MLSP

Publications

2023

Francesco A. N. Palmieri, Krishna R. Pattipati, Giovanni Di Gennaro, Amedeo Buonanno, Caterina Fedele
Belief Propagation of Pareto Front in Multi-Objective MDP Graphs. MLSP (2023)
Bahadir Bilgin, Ali Sekmen
A Robustness Measure for Neural Networks. MLSP (2023)
Minghui Hu, Saihua Xu, Qinglai Liu, Mayur Katwe, Chau Yuen, Sirajudeen Gulam Razul
Locswinunet: A Neural Network for Urban Wireless Localization Using TOA and RSS Radio Maps. MLSP (2023)
Bowen Zhang, Zhijin Qin, Geoffrey Ye Li
Semantic-Aware Image Compressed Sensing. MLSP (2023)
Marcelo R. Romano, Leonardo Tomazeli Duarte, Leonardo Abdala Elias
Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal. MLSP (2023)
Akira Sasou, Satoki Ogiso, Akihiko Nagakubo
Deep Extreme Learning Machine With its Application to Body-Conducted-Sound-Based Handwork Recognition. MLSP (2023)
Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
Effective Adaptation into New Environment with Few Shots: Applications to OFDM Receiver Design. MLSP (2023)
Jean-Baptiste Fest, Audrey Repetti, Émilie Chouzenoux
A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent. MLSP (2023)
Kuan-Hsun Ho, En-Lun Yu, Jeih-Weih Hung, Berlin Chen
NAaLOSS: Rethinking the Objective of Speech Enhancement. MLSP (2023)
Stefania Altini, Vasileios Mygdalis, Ioannis Pitas
AdvRevGAN: On Reversible Universal Adversarial Attacks for Privacy Protection Applications. MLSP (2023)
Alireza Keshavarzian, Shahrokh Valaee
Raster: Representation Learning for Time Series Classification using Scatter Score and Randomized Threshold Exceedance Rate. MLSP (2023)
Cristian-Enache Zica, Bogdan Dumitrescu
Online Computation of Reduced Egonet Features for Anomaly Detection in Bank Transactions Graphs. MLSP (2023)
Manas Deb, Tokunbo Ogunfunmi
Information Channels of Deep Neural Networks. MLSP (2023)
Ambroise Heurtebise, Pierre Ablin, Alexandre Gramfort
Multiview Independent Component Analysis with Delays. MLSP (2023)
Anders Gjølbye Madsen, William Theodor Lehn-Schiøler, Áshildur Jónsdóttir, Bergdís Arnardóttir, Lars Kai Hansen
Concept-Based Explainability for an EEG Transformer Model. MLSP (2023)
Christos Chatzis, Max Pfeffer, Pedro G. Lind, Evrim Acar
A Time-Aware Tensor Decomposition for Tracking Evolving Patterns. MLSP (2023)
Iván López-Espejo, Santi Prieto, Alfonso Ortega, Eduardo Lleida
Improved Vocal Effort Transfer Vector Estimation For Vocal Effort-Robust Speaker Verification. MLSP (2023)
Vesa Saarinen, Visa Koivunen
MIMO Radar Waveform Synthesis Using Generative Adversarial Networks. MLSP (2023)
Takahiro Aizawa, Yoshiaki Bando, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai, Masaki Onishi
Unsupervised Domain Adaptation of Universal Source Separation Based on Neural Full-Rank Spatial Covariance Analysis. MLSP (2023)
Eduardo Alves da Silva, Luiz Wagner Pereira Biscainho
A Multitask Learning Approach For Sound Source Tracking With Icosahedral Convolutional Neural Networks. MLSP (2023)
Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, Vincent Y. F. Tan
Deep Unrolling for Nonconvex Robust Principal Component Analysis. MLSP (2023)
Mehdi Kafashan, Wally Lo Faro
An Algorithm Based on Topological Data Analysis for Solving Unsupervised Machine Learning Problems. MLSP (2023)
Michele Scarpiniti, Edoardo Sigismondi, Danilo Comminiello, Aurelio Uncini
A U-Net Based Architecture for Automatic Music Transcription. MLSP (2023)
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
Uncertainty Quantification For Learned ISTA. MLSP (2023)
Wenyue Xi, Ruiying Liu, Rui Cui
Volunteer Future Collaboration Prediction with Topology-Based Ensemble Models. MLSP (2023)
Sai Krishna Kopparapu, Debanjali Bhattacharya, Neelam Sinha
Spatial Encoding of EEG Brain Wave Signals to Predict Student's Mental State During E-Learning. MLSP (2023)
Yao Sun, Bo Hu, José C. Príncipe
The Kernel Maximal Correlation Filter. MLSP (2023)
Radomir Djogo, Hojjat Salehinejad, Navid Hasanzadeh, Shahrokh Valaee
Dual-Path Model With Fresnel Zone-Based Voting For Human Activity Recognition Using WI-FI. MLSP (2023)
Prajit T. Rajendran, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha
Stream-Based Active Learning with Adaptive Uncertainty and Diversity Thresholds. MLSP (2023)
Samayan Bhattacharya, Alexis Bennett, Celina Alba, Kseniia Kriukova, Dominique Duncan
Unsupervised Seizure Detection in Eeg Using Long Short Term Memory Network and Clustering. MLSP (2023)
Çagkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutyniok, Giuseppe Caire
Overview of the Urban Wireless Localization Competition. MLSP (2023)
Mohammad Karimzadeh, Aleksandar Vakanski, Min Xian, Boyu Zhang
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-Task Framework for Breast Cancer Detection and Segmentation. MLSP (2023)
Zexin Fang, Bin Han, C. Clark Cao, Hans D. Schotten
Artificial ASMR: A Cyber-Psychological Approach. MLSP (2023)
Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Christopher J. Tape, Guy Wolf, Smita Krishnaswamy
Geodesic Sinkhorn For Fast and Accurate Optimal Transport on Manifolds. MLSP (2023)
Mykola Lukashchuk, Ismail Senöz, Bert de Vries
Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing. MLSP (2023)
Ishan D. Khurjekar, Peter Gerstoft
DOA Uncertainty Quantification With Conformal Prediction. MLSP (2023)
Mohamed AbdAllah, Mohamed Emad Mousa Rasmy, Muhammad Ali Rushdi
Multi-Contrast MRI Image Translation via Pathology-Aware Generative Adversarial Networks. MLSP (2023)
Giovanni Di Gennaro, Amedeo Buonanno, Francesco A. N. Palmieri, Krishna R. Pattipati, Martina Merola
Path Planning of Multiple Agents Through Probability Flow. MLSP (2023)
Christos Kolomvakis, Arnaud Vandaele, Nicolas Gillis
Algorithms for Boolean Matrix Factorization using Integer Programming. MLSP (2023)
Riccardo Miccini, Alaa Zniber, Clément Laroche, Tobias Piechowiak, Martin Schoeberl, Luca Pezzarossa, Ouassim Karrakchou, Jens Sparsø, Mounir Ghogho
Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting. MLSP (2023)
Yi-Cheng Lo, Cheng-Lin Hsieh, An-Yeu Andy Wu
Constraints-Aware Trainable Pruning With System Optimization For The On-Demand Offloading Edge-Cloud Collaborative System. MLSP (2023)
Henri Makika, João Marcos Travassos Romano, Rosangela Ballini
Deep Learning Techniques For Time Series Forecasting: An Application For Exchange Rates. MLSP (2023)
Hans-Andrea Loeliger
On NUP Priors and Gaussian Message Passing. MLSP (2023)
José D. Jiménez-López, Rosa M. Fernández-Alcalá, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina
The Distributed Fusion Filtering Problem Of Tessarine Signals From Multisensor Observations Affected With Packet Dropouts. MLSP (2023)
Tal Kiani, Avi Caciularu, Shani Zev, Dan Thomas Major, Jacob Goldberger
Utilizing Perturbation of Atoms' Positions for Equivariant Pre-Training in 3D Molecular Analysis. MLSP (2023)
Hyunwoo Park, Hyeonjin Chung, Sunwoo Kim
Semi-Supervised Learning-Based Approach for DOA Estimation Under Hardware Impairments. MLSP (2023)
Jianhong Ye, Yi Yu, Badong Chen, Zongsheng Zheng
Optimal Subband Adaptive Filtering Algorithm Over Functional Link Neural Network. MLSP (2023)
Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors. MLSP (2023)
Michela Proietti, Alessio Ragno, Roberto Capobianco
Memory Replay For Continual Learning With Spiking Neural Networks. MLSP (2023)
Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
Entropic Wasserstein Component Analysis. MLSP (2023)