David Horn - RankMe

73 papers B 2Journal 50Unranked 19

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Deep Learning Study of an Electromagnetic Calorimeter. Algorithms Elihu Sela, Shan Huang, David Horn
2018	J	`jnl`	The Weight-Shape decomposition of density estimates: A framework for clustering and image analysis algorithms. Pattern Recognit. Lior Deutsch, David Horn
2013	J	`jnl`	Analyzing Big Data with Dynamic Quantum Clustering. CoRR Marvin Weinstein, F. Meirer, A. Hume, Ph. Sciau, G. Shaked, R. Hofstetter, Erez Persi, A. Mehta, David Horn
2013	J	`jnl`	Systematic Analysis of Compositional Order of Proteins Reveals New Characteristics of Biological Functions and a Universal Correlate of Macroevolution. PLoS Comput. Biol. Erez Persi, David Horn
2012	—	`ch.`	Large Ensemble Averaging. Neural Networks: Tricks of the Trade (2nd ed.) David Horn, Ury Naftaly, Nathan Intrator
2010	J	`jnl`	Deriving enzymatic and taxonomic signatures of metagenomes from short read data. BMC Bioinform. Uri Weingart, Erez Persi, Uri Gophna, David Horn
2010	B	`conf`	Genomic DNA RECOMB Benny Chor, David Horn, Nick Goldman, Yaron Levy, Tim Massingham
2010	J	`jnl`	UFFizi: a generic platform for ranking informative features. BMC Bioinform. Assaf Gottlieb, Roy Varshavsky, Michal Linial, David Horn
2009	J	`jnl`	Data mining of enzymes using specific peptides. BMC Bioinform. Uri Weingart, Yair Lavi, David Horn
2009	J	`jnl`	Dynamic quantum clustering: a method for visual exploration of structures in data CoRR Marvin Weinstein, David Horn
2008	J	`jnl`	Syntactic structures in languages and biology. Cogn. Process. David Horn
2007	—	`conf`	Clustering Algorithms Optimizer: A Framework for Large Datasets. ISBRA Roy Varshavsky, David Horn, Michal Linial
2007	J	`jnl`	Functional Representation of Enzymes by Specific Peptides. PLoS Comput. Biol. Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin, David Horn
2007	—	`conf`	Nucleotide variation of regulatory motifs may lead to distinct expression patterns. ISMB/ECCB (Supplement of Bioinformatics) Liat Segal, Michal Lapidot, Zach Solan, Eytan Ruppin, Yitzhak Pilpel, David Horn
2007	J	`jnl`	Unsupervised feature selection under perturbations: meeting the challenges of biological data. Bioinform. Roy Varshavsky, Assaf Gottlieb, David Horn, Michal Linial
2006	—	`conf`	Novel Unsupervised Feature Filtering of Biological Data. ISMB (Supplement of Bioinformatics) Roy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn
2006	J	`jnl`	Spatiotemporal clustering of synchronized bursting events in neuronal networks. Neurocomputing Uri Barkan, David Horn
2005	—	`conf`	COMPACT: A Comparative Package for Clustering Assessment. ISPA Workshops Roy Varshavsky, Michal Linial, David Horn
2005	—	`conf`	Can Dynamic Neural Filters Produce Pseudo-Random Sequences?. ICANN (1) Yishai M. Elyada, David Horn
2005	J	`jnl`	In vitro neuronal networks: evidence for synaptic plasticity. Neurocomputing Anat Elhalal, David Horn
2005	J	`jnl`	Memory Capacity of Balanced Networks. Neural Comput. Yuval Aviel, David Horn, Moshe Abeles
2005	—	`conf`	Motif Extraction and Protein Classification. CSB Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn
2005	J	`jnl`	The inertial-DNF model: spatiotemporal coding on two time scales. Neurocomputing Orit Kliper, David Horn, Brigitte Quenet
2005	J	`jnl`	Unsupervised learning of natural languages. Proc. Natl. Acad. Sci. USA Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
2004	J	`jnl`	Analysis of spatiotemporal patterns in a model of olfaction. Neurocomputing Orit Kliper, David Horn, Brigitte Quenet, Gideon Dror
2004	J	`jnl`	Dynamic proximity of spatio-temporal sequences. IEEE Trans. Neural Networks David Horn, Gideon Dror, Brigitte Quenet
2004	J	`jnl`	Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity. Neural Comput. Erez Persi, David Horn, Vladislav Volman, Ronen Segev, Eshel Ben-Jacob
2004	J	`jnl`	Neural modeling of synchronized bursting events. Neurocomputing Erez Persi, David Horn, Ronen Segev, Eshel Ben-Jacob, Vladislav Volman
2004	J	`jnl`	Synfire waves in small balanced networks. Neurocomputing Yuval Aviel, David Horn, Moshe Abeles
2003	J	`jnl`	Modeling neural spatiotemporal behavior. Neurocomputing David Horn, Brigitte Quenet, Gideon Dror, Orit Kliper
2003	J	`jnl`	Novel Clustering Algorithm for Microarray Expression Data in A Truncated SVD Space. Bioinform. David Horn, Inon Axel
2003	J	`jnl`	On Embedding Synfire Chains in a Balanced Network. Neural Comput. Yuval Aviel, Carsten Mehring, Moshe Abeles, David Horn
2003	—	`conf`	The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity. NIPS Yuval Aviel, David Horn, Moshe Abeles
2003	J	`jnl`	The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. Neural Comput. Brigitte Quenet, David Horn
2003	—	`conf`	Unsupervised Context Sensitive Language Acquisition from a Large Corpus. NIPS Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
2002	—	`conf`	Automatic Acquisition and Efficient Representation of Syntactic Structures. NIPS Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman
2002	J	`jnl`	Synfire chain in a balanced network. Neurocomputing Yuval Aviel, Elan Pavlov, Moshe Abeles, David Horn
2001	J	`jnl`	Distributed synchrony in a cell assembly of spiking neurons. Neural Networks Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin
2001	J	`jnl`	Support Vector Clustering. J. Mach. Learn. Res. Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
2001	J	`jnl`	Temporal coding in an olfactory oscillatory model. Neurocomputing Brigitte Quenet, David Horn, Gérard Dreyfus, Rémi Dubois
2001	—	`conf`	The Method of Quantum Clustering. NIPS David Horn, Assaf Gottlieb
2000	B	`conf`	A Support Vector Clustering Method. ICPR Asa Ben-Hur, Hava T. Siegelmann, David Horn, Vladimir Vapnik
2000	—	`conf`	A Support Vector Method for Clustering. NIPS Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
2000	J	`jnl`	Complex dynamics of neuronal thresholds. Neurocomputing David Horn, Irit Opher
2000	J	`jnl`	Distributed synchrony in an attractor of spiking neurons. Neurocomputing David Horn, Nir Levy, Eytan Ruppin
1999	J	`jnl`	Associative Memory in a Multimodular Network. Neural Comput. Nir Levy, David Horn, Eytan Ruppin
1999	—	`conf`	Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin
1999	J	`jnl`	The importance of nonlinear dendritic processing in multimodular memory networks. Neurocomputing David Horn, Nir Levy, Eytan Ruppin
1998	J	`jnl`	Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb. J. Comput. Neurosci. Ofer Hendin, David Horn, Misha Tsodyks
1998	J	`jnl`	Fast Temporal Encoding and Decoding with Spiking Neurons. Neural Comput. David Horn, Sharon Levanda
1998	—	`conf`	Maximum entropy approach to probability density estimation. KES (1) Gad Miller, David Horn
1998	J	`jnl`	Memory Maintenance via Neuronal Regulation. Neural Comput. David Horn, Nir Levy, Eytan Ruppin
1998	J	`jnl`	Probability Density Estimation Using Entropy Maximization. Neural Comput. Gad Miller, David Horn
1997	J	`jnl`	Book Review: "How we Learn; How we Remember; Toward an Understanding of Brain and Neural Systems", by Leon N. Cooper. Int. J. Neural Syst. David Horn
1997	—	`conf`	Multi-modular Associative Memory. NIPS Nir Levy, David Horn, Eytan Ruppin
1997	J	`jnl`	Solitary Waves of Integrate-and-Fire Neural Fields. Neural Comput. David Horn, Irit Opher
1997	J	`jnl`	The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb. J. Comput. Neurosci. Ofer Hendin, David Horn, Misha Tsodyks
1996	—	`conf`	An Orientation Selective Neural Network for Pattern Identification in Particle Detectors. NIPS Halina Abramowicz, David Horn, Ury Naftaly, Carmit Sahar-Pikielny
1996	—	`ch.`	Large Ensemble Averaging. Neural Networks: Tricks of the Trade David Horn, Ury Naftaly, Nathan Intrator
1996	J	`jnl`	Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease. Neural Comput. David Horn, Nir Levy, Eytan Ruppin
1996	J	`jnl`	Temporal segmentation in a neural dynamic system. Neural Comput. David Horn, Irit Opher
1996	J	`jnl`	The Importance of Noise for Segmentation and Binding in Dynamical Neural Systems. Int. J. Neural Syst. David Horn, Irit Opher
1995	J	`jnl`	Compensatory mechanisms in an attractor neural network model of schizophrenia. Neural Comput. David Horn, Eytan Ruppin
1994	—	`conf`	A Neural Model of Delusions and Hallucinations in Schizophrenia. NIPS Eytan Ruppin, James A. Reggia, David Horn
1994	—	`conf`	Averaged and decorrelated neural networks as a time-series predictor. ICPR (2) Ury Naftaly, Iris Ginzburg, David Horn, Nathan Intrator
1993	—	`conf`	Combined Neural Networks for Time Series Analysis. NIPS Iris Ginzburg, David Horn
1993	J	`jnl`	Neural Network Modeling of Memory Deterioration in Alzheimer's Disease. Neural Comput. David Horn, Eytan Ruppin, Marius Usher, Michael Herrmann
1992	J	`jnl`	Learning the Rule of a Time Series. Int. J. Neural Syst. I. Ginzberg, David Horn
1991	J	`jnl`	Chaotic Behavior of A Neural Network with Dynamical Thresholds. Int. J. Neural Syst. Ofer Hendin, David Horn, Marius Usher
1991	—	`conf`	Oscillatory Model of Short Term Memory. NIPS David Horn, Marius Usher
1991	J	`jnl`	Parallel Activation of Memories in an Oscillatory Neural Network. Neural Comput. David Horn, Marius Usher
1991	J	`jnl`	Segmentation, Binding, and Illusory Conjunctions. Neural Comput. David Horn, D. Sagi, Marius Usher
1990	J	`jnl`	Excitatory-Inhibitory Networks with Dynamical Thresholds. Int. J. Neural Syst. David Horn, Marius Usher