| Modeling the Impact of Traffic Signals on V2V Information Flow. | 0 | 0.34 | 2020 |
| Modeling Information Propagation in General V2V-enabled Transportation Networks. | 0 | 0.34 | 2019 |
| Visibility-Aware Optimal Contagion of Malware Epidemics | 3 | 0.40 | 2015 |
| Optimal Energy-Aware Epidemic Routing in DTNs | 9 | 0.52 | 2015 |
| Taming epidemic outbreaks in mobile adhoc networks. | 1 | 0.35 | 2015 |
| Optimal Patching in Clustered Malware Epidemics. | 13 | 0.71 | 2014 |
| Spin glasses with attitude: Opinion formation in a partisan Erdős-Rényi world | 0 | 0.34 | 2014 |
| Opinion formation in Ising networks | 0 | 0.34 | 2013 |
| Closing the Pandora's Box: defenses for thwarting epidemic outbreaks in mobile adhoc networks | 1 | 0.35 | 2012 |
| Optimal energy-aware epidemic routing in DTNs | 31 | 1.10 | 2012 |
| Adaptive selective verification: an efficient adaptive countermeasure to thwart DoS attacks | 13 | 0.61 | 2012 |
| Market-based control of epidemics | 2 | 0.36 | 2011 |
| Adaptive SelectiveVerification. | 9 | 0.57 | 2008 |
| Correction to “Linear and Logarithmic Capacities in Associative Neural Networks” | 0 | 0.34 | 2007 |
| Threshold Functions, Node Isolation, and Emergent Lacunae in Sensor Networks | 9 | 1.57 | 2006 |
| DoS Protection for Reliably Authenticated Broadcast | 25 | 1.37 | 2004 |
| Learning finite binar sequences from half-space data | 0 | 0.34 | 1999 |
| Pilot Symbol Assisted Diversity Reception For A Fading Channel | 1 | 0.48 | 1998 |
| An adaptive diversity receiver for OFDM in fading channels | 8 | 2.57 | 1998 |
| The capacity of majority rule | 3 | 0.48 | 1998 |
| Learning pattern classification-a survey | 42 | 5.43 | 1998 |
| A Threshold Function for Harmonic Update | 1 | 0.36 | 1997 |
| Learning binary perceptrons perfectly efficiently | 4 | 0.67 | 1996 |
| On edge-colored interior planar graphs on a circle and the expected number of RNA secondary structures | 1 | 0.36 | 1996 |
| Learning from a mixture of labeled and unlabeled examples with parametric side information | 39 | 2.94 | 1995 |
| Criteria for specifying machine complexity in learning | 0 | 0.34 | 1995 |
| Temporal Dynamics of Generalization in Neural Networks | 6 | 0.69 | 1994 |
| On the finite sample performance of the nearest neighbor classifier | 11 | 1.06 | 1994 |
| On the minimum expected duration of a coin tossing game | 0 | 0.34 | 1993 |
| On the average tractability of binary integer programming and the curious transition to perfect generalization in learning majority functions | 5 | 3.02 | 1993 |
| Random interactions in higher order neural networks | 3 | 0.54 | 1993 |
| Optimal Stopping And Effective Machine Complexity In Learning | 32 | 3.63 | 1993 |
| Directed drift: a new linear threshold algorithm for learning binary weights on-line | 14 | 1.25 | 1993 |
| Robustness in neural computation: random graphs and sparsity | 10 | 3.22 | 1992 |
| On reliable computation with formal neurons | 3 | 1.70 | 1992 |
| Bellman strikes again!: the growth rate of sample complexity with dimension for the nearest neighbor classifier | 4 | 0.62 | 1992 |
| Programmed interactions in higher-order neural networks: Maximal capacity | 15 | 2.60 | 1991 |
| On learning binary weights for majority functions | 15 | 7.06 | 1991 |
| Shaping attraction basins in neural networks | 1 | 0.37 | 1990 |
| Asymptotic slowing down of the nearest-neighbor classifier | 2 | 0.75 | 1990 |
| The Devil and the Network | 0 | 0.34 | 1990 |
| Binary filters for pattern classification | 3 | 0.82 | 1989 |
| Linear and logarithmic capacities in associative neural networks | 38 | 18.40 | 1989 |
| Composite algorithms for shaping attraction basins | 0 | 0.34 | 1988 |
| On Properties of Networks of Neuron-Like Elements | 4 | 1.52 | 1987 |
