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ORCIDKrzysztof Wolk
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2020 – today
- 2022
[j10]Krzysztof Wolk, Agnieszka Wolk, Dominika Cecylia Wnuk, Tomasz Grzes
, Ida Skubis:
Survey on dialogue systems including slavic languages. Neurocomputing 477: 62-84 (2022)- [c47]Marcin Jodlowiec, Adriana Albu, Krzysztof Wolk, Nguyen Thai-Nghe, Adrian Karasinski:
Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation. ACIIDS (2) 2022: 302-312 - 2021
- [c46]Nga Ly-Tu, Rafal Kern, Khanindra Pathak, Krzysztof Wolk, Erik Dawid Burnell:
Contextual Soft Dropout Method in Training of Artificial Neural Networks. ACIIDS 2021: 692-703 - [c45]Miroslava Mikusová, Antonin Fuchs, Marcin Jodlowiec, Erik Dawid Burnell, Krzysztof Wolk:
The Impact of Aggregation Window Width on Properties of Contextual Neural Networks with Constant Field of Attention. ACIIDS 2021: 731-742 - [c44]Miroslava Mikusová, Antonin Fuchs, Adrian Karasinski, Rashmi Dutta Baruah, Rafal Palak, Erik Dawid Burnell, Krzysztof Wolk:
Towards Layer-Wise Optimization of Contextual Neural Networks with Constant Field of Aggregation. ACIIDS 2021: 743-753 - [c43]Sanjanasri J. P., Vijay Krishna Menon, K. P. Soman, Krzysztof Wolk:
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework. BUCC@RANLP 2021: 2-7 - [c42]Dominika Cecylia Wnuk, Krzysztof Wolk:
Analysis of Automatic Post-edition Techniques for Machine Translation Cost Reduction. PACIS 2021: 98 - 2020
- [j9]Krzysztof Wolk:
Advanced social media sentiment analysis for short-term cryptocurrency price prediction. Expert Syst. J. Knowl. Eng. 37(2) (2020) - [c41]Krzysztof Wolk, Rafal Palak, Erik Dawid Burnell:
Soft Dropout Method in Training of Contextual Neural Networks. ACIIDS (2) 2020: 353-363 - [c40]Erik Dawid Burnell, Krzysztof Wolk, Krzysztof Waliczek, Rafal Kern:
The Impact of Constant Field of Attention on Properties of Contextual Neural Networks. ACIIDS (2) 2020: 364-375 - [c39]Krzysztof Wolk:
Contemporary Polish Language Model (Version 2) Using Big Data and Sub-Word Approach. INTERSPEECH 2020: 4931-4935 - [c38]Krzysztof Wolk:
Incorporating Domain-Specific Neural Machine Translation into Augmented Reality Systems. PACIS 2020: 14
2010 – 2019
- 2019
- [j8]Krzysztof Wolk, Agnieszka Wolk:
Early and Remote Detection of Possible Heartbeat Problems With Convolutional Neural Networks and Multipart Interactive Training. IEEE Access 7: 145921-145927 (2019) - [j7]Krzysztof Wolk:
Emergency, Pictogram-Based Augmented Reality Medical Communicator Prototype Using Precise Eye-Tracking Technology. Cyberpsychology Behav. Soc. Netw. 22(2): 151-157 (2019) - [c37]Krzysztof Wolk, Erik Dawid Burnell:
Implementation and Analysis of Contextual Neural Networks in H2O Framework. ACIIDS (2) 2019: 429-440 - [c36]Karol Chlasta, Krzysztof Wolk, Izabela Krejtz:
Automated speech-based screening of depression using deep convolutional neural networks. CENTERIS/ProjMAN/HCist 2019: 618-628 - [c35]Lukasz Kobylinski, Maciej Ogrodniczuk, Jan Kocon, Michal Marcinczuk, Aleksander Smywinski-Pohl, Krzysztof Wolk, Danijel Korzinek, Michal Ptaszynski, Agata Pieciukiewicz, Pawel Dybala:
Evaluating Natural Language Processing tools for Polish during PolEval 2019. LCT 2019: 303-321 - [c34]Krzysztof Wolk, Emilia Zawadzka-Gosk, Wojciech Czarnowski:
Deep Learning and Sub-Word-Unit Approach in Written Art Generation. WorldCIST (1) 2019: 303-315 - [c33]Emilia Zawadzka-Gosk, Krzysztof Wolk, Wojciech Czarnowski:
Deep Learning in State-of-the-Art Image Classification Exceeding 99% Accuracy. WorldCIST (1) 2019: 946-957 - [i24]Krzysztof Wolk, Emilia Zawadzka-Gosk, Wojciech Czarnowski:
Deep learning and sub-word-unit approach in written art generation. CoRR abs/1901.07426 (2019) - [i23]Karol Chlasta, Krzysztof Wolk, Izabela Krejtz:
Automated speech-based screening of depression using deep convolutional neural networks. CoRR abs/1912.01115 (2019) - 2018
- [j6]Emilia Zawadzka-Gosk, Krzysztof Wolk:
Semantic-enabled Hybrid Genetic Disease Diagnostics in Next-Generation Sequenced Data. Comput. Sci. 19(2): 179-200 (2018) - [c32]Bartosz Jerzy Janusz, Krzysztof Wolk:
Implementing Contextual Neural Networks in Distributed Machine Learning Framework. ACIIDS (2) 2018: 212-223 - [c31]Nicola Cholewa, Krzysztof Wolk, Robert Wolk:
Precise eye-tracking technology in medical communicator prototype. CENTERIS/ProjMAN/HCist 2018: 264-271 - [c30]Krzysztof Wolk, Krzysztof Marasek:
Survey on Neural Machine Translation into Polish. MISSI 2018: 260-272 - [c29]Krzysztof Wolk, Wojciech Glinkowski, Agnieszka Zukowska:
Enhancing the Assessment of (Polish) Translation in PROMIS Using Statistical, Semantic, and Neural Network Metrics. WorldCIST (2) 2018: 351-366 - [c28]Krzysztof Wolk, Agnieszka Wolk:
Augmenting SMT with Semantically-Generated Virtual-Parallel Corpora from Monolingual Texts. WorldCIST (1) 2018: 358-374 - [c27]Krzysztof Wolk:
Mixing Textual Data Selection Methods for Improved In-Domain Data Adaptation. WorldCIST (2) 2018: 367-377 - [c26]Krzysztof Wolk, Emilia Zawadzka, Agnieszka Wolk:
Statistical Approach to Noisy-Parallel and Comparable Corpora Filtering for the Extraction of Bi-lingual Equivalent Data at Sentence-Level. WorldCIST (1) 2018: 797-812 - 2017
- [j5]Krzysztof Wolk, Danijel Korzinek:
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking. Comput. Sci. 18(2): 129-144 (2017) - [j4]Krzysztof Wolk, Agnieszka Wolk, Wojciech Glinkowski:
A Cross-Lingual Mobile Medical Communication System Prototype for Foreigners and Subjects with Speech, Hearing, and Mental Disabilities Based on Pictograms. Comput. Math. Methods Medicine 2017: 4306416:1-4306416:9 (2017) - [c25]Krzysztof Wolk, Agnieszka Wolk, Krzysztof Marasek, Wojciech Glinkowski:
Pictogram-based mobile first medical aid communicator. CENTERIS/ProjMAN/HCist 2017: 3-10 - [c24]Krzysztof Wolk, Agnieszka Wolk:
Machine enhanced translation of the Human Phenotype Ontology project. CENTERIS/ProjMAN/HCist 2017: 11-18 - [c23]Krzysztof Wolk, Agnieszka Wolk, Krzysztof Marasek:
Unsupervised tool for quantification of progress in L2 English phraseological. FedCSIS 2017: 383-388 - [c22]Krzysztof Wolk, Agnieszka Wolk, Krzysztof Marasek:
Big Data Language Model of Contemporary Polish. FedCSIS 2017: 389-395 - [c21]Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk, Krzysztof Marasek, Przemyslaw Rokita:
Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title. ISMIS 2017: 136-145 - [c20]Krzysztof Wolk, Krzysztof Marasek:
PJIIT's systems for WMT 2017 Conference. WMT 2017: 416-421 - [c19]Krzysztof Wolk, Agnieszka Wolk:
Augmenting SMT with Generated Pseudo-parallel Corpora from Monolingual News Resources. WorldCIST (1) 2017: 308-316 - [c18]Krzysztof Wolk, Agnieszka Wolk:
Automatic Parallel Data Mining After Bilingual Document Alignment. WorldCIST (1) 2017: 317-327 - [i22]Danijel Korzinek, Krzysztof Marasek, Lukasz Brocki, Krzysztof Wolk:
Polish Read Speech Corpus for Speech Tools and Services. CoRR abs/1706.00245 (2017) - [i21]Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk, Krzysztof Marasek, Przemyslaw Rokita:
Shallow reading with Deep Learning: Predicting popularity of online content using only its title. CoRR abs/1707.06806 (2017) - 2016
- [j3]Agnieszka Wolk, Krzysztof Wolk, Krzysztof Marasek:
Enhancements in Statistical Spoken Language Translation by De-normalization of ASR Results. J. Comput. 11(1): 33-40 (2016) - [c17]Danijel Korzinek, Krzysztof Marasek, Lukasz Brocki, Krzysztof Wolk:
Polish Read Speech Corpus for Speech Tools and Services. CLARIN Annual Conference 2016: 54-62 - [c16]Krzysztof Wolk, Krzysztof Marasek, Agnieszka Wolk:
Exploration for Polish-* bi-lingual translation equivalents from comparable and quasi-comparable corpora. FedCSIS 2016: 517-525 - [c15]Krzysztof Wolk, Agnieszka Wolk, Krzysztof Marasek:
Implementing Statistical Machine Translation into Mobile Augmented Reality Systems. MISSI 2016: 61-73 - [c14]Krzysztof Wolk, Danijel Korzinek, Krzysztof Marasek:
Semi-automatic and Human-Aided Translation Evaluation Metric (HMEANT) for Polish Language in Re-speaking and MT Assessment. MISSI 2016: 241-249 - [c13]Agnieszka Wolk, Krzysztof Wolk, Krzysztof Marasek:
Analysis of Complexity Between Spoken and Written Language for Statistical Machine Translation in West-Slavic Group. MISSI 2016: 251-260 - [c12]Krzysztof Wolk, Krzysztof Marasek:
Unsupervised Construction of Quasi-comparable Corpora and Probing for Parallel Textual Data. MISSI 2016: 307-320 - [c11]Krzysztof Wolk, Krzysztof Marasek:
PJAIT Systems for the WMT 2016. WMT 2016: 411-414 - [i20]Krzysztof Wolk, Danijel Korzinek:
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking. CoRR abs/1601.02789 (2016) - [i19]Krzysztof Wolk, Emilia Rejmund, Krzysztof Marasek:
Multi-domain machine translation enhancements by parallel data extraction from comparable corpora. CoRR abs/1603.06785 (2016) - [i18]Krzysztof Wolk:
Building an Internet Radio System with Interdisciplinary factored system for automatic content recommendation. CoRR abs/1604.00233 (2016) - 2015
- [j2]Krzysztof Wolk:
Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level. Comput. Sci. 16(2): 169-184 (2015) - [j1]Krzysztof Wolk, Krzysztof Marasek, Wojciech Glinkowski:
Telemedicine as a special case of machine translation. Comput. Medical Imaging Graph. 46: 249-256 (2015) - [c10]Krzysztof Wolk, Krzysztof Marasek:
Neural-based Machine Translation for Medical Text Domain. Based on European Medicines Agency Leaflet Texts. CENTERIS/ProjMAN/HCist 2015: 2-9 - [c9]Krzysztof Wolk, Emilia Rejmund, Krzysztof Marasek:
Harvesting Comparable Corpora and Mining Them for Equivalent Bilingual Sentences Using Statistical Classification and Analogy-Based Heuristics. ISMIS 2015: 433-441 - [c8]Krzysztof Wolk, Krzysztof Marasek:
Unsupervised comparable corpora preparation and exploration for bi-lingual translation equivalents. IWSLT 2015 - [c7]Krzysztof Wolk, Krzysztof Marasek:
PJAIT systems for the IWSLT 2015 evaluation campaign enhanced by comparable corpora. IWSLT (Evaluation Campaign) 2015 - [c6]Krzysztof Wolk, Krzysztof Marasek:
Tuned and GPU-Accelerated Parallel Data Mining from Comparable Corpora. TSD 2015: 32-40 - [i17]Krzysztof Wolk, Krzysztof Marasek:
Tuned and GPU-accelerated parallel data mining from comparable corpora. CoRR abs/1509.08639 (2015) - [i16]Krzysztof Wolk, Krzysztof Marasek:
Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts. CoRR abs/1509.08644 (2015) - [i15]Krzysztof Wolk, Krzysztof Marasek:
Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2014. CoRR abs/1509.08874 (2015) - [i14]Krzysztof Wolk, Krzysztof Marasek:
Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs. CoRR abs/1509.08881 (2015) - [i13]Krzysztof Wolk, Krzysztof Marasek:
Polish -English Statistical Machine Translation of Medical Texts. CoRR abs/1509.08909 (2015) - [i12]Krzysztof Wolk, Krzysztof Marasek:
Enhanced Bilingual Evaluation Understudy. CoRR abs/1509.09088 (2015) - [i11]Krzysztof Wolk, Krzysztof Marasek:
Real-Time Statistical Speech Translation. CoRR abs/1509.09090 (2015) - [i10]Krzysztof Wolk, Krzysztof Marasek:
A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation. CoRR abs/1509.09093 (2015) - [i9]Krzysztof Wolk, Krzysztof Marasek:
Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2013. CoRR abs/1509.09097 (2015) - [i8]Krzysztof Wolk:
Polish to English Statistical Machine Translation. CoRR abs/1510.00001 (2015) - [i7]Krzysztof Wolk:
Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level. CoRR abs/1510.04500 (2015) - [i6]Krzysztof Wolk, Krzysztof Marasek, Wojciech Glinkowski:
Telemedicine as a special case of Machine Translation. CoRR abs/1510.04600 (2015) - [i5]Krzysztof Wolk, Emilia Rejmund, Krzysztof Marasek:
Harvesting comparable corpora and mining them for equivalent bilingual sentences using statistical classification and analogy- based heuristics. CoRR abs/1511.06285 (2015) - [i4]Krzysztof Marasek, Lukasz Brocki, Danijel Korzinek, Krzysztof Wolk, Ryszard Gubrynowicz:
Spoken Language Translation for Polish. CoRR abs/1511.07788 (2015) - [i3]Agnieszka Wolk, Krzysztof Wolk, Krzysztof Marasek:
Enhancements in statistical spoken language translation by de-normalization of ASR results. CoRR abs/1511.09392 (2015) - [i2]Krzysztof Wolk, Krzysztof Marasek:
PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora. CoRR abs/1512.01639 (2015) - [i1]Krzysztof Wolk, Krzysztof Marasek:
Unsupervised comparable corpora preparation and exploration for bi-lingual translation equivalents. CoRR abs/1512.01641 (2015) - 2014
- [c5]Krzysztof Wolk, Krzysztof Marasek:
Polish-English speech statistical machine translation systems for the IWSLT 2014. IWSLT (Evaluation Campaign) 2014 - [c4]Krzysztof Wolk, Krzysztof Marasek:
Polish-English Statistical Machine Translation of Medical Texts. MISSI 2014: 169-179 - [c3]Krzysztof Wolk, Krzysztof Marasek:
Real-Time Statistical Speech Translation. WorldCIST (1) 2014: 107-113 - [c2]Krzysztof Wolk, Krzysztof Marasek:
A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation. WorldCIST (1) 2014: 229-237 - 2013
- [c1]Krzysztof Wolk, Krzysztof Marasek:
Polish-English speech statistical machine translation systems for the IWSLT 2013. IWSLT (Evaluation Campaign) 2013
Coauthor Index
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