Mark D. McDonnell
According to our database^{1},
Mark D. McDonnell
authored at least 62 papers
between 2004 and 2023.
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Bibliography
2023
CoRR, 2023
Hyperparameter Selection in Reinforcement Learning Using the "Design of Experiments" Method.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
2022
IEEE Access, 2022
2021
The quest for better clinical word vectors: Ontology based and lexical vector augmentation versus clinical contextual embeddings.
Comput. Biol. Medicine, 2021
2020
The Impact of PanSharpening and Spectral Resolution on Vineyard Segmentation through Machine Learning.
Remote. Sens., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Degradation of Performance in Reinforcement Learning with State Measurement Uncertainty.
Proceedings of the 2019 Military Communications and Information Systems Conference, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Using StyleTransfer to Understand Material Classification for Robotic Sorting of Recycled Beverage Containers.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
SingleBitperWeight Deep Convolutional Neural Networks without BatchNormalization Layers for Embedded Systems.
Proceedings of the 4th AsiaPacific Conference on Intelligent Robot Systems, 2019
2018
Proceedings of the 2018 Military Communications and Information Systems Conference, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Training wide residual networks for deployment using a single bit for each weight.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
2017
IEEE Trans. Image Process., 2017
IEEE Trans. Biomed. Eng., 2017
PLoS Comput. Biol., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Regularized training of the extreme learning machine using the conjugate gradient method.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Neural Information Processing  24th International Conference, 2017
Analysis of Gradient Degradation and Feature Map Quality in Deep AllConvolutional Neural Networks Compared to Deep Residual Networks.
Proceedings of the Neural Information Processing  24th International Conference, 2017
2016
J. Comput. Neurosci., 2016
Deep extreme learning machines: supervised autoencoding architecture for classification.
Neurocomputing, 2016
Editorial: Neuronal Stochastic Variability: Influences on Spiking Dynamics and Network Activity.
Frontiers Comput. Neurosci., 2016
Modular expansion of the hidden layer in Single Layer Feedforward neural Networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Integrating convolutional neural networks into a sparse distributed representation model based on mammalian cortical learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Efficient computation of the LevenbergMarquardt algorithm for feedforward networks with linear outputs.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
2015
Neural Comput., 2015
Modeling electrode place discrimination in cochlear implants: Analysis of the influence of electrode array insertion depth.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Enhanced image classification with a fastlearning shallow convolutional neural network.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Engineering intelligent electronic systems based on computational neuroscience [scanning the issue].
Proc. IEEE, 2014
Modelling the influence of short term depression in vesicle release and stochastic calcium channel gating on auditory nerve spontaneous firing statistics.
Frontiers Comput. Neurosci., 2014
Fast, simple and accurate handwritten digit classification using extreme learning machines with shaped inputweights.
CoRR, 2014
Enabling 'Question Answering' in the MBAT Vector Symbolic Architecture by Exploiting Orthogonal Random Matrices.
Proceedings of the 2014 IEEE International Conference on Semantic Computing, 2014
Proceedings of the 2014 IEEE International Conference on Semantic Computing, 2014
Inferring the dynamic range of electrode current by using an information theoretic model of cochlear implant stimulation.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014
Using convex optimization to compute channel capacity in a channel model of cochlear implant stimulation.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014
Proceedings of the 21st International Conference on Telecommunications, 2014
Downlink interference estimation without feedback for heterogeneous network interference avoidance.
Proceedings of the 21st International Conference on Telecommunications, 2014
2013
Interaction of shortterm depression and firing dynamics in shaping single neuron encoding.
Frontiers Comput. Neurosci., 2013
Mathematical analysis and algorithms for efficiently and accurately implementing stochastic simulations of shortterm synaptic depression and facilitation.
Frontiers Comput. Neurosci., 2013
Biol. Cybern., 2013
Identifying positive roles for endogenous stochastic noise during computation in neural systems.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Information theoretic optimization of cochlear implant electrode usage probabilities.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Information theoretic inference of the optimal number of electrodes for future cochlear implants using a spiral cochlea model.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Proc. IEEE, 2011
Methods for Generating Complex Networks with Selected Structural Properties for Simulations: A Review and Tutorial for Neuroscientists.
Frontiers Comput. Neurosci., 2011
An introductory review of information theory in the context of computational neuroscience.
Biol. Cybern., 2011
2010
A channel model for inferring the optimal number of electrodes for future cochlear implants.
IEEE Trans. Inf. Theory, 2010
Communication of uncoded sensor measurements through nanoscale binarynode stochastic pooling networks.
Nano Commun. Networks, 2010
2009
Scholarpedia, 2009
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology.
PLoS Comput. Biol., 2009
CoRR, 2009
2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
Signal reconstruction via noise through a system of parallel threshold nonlinearities.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004