PD-VOST: Parkinson’s Disease Voice Spectrogram Transformer llias Tougui, Mehdi Zakroum, Ouassim Karakchou, Mounir Ghogho , PD{-}VOST: Parkinson’s Disease Voice Spectrogram Transformer The EPFL combinational benchmark suite pee/ginbergaepf.ch, facia, surya, gauravia roatty defender al , The EPFL combinational benchmark suite Latent diffusion bridges for unsupervised musical audio timbre transfer Michele Mancusi, Yurii Halychanskyi, Kin Wai Cheuk, Eloi Moliner, Chieh{-}Hsin Lai, Stefan Uhlich, Junghyun Koo. , Latent diffusion bridges for unsupervised musical audio timbre transfer do a crow endus ported ten band mentorine at pear enoses. The pipeline do a crow endus ported ten band mentorine at pear enoses. The pipeline , do a crow endus ported ten band mentorine at pear enoses. The pipeline EFFICETH REPARAMNE outperforming models like CV{-}SOG, Motifs, and VCTree. , EFFICETH REPARAMNE Musiclime: Explainable multimodal music understanding tasks, achieving 57.34% for genre and 48.53% for emotion Classi{-} , Musiclime: Explainable multimodal music understanding OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context Bidgoll, Pascal Frossard?, André Kaup”, Thomas Maugey? , OSLO{-}IC: On{-}the{-}Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context Exploiting the relationship within the unlabelled samples by set matching for generalized category discovery Qiubo Ma’, Hang Yu%, Yuan Shan 3, Pinzhuo Tian 1 , Exploiting the relationship within the unlabelled samples by set matching for generalized category discovery Evaluating Contrastive Methodologies for Music Representation Learning Using Playlist Data methods {[}1, 2{]} and novel hybrid approaches , Evaluating Contrastive Methodologies for Music Representation Learning Using Playlist Data Fine-tuning and prompt optimization: Two great steps that work better together Dong Sun, Wenya Guo, Xumeng Liu, Ying Zhang , Zhaoxiang Hou, Zengxiang Li*, Fine{-}tuning and prompt optimization: Two great steps that work better together Digital Twin-Driven Bearing-Fault Detection in Induction Motor and Drives using Graph Sampling and Aggregation Network Haraprasad Badajena, Suryanarayan Majhi, Bivash Chakraborty, Mamata Jenamani, Aurobinda Routray, Ronit Dutta , Digital Twin{-}Driven Bearing{-}Fault Detection in Induction Motor and Drives using Graph Sampling and Aggregation Network Hybrid Feature Fusion for Enhancing Medical Document Embedding *Yi Zhu’, Xiangyang Liu!?, Tianqi Pang’, Xuncan Xiao!, Xiaofan Zhang33, Chenyou Fan!.**, Hybrid Feature Fusion for Enhancing Medical Document Embedding Text to music audio generation using latent diffusion model: A re-engineering of audioldm model 1nh tonne Wegner Neteal Ponesin, Deren Hertemans, Rogger Wattenhofer , Text to music audio generation using latent diffusion model: A re{-}engineering of audioldm model Exploring the Distribution of Cell Subpopulations in Pancreatic Ductal Adenocarcinoma Slides by Joint Spatial Transcriptomics and Pathology Data Yagi Deng, Wenjie Cai, Bentao Song, Bin Yang, Lingming Kong, Qingfeng Wang», Jun Huang , Exploring the Distribution of Cell Subpopulations in Pancreatic Ductal Adenocarcinoma Slides by Joint Spatial Transcriptomics and Pathology Data Classification of Eye-Tracking Data Based on Spatiotemporal Attention Encoding Maju Hel, Chen Xia’t, Kuan L, Tan Zhangt , Classification of Eye{-}Tracking Data Based on Spatiotemporal Attention Encoding GPT-LAD: Leveraging Large Multimodal Models for Logical Anomaly Detection Main Performance on MVTec LOCO (A : all, L: logical, S: structural) , GPT{-}LAD: Leveraging Large Multimodal Models for Logical Anomaly Detection Virtual multiplex immunohistochemistry: application on cell block of effusion and aspiration cytology Xianchao Guan12, Zheng Zhang?, Yifeng Wang?, Ye Zhang?, Danling Jiang”, Yongbing Zhang? , Virtual multiplex immunohistochemistry: application on cell block of effusion and aspiration cytology Vie sin an Aude Spectresun Taedome 981 on the Speechcommanda Vie sin an Aude Spectresun Taedome 981 on the Speechcommanda , Vie sin an Aude Spectresun Taedome 981 on the Speechcommanda Exploring the Distribution of Cell Subpopulations in Pancreatic Ductal Adenocarcinoma Slides by Joint Spatial Transcriptomics and Pathology Data Yagi Deng, M cnje Cai, Benao Song, Bin Yang, Limphing Kung , Qedeng Pung» , Jam H , Exploring the Distribution of Cell Subpopulations in Pancreatic Ductal Adenocarcinoma Slides by Joint Spatial Transcriptomics and Pathology Data NanoGen: A High-affinity Nanobody Generation Model with Guided Diffusion Dezhi Wu’, Xuejiao Liu?, Yiming Qin”, Stephanie M. Linker’, Karin Hrovatin”, Alexander V.Hopp , Feng Tan***, NanoGen: A High{-}affinity Nanobody Generation Model with Guided Diffusion ADPDB: A comprehensive knowledgebase of manually curated peptides against dengue virus Emas: 2230112006.M.00u.59. cong na00012e.ntu.edu.sg. as.293th@ntu.edu.5g , ADPDB: A comprehensive knowledgebase of manually curated peptides against dengue virus Toward robust early detection of alzheimer’s disease via an integrated multimodal learning approach Yifei Chen, Shenghao Zhu. Zhaojie Fang. Chang Liu, Binfeng Zou, Linwei Qiu, Yuhe Wang. Shuo Chang. Fan Jia, Felwel Qin”. Jin Fang. Yong Peng, Changmiao Wang , Toward robust early detection of alzheimer’s disease via an integrated multimodal learning approach Experiments demonstrato MD-MAC achieves 22% bitrate reduction for lossless compression and 17% BD-Rate improvement for lossy compression compared to V-DMC, with 95% faster 1Shenzhen Graduate School, Peking University, Shenzhen, China, , Experiments demonstrato MD{-}MAC achieves 22% bitrate reduction for lossless compression and 17% BD{-}Rate improvement for lossy compression compared to V{-}DMC, with 95% faster Robust kernel sparse subspace clustering da cesta 54, P.O. Box 180, 10002 Zagrob, Croatia , Robust kernel sparse subspace clustering A generative-augmented deep matrix factorization model for poi recommendations Chonse Lio, Hongl Zhange, Aesta Man, Masa Zhang , A generative{-}augmented deep matrix factorization model for poi recommendations 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing Kun Ma12, Qilong Han’, Jingzheng Yao?. , Changmao Wu’ and Chunrul NazA*, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing Masked image modeling advances 3d medical image analysis Der formance and promising scalability in medical MIM. Spect ically, we propose a telliterative masking stratcoy based on , Masked image modeling advances 3d medical image analysis Latent watermarking of audio generative models *Losses …Inlt.. , Latent watermarking of audio generative models Hyman: Hybrid memory and attention network for unsupervised anomaly detection Jiahao Li, Yigiang Chen, Yunbing Xing, Yang Gu, Xiangyuan Lan , Hyman: Hybrid memory and attention network for unsupervised anomaly detection Performance evaluation of object detection and tracking systems ›As shown in the 29, 3P%, and 4° , Performance evaluation of object detection and tracking systems XD0h 18122089roject Gender Equalty Monitor - ANIR-19-GE30-0012). It was portormed Françols Buot’, Camille Guinaudeau?, Cyril Grouin?, Sahar Ghannay?, Shin’ichi Satoh» , XD0h 18122089roject Gender Equalty Monitor {-} ANIR{-}19{-}GE30{-}0012). It was portormed Latent watermarking of audio generative models 13) Olfonses, Alexandre, Jade Copet, Gabriel Synarve, and Yest Adt. “High fidelity , Latent watermarking of audio generative models Unsupervised Domain Adaptation Via Data Pruning TWDR. & method for removing irrelevant data from a training set , Unsupervised Domain Adaptation Via Data Pruning Investigation of whisper asr hallucinations induced by non-speech audio AGH University of Krakow. Poland , Investigation of whisper asr hallucinations induced by non{-}speech audio Retrieval augmented correction of named entity speech recognition errors Ernest Pusateri, Anmol Walia, Aniruch Kashi, Bortik Bandyopadhyay, Nadia Hyder, Sayantan Mahinder, Raviteja Anantha, Daben Liu , and Sashank Gondala***, Retrieval augmented correction of named entity speech recognition errors Self-Prompting Driven SAM2 for 3D Medical Image Segmentation a Sorted index from C: s, {-} (6r,62…, 62…,4) , Self{-}Prompting Driven SAM2 for 3D Medical Image Segmentation Integrating Pause Information with Word Embeddings in Language Models for Alzheimer’s Disease Detection from Spontaneous Speech Speech and Audio Technology lab, Tsinghua University, China , Integrating Pause Information with Word Embeddings in Language Models for Alzheimer’s Disease Detection from Spontaneous Speech Multi-scale Context Intertwining for Panoramic Renal Pathology Segmentation Ye Zhang’2, Xlanchao Guan13, Hengrul LI”, Xiangming Yan”, Ziyue Wang”, Yongbing Zhang’ , Multi{-}scale Context Intertwining for Panoramic Renal Pathology Segmentation SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions Simplified Pigstina, Meduces complarty , SELMA: A Speech{-}Enabled Language Model for Virtual Assistant Interactions Glial‐neuronal interactions in Alzheimer’s disease: the potential role of a ‘cytokine cycle’in disease progression hutcmoshini001@Bentuedusg, choc0010@e.ntu.edusg ,yihao001@e.ntu.edusg , conghao001@e.ntu.edusg ,asjagath@ntu.edu.sg , Glial‐neuronal interactions in Alzheimer’s disease: the potential role of a ‘cytokine cycle’in disease progression Wireless Sensor Networks: 13th China Conference, CWSN 2019, Chongqing, China, October 12–14, 2019, Revised Selected Papers 1. College of Computer Science and Technology, Chongging University of Posts and Telecommunications, Chongging. China , Wireless Sensor Networks: 13th China Conference, CWSN 2019, Chongqing, China, October 12–14, 2019, Revised Selected Papers AI-Generated Music Detection and its Challenges Suno, Udio, Riffusion, … , AI{-}Generated Music Detection and its Challenges A Training-Free Correlation-Weighted Model for Zero-/Few-Shot Industrial Anomaly Detection with Retrieval Augmentation Wei Ran, Zefang Yu, Suncheng Xiang, Ting Liu, Yuzhuo Fu , A Training{-}Free Correlation{-}Weighted Model for Zero{-}/Few{-}Shot Industrial Anomaly Detection with Retrieval Augmentation Parameter-efficient fine-tuning of large-scale pre-trained language models Changzeng Fits, Zelin Fut, Shaojun Yant. Xiaoyong Lyvt, Yuliang Zhaot , Parameter{-}efficient fine{-}tuning of large{-}scale pre{-}trained language models 
