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ICASSP 2024: Seoul, Republic of Korea - Workshops
- IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Workshops, Seoul, Republic of Korea, April 14-19, 2024. IEEE 2024, ISBN 979-8-3503-7451-3
- Yujia Sun, Jinxin He, Yi Zhang, Xiaoming Liang, Ziyan Wang, Zhen Fu, Bo Chen:
The Fawaispeech System for Multi-Channel Speech Recognition in ICMC-ASR Challenge. 1-2 - Jingguang Tian, Shuaishuai Ye, Shunfei Chen, Yang Xiang, Zhaohui Yin, Xinhui Hu, Xinkang Xu:
The Royalflush Automatic Speech Diarization and Recognition System for In-Car Multi-Channel Automatic Speech Recognition Challenge. 1-2 - Minghui Wu, Luzhen Xu, Jie Zhang, Haitao Tang, Yanyan Yue, Ruizhi Liao, Jintao Zhao, Zhengzhe Zhang, Yichi Wang, Haoyin Yan, Hongliang Yu, Tongle Ma, Jiachen Liu, Chongliang Wu, Yongchao Li, Yanyong Zhang, Xin Fang, Yue Zhang:
The USTC-Nercslip Systems for the ICMC-ASR Challenge. 3-4 - Shangkun Huang, Yuxuan Du, Yankai Wang, Jing Deng, Rong Zheng:
The Fosafer System for The ICASSP2024 In-Car Multi-Channel Automatic Speech Recognition Challenge. 5-6 - Yuan Fang, Hao Li, Xueliang Zhang, Fei Chen, Guanglai Gao:
Cross-Attention-Guided Wavenet for Mel Spectrogram Reconstruction in The ICASSP 2024 Auditory EEG Challenge. 7-8 - Xingwei Sun, Qinglong Li, Kaichi Ma, Linzhang Wang, Yujun Wang:
Two-Stage Neural Network Model with Packet Loss Detection for ICASSP 2024 PLC Challenge. 9-10 - Zhongshu Hou, Tianchi Sun, Yuxiang Hu, Changbao Zhu, Kai Chen, Jing Lu:
SIR-Progressive Audio-Visual TF-Gridnet with ASR-Aware Selector for Target Speaker Extraction in MISP 2023 Challenge. 11-12 - Changheon Han, Suhyun Lee:
Optimizing Music Source Separation In Complex Audio Environments Through Progressive Self-Knowledge Distillation. 13-14 - Nicolae-Catalin Ristea, Ando Saabas, Ross Cutler, Babak Naderi, Sebastian Braun, Solomiya Branets:
ICASSP 2024 Speech Signal Improvement Challenge. 15-16 - Xuzhi Zhao, Xi Liu, Xinyi Wang, Rui Yang, Yi Du, Yahui Peng:
Dual-Domain Neural Networks for Clinical and Low-Dose CBCT Reconstruction. 17-18 - Han Yin, Mou Wang, Jisheng Bai, Dongyuan Shi, Woon-Seng Gan, Jianfeng Chen:
Sub-Band and Full-Band Interactive U-Net with Dprnn for Demixing Cross-Talk Stereo Music. 21-22 - Zihan Zhang, Jiayao Sun, Xianjun Xia, Chuanzeng Huang, Yijian Xiao, Lei Xie:
Bs-Plcnet: Band-Split Packet Loss Concealment Network with Multi-Task Learning Framework and Multi-Discriminators. 23-24 - Sang-Hoon Lee, Ha-Yeong Choi, Seong-Whan Lee:
Cross-Lingual Text-to-Speech via Hierarchical Style Transfer. 25-26 - Runduo Han, Xiaopeng Yan, Weiming Xu, Pengcheng Guo, Jiayao Sun, He Wang, Quan Lu, Ning Jiang, Lei Xie:
An Audio-Quality-Based Multi-Strategy Approach For Target Speaker Extraction in the Misp 2023 Challenge. 27-28 - Xiang Lyu, Yuhang Cao, Pengpeng Zou, Weilin Zhou:
Ximalaya ASDR System for ICASSP 2024 in-Car Multi-Channel (ICMC) ASR Challenge. 29-30 - Qinwen Hu, Tianyi Tan, Ming Tang, Yuxiang Hu, Changbao Zhu, Jing Lu:
General Speech Restoration Using Two-Stage Generative Adversarial Networks. 31-32 - Guochen Yu, Runqiang Han, Chenglin Xu, Haoran Zhao, Nan Li, Chen Zhang, Xiguang Zheng, Chao Zhou, Qi Huang, Bing Yu:
Ks-Net: Multi-Band Joint Speech Restoration and Enhancement Network for 2024 ICASSP SSI Challenge. 33-34 - Nan Li, Guochen Yu, Chen Zhang, Chao Zhou, Qi Huang, Bing Yu:
Multi-Stage Training For Cross-Domain Full-Band Audio Packet Loss Concealment. 35-36 - Fengyuan Hao, Huiyong Zhang, Lingling Dai, Xiaoxue Luo, Xiaodong Li, Chengshi Zheng:
Renet: A Time-Frequency Domain General Speech Restoration Network for Icassp 2024 Speech Signal Improvement Challenge. 37-38 - Longjie Luo, Tao Li, Lin Li, Qingyang Hong:
The Xmuspeech System for Audio-Visual Target Speaker Extraction in Misp 2023 Challenge. 39-40 - Lorenz Diener, Solomiya Branets, Ando Saabas, Ross Cutler:
The Icassp 2024 Audio Deep Packet Loss Concealment Grand Challenge. 41-42 - Alice Hein, Sven Gronauer, Klaus Diepold:
Patient-Specific Modeling of Daily Activity Patterns for Unsupervised Detection of Psychotic and Non-Psychotic Relapses. 43-44 - Lukas Henneke:
Improving Data-Driven RF Signal Separation with SOI-Matched Autoencoders. 45-46 - Jinting Wu, Mei Tu:
Unsupervised Relapse Detection Using Wearable-Based Digital Phenotyping for the 2nd E-Prevention Challenge. 47-48 - Mingshuai Liu, Zhuangqi Chen, Xiaopeng Yan, Yuanjun Lv, Xianjun Xia, Chuanzeng Huang, Yijian Xiao, Lei Xie:
Rad-Net: A Repairing and Denoising Network for Speech Signal Improvement. 49-50 - Ana Clara C. Silveira, Diedre Santos do Carmo, Lucas H. Ueda, Denis G. Fantinato, Paula D. P. Costa, Letícia Rittner:
Vision Transformer MST++: Efficient Hyperspectral Skin Reconstruction. 51-52 - Tejas Jayashankar, Binoy Kurien, Alejandro Lancho, Gary C. F. Lee, Yury Polyanskiy, Amir Weiss, Gregory W. Wornell:
The Data-Driven Radio Frequency Signal Separation Challenge. 53-54 - Mike Thornton, Jonas Auernheimer, Constantin Jehn, Danilo P. Mandic, Tobias Reichenbach:
Detecting Gamma-Band Responses to the Speech Envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. 55-56 - Hongbo Lan, Tianyou Cheng, Maokui He, Hang Chen, Jun Du:
The USTC System for Cadenza 2024 Challenge. 57-58 - Pai Chet Ng, Zhixiang Chi, Malcolm Low, Juwei Lu, Konstantinos N. Plataniotis, Nikolaos V. Boulgouris, Thirimachos Bourlai, Yong Man Ro:
Hyperspectral Skin Vision Challenge: Can Your Camera See Beyond Your Skin? 59-60 - Abhayjeet Singh, Amala Nagireddi, Deekshitha G, Jesuraja Bandekar, Roopa R., Sandhya Badiger, Sathvik Udupa, Prasanta Kumar Ghosh, Hema A. Murthy, Pranaw Kumar, Keiichi Tokuda, Mark Hasegawa-Johnson, Philipp Olbrich:
LIMMITS'24: Multi-Speaker, Multi-Lingual Indic TTS with Voice Cloning. 61-62 - He Wang, Pengcheng Guo, Yue Li, Ao Zhang, Jiayao Sun, Lei Xie, Wei Chen, Pan Zhou, Hui Bu, Xin Xu, Binbin Zhang, Zhuo Chen, Jian Wu, Longbiao Wang, Eng Siong Chng, Sun Li:
ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge. 63-64 - Nikhil Das, Rakesh Pogula, Mohammad Imtiaz Ali, Sasank Kottapalli, Sanniboyina Venkata Kiran:
Rebuild, Regenerate: A Gated Temporal Convolution Based Gan for Speech Signal Improvement. 65-66 - Yejin Jeon, Youngjae Kim, Gary Geunbae Lee:
Leveraging Effective Language and Speaker Conditioning In Indic TTS for Limmits 2024 Challenge. 67-68 - Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix:
A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints. 69-70 - Yixuan Zhou, Shuoyi Zhou, Shun Lei, Zhiyong Wu, Menglin Wu:
The THU-HCSI Multi-Speaker Multi-Lingual Few-Shot Voice Cloning System for LIMMITS'24 Challenge. 71-72 - Daniil Vladimirov, Daniil Reutsky, Pavel Pischev, Vsevolod Plokhotnyuk, Egor I. Ershov:
MST-: A Modification of MST++ for Narrow Domain Hyperspectral Reconstruction. 73-74 - Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter:
Monai for Deep-Learning Based CBCT Reconstruction. 75-76 - Lingling Dai, Yuxuan Ke, Huiyong Zhang, Fengyuan Hao, Xiaoxue Luo, Xiaodong Li, Chengshi Zheng:
A Time-Frequency Band-Split Neural Network For Real-Time Full-Band Packet Loss Concealment. 77-78 - Yu Tian, Ahmed Alhammadi, Abdullah Quran, Abubakar Sani Ali:
A Novel Approach to Wavenet Architecture for RF Signal Separation with Learnable Dilation and Data Augmentation. 79-80 - Ander Biguri, Subhadip Mukherjee:
Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction. 81-82 - Hao-Chiang Shao, Szu-Chi Wu, Yen-Liang Chuo, Jyun-Hao Lin, Yuan-Rong Liao, Tse-Yu Tseng:
RGBT2HS-Net: Reconstructing a Hyper-Spectral Volume from an Rgb-T Stack via an Attention-Powered Multiresolution Framework. 83-84 - Austin Yunker, Rajkumar Kettimuthu, John C. Roeske:
Low Dose CBCT Denoising Using a 3D U-Net. 85-86 - Yuchen Wang, Hongyuan Wang, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Lizhi Wang:
Hysat++: Hybrid Spectral-Wise Attention Transformer for Skin Spectral Reconstruction. 87-88 - Kamil Górzynski, Anna Ples, Ivan Ryzhankow, Bartlomiej Zych:
Bumblebee Your Way to Recovery: Transforming The Approach to Detection of Mental Health Relapses. 89-90 - Mostafa Naseri, Jaron Fontaine, Ingrid Moerman, Eli De Poorter, Adnan Shahid:
A U-Net Architecture for Time-Frequency Interference Signal Separation of RF Waveforms. 91-92 - Gerardo Roa Dabike, Michael A. Akeroyd, Scott Bannister, Jon Barker, Trevor J. Cox, Bruno Fazenda, Jennifer Firth, Simone Graetzer, Alinka Greasley, Rebecca R. Vos, William M. Whitmer:
The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids. 93-94 - Çagkan Yapar, Fabian Jaensch, Jan Christian Hauffen, Francesco Pezone, Peter Jung, Saeid K. Dehkordi, Giuseppe Caire:
Demucs for Data-Driven RF Signal Denoising. 95-96 - Panagiotis Kaliosis, Sofia Eleftheriou, Christos Nikou, Theodoros Giannakopoulos:
A Self-Supervised Learning Approach for Detecting Non-Psychotic Relapses Using Wearable-Based Digital Phenotyping. 97-98 - Fadli Damara, Zoran Utkovski, Slawomir Stanczak:
Signal Separation in Radio Spectrum Using Self-Attention Mechanism. 99-100 - Sasidhar Alavala, Subrahmanyam Gorthi:
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction Using Swinir-Based Sinogram and Image Enhancement. 101-102 - Adria Mallol-Ragolta, Anika A. Spiesberger, Andreas Triantafyllopoulos, Björn W. Schuller:
Personalised Anomaly Detectors and Prototypical Representations for Relapse Detection from Wearable-Based Digital Phenotyping. 103-104 - Wojciech Czaja, Jeremiah Emidih, Brandon Kolstoe, Richard G. Spencer:
Hyperspectral Reconstruction of Skin through Fusion of Scattering Transform Features. 105-106 - Bryce Irvin, Sile Yin, Shuo Zhang, Marko Stamenovic:
A Fullband Neural Network for Audio Packet Loss Concealment. 107-108 - Matthew Daly:
Remixing Music for Hearing Aids Using Ensemble of Fine-Tuned Source Separators. 109-110 - Bo Wang, Xiran Xu, Zechen Zhang, Haolin Zhu, Yujie Yan, Xihong Wu, Jing Chen:
Self-Supervised Speech Representation and Contextual Text Embedding for Match-Mismatch Classification with EEG Recording. 111-112 - Xiran Xu, Bo Wang, Yujie Yan, Haolin Zhu, Zechen Zhang, Xihong Wu, Jing Chen:
ConvConcatNet: A Deep Convolutional Neural Network to Reconstruct Mel Spectrogram from the EEG. 113-114 - Akshit Arora, Rohan Badlani, Sungwon Kim, Rafael Valle, Bryan Catanzaro:
Scaling Nvidia's Multi-Speaker Multi-Lingual TTS Systems With Zero-Shot TTS to Indic Languages. 115-116 - Zelin Qiu, Jianjun Gu, Dingding Yao, Junfeng Li, Yonghong Yan:
BMMSNet: Bidirectional Mapping and Multilevel Similarity Comparison for EEG-Speech Match-Mismatch Problem. 117-118 - Keren Shao, Ke Chen, Shlomo Dubnov:
Music Enhancement with Deep Filters: A Technical Report for the ICASSP 2024 Cadenza Challenge. 119-120 - Daniil Robnikov, Tanel Alumäe:
Single-Stage TTS with Adapted Vocoder and Cross-Attention: Taltech Systems for the Limmits'24 Challenge. 121-122 - Hang Chen, Shilong Wu, Chenxi Wang, Jun Du, Chin-Hui Lee, Sabato Marco Siniscalchi, Shinji Watanabe, Jingdong Chen, Odette Scharenborg, Zhong-Qiu Wang, Bao-Cai Yin, Jia Pan:
Summary on the Multimodal Information-Based Speech Processing (MISP) 2023 Challenge. 123-124 - Panagiotis Paraskevas Filntisis, Niki Efthymiou, George Retsinas, Athanasia Zlatintsi, Christos Garoufis, Thomas Sounapoglou, Panayotis Tsanakas, Nikolaos Smyrnis, Petros Maragos:
The 2nd E-Prevention Challenge: Psychotic and Non-Psychotic Relapse Detection Using Wearable-Based Digital Phenotyping. 125-126 - Lies Bollens, Corentin Puffay, Bernd Accou, Jonas Vanthornhout, Hugo Vanhamme, Tom Francart:
ICASSP 2024 Auditory EEG Decoding Challenge. 127-128 - Sayanton V. Dibbo, Juston S. Moore, Garrett T. Kenyon, Michael A. Teti:
LCANets++: Robust Audio Classification Using Multi-Layer Neural Networks with Lateral Competition. 129-133 - Alkis Koudounas, Eliana Pastor, Vittorio Mazzia, Manuel Giollo, Thomas Gueudré, Elisa Reale, Giuseppe Attanasio, Luca Cagliero, Sandro Cumani, Luca De Alfaro, Elena Baralis, Daniele Amberti:
Leveraging Confidence Models for Identifying Challenging Data Subgroups in Speech Models. 134-138 - Yi Zhu, Saurabh Powar, Tiago H. Falk:
Characterizing the Temporal Dynamics of Universal Speech Representations for Generalizable Deepfake Detection. 139-143 - Drew Grant, Helena Hahn, Adebayo Eisape, Valerie E. Rennoll, James E. West:
Multi-Modal Approaches for Improving the Robustness of Audio-Based Covid-19 Detection Systems. 144-148 - Yu Chen, Minglei Yang, Baixiao Chen, Meng Liu, Teng Ma:
A Method for Estimating Stationary Reflective Surfaces and Extracting Road Guardrails. 149-153 - Brayan Monroy, Jorge Bacca, Henry Arguello:
Predicting The Spectrum: Deep Adaptive Sensing for Hadamard Single Pixel Spectral Imaging. 154-158 - Kyriakos Lite, Bernhard Rinner:
Navigation for Autonomous Robots with Adaptive Information-Seeking. 159-163 - Anil Ganti, Michael A. Martinez, Granger Hickman, Jeffrey L. Krolik:
Wideband Adaptive Beamforming for a Partially-Calibrated Distributed Array. 164-168 - Fabio Broghammer, Thomas Wiedemann, Siwei Zhang, Benjamin Noack:
Simultaneous Gas Exploration and Network Localization with Robotic Swarms. 169-173 - Zexu Pan, Gordon Wichern, François G. Germain, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Late Audio-Visual Fusion for in-the-Wild Speaker Diarization. 174-178 - Arijit Ukil, Angshul Majumdar, Antonio J. Jara, João Gama:
Deep Neural Network Model Compression and Signal Processing. 179-183 - Henrik Nilsson, Joakim Rydell, Anton Kullberg, Gustaf Hendeby:
Dronar: Obstacle Echolocation Using Drone Ego-Noise. 184-188 - Jiahua Wan, Hong Ren, Cunhua Pan, Zhiyuan Yu, Zhenkun Zhang, Yang Zhang:
Reconfigurable Intelligent Surface Assisted Integrated Sensing, Communication and Computation Systems. 189-193 - Weiqi Huang, Chenxu Zhang, Wen Qi:
Neuro-Mechanical Synergy: A Smart Idea of Intelligent Exoskeletons for Stroke Rehabilitation. 194-198 - Wageesha Manamperi, Thushara D. Abhayapala, Paul Holmberg:
Microphone Aligned Continuous Wearable Device-Related Transfer Function: Efficient Modeling and Measurements. 199-203 - Jun Li, Jihwan Youn, Ryan Wu, Jeroen Overdevest
, Shunqiao Sun:
Performance Evaluation and Analysis of Thresholding-Based Interference Mitigation for Automotive Radar Systems. 204-208 - Qiancheng Wei, Yi Yuan, Ying Liu, Mohammed Ali Mohammed Al-Hababi, Qiya Su, Muyao Yu:
LASDNet: A Lightweight Adaptive Surface Defect Detection Network. 209-213 - Wanli Ni, Jiachen Han, Zhijin Qin:
Convergence Analysis of Semi-Federated Learning with Non-IID Data. 214-218 - Peng Wang, Yashuai Cao, Wanli Ni, Dongsheng Han:
Pareto-Optimal Waveform Design for Multi-User and Multi-Target MIMO-ISAC Systems. 219-223 - Xiaoye Wang, Fan Liu, Le Zheng:
Low-Overhead OFDM Sensing Waveform Design for 5G NR: A Coprime-Based Subcarrier Allocation Approach. 224-228 - Chenyuan Feng, Zhenyu Feng, Qing Wang:
Recommendation Algorithm Based on Federated Multi-modal Learning. 229-233 - Shuang Li, Yaxiu Sun, Zherui Zhang, Han Zhang, Yun Lin:
Spectrum Data Graph Structure Learning Based On Dual-View Contrastive Learning For Spectrum Prediction Of ISCC. 234-238 - Xuchen Li, Ronghao Lin, Hing Cheung So:
Sparse Array Design for Mimo Radar in Multipath Scenarios. 239-243 - Yhonatan Gayer, Vladimir Tourbabin, Zamir Ben-Hur, Jacob Donley, Boaz Rafaely:
Ambisonics Encoding For Arbitrary Microphone Arrays Incorporating Residual Channels For Binaural Reproduction. 244-248 - Sotirios Athanasoulias
, Stavros Sykiotis, Nikos Temenos, Anastasios Doulamis, Nikolaos Doulamis:
A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices. 249-253 - Yu Yao, Feng Shu, Linlong Wu, Xu Cheng, Xuan Li, Jiangzhou Wang:
Anti-Jamming Strategy for IRS-Aided JRC System in Vehicular Networks. 254-258 - Edmond Ka Hin Chan, Yirui Deng, Amus Chee Yuen Goay, Deepak Mishra, Aruna Seneviratne:
Non-Invasive Occupancy Monitoring Using Sustainable Backscatter Tags. 259-263 - Giulia Slavic, Mattia Bracco, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni, Pamela Zontone
:
Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents. 264-268 - Sunil Bharitkar, Thaddeus Páez:
Edge-Optimized Model for Multimedia Classification using Linguistic Metadata. 269-273 - Yichun Li, Rajesh Nair, Syed Mohsen Naqvi:
Harnessing Video Intelligence: Intelligent System for ADHD Detection. 274-278 - Yirui Deng, Deepak Mishra, Shaghik Atakaramians, Aruna Seneviratne:
Smart CSI Processing for Accurate Commodity WiFi-Based Humidity Sensing. 279-283 - Jeroen Overdevest
, Xinyi Wei, Hans Van Gorp, Ruud J. G. van Sloun
:
Model-Based Diffusion for Mitigating Automotive Radar Interference. 284-288 - Pu Yang, Xiang-Gen Xia, Xichang Zhang, Jiaming Zhang, Yi Liu:
Full-Duplex Decode-And-Forward Relay for Joint Environmental Sensing And Self-Interference Cancellation. 289-293 - Hongwei Wang, Xi Zheng:
Robust Filtering of Distributed Cyber-Physical Systems with Cyber-Attack Detection. 294-298 - Mingfeng Zhang, Jinhua Sun, Xiaojun Wu:
Iterative Detection Algorithm with LDPC Decoder in Cyclic-Prefix OTFS System. 299-303 - Menghong Cai, Jun Fang, Huiping Duan, Xiaoyu Li, Hongbin Li:
A Variational Bayesian Inference-Inspired Unrolled Deep Network for Compressed Sensing. 304-308 - Xiao Wu, Xuan Mu, Wen Qi, Xiaorui Liu:
A Cross-Attention Emotion Recognition Algorithm Based on Audio and Video Modalities. 309-313 - Marios Nikolaos Militsis, Vasileios Mygdalis, Ioannis Pitas:
Soft ROI Pooling Distillation for Detection Transformers. 314-319 - Fuma Aki, Riku Ikeda, Takumi Saito, Ciaran Regan, Mizuki Oka:
Evolving Complex Environments in Evolution Gym using Large Language Models. 320-324 - Alfredo Nascita, Raffaele Carillo, Federica Giampetraglia, Antonio Iacono, Valerio Persico, Antonio Pescapè:
Interpretability and Complexity Reduction in Iot Network Anomaly Detection Via XAI. 325-329 - Arijit Ukil, Ishan Sahu, Mridul Biswas, Arpan Pal, Angshul Majumdar:
Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction. 330-334 - Yasar Abbas Ur Rehman, Kin Wai Lau, Yuyang Xie, Lan Ma, Jiajun Shen:
Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding. 335-340 - Álvaro Martín-Cortinas, Daniel Sáez-Trigueros, Grzegorz Beringer, Iván Vallés-Pérez, Roberto Barra-Chicote, Biel Tura Vecino, Adam Gabrys, Thomas Merritt, Piotr Bilinski, Jaime Lorenzo-Trueba:
Investigating Self-Supervised Features for Expressive, Multilingual Voice Conversion. 341-345 - Antonino Ferraro, Valerio La Gatta, Marco Postiglione:
Empowering Network Security with Autoencoders. 346-350 - Cheng Kang, Daniel Novak, Katerina Urbanova, Yuqing Cheng, Yong Hu:
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant. 351-355 - Kaneez Khatoon, Deepak Mishra, Ravikant Saini:
IRS Assisted Secure NOMA for Untrusted Users. 356-360