Takashi Ishida

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 35

Top Topics

Language Learning

Protein Interaction

Top Venues

Publications

Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification. CoRR (2022)
Keno Sato, Takayuki Nakatani, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Shogo Katayama, Gaku Ogihara, Daisuke Iimori, Yujie Zhao, Jianglin Wei, Anna Kuwana, Kazumi Hatayama, Haruo Kobayashi
High Precision Measurement of Sub-Nano Ampere Current in ATE Environment. ATS (2021)
Daisuke Iimori, Takayuki Nakatani, Shogo Katayama, Gaku Ogihara, Akemi Hatta, Anna Kuwana, Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Jianglin Wei, Yujie Zhao, Minh Tri Tran, Kazumi Hatayama, Haruo Kobayashi
Summing Node and False Summing Node Methods: Accurate Operational Amplifier AC Characteristics Testing without Audio Analyzer. ITC (2021)
Shuhei Yamamoto, Yuto Sasaki, Yujie Zhao, Jianglin Wei, Anna Kuwana, Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Takayuki Nakatani, Minh Tri Tran, Shogo Katayama, Kazumi Hatayama, Haruo Kobayashi
Metallic Ratio Equivalent-Time Sampling: A Highly Efficient Waveform Acquisition Method. IOLTS (2021)
Toshitaka Tanebe, Takashi Ishida
End-to-end learning for compound activity prediction based on binding pocket information. BMC Bioinform. (3) (2021)
Haris Hasic, Takashi Ishida
Single-Step Retrosynthesis Prediction Based on the Identification of Potential Disconnection Sites Using Molecular Substructure Fingerprints. J. Chem. Inf. Model. 61 (2) (2021)
Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama
LocalDrop: A Hybrid Regularization for Deep Neural Networks. CoRR (2021)
Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Jianglin Wei, Takayuki Nakatani, Yujie Zhao, Shogo Katayama, Shuhei Yamamoto, Anna Kuwana, Kazumi Hatayama, Haruo Kobayashi
Revisit to Accurate ADC Testing with Incoherent Sampling Using Proper Sinusoidal Signal and Sampling Frequencies. ITC (2021)
Gaku Ogihara, Takayuki Nakatani, Daisuke Iimori, Shogo Katayama, Anna Kuwana, Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Yujie Zhao, Jianglin Wei, Kazumi Hatayama, Haruo Kobayashi
Evaluation of High-Precision Nano-Ampere Current Measurement Method for Mass Production. ICECS (2021)
Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama
Do We Need Zero Training Loss After Achieving Zero Training Error? CoRR (2020)
Katsuyuki Umezawa, Tomohiko Saito, Takashi Ishida, Makoto Nakazawa, Shigeichi Hirasawa
Learning-State-Estimation Method Using Browsing History and Electroencephalogram During Programming Language Learning and Its Evaluation. HELMeTO (2020)
Takashi Ishida, Ikko Yamane, Tomoya Sakai, Gang Niu, Masashi Sugiyama
Do We Need Zero Training Loss After Achieving Zero Training Error? ICML (2020)
Shuichiro Makigaki, Takashi Ishida
Sequence alignment using machine learning for accurate template-based protein structure prediction. Bioinform. 36 (1) (2020)
Gaku Ogihara, Takayuki Nakatani, Akemi Hatta, Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Anna Kuwana, Riho Aoki, Shogo Katayama, Jianglin Wei, Yujie Zhao, Jianlong Wang, Kazumi Hatayama, Haruo Kobayashi
Summing Node Test Method: Simultaneous Multiple AC Characteristics Testing of Multiple Operational Amplifiers. ATS (2020)
Kento Aoyama, Masanori Kakuta, Yuri Matsuzaki, Takashi Ishida, Masahito Ohue, Yutaka Akiyama
Development of Computational Pipeline Software for Genome/Exome Analysis on the K Computer. Supercomput. Front. Innov. 7 (1) (2020)
Keno Sato, Takayuki Nakatani, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Anna Kuwana, Kazumi Hatayama, Haruo Kobayashi
Accurate Testing of Precision Voltage Reference by DC-AC Conversion. ATS (2020)
Katsuyuki Umezawa, Takashi Ishida, Makoto Nakazawa, Shigeichi Hirasawa
Application of Grouped Flipped Classroom to Two-Year Actual Class and Its Statistical Evaluation. ICCSE (2019)
Yusuke Asada, Takahiko Shimizu, Yuji Gendai, Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Jiang-Lin Wei, Nene Kushita, Hirotaka Arai, Anna Kuwana, Takayuki Nakatani, Kazumi Hatayama, Haruo Kobayashi
Innovative Test Practices in Japan. VTS (2019)
Riho Aoki, Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Shogo Katayama, Yuto Sasaki, Kosuke Machida, Takayuki Nakatani, Jianlong Wang, Anna Kuwana, Kazumi Hatayama, Haruo Kobayashi
Evaluation of Null Method for Operational Amplifier Short-Time Testing. ASICON (2019)
Jiang-Lin Wei, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Nene Kushita, Takahiro Arai, Lei Sha, Anna Kuwana, Haruo Kobayashi, Takayuki Nakatani, Kazumi Hatayama, Keno Sato
High-Resolution Low-Sampling-Rate Δ∑ ADC Linearity Short-Time Testing Algorithm. ASICON (2019)
Takashi Ishida, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama
Complementary-Label Learning for Arbitrary Losses and Models. ICML (2019)
Toshitaka Tanebe, Takashi Ishida
End-to-End Learning Based Compound Activity Prediction Using Binding Pocket Information. ICIC (2) (2019)
Yuto Sasaki, Kosuke Machida, Riho Aoki, Shogo Katayama, Takayuki Nakatani, Jianlong Wang, Keno Sato, Takashi Ishida, Toshiyuki Okamoto, Tamotsu Ichikawa, Anna Kuwana, Kazumi Hatayama, Haruo Kobayashi
Accurate and Fast Testing Technique of Operational Amplifier DC Offset Voltage in µV-Order by DC-AC Conversion. ITC-Asia (2019)
Katsuyuki Umezawa, Takashi Ishida, Makoto Nakazawa, Shigeichi Hirasawa
Evaluation by Questionnaire on Grouped Flipped Classroom Method. ICEED (2018)
Takashi Ishida, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama
Complementary-Label Learning for Arbitrary Losses and Models. CoRR (2018)
Takashi Ishida, Gang Niu, Masashi Sugiyama
Binary Classification from Positive-Confidence Data. NeurIPS (2018)
Yusuke Matsuyama, Takashi Ishida
Stacking Multiple Molecular Fingerprints for Improving Ligand-Based Virtual Screening. ICIC (2) (2018)
Katsuyuki Umezawa, Tomohiko Saito, Takashi Ishida, Makoto Nakazawa, Shigeichi Hirasawa
Learning State Estimation Method by Browsing History and Brain Waves During Programming Language Learning. WorldCIST (2) (2018)
Katsuyuki Umezawa, Takashi Ishida, Makoto Nakazawa, Shigeichi Hirasawa
Application and Evaluation of a Grouped Flipped Classroom Method. TALE (2018)
Takashi Ishida, Gang Niu, Masashi Sugiyama
Learning from Complementary Labels. CoRR (2017)
Keisuke Yanagisawa, Shunta Komine, Shogo D. Suzuki, Masahito Ohue, Takashi Ishida, Yutaka Akiyama
Spresso: an ultrafast compound pre-screening method based on compound decomposition. Bioinform. 33 (23) (2017)
Takashi Ishida, Gang Niu, Masashi Sugiyama
Binary Classification from Positive-Confidence Data. CoRR (2017)
Takashi Ishida, Gang Niu, Weihua Hu, Masashi Sugiyama
Learning from Complementary Labels. NIPS (2017)
Katsuyuki Umezawa, Tomohiko Saito, Takashi Ishida, Makoto Nakazawa, Shigeichi Hirasawa
An Electroencephalograph-Based Method for Judging the Difficulty of a Task Given to a Learner. ICALT (2017)
Katsuyuki Umezawa, Takashi Ishida, Michitaka Aramoto, Manabu Kobayashi, Makoto Nakazawa, Shigeichi Hirasawa
A Method Based on Self-Study Log Information for Improving Effectiveness of Classroom Component in Flipped Classroom Approach. Int. J. Softw. Innov. 4 (2) (2016)
Shuji Suzuki, Masanori Kakuta, Takashi Ishida, Yutaka Akiyama
Faster sequence homology searches by clustering subsequences. Bioinform. 31 (8) (2015)
Takehiro Shimoda, Shuji Suzuki, Masahito Ohue, Takashi Ishida, Yutaka Akiyama
Protein-protein docking on hardware accelerators: comparison of GPU and MIC architectures. BMC Syst. Biol. 9 (S-1) (2015)
Katsuyuki Umezawa, Michitaka Aramoto, Manabu Kobayashi, Takashi Ishida, Makoto Nakazawa, Shigeichi Hirasawa
An Effective Flipped Classroom Based on Log Information of Self-Study. ACIT-CSI (2015)
Satoshi Matsuoka, Hitoshi Sato, Osamu Tatebe, Michihiro Koibuchi, Ikki Fujiwara, Shuji Suzuki, Masanori Kakuta, Takashi Ishida, Yutaka Akiyama, Toyotaro Suzumura, Koji Ueno, Hiroki Kanezashi, Takemasa Miyoshi
Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year. Supercomput. Front. Innov. 1 (2) (2014)
Masahito Ohue, Takehiro Shimoda, Shuji Suzuki, Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama
MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers. Bioinform. 30 (22) (2014)
Yuki Komatsu, Takashi Ishida, Yutaka Akiyama
Metagenomic Phylogenetic Classification Using Improved Naïve Bayes. ICIC (3) (2014)
Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough
: database of disordered protein predictions. Nucleic Acids Res. 41 (Database-Issue) (2013)
Youhei Namiki, Takashi Ishida, Yutaka Akiyama
Acceleration of sequence clustering using longest common subsequence filtering. BMC Bioinform. 14 (S-8) (2013)
Takehiro Shimoda, Takashi Ishida, Shuji Suzuki, Masahito Ohue, Yutaka Akiyama
MEGADOCK-GPU: Acceleration of Protein-Protein Docking Calculation on GPUs. BCB (2013)
Yuri Matsuzaki, Nobuyuki Uchikoga, Masahito Ohue, Takehiro Shimoda, Toshiyuki Sato, Takashi Ishida, Yutaka Akiyama
MEGADOCK 3.0: a high-performance protein-protein interaction prediction software using hybrid parallel computing for petascale supercomputing environments. Source Code Biol. Medicine 8 (2013)
Takehiro Shimoda, Masahito Ohue, Yuri Matsuzaki, Takayuki Fujiwara, Nobuyuki Uchikoga, Takashi Ishida, Yutaka Akiyama
The MEGADOCK project: Ultra-high-speed protein-protein interaction prediction tools on supercomputing environments. BCB (2013)
Masahito Ohue, Yuri Matsuzaki, Takehiro Shimoda, Takashi Ishida, Yutaka Akiyama
Improvement of Protein-Protein Interaction Prediction by Integrating Template-Based and Template-Free Protein Docking. BCB (2013)
Shuji Suzuki, Takashi Ishida, Yutaka Akiyama
An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers. SC Companion (2012)
Youhei Namiki, Takashi Ishida, Yutaka Akiyama
Fast DNA Sequence Clustering Based on Longest Common Subsequence. ICIC (3) (2012)
Masahito Ohue, Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama
Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis. PRIB (2012)
Kenta Mikawa, Takashi Ishida, Masayuki Goto
A proposal of extended cosine measure for distance metric learning in text classification. SMC (2011)
Makoto Suzuki, Naohide Yamagishi, Takashi Ishida, Masayuki Goto, Shigeichi Hirasawa
On a new model for automatic text categorization based on Vector Space Model. SMC (2010)
Makoto Suzuki, Naohide Yamagishi, Yi-Ching Tsai, Takashi Ishida, Masayuki Goto
English and Taiwanese text categorization using N-gram based on Vector Space Model. ISITA (2010)
Miho Higurashi, Takashi Ishida, Kengo Kinoshita
PiSite: a database of protein interaction sites using multiple binding states in the PDB. Nucleic Acids Res. 37 (Database-Issue) (2009)
Takashi Ishida, Kengo Kinoshita
Prediction of disordered regions in proteins based on the meta approach. Bioinform. 24 (11) (2008)
Takashi Ishida, Kengo Kinoshita
PrDOS: prediction of disordered protein regions from amino acid sequence. Nucleic Acids Res. 35 (Web-Server-Issue) (2007)
Masayuki Goto, Takashi Ishida, Shigeichi Hirasawa
Statistical Evaluation of Measure and Distance on Document Classification Problems in Text Mining. CIT (2007)
Takashi Ishida, Toshiyasu Matsushima, Shigeichi Hirasawa
Word Segmentation for the Sequences Emitted from a Word-Valued Source. CIT (2007)
Takashi Ishida, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa
Properties of a Word-Valued Source with a Non-prefix-free Word Set. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2006)
Masayuki Goto, Takashi Ishida, Shigeichi Hirasawa
Representation method for a set of documents from the viewpoint of Bayesian statistics. SMC (2003)
Takashi Ishida, Kouki Matsuse, Tetsuya Miyamoto, Kiyoaki Sasagawa, Lipei Huang
Fundamental characteristics of five-level double converters with adjustable dc voltages for induction motor drives. IEEE Trans. Ind. Electron. 49 (4) (2002)
Takashi Ishida, Hiroshi Yokoi, Yukinori Kakazu
Emergence of Adaptive Society with Competitive Selfish Agents. ECAL (1999)
Takashi Ishida, Hiroshi Yokoi, Yukinori Kakazu
An Emergence Model of Sense of Values in a Competitive Social System. DARS (1998)