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Ottati, F. (author), Gao, Chang (author), Chen, Qinyu (author), Brignone, Giovanni (author), Casu, Mario R. (author), Eshraghian, Jason K. (author), Lavagno, Luciano (author)As deep learning models scale, they become increasingly competitive from domains spanning from computer vision to natural language processing; however, this happens at the expense of efficiency since they require increasingly more memory and computing power. The power efficiency of the biological brain outperforms any large-scale deep...journal article 2023
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Liu, Chengen (author), Leus, G.J.T. (author), Isufi, E. (author)The edge flow reconstruction task consists of retreiving edge flow signals from corrupted or incomplete measurements. This is typically solved by a regularized optimization problem on higher-order networks such as simplicial complexes and the corresponding regularizers are chosen based on prior knowledge. Tailoring this prior to the setting...journal article 2023
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Knödler, L. (author), Salmi, C. (author), Zhu, H. (author), Ferreira de Brito, B.F. (author), Alonso-Mora, J. (author)Autonomous mobile robots require accurate human motion predictions to safely and efficiently navigate among pedestrians, whose behavior may adapt to environmental changes. This paper introduces a self-supervised continual learning framework to improve data-driven pedestrian prediction models online across various scenarios continuously. In...journal article 2022
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Wenk, Nicolas (author), Jordi, Mirjam V. (author), Buetler, Karin A. (author), Marchal Crespo, L. (author)Combining immersive virtual reality (VR) using head-mounted displays (HMDs) with assisting robotic devices might be a promising procedure to enhance neurorehabilitation. However, it is still an open question how immersive virtual environments (VE) should be designed when interacting with rehabilitation robots. In conventional training, the...journal article 2022
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Loram, Ian (author), Gollee, Henrik (author), van de Kamp, C. (author), Gawthrop, Peter (author)Objective: To explain the 0.2-2Hz oscillation in human balance. Motivation: Oscillation (0.2-2 Hz) in the control signal (ankle moment) is sustained independently of external disturbances and exaggerated in Parkinson's disease. Does resonance or limit cycles in the neurophysiological feedback loop cause this oscillation? We investigate two...journal article 2022
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Ottun, Abdul Rasheed (author), Mane, Pramod C. (author), Yin, Zhigang (author), Paul, Souvik (author), Liyanage, Mohan (author), Pridmore, Jason (author), Ding, Aaron Yi (author), Sharma, Rajesh (author), Nurmi, Petteri (author), Flores, Huber (author)Federated learning (FL) is a promising privacy-preserving solution to build powerful AI models. In many FL scenarios, such as healthcare or smart city monitoring, the user's devices may lack the required capabilities to collect suitable data, which limits their contributions to the global model. We contribute social-aware federated learning...journal article 2022
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Yang, Dingqi (author), Qu, Bingqing (author), Yang, J. (author), Wang, Liang (author), Cudre-Mauroux, Philipe (author)Graph embeddings have become a key paradigm to learn node representations and facilitate downstream graph analysis tasks. Many real-world scenarios such as online social networks and communication networks involve streaming graphs, where edges connecting nodes are continuously received in a streaming manner, making the underlying graph...journal article 2022
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Mey, A. (author), Loog, M. (author)Semi-supervised learning is the learning setting in which we have both labeled and unlabeled data at our disposal. This survey covers theoretical results for this setting and maps out the benefits of unlabeled data in classification and regression tasks. Most methods that use unlabeled data rely on certain assumptions about the data...journal article 2022
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MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association PredictionDong, Thi Ngan (author), Mucke, Stefanie (author), Khosla, M. (author)Growing evidence from recent studies implies that microRNAs or miRNAs could serve as biomarkers in various complex human diseases. Since wet-lab experiments for detecting miRNAs associated with a disease are expensive and time-consuming, machine learning techniques for miRNA-disease association prediction have attracted much attention in...journal article 2022
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Cozzolino, Vittorio (author), Tonetto, Leonardo (author), Mohan, Nitinder (author), Ding, Aaron Yi (author), Ott, Jorg (author)Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications depends on their smoothness and immersiveness. Modern AR applications applying computationally intensive computer vision algorithms can burden today's mobile devices, and cause high energy consumption and/or poor performance. To tackle this challenge, it...journal article 2022
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Van der Ploeg, Chris (author), Alirezaei, Mohsen (author), Van De Wouw, Nathan (author), Mohajerin Esfahani, P. (author)In this article, we propose a tractable nonlinear fault estimation filter along with explicit performance bounds for a class of linear dynamical systems in the presence of both additive and nonlinear multiplicative faults. We consider the case, where both faults may occur simultaneously and through an identical dynamical relationship, a...journal article 2022
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Zhou, Y. (author)Globalized dual heuristic programming (GDHP) is the most comprehensive adaptive critic design, which employs its critic to minimize the error with respect to both the cost-to-go and its derivatives simultaneously. Its implementation, however, confronts a dilemma of either introducing more computational load by explicitly calculating the...journal article 2022
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Das, B. (author), Hanjalic, A. (author), Isufi, E. (author)Data processing over graphs is usually done on graphs of fixed size. However, graphs often grow with new nodes arriving over time. Knowing the connectivity information of these nodes, and thus, the expanded graph is crucial for processing data over the expanded graph. In its absence, its inference and the subsequent data processing become...journal article 2022
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Mostafaei, Habib (author), Smaragdakis, G. (author), Zinner, Thomas (author), Feldmann, Anja (author)Big data analytics platforms have played a critical role in the unprecedented success of data-driven applications. However, real-time and streaming data applications, and recent legislation, e.g., GDPR in Europe, have posed constraints on exchanging and analyzing data, especially personal data, across geographic regions. To address such...journal article 2022
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Mészáros, A. (author), Franzese, G. (author), Kober, J. (author)This work investigates how the intricate task of a continuous pick & place (P&P) motion may be learned from humans based on demonstrations and corrections. Due to the complexity of the task, these demonstrations are often slow and even slightly flawed, particularly at moments when multiple aspects (i.e., end-effector movement,...journal article 2022
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Rist, C.B. (author), Emmerichs, David (author), Enzweiler, Markus (author), Gavrila, D. (author)Semantic scene completion is the task of jointly estimating 3D geometry and semantics of objects and surfaces within a given extent. This is a particularly challenging task on real-world data that is sparse and occluded. We propose a scene segmentation network based on local Deep Implicit Functions as a novel learning-based method for scene...journal article 2022
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Yin, Zhao (author), Geraedts, Victor Jacobus (author), Wang, Z. (author), Contarino, Maria Fiorella (author), Dibeklioglu, H. (author), van Gemert, J.C. (author)Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e., bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms with clinical rating scales, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos to assist the...journal article 2022
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Qi, Jiaming (author), Ma, Guangfu (author), Zhu, J. (author), Zhou, Peng (author), Lyu, Yueyong (author), Zhang, Haibo (author), Navarro-Alarcon, David (author)The robotic manipulation of composite rigid-deformable objects (i.e., those with mixed nonhomogeneous stiffness properties) is a challenging problem with clear practical applications that, despite the recent progress in the field, it has not been sufficiently studied in the literature. To deal with this issue, in this article, we propose a...journal article 2022
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Mukhopadhyay, Atri (author), Iosifidis, G. (author), Ruffini, Marco (author)The development of Multi-access edge computing (MEC) has resulted from the requirement for supporting next generation mobile services, which need high capacity, high reliability and low latency. The key issue in such MEC architectures is to decide which edge nodes will be employed for serving the needs of the different end users. Here, we...journal article 2022
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Wang, Ning (author), Wang, Ying (author), Wen, Guanghui (author), Lv, Maolong (author), Zhang, Fan (author)This article aims to realize event-triggered constrained consensus tracking for high-order nonlinear multiagent networks subject to full-state constraints. The main challenge of achieving such goals lies in the fact that the standard designs [e.g., backstepping, event-triggered control, and barrier Lyapunov functions (BLFs)] successfully...journal article 2022