Instytut Informatyki i Matematyki Komputerowej - lista publikacji
Nadjednostka:
Podjednostki:
201-400 z 921.
2021
721.
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa
Putting a Compass on the Map of Elections, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 59-65
720.
Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Dawid Rymarczyk, Bartosz Zieliński
Comparison of Supervised and Self-supervised Deep Representations Trained on Histological Image, World Congress on Medical and Health Informatics [MEDINFO] vol. Studies in Health Technology and Informatics 290 (2021), 1052-1053
719.
Piotr Bartman-Szwarc, Sylwester Arabas
On the Design of Monte-Carlo Particle Coagulation Solver Interface: A CPU/GPU Super-Droplet Method Case Study with PySDM, International Conference on Computational Science [ICCS] vol. 12743 (2021), 16-30
718.
Marek Skomorowski, Maciej Skwirczyński, Wadim Wojciechowski
717.
Łukasz Borchmann, Jurkiewicz Dawid, Tomasz Dwojak, Pałka Gabriela, Michał Pietruszka, Powalski Rafał
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer, IEEE International Conference on Document Analysis and Recognition [ICDAR], (2021),
716.
Bartosz Bohaterewicz, Adrian Chrobak, Dominika Dudek, Magdalena Fafrowicz, Tadeusz Marek, Dagmara Mętel, Igor Podolak, Marcin Siwek, Anna Sobczak, Bartosz Wójcik
715.
Jakub Chłędowski, Adam Polak, Bartosz Szabucki, Konrad Żołna
Robust Learning-Augmented Caching: An Experimental Study, International Conference on Machine Learning [ICML], (2021), 1920-1930
714.
Ella Barkan, Sardius Chen, Jakub Chłędowski, Linda Du, Sushma Gaddam, Krzysztof J. Geras, Flora Gilboa-Solomon, Julia Goldberg, Pablo Gómez del Campo, Sana Hava, Laura Heacock, Daniel Khapun, Eric Kim, Jiyon Lee, Alana Lewin, Robert Martí, Alexandra Millet, Linda Moy, Sindhoora Murthy, Ujas Parikh, Jungkyu Park, Shalin Patel, Anastasia Plaunova, Kristine Pysarenko, Vadim Ratner, Beatriu Reig, Michal Rosen-Zvi, Yoel Shoshan, Melanie Wegener, Jan Witowski, Stacey Wolfson, Aviad Zlotnick
Lessons from the first DBTex Challenge, vol. 3 (2021), 735–736
713.
Tomasz Danel, Agnieszka Galanty, Igor Podolak, Irma Podolak, Michał Węgrzyn
712.
Tomasz Danel, Piotr Gaiński, Stanisław Jastrzębski, Łukasz Maziarka
HuggingMolecules: an open-source library for transformer-based molecular property prediction, International Conference On Learning Representations (workshop Track) (2021),
711.
Tomasz Danel, Łukasz Maziarka
Multitask Learning Using BERT with Task-Embedded Attention, IEEE International Joint Conference on Neural Networks [IJCNN], (2021),
710.
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE International Joint Conference on Neural Networks [IJCNN], (2021), 1-8
709.
708.
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM International Conference on Knowledge Discovery and Data Mining [KDD](MAIN) vol. 9781450383325 (2021), 1420-1430
707.
Dominika Basaj, Michał Górszczak, Witold Oleszkiewicz, Barbara Rychalska, Igor Sieradzki, Tomasz Trzcinski, Bartosz Zieliński
Explaining Self-Supervised Image Representations with Visual Probing, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 592-598
706.
Deep learning classification of bacteria clones explained by persistence homology, IEEE International Joint Conference on Neural Networks [IJCNN] vol. 978-1-6654-3900-8 (2021), 1-8
705.
Semi-Markov Model of Processing Requests Reliability and Availability in Mobile Cloud Computing Systems vol. Advances in Intelligent Systems and Computing, book series (AISC, volume 1389) (2021), "Theory and Engineering of Dependable Computer Systems and Networks", Springer
704.
703.
Rigorous FEM for 1D Burgers Equation, SIAM Journal on Applied Dynamical Systems vol. 20 (2021), 853–907
702.
Kamil Deja, Jan Dubiński, Piotr Nowak, Przemysław Spurek, Tomasz Trzciński, Sandro Wenzel
End-to-End Sinkhorn Autoencoder With Noise Generator, IEEE Access vol. 9 (2021), 7211-7219
701.
Isometric models for separable groups with a bi-invariant metric, Topology and its Applications vol. 289C (2021), 107486, 10 pages
700.
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning, IEEE Workshop on Applications of Computer Vision [WACV] vol. 978-1-6654-0477-8 (2021), 1720-1729
699.
698.
Łukasz Borchmann, Filip Graliński, Michał Pietruszka
Successive Halving Top-k Operator, National Conference of the American Association for Artificial Intelligence [AAAI], (2021),
697.
Anna Denkowska, Piotr Gwiazda, Piotr Kalita
On renormalized solutions to elliptic inclusions with nonstandard growth, Calculus of Variations and Partial Differential Equations vol. 60 (2021), Article number: 21
696.
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder, IEEE Transactions on Neural Networks and Learning Systems vol. 32/9 (2021), 3930-3941
695.
Persistence codebooks for topological data analysis, Artificial Intelligence Review vol. 54 (3) (2021), 1969-2009
2020
694.
Jarosław Duda, Adam Szulc
Social Benefits Versus Monetary and Multidimensional Poverty in Poland: Imputed Income Exercise, Advances in Cross-section Data Methods in Applied Economic Research (2020), 87–102
693.
On the weighted k-path vertex cover on interval graphs, Schedae Informaticae vol. 29 (2020), 9-21
692.
Gregory S. Duane, Witold Dzwinel, Marcin Sendera
Supermodeling: the next level of abstraction in the use of data assimilation, International Conference on Computational Science [ICCS] vol. vol. Lecture Notes in Computer Science book series (LNCS, vol. 12142) (2020), 133-147
691.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch
690.
Adam Roman, Lucjan Stapp
689.
Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski
Nonlinear Semigroups and Their Perturbations in Hydrodynamics. Three Examples vol. 325 (2020), "Semigroups of Operators – Theory and Applications ", Springer
688.
Jarosław Duda, Henryk Gurgul, Robert Syrek
687.
Tamal K. Dey, Marian Mrozek, Ryan Slechta
Persistence of the Conley Index in Combinatorial Dynamical Systems, International Symposium on Computational Geometry [SoCG] vol. 36 (2020), 37:1-37:17
686.
Ulrich Bauer, Herbert Edelsbrunner, Grzegorz Jabłoński, Marian Mrozek
685.
Tomasz Konopczyński, Michał Koperski, Rafał Nowak, Piotr Semberecki, Tomasz Trzciński
Plugin Networks for Inference under Partial Evidence, IEEE Workshop on Applications of Computer Vision [WACV], (2020),
684.
Matteo Caggio, Piotr Kalita, Grzegorz Łukaszewicz, Krzysztof Mizerski
Vertical heat transport at infinite Prandtl number for micropolar fluid, Archives of Mechanics vol. 72 (2020), 525-553
683.
682.
Resource Allocation for Broadband Links of IoT in Fog Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. No. 7 - 8 (2020), 254 – 258
681.
Packet Scheduler for URLLC and eMBB Traffics in 5G Wireless Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. No. 7 - 8 (2020), 216 - 219
680.
Deep Learning for QoS-Aware Resource Allocation in Cognitive Radio Networks, Lecture Notes in Computer Science vol. 12144 (2020), 312 - 323
679.
Reliability Enhancement of URLLC Traffic in 5G Cellular Networks vol. Communications in Computers and Information Science, Vol. 1231 (2020), "Computer Networks", Springer
678.
Unsupervised Features Learning for Sampled Vector Fields, SIAM Journal on Applied Dynamical Systems vol. 19(4) (2020), 2720-2736
677.
676.
Kubica-Misztal Aleksandra , Martyna Durak-Kozica, Marcin Hartel, Krzysztof Misztal, Michał Wątor, Agnieszka Wojtuch
675.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, European Symposium on Artificial Neural Networks [ESANN], (2020), 6
674.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science volume 12534 (2020), 220-231
673.
Iterative Imputation of Missing Data using Auto-encoder Dynamics, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science, volume 12534 (2020), 258-269
672.
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
671.
Tomasz Danel, Przemysław Spurek, Jacek Tabor, Marek Śmieja, Łukasz Struski, Agnieszka Słowik, Łukasz Maziarka
Spatial Graph Convolutional Networks, International Conference On Neural Information Processing vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
670.
Non-linear ICA based on Cramer-Wold metric, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 12534) (2020),
669.
Krzysztof Galias, Silviu Homoceanu, Adam Jakubowski, Henryk Michalewski, Piotr Miłoś, Błażej Osiński, Paweł Zięcina
Simulation-Based Reinforcement Learning for Real-World Autonomous Driving, IEEE International Conference on Robotics and Automation [ICRA], (2020), 6411-6418
668.
Zięba Maciej , Przemysław Spurek, Jacek Tabor, Tomasz Trzciński, Sebastian Winczowski, Maciej Zamorski
Hypernetwork approach to generating point clouds, International Conference on Machine Learning [ICML](MAIN), (2020),
667.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
666.
Yoshua Bengio, Leonard Boussioux, Maxime Chevalier-Boisvert, Bahdanau Dzmitry, David Yu-Tung Hui, Chitwan Saharia, Konrad Żołna
Combating False Negatives in Adversarial Imitation Learning, National Conference of the American Association for Artificial Intelligence [AAAI], (2020), 13999-14000
665.
Krzysztof Galias, Damian Stachura, Konrad Żołna
Leakage-Robust Classifier via Mask-Enhanced Training, National Conference of the American Association for Artificial Intelligence [AAAI], (2020), 13923-13924
664.
Can auto-encoders help with filling missing data?, International Conference On Learning Represenation (workshop Track) (2020), 6
663.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference On Machine Learning (workshop Track) (2020), 6
662.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
Drawing a map of elections in the space of statistical cultures, International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) [AAMAS](MAIN), (2020), 1341-1349
661.
Łukasz Borchmann, Jakub Chłędowski, Tomasz Dwojak, Filip Graliński, Michał Pietruszka
From Dataset Recycling to Multi-Property Extraction and Beyond, Conference on Computational Natural Language Learning [CoNLL] vol. Proceedings of the 24th Conference on Computational Natural Language Learning (2020),
660.
Finding the Optimal Network Depth in Classification Tasks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) [ECML PKDD], (2020),
659.
Devansh Arpit, Kyunghyun Cho, Stanislav Fort, Krzysztof J. Geras, Stanisław Jastrzębski, Maciej Szymczak, Jacek Tabor
The Break-Even Point on Optimization Trajectories of Deep Neural Networks, 8th International Conference On Learning Representations (2020),
658.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch
657.
Olivier Bachem, Olivier Bousquet, Lasse Espeholt, Sylvain Gelly, Karol Kurach, Marcin Michalski, Anton Raichuk, Carlos Riquelme, Piotr Stańczyk, Damien Vincent, Michał Zając
Google Research Football: A Novel Reinforcement Learning Environment, Proceedings of the Aaai Conference On Artificial Intelligence vol. Vol 34 No 04 (2020), 4501-4510
656.
Cramer-Wold Auto-Encoder, Journal of Machine Learning Research vol. 21 (2020), 1-28
655.
Processing of incomplete images by (graph) convolutional neural networks, International Conference On Machine Learning (workshop Track) (2020),
654.
Flow-based SVDD for anomaly detection, International Conference On Machine Learning (workshop Track) (2020),
653.
Roberto Barrio, Daniel Wilczak
652.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
Deep learning approach to describe and classify fungi microscopic images, PLoS One vol. 15(6) (2020), 1-16
651.
Szabolcs Tengely, Maciej Ulas, Jakub Zygadło
On a Diophantine equation of Erdos and Graham, Journal of Number Theory vol. 217 (2020), 445-459
650.
649.
Piotr Kalita, Grzegorz Łukaszewicz
648.
Leszek Gasiński, Piotr Kalita
647.
Kubica-Misztal Aleksandra , Krzysztof Misztal, Tomasz Służalec
646.
Piotr Bugiel, Beata Rzepka, Stanisław Wędrychowicz
645.
Marek Śmieja, Łukasz Struski, Mario A.T. Figueiredo
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, Neural Networks vol. 127 (2020), 193-203
644.
Damian Leśniak, Sabina Podlewska, Igor Sieradzki
643.
Andrzej Antoł, Marcin Czarnołęski, Terézia Horváthová, Jan Kozłowski, Anna Łabecka, Anna Peciod, Natalia Szabla, Yaroslav Vasko, Bartosz Zieliński
642.
Michał Markiewicz, Piotr Dziurdzia, Tomasz Konieczny, Marek Skomorowski, Liliana Kowalczyk, Thomas Skotnicki, PASCAL URARD
Software Controlled Low Cost Thermoelectric Energy Harvester for Ultra-Low Power Wireless Sensor Nodes, IEEE Access vol. 8 (2020), 38920-38930
641.
Haras Maciej, Michał Markiewicz, Stéphane Monfray, Thomas Skotnicki
640.
Boolean algebra of one-point local compactifications, Journal of Mathematics and Applications vol. 43 (2020), 113-121
639.
Jonathan Ariel Barmak, Marian Mrozek, Thomas Wanner
A Lefschetz fixed point theorem for multivalued maps of finite spaces, Mathematische Zeitschrift vol. 294 (2020), 1477–1497
638.
Conley Index Approach to Sampled Dynamics, SIAM Journal on Applied Dynamical Systems vol. 19-1 (2020), 665-704
637.
Tomasz Danel, Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
636.
Krzysztof Baczyński, Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
635.
Bogdan Batko, Tomasz Kaczynski, Marian Mrozek, Thomas Wanner
634.
Pointed subspace approach to incomplete data, Journal of Classification vol. 37 (2020), 42-57
633.
Sylwester Arabas, Ahmad Farhat
632.
631.
Everaldo de Mello Bonotto, Piotr Kalita
On attractors of generalized semiflows with impulses, Journal of Geometric Analysis vol. 30 (2020), 1412-1449
2019
630.
Stanisław Jastrzębski, Maciej A. Nowak, Jacek Tabor, Wojciech Tarnowski, Piotr Warchoł
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function, International Conference on Artificial Intelligence and Statistics [AISTATS], (2019), 10
629.
Downlink Power Allocation in Delta-OMA (D-OMA) 6G Networks, Lecture Notes in Computer Science vol. 11660 (2019), 390 - 401
628.
Optimal Spectrum Sharing in RF Energy Harvesting Cognitive Femtocell Networks vol. Communications in Computers and Information Science (CCIS, Vol. 1039) (2019), "Computer Networks", Springer
627.
626.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
Classifier-Agnostic Saliency Map Extraction, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10087-10088
625.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
Adversarial framing for image and video classification, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10077-10078
624.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
623.
Generalized RBF kernel for incomplete data, Knowledge-Based Systems vol. 173 (2019), 150-162
622.
Michał Markiewicz, Maciej Wielgosz, Mikołaj Bocheński, Waldemar Tabaczyński, Tomasz Konieczny, Liliana Kowalczyk
621.
620.
619.
Variational Auto-Encoders for Generating Feature-Preserving Automata, Proceedings of Ncma 2019, Books@ocg.at (austrian Computer Society) (2019), 171-185
618.
Teresa Crespo, Zbigniew Hajto
Picard -Vessiot Extensions of Real Differential Fields, Symmetry Integrability and Geometry-Methods and Applications vol. Volume 15, 100 (2019), 11pages
617.
616.
615.
Set Aggregation Network as a Trainable Pooling Layer, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
614.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, Neural Information Processing Systems (workshop Track) (2019),
613.
Leszek Gasiński, Nikolaos S. Papageorgiou, Krzysztof Winowski
Positive Solutions for Nonlinear Robin Problems with Concave Terms, Journal of Convex Analysis vol. 26 (4) (2019), 1145-1174
612.
Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
Mol-CycleGAN - A Generative Model for Molecular Optimization, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 810-816
611.
Hypernetwork Functional Image Representation, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 496-510
610.
Damian Leśniak, Igor Podolak, Igor Sieradzki
Distribution-Interpolation Trade off in Generative Models, International Conference On Learning Representations (2019),
609.
Persistence bag-of-words for topological data analysis, Proceedings of the 28th International Joint Conference On Artificial Intelligence (ijcai 2019) (2019), 4489-4495
608.
Piotr Faliszewski, Piotr Skowron, Stanisław Szufa, Nimrod Talmon
Proportional Representation in Elections: STV vs PAV, Proceedings of the 18th International Conference On Autonomous Agents and Multiagent Systems (2019), 1946-1948
607.
Tomasz Gąciarz, Marek Skomorowski, Maciej Skwirczyński, Wadim Wojciechowski
606.
605.
Piotr Kalita, Meir Shillor, Paweł Szafraniec
604.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
How Similar Are Two Elections?, Aaai (2019), 1909-1916
603.
602.
Maciej Brzeski, Hubert Dryja, Paweł Gora, Karnas Katarzyna, Arkadiusz Klemenko, Adrian Kochański, Dawid Kopczyk, Magdalena Kukawska, Marcin Możejko, Przemysław Przybyszewski
Solving Traffic Signal Setting Problem Using Machine Learning, International Conference On Models and Technologies for Intelligent Transportation Systems (2019),
601.
Piotr Kalita, Jose A. Langa, Fernando Soler-Toscano
600.
Elżbieta Adamus, Teresa Crespo, Zbigniew Hajto
Jacobian Conjecture via Differential Galois Theory, Symmetry Integrability and Geometry-Methods and Applications vol. Volume 15, 034 (2019), 7 pages
599.
Projected memory clustering, Pattern Recognition Letters vol. 123 (2019), 9-15
598.
Elżbieta Adamus, Paweł Bogdan, Teresa Crespo, Zbigniew Hajto
Pascal finite polynomial automorphisms, Journal of Algebra and its Applications vol. Vol 18 No 7, ID 1950124 (2019), 1-10
597.
Persistent Homology of Morse Decompositions in Combinatorial Dynamics, SIAM Journal on Applied Dynamical Systems vol. 18-1 (2019), 510-530
596.
A quantitative version of the theorem on Khintchine's constant, Indagationes Mathematicae vol. Vol. 30 (4) (2019), 649-668
595.
594.
Piotr Kalita, Jose A. Langa, Grzegorz Łukaszewicz
Micropolar meets Newtonian. The Rayleigh–Bénard problem, Physica D: Nonlinear Phenomena vol. 392 (2019), 57-80
593.
Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski
592.
Online updating of active function cross-entropy clustering, Pattern Analysis and Applications vol. vol. 22 no. 4 (2019), 1409-1425
591.
SVM with a neutral class, Pattern Analysis and Applications vol. 22/2 (2019), 573-582
590.
Adam Roman, Vojtech Vorel
2018
589.
Jarosław Hryszko, Lech Madeyski
588.
586.
Bartosz Borucki, Beata Ciszkowska-Lyson, Norbert Kapiński, Krzysztof Nowiński, Tomasz Trzciński, Jakub Zieliński
Estimating Achilles tendon healing progress with convolutional neural networks, Medical Image Computing and Computer-Assisted Intervention [MICCAI], (2018),
585.
584.
583.
582.
QoS- and Energy-aware Services Management of Resource in Cloud Computing Environment vol. Communications in Computer and Information Science (2018), "Computer Networks", Springer
581.
Reliability Optimization for Controller Placement in Software-Defined Networks vol. Advances in Intelligent Systems and Computing, book series (AISC, volume 582) (2018), "Advances in Dependability Engineering and Complex Systems", Springer
580.
Yoshua Bengio, Laurent Charlin, Rosemary Ke, Zhouhan Lin, Christopher Pal, Joelle Pineau, Alessandro Sordoni, Adam Trischler, Konrad Żołna
Focused Hierarchical RNNs for Conditional Sequence Processing, International Conference on Machine Learning [ICML], (2018),
579.
Jakub Chłędowski, Stanisław Jastrzębski, Tomasz Wesołowski
578.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
577.
Tomasz Kisielewski, Damian Leśniak
Accidental exploration through value predictors, Schedae Informaticae vol. 27 (2018),
576.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
Three-dimensional descriptors for aminergic GPCRs: dependence on docking conformation and crystal structure, Molecular Diversity vol. vol.23 no.3 (2018), 603-613
575.
On modeling objects using sequence of moment invariants, Lecture Notes in Computer Science (2018), 92-102
574.
A Study Guide to the ISTQB® Foundation Level 2018 Syllabus, Springer Verlag (połaczony z Kluwer Academic Publishing), 2018
573.
Bartłomiej Kroczek, Magdalena Matyjek , Michał Ociepka, Magdalena Senderecka
572.
Adam Chuderski, Adam Gągol, Patrycja Kałamała, Bartłomiej Kroczek, Mikołaj Magnuski, Michał Ociepka, Emiliano Santarnecchi
571.
Maciej Brzeski, Paweł Gora, Arkadiusz Klemenko, Adrian Kochański, Marcin Możejko
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks, Neurips 2018 Workshop "machine Learning for Intelligent Transportation Systems" (2018),
570.
Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek
Traffic Signal Settings Optimization Using Gradient Descent, Schedae Informaticae vol. 27 (2018), 19-30
569.
Łukasz Maziarka, Jacek Tabor, Bartosz Wójcik
LOSSGRAD: Automatic Learning Rate in Gradient Descent, Schedae Informaticae vol. 27 (2018), 47-57
568.
Image Stitching Based on Entropy Minimization, Schedae Informaticae vol. 27 (2018), 129-141
567.
Sliced generative models, Schedae Informaticae vol. 27 (2018), 69-79
566.
Marta Pasenkiewicz-Gierula, Elżbieta Plesnar, Witold K. Subczynski, Robert Szczelina
565.
564.
Maciej Capiński, Dmitry Turaev, Piotr Zgliczyński
563.
Maciej Capiński, Piotr Zgliczyński
Beyond the Melnikov method II: Multidimensional setting, Journal of Differential Equations vol. 265 (2018), 3988-4015
562.
Jacek Cyranka, Piotr B. Mucha, Edriss S. Titi, Piotr Zgliczyński
561.
560.
Piotr Faliszewski, Stanisław Szufa, Nimrod Talmon
Optimization-Based Voting Rule Design: The Closer to Utopia the Better, Proceedings of the 17th International Conference On Autonomous Agents and Multiagent Systems, Aamas 2018, Stockholm, Sweden, July 10-15, 2018 (2018), 32-40
559.
Processing of missing data by neural networks, Advances in Neural Information Processing Systems vol. 31 (2018), 2719-2729
558.
557.
Thinking-Driven Testing. The Most Reasonabl Approach to Quality Control, Springer Verlag (połaczony z Kluwer Academic Publishing), 2018
556.
Aneta Blat, Stefan Chłopicki, Karolina Chrabąszcz, Max Diem, Agnieszka Jasztal, Kamila Małek, Katarzyna Marzec, Marta Smęda, Bartosz Zieliński
555.
Feature Selection in Texts, Proceedings of the 10th International Conference On Computer Recognition Systems Cores 2017 vol. 578. Advances in Intelligent Systems and Computing (2018), 336-345
554.
Oleksandr Myronov, Marek Śmieja, Jacek Tabor
Semi-supervised discriminative clustering with graph regularization, Knowledge-Based Systems vol. 151 (2018), 24-36
553.
Piotr Kalita, Piotr Kowalski
On multivalued Duffing equation, Journal of Mathematical Analysis and Applications vol. 462 (2018), 1130-1147
552.
Amadeu Delshams, Adria Simon, Piotr Zgliczyński
Shadowing of non-transversal heteroclinic chains, Journal of Differential Equations vol. 264 (2018), 3619–-3663
551.
A machine learning approach to synchronization of automata, Expert Systems with Applications vol. 97 (2018), 357-371
550.
Antoni Leon Dawidowicz, Anna Poskrobko
Asymptotic properties of the Lasota equation in various functional spaces, (2018), "AIP Conference Proceedings 1926", American Institute of Physics
549.
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