default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRandy Goebel
Randy G. Goebel
Person information
- affiliation: University of Alberta, Edmonton, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j53]Shahin Atakishiyev
, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. IEEE Access 12: 101603-101625 (2024)- [j52]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane:
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach. Lang. Resour. Evaluation 58(3): 1013-1041 (2024) - [j51]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane:
Deep temporal modelling of clinical depression through social media text. Nat. Lang. Process. J. 6: 100052 (2024) - [j50]Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, Masaharu Yoshioka:
Preface of Special Issue on 10th Competition on Legal Information of Extraction and Entailment (COLIEE 2023). Rev. Socionetwork Strateg. 18(1): 25-26 (2024) - [j49]Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, Masaharu Yoshioka:
Overview and Discussion of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023. Rev. Socionetwork Strateg. 18(1): 27-47 (2024) - [j48]Mi-Young Kim, Juliano Rabelo, Housam Khalifa Bashier Babiker, Md. Abed Rahman, Randy Goebel:
Legal Information Retrieval and Entailment Using Transformer-based Approaches. Rev. Socionetwork Strateg. 18(1): 101-121 (2024) - [c131]Shahin Atakishiyev, Mohammad Salameh, Randy Goebel:
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles. IV 2024: 2948-2955 - [c130]Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, Masaharu Yoshioka:
Overview of Benchmark Datasets and Methods for the Legal Information Extraction/Entailment Competition (COLIEE) 2024. JSAI-isAI 2024: 109-124 - [i29]Shahin Atakishiyev, Mohammad Salameh, Randy Goebel:
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving. CoRR abs/2403.12176 (2024) - [i28]Shahin Atakishiyev, Mohammad Salameh, Randy Goebel:
Incorporating Explanations into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles. CoRR abs/2404.07383 (2024) - [i27]Teruaki Hayashi, Hiroki Sakaji, Jiayi Dai, Randy Goebel:
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models. CoRR abs/2410.04231 (2024) - [i26]Ken Satoh, Ha-Thanh Nguyen, Francesca Toni, Randy Goebel, Kostas Stathis:
Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024). CoRR abs/2410.05339 (2024) - 2023
- [c129]Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang:
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure. AAAI 2023: 7078-7086 - [c128]Housam Khalifa Bashier Babiker, Mi-Young Kim, Randy Goebel:
From Intermediate Representations to Explanations: Exploring Hierarchical Structures in NLP. ECAI 2023: 157-164 - [c127]Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, Masaharu Yoshioka:
Summary of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023. ICAIL 2023: 472-480 - [c126]Ha-Thanh Nguyen, Randy Goebel, Francesca Toni, Kostas Stathis, Ken Satoh:
How well do SOTA legal reasoning models support abductive reasoning? ICLP Workshops 2023 - [c125]Shahin Atakishiyev, Mohammad Salameh, Housam Khalifa Bashier Babiker, Randy Goebel:
Explaining Autonomous Driving Actions with Visual Question Answering. ITSC 2023: 1207-1214 - [c124]Ha Thanh Nguyen, Randy Goebel, Francesca Toni, Kostas Stathis, Ken Satoh:
LawGiBa - Combining GPT, Knowledge Bases, and Logic Programming in a Legal Assistance System. JURIX 2023: 371-374 - [e8]Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong:
Trustworthy Federated Learning - First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13448, Springer 2023, ISBN 978-3-031-28995-8 [contents] - [i25]Ha-Thanh Nguyen, Randy Goebel, Francesca Toni, Kostas Stathis, Ken Satoh:
How well do SOTA legal reasoning models support abductive reasoning? CoRR abs/2304.06912 (2023) - [i24]Ha-Thanh Nguyen, Randy Goebel, Francesca Toni, Kostas Stathis, Ken Satoh:
A negation detection assessment of GPTs: analysis with the xNot360 dataset. CoRR abs/2306.16638 (2023) - [i23]Shahin Atakishiyev, Mohammad Salameh, Housam Khalifa Bashier Babiker, Randy Goebel:
Explaining Autonomous Driving Actions with Visual Question Answering. CoRR abs/2307.10408 (2023) - [i22]Ha-Thanh Nguyen, Randy Goebel, Francesca Toni, Kostas Stathis, Ken Satoh:
Black-Box Analysis: GPTs Across Time in Legal Textual Entailment Task. CoRR abs/2309.05501 (2023) - 2022
- [j47]Yong Chen, Yinhui Cai, Longcheng Liu, Guangting Chen, Randy Goebel, Guohui Lin, Bing Su, An Zhang:
Path cover with minimum nontrivial paths and its application in two-machine flow-shop scheduling with a conflict graph. J. Comb. Optim. 43(3): 571-588 (2022) - [j46]Mingyang Gong, Randy Goebel, Guohui Lin, Eiji Miyano:
Improved approximation algorithms for non-preemptive multiprocessor scheduling with testing. J. Comb. Optim. 44(1): 877-893 (2022) - [j45]Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, Bing Su, Weitian Tong, Yao Xu, An Zhang:
A local search 4/3-approximation algorithm for the minimum 3-path partition problem. J. Comb. Optim. 44(5): 3595-3610 (2022) - [j44]Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Ken Satoh, Masaharu Yoshioka:
Preface of Special Issue on 8th Competition on Legal Information of Extraction and Entailment (COLIEE 2021). Rev. Socionetwork Strateg. 16(1): 109-110 (2022) - [j43]Juliano Rabelo, Randy Goebel, Mi-Young Kim, Yoshinobu Kano, Masaharu Yoshioka, Ken Satoh:
Overview and Discussion of the Competition on Legal Information Extraction/Entailment (COLIEE) 2021. Rev. Socionetwork Strateg. 16(1): 111-133 (2022) - [j42]Mi-Young Kim, Juliano Rabelo, Kingsley Okeke, Randy Goebel:
Legal Information Retrieval and Entailment Based on BM25, Transformer and Semantic Thesaurus Methods. Rev. Socionetwork Strateg. 16(1): 157-174 (2022) - [c123]Housam Khalifa Bashier Babiker, Mi-Young Kim, Randy Goebel:
Locally Distributed Activation Vectors for Guided Feature Attribution. COLING 2022: 994-1005 - [c122]Mi-Young Kim, Juliano Rabelo, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, Ken Satoh:
COLIEE 2022 Summary: Methods for Legal Document Retrieval and Entailment. JSAI-isAI Workshops 2022: 51-67 - [c121]Juliano Rabelo, Mi-Young Kim, Randy Goebel:
Semantic-Based Classification of Relevant Case Law. JSAI-isAI Workshops 2022: 84-95 - [c120]Nawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan:
DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers. LT-EDI 2022: 167-171 - [c119]Housam Khalifa Bashier Babiker, Mi-Young Kim, Randy Goebel:
Neural Networks with Feature Attribution and Contrastive Explanations. ECML/PKDD (1) 2022: 372-388 - [e7]Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek:
xxAI - Beyond Explainable AI - International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers. Lecture Notes in Computer Science 13200, Springer 2022, ISBN 978-3-031-04082-5 [contents] - [i21]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane:
Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach. CoRR abs/2209.02765 (2022) - [i20]Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen:
NeurIPS 2022 Competition: Driving SMARTS. CoRR abs/2211.07545 (2022) - [i19]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane:
Deep Temporal Modelling of Clinical Depression through Social Media Text. CoRR abs/2211.07717 (2022) - 2021
- [j41]Jianming Dong, Randy Goebel, Jueliang Hu, Guohui Lin, Bing Su:
Minimizing total job completion time in MapReduce scheduling. Comput. Ind. Eng. 158: 107387 (2021) - [j40]Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Hengshuai Yao, Peter Chun:
A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. Mach. Learn. Knowl. Extr. 3(4): 900-921 (2021) - [c118]Housam Khalifa Bashier Babiker, Mi-Young Kim, Randy Goebel:
DISK-CSV: Distilling Interpretable Semantic Knowledge with a Class Semantic Vector. EACL 2021: 3021-3030 - [c117]Mohomed Shazan Mohomed Jabbar, Luke N. Kumar, Hamman Waqar Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, Osmar Zaïane:
DeepDup: Duplicate Question Detection in Community Question Answering. ICDLT 2021: 8-12 - [c116]Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan:
Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. ICMLA 2021: 1472-1477 - [c115]Amir Rasouli, Soheil Alizadeh, Iuliia Kotseruba, Yi Ma, Hebin Liang, Yuan Tian, Zhiyu Huang, Haochen Liu, Jingda Wu, Randy Goebel, Tianpei Yang, Matthew E. Taylor, Liam Paull, Xi Chen:
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) 2021: 73-84 - [i18]Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel:
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. CoRR abs/2105.12364 (2021) - [i17]Nawshad Farruque, Randy Goebel, Osmar Zaïane, Sudhakar Sivapalan:
STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text. CoRR abs/2106.10928 (2021) - [i16]Nawshad Farruque, Randy Goebel, Osmar Zaïane:
A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language. CoRR abs/2106.12797 (2021) - [i15]Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Towards safe, explainable, and regulated autonomous driving. CoRR abs/2111.10518 (2021) - [i14]Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel:
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions. CoRR abs/2112.11561 (2021) - 2020
- [j39]Longcheng Liu, Yong Chen, Jianming Dong, Randy Goebel, Guohui Lin, Yue Luo, Guanqun Ni, Bing Su, Yao Xu, An Zhang:
Approximation algorithms for the three-machine proportionate mixed shop scheduling. Theor. Comput. Sci. 803: 57-70 (2020) - [j38]Yong Chen, Randy Goebel, Guohui Lin, Bing Su, An Zhang:
Open-shop scheduling for unit jobs under precedence constraints. Theor. Comput. Sci. 803: 144-151 (2020) - [c114]Luca Longo, Randy Goebel, Freddy Lécué, Peter Kieseberg, Andreas Holzinger:
Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions. CD-MAKE 2020: 1-16 - [c113]Housam Khalifa Bashier Babiker, Mi-Young Kim, Randy Goebel:
RANCC: Rationalizing Neural Networks via Concept Clustering. COLING 2020: 3214-3224 - [c112]Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek:
xxAI - Beyond Explainable Artificial Intelligence. xxAI@ICML 2020: 3-10 - [c111]Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, Ken Satoh:
COLIEE 2020: Methods for Legal Document Retrieval and Entailment. JSAI-isAI Workshops 2020: 196-210 - [c110]Juliano Rabelo, Mi-Young Kim, Randy Goebel:
The Application of Text Entailment Techniques in COLIEE 2020. JSAI-isAI Workshops 2020: 240-253 - [e6]Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller:
Artificial Intelligence and Machine Learning for Digital Pathology - State-of-the-Art and Future Challenges. Lecture Notes in Computer Science 12090, Springer 2020, ISBN 978-3-030-50401-4 [contents] - [i13]Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, M.-Y. Kima, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Osmar R. Zaïane:
A multi-component framework for the analysis and design of explainable artificial intelligence. CoRR abs/2005.01908 (2020)
2010 – 2019
- 2019
- [j37]Yong Chen, Randy Goebel, Guohui Lin, Bing Su, Yao Xu, An Zhang:
An improved approximation algorithm for the minimum 3-path partition problem. J. Comb. Optim. 38(1): 150-164 (2019) - [j36]Tomonobu Ozaki, Randy Goebel, Katsumi Inoue:
From Fifth Generation Computing to Skill Science - A Biographical Essay of Koichi Furukawa. New Gener. Comput. 37(2): 141-158 (2019) - [c109]Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel:
A Multi-Task Learning Framework for Abstractive Text Summarization. AAAI 2019: 9987-9988 - [c108]Nawshad Farruque, Chenyang Huang, Osmar Zaïane, Randy Goebel:
Basic and Depression Specific Emotions Identification in Tweets: Multi-label Classification Experiments. CICLing (2) 2019: 293-306 - [c107]Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, Bing Su, Weitian Tong, Yao Xu, An Zhang:
A Local Search 4/3-approximation Algorithm for the Minimum 3-path Partition Problem. FAW 2019: 14-25 - [c106]Mi-Young Kim, Juliano Rabelo, Randy Goebel:
Statute Law Information Retrieval and Entailment. ICAIL 2019: 283-289 - [c105]Juliano Rabelo, Mi-Young Kim, Randy Goebel:
Combining Similarity and Transformer Methods for Case Law Entailment. ICAIL 2019: 290-296 - [c104]Yong Chen, Randy Goebel, Bing Su, Weitian Tong, Yao Xu, An Zhang:
A 21/16-Approximation for the Minimum 3-Path Partition Problem. ISAAC 2019: 46:1-46:20 - [c103]Juliano Rabelo, Mi-Young Kim, Randy Goebel, Masaharu Yoshioka, Yoshinobu Kano, Ken Satoh:
A Summary of the COLIEE 2019 Competition. JSAI-isAI Workshops 2019: 34-49 - [c102]Nawshad Farruque, Osmar R. Zaïane, Randy Goebel:
Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs. ECML/PKDD (3) 2019: 359-375 - 2018
- [j35]Wenchang Luo, Yao Xu, Boyuan Gu, Weitian Tong, Randy Goebel, Guohui Lin:
Algorithms for Communication Scheduling in Data Gathering Network with Data Compression. Algorithmica 80(11): 3158-3176 (2018) - [j34]Wenchang Luo, Taibo Luo, Randy Goebel, Guohui Lin:
Rescheduling due to machine disruption to minimize the total weighted completion time. J. Sched. 21(5): 565-578 (2018) - [j33]Weitian Tong, Eiji Miyano, Randy Goebel, Guohui Lin:
An approximation scheme for minimizing the makespan of the parallel identical multi-stage flow-shops. Theor. Comput. Sci. 734: 24-31 (2018) - [c101]Longcheng Liu, Guanqun Ni, Yong Chen, Randy Goebel, Yue Luo, An Zhang, Guohui Lin:
Approximation Algorithms and a Hardness Result for the Three-Machine Proportionate Mixed Shop. AAIM 2018: 268-280 - [c100]Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lécué, Zeynep Akata, Simone Stumpf, Peter Kieseberg, Andreas Holzinger:
Explainable AI: The New 42? CD-MAKE 2018: 295-303 - [c99]An Zhang, Yong Chen, Randy Goebel, Guohui Lin:
Open-Shop Scheduling for Unit Jobs Under Precedence Constraints. COCOA 2018: 329-340 - [c98]Yinhui Cai, Guangting Chen, Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, An Zhang:
Approximation Algorithms for Two-Machine Flow-Shop Scheduling with a Conflict Graph. COCOON 2018: 205-217 - [c97]Yoshinobu Kano, Mi-Young Kim, Masaharu Yoshioka, Yao Lu, Juliano Rabelo, Naoki Kiyota, Randy Goebel, Ken Satoh:
COLIEE-2018: Evaluation of the Competition on Legal Information Extraction and Entailment. JSAI-isAI Workshops 2018: 177-192 - [i12]Yinhui Cai, Guangting Chen, Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, An Zhang:
Approximation algorithms for two-machine flow-shop scheduling with a conflict graph. CoRR abs/1803.02862 (2018) - [i11]Longcheng Liu, Yong Chen, Jianming Dong, Randy Goebel, Guohui Lin, Yue Luo, Guanqun Ni, Bing Su, An Zhang:
Approximation algorithms for the three-machine proportionate mixed shop scheduling. CoRR abs/1809.05745 (2018) - [i10]Mohomed Shazan Mohomed Jabbar, Luke N. Kumar, Hamman Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, Osmar R. Zaïane:
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering. CoRR abs/1811.06596 (2018) - [i9]Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, Bing Su, Weitian Tong, Yao Xu, An Zhang:
A local search 4/3-approximation algorithm for the minimum 3-path partition problem. CoRR abs/1812.09353 (2018) - 2017
- [c96]Yoshinobu Kano, Mi-Young Kim, Randy Goebel, Ken Satoh:
Overview of COLIEE 2017. COLIEE@ICAIL 2017: 1-8 - [c95]Mi-Young Kim, Randy Goebel:
Two-step cascaded textual entailment for legal bar exam question answering. ICAIL 2017: 283-290 - [c94]Housam Khalifa Bashier Babiker, Randy Goebel, Irene Cheng:
Facial expression recognition using SVM classification on mic-macro patterns. ICIP 2017: 1757-1761 - [c93]Mi-Young Kim, Yao Lu, Randy Goebel:
Textual Entailment in Legal Bar Exam Question Answering Using Deep Siamese Networks. JSAI-isAI Workshops 2017: 35-48 - [e5]Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade:
Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers. Lecture Notes in Computer Science 10344, Springer 2017, ISBN 978-3-319-69774-1 [contents] - [e4]Ken Satoh, Mi-Young Kim, Yoshinobu Kano, Randy Goebel, Tiago Oliveira:
COLIEE 2017. 4th Competition on Legal Information Extraction and Entailment, held in conjunction with the 16th International Conference on Artificial Intelligence and Law (ICAIL 2017) in King's College London, UK. EPiC Series in Computing 47, EasyChair 2017 [contents] - [i8]Wenchang Luo, Taibo Luo, Randy Goebel, Guohui Lin:
On rescheduling due to machine disruption while to minimize the total weighted completion time. CoRR abs/1701.07498 (2017) - [i7]Housam Khalifa Bashier Babiker, Randy Goebel:
Using KL-divergence to focus Deep Visual Explanation. CoRR abs/1711.06431 (2017) - [i6]Housam Khalifa Bashier Babiker, Randy Goebel:
An Introduction to Deep Visual Explanation. CoRR abs/1711.09482 (2017) - 2016
- [j32]Jueliang Hu, Taibo Luo, Xiaotong Su, Jianming Dong, Weitian Tong, Randy Goebel, Yinfeng Xu, Guohui Lin:
Machine scheduling with a maintenance interval and job delivery coordination. Optim. Lett. 10(8): 1645-1656 (2016) - [j31]Weitian Tong, Randy Goebel, Guohui Lin:
Smoothed heights of tries and patricia tries. Theor. Comput. Sci. 609: 620-626 (2016) - [c92]Weitian Tong, Eiji Miyano, Randy Goebel, Guohui Lin:
A PTAS for the Multiple Parallel Identical Multi-stage Flow-Shops to Minimize the Makespan. FAW 2016: 227-237 - [c91]Randy Goebel:
Why Visualization is an AI-complete Problem (and Why That Matters). IV 2016: 27-32 - [c90]Mi-Young Kim, Ying Xu, Yao Lu, Randy Goebel:
Question Answering of Bar Exams by Paraphrasing and Legal Text Analysis. JSAI-isAI Workshops 2016: 299-313 - [i5]Yao Xu, Randy Goebel, Guohui Lin:
Submodular and supermodular multi-labeling, and vertex happiness. CoRR abs/1606.03185 (2016) - 2015
- [j30]Liqin Huang, Weitian Tong, Randy Goebel, Tian Liu, Guohui Lin:
A 0.5358-approximation for Bandpass-2. J. Comb. Optim. 30(3): 612-626 (2015) - [j29]Mi-Young Kim, Ying Xu, Osmar R. Zaïane, Randy Goebel:
Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts. ACM Trans. Intell. Syst. Technol. 6(4): 59:1-59:23 (2015) - [c89]Ying Xu, Christoph Ringlstetter, Mi-Young Kim, Grzegorz Kondrak, Randy Goebel, Yusuke Miyao:
A Lexicalized Tree Kernel for Open Information Extraction. ACL (2) 2015: 279-284 - [c88]Andreas Holzinger, Randy Goebel, Vasile Palade, Massimo Ferri:
Towards Integrative Machine Learning and Knowledge Extraction. BIRS-IMLKE 2015: 1-12 - [c87]Jueliang Hu, Taibo Luo, Xiaotong Su, Jianming Dong, Weitian Tong, Randy Goebel, Yinfeng Xu, Guohui Lin:
Machine Scheduling with a Maintenance Interval and Job Delivery Coordination. FAW 2015: 104-114 - [c86]Jonas Sjöbergh, Xingkai Li, Randy Goebel, Yuzuru Tanaka:
A Visualization-Analytics-Interaction Workflow Framework for Exploratory and Explanatory Search on Geo-located Search Data Using the Meme Media Digital Dashboard. IV 2015: 300-309 - [c85]Mi-Young Kim, Ying Xu, Randy Goebel:
Applying a Convolutional Neural Network to Legal Question Answering. JSAI-isAI Workshops 2015: 282-294 - [p3]Michael Duerr-Specht, Randy Goebel, Andreas Holzinger:
Medicine and Health Care as a Data Problem: Will Computers Become Better Medical Doctors? Smart Health 2015: 21-39 - [e3]Tao Li, Lukasz A. Kurgan, Vasile Palade, Randy Goebel, Andreas Holzinger, Karin Verspoor, M. Arif Wani:
14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015. IEEE 2015, ISBN 978-1-5090-0287-0 [contents] - 2014
- [j28]Wei Shi, Randy Goebel, Yuzuru Tanaka:
A New Database Visualization Framework for the Automatic Construction of Non-standard Charts: Re-creating the Chart of Napoleon's Russian Campaign of 1812. Cartogr. Int. J. Geogr. Inf. Geovisualization 49(4): 241-261 (2014) - [j27]Zhixiang Chen, Bin Fu, Randy Goebel, Guohui Lin, Weitian Tong, Jinhui Xu, Boting Yang, Zhiyu Zhao, Binhai Zhu:
On the approximability of the exemplar adjacency number problem for genomes with gene repetitions. Theor. Comput. Sci. 550: 59-65 (2014) - [j26]Weitian Tong, Randy Goebel, Guohui Lin:
Approximating the minimum independent dominating set in perturbed graphs. Theor. Comput. Sci. 554: 275-282 (2014) - [j25]Weitian Tong, Randy Goebel, Tian Liu, Guohui Lin:
Approximating the maximum multiple RNA interaction problem. Theor. Comput. Sci. 556: 63-70 (2014) - [c84]Weitian Tong, Randy Goebel, Guohui Lin:
On the Smoothed Heights of Trie and Patricia Index Trees. COCOON 2014: 94-103 - [c83]Mojgan Pourrajabi, Davoud Moulavi, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander, Randy Goebel:
Model Selection for Semi-Supervised Clustering. EDBT 2014: 331-342 - [c82]Randy Goebel:
A Sketch of a Theory of Visualization. IVAPP 2014: 218-221 - [c81]Randy Goebel, Wei Shi, Yuzuru Tanaka:
The Challenge of Semantic Symmetry in Visualization. IV 2014: 27-33 - [c80]Xingkai Li, Randy Goebel, Jonas Sjöbergh:
Towards the Identification of Consumer Trajectories in Geo-Located Search Data. IV 2014: 202-210 - [c79]Mi-Young Kim, Ying Xu, Randy Goebel:
Legal Question Answering Using Ranking SVM and Syntactic/Semantic Similarity. JSAI-isAI Workshops 2014: 244-258 - [i4]Randy Goebel, Yuji Matsumoto, Ken Satoh:
Towards Explanation Production Combining Natural Language Processing and Logical Reasoning (NII Shonan Meeting 2014-15). NII Shonan Meet. Rep. 2014 (2014) - 2013
- [j24]