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Peh, Wei Yan (author), Thangavel, Prasanth (author), Yao, Yuanyuan (author), Thomas, John (author), Tan, Yee Leng (author), Dauwels, J.H.G. (author)Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspection. This process is often time-consuming, especially for EEG recordings that last hours or days. To expedite the process, a reliable, automated, and patient-independent seizure detector is essential. However, developing a patient-independent...journal article 2023
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Pandharipande, Ashish (author), Cheng, Chih Hong (author), Dauwels, J.H.G. (author), Gurbuz, Sevgi Z. (author), Ibanez-Guzman, Javier (author), Li, Guofa (author), Piazzoni, Andrea (author), Wang, Pu (author), Santra, Avik (author)Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such as cameras, radars, and light detection and...journal article 2023
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van der Sar, Iris G. (author), van Jaarsveld, Nynke (author), Spiekerman, Imme A. (author), Toxopeus, Floor J. (author), Langens, Quint L. (author), Wijsenbeek, Marlies S. (author), Dauwels, J.H.G. (author), Moor, Catharina C. (author)Electronic nose (eNose) technology is an emerging diagnostic application, using artificial intelligence to classify human breath patterns. These patterns can be used to diagnose medical conditions. Sarcoidosis is an often difficult to diagnose disease, as no standard procedure or conclusive test exists. An accurate diagnostic model based on...journal article 2023
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Piazzoni, Andrea (author), Cherian, Jim (author), Dauwels, J.H.G. (author), Chau, Lap Pui (author)Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One particular challenge is the problem of including the Sensing and Perception (S&P) subsystem into the virtual simulation loop in an efficient and effective manner....journal article 2023
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Chua, Victoria Y.H. (author), Liu, Hexin (author), Perera, Leibny Paola Garcia (author), Woon, Fei Ting (author), Wong, Jinyi (author), Zhang, X. (author), Khudanpur, Sanjeev (author), Khong, Andy W.H. (author), Dauwels, J.H.G. (author), Styles, Suzy J. (author)To enhance the reliability and robustness of language identification (LID) and language diarization (LD) systems for heterogeneous populations and scenarios, there is a need for speech processing models to be trained on datasets that feature diverse language registers and speech patterns. We present the MERLIon CCS challenge, featuring a...journal article 2023
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Styles, Suzy J. (author), Chua, Victoria Y.H. (author), Woon, Fei Ting (author), Liu, Hexin (author), Perera, Leibny Paola Garcia (author), Khudanpur, Sanjeev (author), Khong, Andy W.H. (author), Dauwels, J.H.G. (author)Language development experts need tools that can automatically identify languages from fluent, conversational speech and provide reliable estimates of usage rates at the level of an individual recording. However, LID systems are typically evaluated on metrics such as equal error rate and balanced accuracy, applied at the level of an entire...journal article 2023
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Wang, Y. (author), Liu, Letao (author), Dauwels, J.H.G. (author)Slot attention has shown remarkable object-centric representation learning performance in computer vision tasks without requiring any supervision. Despite its object-centric binding ability brought by compositional modelling, as a deterministic module, slot attention lacks the ability to generate novel scenes. In this paper, we propose the...journal article 2023
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Zhang, Rongkai (author), Zhang, Cong (author), Cao, Zhiguang (author), Song, Wen (author), Tan, Puay Siew (author), Zhang, Jie (author), Wen, Bihan (author), Dauwels, J.H.G. (author)We propose a manager-worker framework (the implementation of our model is publically available at: https://github.com/zcaicaros/manager-worker-mtsptwr) based on deep reinforcement learning to tackle a hard yet nontrivial variant of Travelling Salesman Problem (TSP), i.e. multiple-vehicle TSP with time window and rejections (mTSPTWR), where...journal article 2023
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Gannot, Sharon (author), Tan, Zheng Hua (author), Haardt, Martin (author), Chen, Nancy F. (author), Wai, Hoi To (author), Tashev, Ivan (author), Kellermann, Walter (author), Dauwels, J.H.G. (author)In the last decade, the signal processing (SP) community has witnessed a paradigm shift from model-based to data-driven methods. Machine learning (ML) - more specifically, deep learning - methodologies are nowadays widely used in all SP fields, e.g., audio, speech, image, video, multimedia, and multimodal/multisensor processing, to name a few...journal article 2023
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Grandey, Benjamin S. (author), Koh, Zhi Yang (author), Samanta, Dhrubajyoti (author), Horton, Benjamin P. (author), Dauwels, J.H.G. (author), Chew, Lock Yue (author)Global climate models are susceptible to drift, causing spurious trends in output variables. Drift is often corrected using data from a control simulation. However, internal climate variability within the control simulation introduces uncertainty to the drift correction process. To quantify this drift uncertainty, we develop a probabilistic...journal article 2023
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Liu, Letao (author), Jiang, Xudong (author), Saerbeck, Martin (author), Dauwels, J.H.G. (author)This paper proposes a Recurrent Affine Transform Encoder (RATE) that can be used for image representation learning. We propose a learning architecture that enables a CNN encoder to learn the affine transform parameter of images. The proposed learning architecture decomposes an affine transform matrix into two transform matrices and learns them...journal article 2022
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Liu, Letao (author), Jiang, Xudong (author), Saerbeck, Martin (author), Dauwels, J.H.G. (author)This article proposes a generative adversarial network called explicit affine disentangled generative adversarial network (EAD-GAN), which explicitly disentangles affine transform in a self-supervised manner. We propose an affine transform regularizer to force the InfoGAN to have explicit properties of affine transform. To facilitate training...journal article 2022
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Helmers, Eckard (author), Chang, Chia Chien (author), Dauwels, J.H.G. (author)Universities, as innovation drivers in science and technology worldwide, should attempt to become carbon-neutral institutions and should lead this transformation. Many universities have picked up the challenge and quantified their carbon footprints; however, up-to-date quantification is limited to use-phase emissions. So far, data on embodied...journal article 2022
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Lee, Kelvin (author), Jiang, Yu (author), Ceder, Avishai (Avi) (author), Dauwels, J.H.G. (author), Su, Rong (author), Nielsen, Otto Anker (author)With the emergence of innovations associated with public transport (PT) services, such as Mobility-as-a-Service, demand responsive transit, and autonomous vehicles, the door-to-door PT journey is achievable via multiple transfers between and within different PT modes. As such, seamless transfers between different modes of public...journal article 2022
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Yu, Hang (author), Wu, Songwei (author), Dauwels, J.H.G. (author)Estimating a sequence of dynamic undirected graphical models, in which adjacent graphs share similar structures, is of paramount importance in various social, financial, biological, and engineering systems, since the evolution of such networks can be utilized for example to spot trends, detect anomalies, predict vulnerability, and evaluate...journal article 2022
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Thangavel, Prasanth (author), Thomas, John (author), Sinha, Nishant (author), Peh, Wei Yan (author), Yuvaraj, Rajamanickam (author), Cash, Sydney S. (author), Chaudhari, Rima (author), Karia, Sagar (author), Dauwels, J.H.G. (author)Objective. Clinical diagnosis of epilepsy relies partially on identifying interictal epileptiform discharges (IEDs) in scalp electroencephalograms (EEGs). This process is expert-biased, tedious, and can delay the diagnosis procedure. Beyond automatically detecting IEDs, there are far fewer studies on automated methods to differentiate epileptic...journal article 2022
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Xu, Shihao (author), Yang, Zixu (author), Chakraborty, Debsubhra (author), Chua, Yi Han Victoria (author), Tolomeo, Serenella (author), Winkler, Stefan (author), Birnbaum, Michel (author), Tan, Bhing Leet (author), Lee, Jimmy (author), Dauwels, J.H.G. (author)Schizophrenia (SCZ) and depression (MDD) are two chronic mental disorders that seriously affect the quality of life of millions of people worldwide. We aim to develop machine-learning methods with objective linguistic, speech, facial, and motor behavioral cues to reliably predict the severity of psychopathology or cognitive function, and...journal article 2022
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Peled, Inon (author), Lee, Kelvin (author), Jiang, Yu (author), Dauwels, J.H.G. (author), Pereira, Francisco C. (author)As Public Transport (PT) becomes more dynamic and demand-responsive, it increasingly depends on predictions of transport demand. But how accurate need such predictions be for effective PT operation? We address this question through an experimental case study of PT trips in Metropolitan Copenhagen, Denmark, which we conduct independently of any...journal article 2021
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Thangavel, Prasanth (author), Thomas, John (author), Peh, Wei Yan (author), Jing, Jin (author), Yuvaraj, Rajamanickam (author), Cash, Sydney S. (author), Chaudhari, Rima (author), Saini, Vinay (author), Dauwels, J.H.G. (author)Epilepsy diagnosis based on Interictal Epileptiform Discharges (IEDs) in scalp electroencephalograms (EEGs) is laborious and often subjective. Therefore, it is necessary to build an effective IED detector and an automatic method to classify IED-free versus IED EEGs. In this study, we evaluate features that may provide reliable IED detection...journal article 2021