Search Results - "Bouganis, Christos"

fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs by Venieris, Stylianos I., Bouganis, Christos-Savvas

“…Since neural networks renaissance, convolutional neural networks (ConvNets) have demonstrated a state-of-the-art performance in several emerging artificial…”
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Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data by Xia, Guoxuan, Bouganis, Christos-Savvas

“…Detecting out-of-distribution (OOD) data is a task that is receiving an increasing amount of research attention in the domain of deep learning for computer…”
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Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation by Kouris, Alexandros, Bouganis, Christos-Savvas

“…Nowadays, Unmanned Aerial Vehicles (UAVs)are becoming increasingly popular facilitated by their extensive availability. Autonomous navigation methods can act…”
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Inferring entire spiking activity from local field potentials by Ahmadi, Nur, Constandinou, Timothy G., Bouganis, Christos-Savvas

“…Extracellular recordings are typically analysed by separating them into two distinct signals: local field potentials (LFPs) and spikes. Previous studies have…”
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Class-specific early exit design methodology for convolutional neural networks by Bonato, Vanderlei, Bouganis, Christos-Savvas

“…Convolutional Neural Network-based (CNN) inference is a demanding computational task where a long sequence of operations is applied to an input as dictated by…”
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Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines by Kyrkou, Christos, Bouganis, Christos-Savvas, Theocharides, Theocharis, Polycarpou, Marios M.

“…Cascade support vector machines (SVMs) are optimized to efficiently handle problems, where the majority of the data belong to one of the two classes, such as…”
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Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks by Vasileiadis, Manolis, Bouganis, Christos-Savvas, Tzovaras, Dimitrios

“…Human pose estimation is considered one of the major challenges in the field of Computer Vision, playing an integral role in a large variety of technology…”
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Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning by Ahmadi, Nur, Constandinou, Timothy G, Bouganis, Christos-Savvas

“… Brain-machine interfaces (BMIs) seek to restore lost motor functions in individuals with neurological disorders by enabling them to control external devices…”
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DroNet: Efficient convolutional neural network detector for real-time UAV applications by Kyrkou, Christos, Plastiras, George, Theocharides, Theocharis, Venieris, Stylianos I., Bouganis, Christos-Savvas

“…Unmanned Aerial Vehicles (drones) are emerging as a promising technology for both environmental and infrastructure monitoring, with broad use in a plethora of…”
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Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems by Venieris, Stylianos I., Bouganis, Christos-Savvas, Lane, Nicholas D.

“…The next generation of artificial intelligence (AI) systems will have multi-deep neural network (multi-DNN) workloads as their core. Large-scale deployment of…”
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An Unbiased MCMC FPGA-Based Accelerator in the Land of Custom Precision Arithmetic by Shuanglong Liu, Mingas, Grigorios, Bouganis, Christos-Savvas

“…Markov Chain Monte Carlo (MCMC) based methods have been the main tool used for Bayesian Inference by practitioners and researchers due to their flexibility and…”
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Real-Time Servo Press Force Estimation Based on Dual Particle Filter by Olaizola, Jon, Bouganis, Christos-Savvas, de Argandona, Eneko Saenz, Iturrospe, Aitzol, Abete, Jose Manuel

“…The ability to monitor the quality of the metal forming process as well as the machine's condition is of significant importance in modern industrial processes…”
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Particle MCMC algorithms and architectures for accelerating inference in state-space models by Mingas, Grigorios, Bottolo, Leonardo, Bouganis, Christos-Savvas

“…•Novel algorithmic and hardware techniques for fast SSM inference are proposed.•New algorithm extends applicability of particle MCMC to multi-modal…”
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Impact of referencing scheme on decoding performance of LFP-based brain-machine interface by Ahmadi, Nur, Constandinou, Timothy G, Bouganis, Christos-Savvas

“… There has recently been an increasing interest in local field potential (LFP) for brain-machine interface (BMI) applications due to its desirable properties…”
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Novel Cascade FPGA Accelerator for Support Vector Machines Classification by Papadonikolakis, M., Bouganis, C.

“…Support vector machines (SVMs) are a powerful machine learning tool, providing state-of-the-art accuracy to many classification problems. However, SVM…”
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Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS) by Ahmadi, Nur, Constandinou, Timothy G, Bouganis, Christos-Savvas

“…Neurons use sequences of action potentials (spikes) to convey information across neuronal networks. In neurophysiology experiments, information about external…”
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Scaling Up Modulo Scheduling for High-Level Synthesis by de Souza Rosa, Leandro, Bouganis, Christos-Savvas, Bonato, Vanderlei

“…High-level synthesis (HLS) tools have been increasingly used within the hardware design community to bridge the gap between productivity and the need to design…”
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Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset by Kouris, Alexandros, Kyrkou, Christos, Bouganis, Christos-Savvas

“…Deep Learning-based object detectors enhance the capabilities of remote sensing platforms, such as Unmanned Aerial Vehicles (UAVs), in a wide spectrum of…”
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SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search by Yu, Zhewen, Bouganis, Christos-Savvas

“…The task of compressing pre-trained Deep Neural Networks has attracted wide interest of the research community due to its great benefits in freeing…”
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An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era by Shafique, Muhammad, Theocharides, Theocharis, Bouganis, Christos-Savvas, Hanif, Muhammad Abdullah, Khalid, Faiq, Hafiz, Rehan, Rehman, Semeen

“…The number of connected Internet of Things (IoT) devices are expected to reach over 20 billion by 2020. These range from basic sensor nodes that log and report…”
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