyses make the increasingly tenuous assumption that all source...
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11/09/2017
Active Learning of Points-To Specifications
When analyzing programs, large libraries pose significant challenges to ...
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07/21/2017