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Results: 1-13 |

Results: 13

PHENOTYPE OF PARVALBUMIN NULLMUTANT MICE

Authors: SCHWALLER B VILLA A TETKO IV HUNZIKER W TANDON P SILVEIRA DC CELIO MR

Citation: B. Schwaller et al., PHENOTYPE OF PARVALBUMIN NULLMUTANT MICE, European journal of neuroscience, 10, 1998, pp. 503-503

BEHAVIORAL SIGNIFICANCE OF SPATIOTEMPORAL ACTIVITY PATTERNS AMONG RATCORTICAL-NEURONS

Authors: VILLA AEP TETKO IV HYLAND B NAJEM A

Citation: Aep. Villa et al., BEHAVIORAL SIGNIFICANCE OF SPATIOTEMPORAL ACTIVITY PATTERNS AMONG RATCORTICAL-NEURONS, European journal of neuroscience, 10, 1998, pp. 3124-3124

CHAOTIC DYNAMICS IN THE PRIMATE MOTOR CORTEX DEPEND ON MOTOR PREPARATION IN A DELAYED-POINTING TASK

Authors: VILLA AEP TETKO IV CELLETTI A RIEHLE A

Citation: Aep. Villa et al., CHAOTIC DYNAMICS IN THE PRIMATE MOTOR CORTEX DEPEND ON MOTOR PREPARATION IN A DELAYED-POINTING TASK, Cahiers de psychologie cognitive, 17(4-5), 1998, pp. 763-780

NEURAL-NETWORK STUDIES - 3 - VARIABLE SELECTION IN THE CASCADE-CORRELATION LEARNING ARCHITECTURE

Authors: KOVALISHYN VV TETKO IV LUIK AI KHOLODOVYCH VV VILLA AEP LIVINGSTONE DJ

Citation: Vv. Kovalishyn et al., NEURAL-NETWORK STUDIES - 3 - VARIABLE SELECTION IN THE CASCADE-CORRELATION LEARNING ARCHITECTURE, Journal of chemical information and computer sciences, 38(4), 1998, pp. 651-659

APPLICATION OF A PRUNING ALGORITHM TO OPTIMIZE ARTIFICIAL NEURAL NETWORKS FOR PHARMACEUTICAL FINGERPRINTING

Authors: TETKO IV VILLA AEP AKSENOVA TI ZIELINSKI WL BROWER J COLLANTES ER WELSH WJ

Citation: Iv. Tetko et al., APPLICATION OF A PRUNING ALGORITHM TO OPTIMIZE ARTIFICIAL NEURAL NETWORKS FOR PHARMACEUTICAL FINGERPRINTING, Journal of chemical information and computer sciences, 38(4), 1998, pp. 660-668

DATA MODELING WITH NEURAL NETWORKS - ADVANTAGES AND LIMITATIONS

Authors: LIVINGSTONE DJ MANALLACK DT TETKO IV

Citation: Dj. Livingstone et al., DATA MODELING WITH NEURAL NETWORKS - ADVANTAGES AND LIMITATIONS, Journal of computer-aided molecular design, 11(2), 1997, pp. 135-142

EFFICIENT PARTITION OF LEARNING DATA SETS FOR NEURAL-NETWORK TRAINING

Authors: TETKO IV VILLA AEP

Citation: Iv. Tetko et Aep. Villa, EFFICIENT PARTITION OF LEARNING DATA SETS FOR NEURAL-NETWORK TRAINING, Neural networks, 10(8), 1997, pp. 1361-1374

FAST COMBINATORIAL METHODS TO ESTIMATE THE PROBABILITY OF COMPLEX TEMPORAL PATTERNS OF SPIKES

Authors: TETKO IV VILLA AEP

Citation: Iv. Tetko et Aep. Villa, FAST COMBINATORIAL METHODS TO ESTIMATE THE PROBABILITY OF COMPLEX TEMPORAL PATTERNS OF SPIKES, Biological cybernetics, 76(5), 1997, pp. 397-407

NEURAL-NETWORK STUDIES .2. VARIABLE SELECTION

Authors: TETKO IV VILLA AEP LIVINGSTONE DJ

Citation: Iv. Tetko et al., NEURAL-NETWORK STUDIES .2. VARIABLE SELECTION, Journal of chemical information and computer sciences, 36(4), 1996, pp. 794-803

EVOLUTIONARY COMPUTATION FOR REVEAL STRUC TURE-ACTIVITY-RELATIONSHIPSIN 3-PHENOXYCHROMONE AND 3-PHENOXY-4-HYDROXYCOUMARIN DERIVATIVES

Authors: TETKO IV TANCHUK VY VASILEV SA KHILYA VP PODA GI LUIK AI

Citation: Iv. Tetko et al., EVOLUTIONARY COMPUTATION FOR REVEAL STRUC TURE-ACTIVITY-RELATIONSHIPSIN 3-PHENOXYCHROMONE AND 3-PHENOXY-4-HYDROXYCOUMARIN DERIVATIVES, Bioorganiceskaa himia, 21(10), 1995, pp. 809-815

NEURAL-NETWORK STUDIES .1. COMPARISON OF OVERFITTING AND OVERTRAINING

Authors: TETKO IV LIVINGSTONE DJ LUIK AI

Citation: Iv. Tetko et al., NEURAL-NETWORK STUDIES .1. COMPARISON OF OVERFITTING AND OVERTRAINING, Journal of chemical information and computer sciences, 35(5), 1995, pp. 826-833

EFFECT OF CISPLATIN AND NITROUS YPERITE D ERIVATIVES ON SYSTEMS OF CELLULAR SIGNAL-TRANSDUCTION

Authors: LUJK AI CHEKHUN VF PODA GI TETKO IV TANCHUK VY MOGILEVICH FE MISHCHENKO NI KULIK GI

Citation: Ai. Lujk et al., EFFECT OF CISPLATIN AND NITROUS YPERITE D ERIVATIVES ON SYSTEMS OF CELLULAR SIGNAL-TRANSDUCTION, Eksperimental'naa onkologia, 16(1), 1994, pp. 71-75

HIV-1 REVERSE-TRANSCRIPTASE INHIBITOR DESIGN USING ARTIFICIAL NEURAL NETWORKS

Authors: TETKO IV TANCHUK VY CHENTSOVA NP ANTONENKO SV PODA GI KUKHAR VP LUIK AI

Citation: Iv. Tetko et al., HIV-1 REVERSE-TRANSCRIPTASE INHIBITOR DESIGN USING ARTIFICIAL NEURAL NETWORKS, Journal of medicinal chemistry, 37(16), 1994, pp. 2520-2526

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