Instytut Informatyki i Matematyki Komputerowej - lista publikacji
Nadjednostka:
Podjednostki:
1-200 z 705.
2021
705.
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
704.
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], (2021),
703.
702.
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
701.
Marek Skomorowski, Maciej Skwirczyński, Wadim Wojciechowski
700.
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),
699.
Robust Learning-Augmented Caching: An Experimental Study, INTERNATIONAL CONFERENCE ON MACHINE LEARNING [ICML], (2021), 1920--1930
698.
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, (2021), 1-2
697.
Tomasz Danel, Agnieszka Galanty, Igor Podolak, Irma Podolak, Michał Węgrzyn
696.
HuggingMolecules: an open-source library for transformer-based molecular property prediction, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2021),
695.
Multitask Learning Using BERT with Task-Embedded Attention, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2021),
694.
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2021),
693.
692.
Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras, Kangning Liu, Nan Wu, Shen Yiqiu
691.
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING [KDD], (2021),
690.
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], (2021),
689.
Deep learning classification of bacteria clones explained by persistence homology, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2021),
688.
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
687.
686.
Rigorous FEM for 1D Burgers Equation, SIAM J APPL DYN SYST vol. 20 (2021), 853–907
685.
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
684.
Isometric models for separable groups with a bi-invariant metric, TOPOL APPL vol. 289C (2021), 10
683.
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning, IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION [WACV], (2021),
682.
681.
Łukasz Borchmann, Filip Graliński, Michał Pietruszka
Successive Halving Top-k Operator, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2021),
680.
Anna Denkowska, Piotr Gwiazda, Piotr Kalita
679.
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS vol. 32/9 (2021), 3930-3941
678.
Persistence codebooks for topological data analysis, ARTIF INTELL REV vol. 54 (3) (2021), 1969-2009
2020
677.
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
676.
Bartosz Bohaterewicz, Adrian Chrobak, Dominika Dudek, Magdalena Fafrowicz, Tadeusz Marek, Dagmara Mętel, Igor Podolak, Marcin Siwek, Anna Sobczak, Bartosz Wójcik
675.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Agnieszka Pocha, Sabina Podlewska, Maciej Szymczak, Jacek Tabor
674.
Adam Roman, Lucjan Stapp
673.
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
672.
Jarosław Duda, Henryk Gurgul, Robert Syrek
671.
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
670.
Ulrich Bauer, Herbert Edelsbrunner, Grzegorz Jabłoński, Marian Mrozek
669.
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),
668.
Matteo Caggio, Piotr Kalita, Grzegorz Łukaszewicz, Krzysztof Mizerski
Vertical heat transport at infinite Prandtl number for micropolar fluid, ARCH MECH vol. 72 (2020), 525-553
667.
666.
Resource Allocation for Broadband Links of IoT in Fog Networks, PRZEGLĄD TELEKOMUNIKACYJNY + WIADOMOŚCI TELEKOMUNIKACYJNE vol. No. 7 - 8 (2020), 254 – 258
665.
Packet Scheduler for URLLC and eMBB Traffics in 5G Wireless Networks, PRZEGLĄD TELEKOMUNIKACYJNY + WIADOMOŚCI TELEKOMUNIKACYJNE vol. No. 7 - 8 (2020), 216 - 219
664.
Deep Learning for QoS-Aware Resource Allocation in Cognitive Radio Networks, LECTURE NOTES IN COMPUTER SCIENCE vol. 12144 (2020), 312 - 323
663.
Reliability Enhancement of URLLC Traffic in 5G Cellular Networks vol. Communications in Computers and Information Science, Vol. 1231 (2020), "Computer Networks", Springer
662.
Unsupervised Features Learning for Sampled Vector Fields, SIAM J APPL DYN SYST vol. 19(4) (2020), 2720-2736
661.
660.
Kubica-Misztal Aleksandra , Martyna Durak-Kozica, Marcin Hartel, Krzysztof Misztal, Agnieszka Pocha, Michał Wątor
659.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS [ESANN], (2020), 6
658.
Marcin Przewięźlikowski, Łukasz Struski, Marek Śmieja
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
657.
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
656.
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
655.
Tomasz Danel, Łukasz Maziarka, Agnieszka Słowik, Przemysław Spurek, Łukasz Struski, Marek Śmieja, Jacek Tabor
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
654.
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),
653.
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),
652.
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),
651.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
650.
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
649.
Leakage-Robust Classifier via Mask-Enhanced Training, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2020), 13923-13924
648.
Can auto-encoders help with filling missing data?, INTERNATIONAL CONFERENCE ON LEARNING REPRESENATION (WORKSHOP TRACK) (2020), 6
647.
Marcin Przewięźlikowski, Łukasz Struski, Marek Śmieja
Estimating conditional density of missing values using deep Gaussian mixture model, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020), 6
646.
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
645.
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),
644.
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),
643.
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),
642.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Agnieszka Pocha, Sabina Podlewska, Maciej Szymczak, Jacek Tabor
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening, J CHEM INF MODEL vol. 60 (2020), 4246-4262
641.
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
640.
Cramer-Wold Auto-Encoder, J MACH LEARN RES vol. 21 (2020), 1-28
639.
Processing of incomplete images by (graph) convolutional neural networks, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
638.
Flow-based SVDD for anomaly detection, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
637.
Roberto Barrio, Daniel Wilczak
636.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
635.
Szabolcs Tengely, Maciej Ulas, Jakub Zygadło
On a Diophantine equation of Erdos and Graham, J NUMBER THEORY vol. 217 (2020), 445-459
634.
633.
Piotr Kalita, Grzegorz Łukaszewicz
632.
Leszek Gasiński, Piotr Kalita
631.
Kubica-Misztal Aleksandra , Krzysztof Misztal, Tomasz Służalec
630.
Piotr Bugiel, Beata Rzepka, Stanisław Wędrychowicz
629.
Mario A.T. Figueiredo, Łukasz Struski, Marek Śmieja
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, NEURAL NETWORKS vol. 127 (2020), 193-203
628.
627.
Andrzej Antoł, Marcin Czarnołęski, Terézia Horváthová, Jan Kozłowski, Anna Łabecka, Anna Peciod, Natalia Szabla, Yaroslav Vasko, Bartosz Zieliński
626.
Piotr Dziurdzia, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Marek Skomorowski, 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
625.
Haras Maciej, Michał Markiewicz, Stéphane Monfray, Thomas Skotnicki
624.
Boolean algebra of one-point local compactifications, JOURNAL OF MATHEMATICS AND APPLICATIONS vol. 43 (2020), 113-121
623.
Jonathan Ariel Barmak, Marian Mrozek, Thomas Wanner
A Lefschetz fixed point theorem for multivalued maps of finite spaces, MATH Z vol. 294 (2020), 1477–1497
622.
Conley Index Approach to Sampled Dynamics, SIAM J APPL DYN SYST vol. 19-1 (2020), 665-704
621.
Mol-CycleGAN: a generative model for molecular optimization, J CHEMINFORMATICS vol. 12 (2020), 2
620.
Krzysztof Baczyński, Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
619.
Bogdan Batko, Tomasz Kaczynski, Marian Mrozek, Thomas Wanner
Linking combinatorial and classical dynamics: Conley index and Morse decompositions, FOUND COMPUT MATH vol. 20 (2020), 967— 1012
618.
Pointed subspace approach to incomplete data, J CLASSIF vol. 37 (2020), 42-57
617.
Sylwester Arabas, Ahmad Farhat
616.
615.
Everaldo de Mello Bonotto, Piotr Kalita
On attractors of generalized semiflows with impulses, J GEOM ANAL vol. 30 (2020), 1412-1449
2019
614.
Downlink Power Allocation in Delta-OMA (D-OMA) 6G Networks, LECTURE NOTES IN COMPUTER SCIENCE vol. 11660 (2019), 390 - 401
613.
Optimal Spectrum Sharing in RF Energy Harvesting Cognitive Femtocell Networks vol. Communications in Computers and Information Science (CCIS, Vol. 1039) (2019), "Computer Networks", Springer
612.
611.
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
610.
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
609.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
608.
Generalized RBF kernel for incomplete data, KNOWL-BASED SYST vol. 173 (2019), 150-162
607.
Mikołaj Bocheński, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Waldemar Tabaczyński, Maciej Wielgosz
606.
605.
604.
Variational Auto-Encoders for Generating Feature-Preserving Automata, PROCEEDINGS OF NCMA 2019, BOOKS@OCG.AT (AUSTRIAN COMPUTER SOCIETY) (2019), 171-185
603.
Teresa Crespo, Zbigniew Hajto
Picard -Vessiot Extensions of Real Differential Fields, SYMMETRY INTEGR GEOM vol. Volume 15, 100 (2019), 11pages
602.
601.
Anna Gierzkiewicz-Pieniążek, Piotr Zgliczyński
600.
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
599.
Molecule-Augmented Attention Transformer, NEURAL INFORMATION PROCESSING SYSTEMS (WORKSHOP TRACK) (2019),
598.
Leszek Gasiński, Nikolaos S. Papageorgiou, Krzysztof Winowski
Positive Solutions for Nonlinear Robin Problems with Concave Terms, J CONVEX ANAL vol. 26 (4) (2019), 1145-1174
597.
Jan Kaczmarczyk, Łukasz Maziarka, Agnieszka Pocha, Krzysztof Rataj, Michał Warchoł
Mol-CycleGAN - A Generative Model for Molecular Optimization, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 810-816
596.
Hypernetwork Functional Image Representation, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 496-510
595.
Distribution-Interpolation Trade off in Generative Models, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (2019),
594.
Persistence bag-of-words for topological data analysis, PROCEEDINGS OF THE 28TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI 2019) (2019), 4489-4495
593.
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
592.
Tomasz Gąciarz, Marek Skomorowski, Maciej Skwirczyński, Wadim Wojciechowski
591.
Efficient mixture model for clustering of sparse high dimensional binary data, DATA MIN KNOWL DISC vol. 33/6 (2019), 1583--1624
590.
Piotr Kalita, Meir Shillor, Paweł Szafraniec
A frictional contact problem with wear diffusion, Z ANGEW MATH PHYS vol. 70 (2019), 96
589.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
How Similar Are Two Elections?, AAAI (2019), 1909-1916
588.
587.
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),
586.
Piotr Kalita, Jose A. Langa, Fernando Soler-Toscano
585.
Elżbieta Adamus, Teresa Crespo, Zbigniew Hajto
Jacobian Conjecture via Differential Galois Theory, SYMMETRY INTEGR GEOM vol. Volume 15, 034 (2019), 7 pages
584.
Projected memory clustering, PATTERN RECOGN LETT vol. 123 (2019), 9-15
583.
Elżbieta Adamus, Paweł Bogdan, Teresa Crespo, Zbigniew Hajto
Pascal finite polynomial automorphisms, J ALGEBRA APPL vol. Vol 18 No 7, ID 1950124 (2019), 1-10
582.
Persistent Homology of Morse Decompositions in Combinatorial Dynamics, SIAM J APPL DYN SYST vol. 18-1 (2019), 510-530
581.
A quantitative version of the theorem on Khintchine's constant, INDAGAT MATH NEW SER vol. Vol. 30 (4) (2019), 649-668
580.
579.
Piotr Kalita, Jose A. Langa, Grzegorz Łukaszewicz
Micropolar meets Newtonian. The Rayleigh–Bénard problem, PHYSICA D vol. 392 (2019), 57-80
578.
Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski
577.
Online updating of active function cross-entropy clustering, PATTERN ANAL APPL vol. vol. 22 no. 4 (2019), 1409-1425
576.
SVM with a neutral class, PATTERN ANAL APPL vol. 22/2 (2019), 573-582
575.
Adam Roman, Vojtech Vorel
Complexity of road coloring with prescribed reset words, J COMPUT SYST SCI vol. 104 (2019), 30
2018
574.
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),
573.
572.
571.
570.
QoS- and Energy-aware Services Management of Resource in Cloud Computing Environment vol. Communications in Computer and Information Science (2018), "Computer Networks", Springer
569.
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
568.
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),
567.
Jakub Chłędowski, Stanisław Jastrzębski, Tomasz Wesołowski
566.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
565.
564.
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, MOL DIVERS vol. vol.23 no.3 (2018), 603-613
563.
On modeling objects using sequence of moment invariants, LECTURE NOTES IN COMPUTER SCIENCE (2018), 92-102
562.
A Study Guide to the ISTQB® Foundation Level 2018 Syllabus, (2018), Springer Verlag (połaczony z Kluwer Academic Publishing)
561.
Bartłomiej Kroczek, Magdalena Matyjek , Michał Ociepka, Magdalena Senderecka
560.
Adam Chuderski, Adam Gągol, Patrycja Kałamała, Bartłomiej Kroczek, Mikołaj Magnuski, Michał Ociepka, Emiliano Santarnecchi
559.
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),
558.
Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek
Traffic Signal Settings Optimization Using Gradient Descent, SCHEDAE INFORMATICAE vol. 27 (2018), 19-30
557.
Łukasz Maziarka, Jacek Tabor, Bartosz Wójcik
LOSSGRAD: Automatic Learning Rate in Gradient Descent, SCHEDAE INFORMATICAE vol. 27 (2018), 47-57
556.
555.
Sliced generative models, SCHEDAE INFORMATICAE vol. 27 (2018), 69-79
554.
Marta Pasenkiewicz-Gierula, Elżbieta Plesnar, Witold K. Subczynski, Robert Szczelina
Is the cholesterol bilayer domain a barrier to oxygen transport into the eye lens?, BBA-BIOMEMBRANES vol. 1860 (2018), 434-441
553.
552.
Maciej Capiński, Dmitry Turaev, Piotr Zgliczyński
551.
Maciej Capiński, Piotr Zgliczyński
Beyond the Melnikov method II: Multidimensional setting, J DIFFER EQUATIONS vol. 265 (2018), 3988-4015
550.
Jacek Cyranka, Piotr B. Mucha, Edriss S. Titi, Piotr Zgliczyński
549.
548.
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
547.
Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS vol. 31 (2018), 2719--2729
546.
545.
Thinking-Driven Testing. The Most Reasonabl Approach to Quality Control, (2018), Springer Verlag (połaczony z Kluwer Academic Publishing)
544.
Aneta Blat, Stefan Chłopicki, Karolina Chrabąszcz, Max Diem, Agnieszka Jasztal, Kamila Małek, Katarzyna Marzec, Marta Smęda, Bartosz Zieliński
543.
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
542.
Oleksandr Myronov, Marek Śmieja, Jacek Tabor
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